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V8

CSE Research V8

CSE RESEARCH

CSE Teaching Professor Christine Alvardo along with colleagues at three other Southern California universities received a $1.3 million grant from the National Science Foundation (NSF) to investigate how gender, ethnicity, and other factors impact those who want to study computer science. The researchers will study application, admission, and retention data to better understand how demographics and pre-college preparation influence student success, and specifically what factors create or prevent access to a computer science education.

For the first time, computer scientists and researchers with CSE Professor Julian McAuley’s lab demonstrated that systems designed to defeat deepfakes can be deceived. Detectors can be defeated by inserting inputs called adversarial examples into every video frame, which cause artificial intelligence systems to make a mistake. With the spread of fake videos on social media platforms, training detectors against adaptive adversaries is imperative. 

Kamalika Chaudhuri, a CSE associate professor, is part of a multi-university team that has won a prestigious U.S. Department of Defense Multidisciplinary University Research Initiative (MURI) Award to develop rigorous methods for human-machine collaborations against adversaries.

Arun Kumar, a CSE professor and Halicioglu Data Science Institute assistant professor, is working to bridge the gap between computing systems and machine learning. Big data is an incredible asset in any industry, but relies on sophisticated data sorting techniques to isolate useful information and to harness its predictive capabilities. These machine learning techniques are often slow and both labor and resource intensive, and it is this disconnect that Kumar and his colleagues are seeking to address through focusing on the deployment issues of scalability and usability.

According to research led by Melissa Gymrek, a professor of Medicine and Computer Science and Engineering, mutations that occur in certain DNA regions may play a significant role in autism spectrum disorders. Called tandem repeats, these mutations are often overlooked by researchers because “they’re generally non-coding– they do not make proteins; their function is unclear; and they can be difficult to analyze,” says Gymrek. The study published in Nature found that on average there were more mutations in ASD children. Using a novel algorithmic tool developed by UC San Diego bioengineering undergraduate student Bonnie Huang, researchers found that tandem repeat mutations predicted to be the most evolutionarily deleterious were found at higher rates in ASD children. 

 

 

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

The Ongoing Pandemic Challenge

The Ongoing Pandemic Challenge

The Ongoing Pandemic Challenge: CSE Faculty Respond

By Josh Baxt 

Nobody was prepared for the SARS-CoV-2 virus. Suddenly, businesses closed, schools were shut down and people had to find new ways to fulfill their obligations.

The UC San Diego Department of Computer Science and Engineering was on top of it from the start, adopting creative ways to keep classes, conferences and other meetings afloat. But after the initial rush to problem-solve, CSE faculty began assessing how the response could have gone better and bringing in additional tools, both new and old, to address future outbreaks.

A Blank and Endless Void

Imagine giving a presentation and the audience only responds with blank stares – no reaction whatsoever. That’s been a common occurrence for teachers worldwide, as they adapt their classes to Zoom and other online platforms. They put in the work, but they can’t always convince students to turn on their cameras.

“When I’m presenting the lecture content, it feels like I’m talking into a void,” said one professor.

To better understand online classroom dynamics, CSE researchers studied UC San Diego faculty and student attitudes towards online classes. The paper was presented at the Association for Computing Machinery’s Conference on Human Factors in Computing Systems.

“We wanted to understand instructor and student perspectives and see how we can marry them,” said Associate Professor Nadir Weibel, PhD, senior author on the paper. “How can we improve students’ experience and give better tools to instructors?”

The project was initiated by PhD student and first author Matin Yarmand, along with co-authors Scott Klemmer, PhD, a CSE professor, and Carnegie Mellon University PhD student Jaemarie Solyst. The team conducted faculty interviews and distributed student surveys to collect their experiences.

They found faculty were often discouraged by the lack of feedback. Without visual cues, they weren’t sure if they were getting their points across. On the other side, students resisted turning on their cameras and were often muted. Many didn’t want their peers to see them; others were eating or performing unrelated tasks; some were unaware the video feedback helped instructors; and a hardcore few saw no need to turn their cameras on at all.

Students felt awkward asking questions on video but liked the chat functions, which made them more likely to participate. Also, online classes lack opportunities for short conversations and questions, the “hallway time” that is so common before and after live lectures.

Nadir Weibel
Matin Yarmand
YY Zhou
Debashis Sahoo

The researchers posed several potential solutions. Technology that reads social cues, such as facial expressions or head nods, could provide invaluable feedback for instructors. Video feeds could be refined to make instructors the center of attention, as they are in real-life classrooms, rather than one of many co-equal video boxes.

Increased chat use could improve both online and in-person classes, as some students have always been reluctant to call attention to themselves.

Weibel and colleagues have also been exploring how virtual reality environments could improve online learning. Using Gather, they tested an instructor lounge, in which students and faculty could gather before, or even during, a class.

The team is also working on a natural language processing bot that could make the experience more interactive. If two people are struggling on the same assignment, it could connect them to improve collaboration or point to additional resources on Canvas.

The authors believe these and other refinements could make online learning more effective, as it is unlikely to go away entirely.

“Some classes will be back in person,” said Weibel. “Some will be only online and some will be hybrid, but I think online learning is probably here to stay.”

The Show Must Go On

If researchers conduct a study, but nobody ever hears about it, does that information exist? Conferences are essential components to advance science, but converting live meetings to virtual ones can be challenging.

Enter Whova. The virtual conference platform was founded in 2014 by CSE professor and Qualcomm Endowed Chair Yuanyuan (YY) Zhou and colleagues, though they didn’t have COVID lockdowns in mind at the time.

“It’s really important for graduate students to network at conferences to advance their careers,” said Zhou, “but they really don’t know how to meet people. Whova was designed to help them make those connections.”

CSE was one of Whova’s first clients, and then the service went viral to other universities, companies and even government agencies, including NASA. “I was so nervous,” said Zhou. “I thought, please don’t crash, please don’t have a security issue.”

Whova continued to grow, steadily adding capabilities, until COVID hit, leading to sudden, massive evolution. At first, events were simply cancelled, but then the community began to adapt, and Whova was a big piece of that, integrating with Zoom, WebEx, Microsoft Teams and other virtual meetup platforms.

 

But it was more than simply pivoting the technology. Whova created webinars and other trainings to teach conference organizers how to produce more seamless online meetings. Interest was intense.

“We launched a webinar in March 2020 and about a thousand people showed up,” said Zhou. “And then word spread: Whova knows how to do virtual events.”

Whova has helped thousands of events go virtual – in June 2021 alone they supported 680.

“The first two months of the pandemic, people just froze,” said Zhou, “and then they started looking for solutions. We found the majority of conference organizers weren’t that tech savvy, but with a little help, they adopted the technology quite rapidly.”

Preparing for the Next Pandemic

Viruses do not act alone; they co-opt their hosts’ normal biological mechanisms to create more viruses. In turn, the host’s immune system senses the viral invasion and takes action to stop it.

Understanding this response, on a molecular level, could provide a leg up on the next viral outbreak, identifying infections and possible therapeutic interventions.

In a paper published in EBioMedicine, researchers at UC San Diego, Scripps Research and other institutions detailed their efforts to identify a molecular signature for the body’s viral response and how they ultimately found two.

“We used machine learning to discover an invariant host response, which doesn’t change, regardless of the virus,” said Debashis Sahoo, PhD, assistant professor in CSE and the Department of Pediatrics and first author on the paper. “This model works in every possible situation.”

The key was measuring gene expression – which genes are turned on and off – following viral infection. The team investigated the host response to HIV, SARS, MERS, swine flu and other pathogens, compiling a comprehensive gene expression data base.

They then used machine learning to identify a 166-gene viral signature that indicated infection. Equally important, they found a 20-gene signature that predicts disease severity.

“We tested these gene expression signatures on COVID-19 and they were perfect,” said Sahoo.  “The first data set perfectly separated the infected and uninfected samples. They were able to predict both the infections and the severity.”

These discoveries could come in handy for future outbreaks. Disease severity markers could help identify which patients will need the most robust treatments and support public health officials as they allocate resources.

In addition, successful drugs diminish these gene expression signatures, offering a promising way to identify treatments during an emerging pandemic.

“This model can help us predict host responses across all pandemics,” said Sahoo, “as well as predicting potential drug candidates. If a new pandemic emerges, we can deploy this to rapidly identify treatments.”

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

Shelby Thomas

Shelby Thomas

Shelby Thomas (Ph.D. '20)

Persevering and Pioneering in a Pandemic

By Kimberley Clementi

Shelby Thomas (Ph.D. ’20) is not averse to risk. This is apparent in his chosen sport – toes to the nose surfing. It factored into the decision to take a leave of absence from his UC San Diego Computer Science and Engineering Ph.D. program only a few months shy of completing his dissertation. It also prompted his next move — co-founding a FinTech Blockchain startup, an industry so cutting-edge it lacks adequate language to define it.

Still, timing is everything.  Thomas timed his make-it or break-it move for the winter quarter of 2020, just one month ahead of an unforeseen global pandemic. 

Calculating Risk before COVID-19

Thomas’ gambit was a carefully considered one. After all, the stakes were high. Beginning a startup not only placed his Ph.D. at risk but also the engineering career of his wife, Reetika Agarwal (M.S. ’16). So in the fall of 2019, Thomas turned to his CSE advisors, Associate Professor George Porter and Professor Geoffrey Voelker, for advice.  

“George and Geoff understood the position I was in and grounded me with the reality of the situation. They would support me in doing both the Ph.D. and startup at the same time but warned me that the statistics were not in my favor,” says Thomas. They were willing to take those odds on me.”

Confident they had support from their CSE community, Thomas and his wife packed their bags, broke their San Diego lease and moved to the San Francisco Bay Area. Together, with a combined income of $0, they began searching for an apartment. That was early March.

Then, two weeks later, the first cases of COVID-19 were reported in the United States. Markets instantly dipped. The World Health Organization declared a pandemic. Life and work began to shut down. By the second week of March, massive selloffs in the stock market resulted in plunging Dow Jones Industry averages. 

For Thomas’ fledgling startup, the global crisis could not have come at a worse moment. Thomas and his long-term friend and business co-founder, and CEO Thomas Scaria, had just begun to raise funding for their company, Prysm.  

Surviving a Crisis within a Crisis

At the inception of a startup company, the early months are critical. When COVID-19 hit, venture capitalists quickly focused on helping existing companies which dramatically hurt the funding market for new companies. Thomas leaned on his wife and CSE community for their unwavering support.

“A key source of motivation that helped me keep my head up was my advisors. They remained optimistic and encouraged me to continue to press forward,” says Thomas. “The structure they gave helped to keep my work scheduled and consistent.”

Thomas explains that professors Porter and Voelker set weekly meetings to help him complete his dissertation as well as two additional research papers. With their continuous encouragement and motivation, Thomas was able to defend his Ph.D. and meet every standard for graduation before the close of 2020.   

Thomas’ advisors, while pivotal to his success, were not his only pillar of support from within the CSE community. In the early days of the pandemic, when concerns for safety and resource scarcity were at their peak, Thomas relied on his CSE friends and classmates for access to essential supplies.

“My labmates were an incredible support during this period,” says Thomas. “If one person got masks or PPE they would ask in the group if anyone needed it, even though they knew it would put their own supply in peril. There was strength in numbers.”

Playing the Numbers
Today, from the vantage of summer 2021 and the 17th floor window of their downtown San Francisco office, Thomas acknowledges that Prysm survived the pandemic “by the skin of our teeth.” The company was able to secure early investments through relentless shipping. They were smart with their money. Now, Thomas says, investors are clearly seeing the potential that inspired him to take risk in the first place – an opportunity to revolutionize the financial services industry.

Long before COVID-19 brought information and resource inequities into sharp focus, Thomas and his co-founder Scaria were examining disparity within the finance industry. Thomas cites the number 0.1%. He explains that traditional finance systems such as brokerages, exchanges and banks limit wealth acquisition to the top 0.1% by acting as gatekeepers to sophisticated financial tools. 

Thomas and Scaria are breaking ground – and the prevailing Wall Street model – working in an area called Decentralized Finance, or DeFi. Their company, Prysm, offers a platform based on blockchain technology which eliminates third-party middlemen previously indispensable to financial transactions. Users can discover credible investors, create a community, and invest together. Put simply, the third-party is replaced by code. The code authenticates the transactions. 

“We can have zero-trust applications,” says Thomas, citing some of the lingo that is burgeoning within this financial frontier. “Two parties don’t have to trust each other. But they can trust that the code is working correctly. And that allows us to facilitate the transaction.”

Thomas contends that computer coding can bring financial equity by enabling users around the world to invest with little effort and little capital. Rather than a one-size-fits-all approach to finance, code provides access to financial tools while making no assumptions about the individual using them. 

“The beauty of DeFi is that financial tools can be recreated in code and made specific for every individual and group regardless of background, goals and ideology,” says Thomas.

Thomas is confident DeFi will also transform ordinary, day-to-day transactions, like shopping online, paying for food deliveries and completing real estate deals. He foresees applications that will benefit everyone, everywhere. Once again, Thomas credits CSE for expanding his altruistic outlook.

“CSE shaped me by helping me obtain a nuanced understanding of several issues facing the world today – from economic and public policy to energy and social justice,” says Thomas. “Contrary to popular belief, a nuanced understanding of these issues makes me believe that change is possible rather than succumbing to cynicism.”

“Change is possible.”  Thomas firmly holds onto this conviction a year into the pandemic. He pairs this message with one on perseverance, written on his office whiteboard: “Be patient and tough; someday this pain will be useful to you.”

He also keeps an eye on the surf report in Santa Cruz. Thirty minutes to the next swell.

Shelby Thomas decided to launch a startup, Prysm, in winter 2020—just a month before the COVID pandemic hit. “A key source of motivation that helped me keep my head up was my {CSE} advisors. They remained optimistic and encouraged me to continue to press forward,” he says today.

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

Natalie Castellana

Natalie Castellana

Natalie Castellana (Ph.D. '12)

Computing a Response to COVID-19

By Kimberley Clementi

Not many people were thinking about antibodies in 2019. Back then, if the average person even contemplated the human body’s response to infectious disease, it was likely only to consider preventative and palliative care – immune boosters like zinc, elderberry, Vitamin C and plenty of rest.

Natalie Castellana (Ph.D. ’12) was the exception. When COVID-19 brought antibodies to the forefront of the pandemic discussion, Castellana was well ahead of the curve. She had been studying antibodies for over a decade and, in 2009, founded Abterra Biosciences (formerly Digital Proteomics) to translate innovations in bioinformatics into applications for the pharmaceutical and biotech industries.

Leading the Science

Throughout 2020, while world leaders looked to science to inform their response to COVID-19, Castellana viewed the pandemic from a parallel perspective. The UC San Diego Computer Science and Engineering graduate and CEO of Abterra Bio believed that computer science, in conjunction with other scientific fields, had a critical role to play in ameliorating the global health crisis.

Prior to the pandemic, Castellana and her team at Abterra Bio – including two CSE classmates, Stefano Bonissone and Anand Patel – were already looking to computer science to deconvolute the adaptive immune response to infectious diseases. They had developed a platform, Alicanto®, that uses mass spectrometry and next generation sequencing to rapidly identify which proteins could be most effective in neutralizing viruses. When COVID-19 emerged, Castellana recognized that Abterra Bio’s innovations were relevant and timely.

“COVID happened. And it happened to be right in our path – our line of sight,” Castellana says. “We were already looking at finding antibodies that have therapeutic potential by looking directly at people who had overcome a disease. So it was not that hard to recognize that we should do this for COVID, too.” 

Throughout the pandemic, Abterra Bio worked with the San Diego Blood Bank to obtain blood samples from local San Diego patients who had recovered from COVID-19. The company then analyzed these samples for virus-neutralizing antibodies. While the research is ongoing, Castellana is intrigued by the challenge COVID-19 variants present to therapeutic treatments and believes her team can help.

“With our approach, we can look at an antibody protein directly. We can pick out an individual antibody and determine whether it is neutralizing all the different variants or just a subset,” says Castellana.

Not only can Castellana’s team identify promising antibodies, but they can find them faster.  Abterra Bio’s platform employs algorithmic and machine learning approaches to accelerate the pace of biological research, which can otherwise be like looking for the proverbial “needle in a haystack.” Computer science, and the computational speed it provides, could potentially shorten the timeline to develop new treatments and drugs.

“While biology is not any different now than 100 years ago, we now have better tools to understand the science,” Castellana explains. “That’s what drives innovation, the technology.”

Harnessing Protein Power

Technology is only one aspect of Castellana and Abterra Bio’s groundbreaking work. Their interdisciplinary team of data scientists and biologists are pushing the boundaries of bioinformatics by starting with a different thesis: one based in proteomics rather than genomics.

Treating infectious diseases like measles and diphtheria, and now COVID-19, generally follows the long-proven method of using antibodies from survivors of the disease. Most studies then focus on gene sequencing and look at the B cells that produce antibodies. The challenge is that B cells can be exceedingly rare and elusive, or even irrelevant, to overcoming the disease.

In contrast, Abterra Bio’s platform, Alicanto®, mines the antibody proteins directly. This allows researchers to examine the antibody molecule and the proteins within an organism. It’s a game-changer in the way science tackles potentially deadly diseases – one that essentially harnesses the power of the human immune response system. 

“Every human generates billions of different antibodies to a variety of different challenges, from vaccines to pathogens to cancer cells,” says Castellana. “Our technology is built to identify the antibodies that have been fully optimized by the immune system and therefore are nature’s solution to overcoming a disease.”

Sequencing a Company’s Path

As Castellana looks to the future, she is optimistic Abterra Bio’s technology will not only impact treatment of infectious diseases but oncology as well. Over the next two years, the company will continue validating and extending their platforms and will soon have antibodies in preclinical development for several therapeutic areas. 

While the road ahead looks promising, Castellana is quick to recognize that Abterra Bio is building on research and algorithms conceived a decade earlier at CSE. She credits her co-founders and advisors, CSE Professors Pavel Pevzner, Vineet Bafna and Nuno Bandeira for their ground-breaking work in bioinformatics and computational tools. 

“From their pioneering work, a variety of tools emerged – from sequencing antibodies directly from the protein, to using next generation sequencing to look at patient response to disease, to trying to find virus neutralizing antibodies,” she said. “A whole body of work came out of their labs. And that’s where the company started – with the technology developed from UCSD.”

In addition to licensing intellectual property to Abterra Bio, UC San Diego has provided support to commercialize the fledgling company’s technology. The company worked with UC San Diego Office of Innovation and Commercialization to license software and patents developed by the campus team. 

Castellana acknowledges one more valuable legacy from CSE: its interdisciplinary learning environment. She describes CSE as “entrepreneurial” and “collaborative across disciplines” – a combination Castellana has replicated at Abterra Bio, noting almost all the company’s employees come from the amazing talent pool at UC San Diego across a variety of disciplines. 

“One thing I thoroughly enjoyed about CSE was the opportunity for interaction across subfields within computer science. It was exciting to be just down the hall from world class research in cryptography, computer graphics, and machine learning,” says Castellana. “Exposure to people thinking about things in different ways is so important to innovation.”

For Castellana, applying her computer science background to biological problems was more than a cross disciplinary approach to problem solving. It was personal, too. As Castellana is fond of saying, she wanted to be a “computer scientist with a soul.” 

“I knew I wanted to switch into bioinformatics, to apply my knowledge about computer science to biological problems,” says Castellana. “How do we live healthier and fuller lives? That was the answer I wanted to solve.”

When COVID-19 brought antibodies to the forefront of the pandemic discussion, Natalie Castellana was well ahead of the curve. In 2009, she founded Abterra Biosciences to translate innovations in bioinformatics into applications for the pharmaceutical and biotech industries.

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

CSE Changes and Remembrance V8

CSE Changes and Remembrance

Fond Farewell to Viera Kair

Viera Kair joined CSE in 2003 and was a fixture of the  undergraduate advising team for nearly 20 years before her retirement in June.  During her tenure in the department, Kair advised thousands of students and mentored many colleagues.  Kair has been an essential and valued resource for CSE students, faculty, and other campus stakeholders.

Kair was among the first people on campus to be certified by UC San Diego’s yoga teacher training and she taught yoga on campus at the library consistently from the date of her certification up until the pandemic hit. In retirement she is looking forward to traveling with her husband, Steve, and spending more time with her family in Serbia.




Walter Savitch, Professor Emeritus of Computer Science and Engineering, passed away on February 1, 2021, just three weeks before his 78th birthday, due to complications related to Parkinson’s disease. Savitch is remembered as a kind advisor, dedicated educator, a mentor and a friend, and a world-class computer scientist. Savitch was best known for the eponymous “Savitch’s Theorem,” and during his time at UC San Diego wrote several popular introductory computer science textbooks. He was one of the first junior computer scientists hired onto the UC San Diego faculty in 1969, and was instrumental in guiding the department from its beginnings as the Applied Physics and Information Science (APIS) Department into the eventual Computer Science and Engineering Department. 

Ron Graham, a professor of computer science and mathematics, passed away on July 6, 2020,  at his home in La Jolla from complications due to bronchiectasis. He was 84. During a career that spanned six decades, Graham discovered Graham’s Number, served as president of both principal mathematical associations in the United States and was known for his playful approach to mathematics. He famously once said that he considered juggling a physical form of mathematics and even co-authored an entire book of mathematics-based card games. 

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

Alumni Shoutouts V8

Alumni Shoutouts

Newly minted CSE Ph.D. Jeremy Blackstone has trekked back to his undergraduate roots at Howard University, this time as a professor. Before that journey, he was part of CSE Professor Ryan Kastner’s research group and a member of the Engineers for Exploration (E4E). Blackstone was a member of the first Engineers for Exploration (E4E) Summer REU program in Summer 2013 when he was an undergraduate at Howard University. He returned to UC San Diego to work on the Tinker project. He was funded to participate in the summer research programs as part of the UC San Diego Howard Partnership for Graduate Success — a UC HBCU-funded initiative.

Bridget Benson (Ph.D. ’10) is now an Associate Professor at Cal Poly SLO.

Tom Ristenpart (Ph.D. ’10), an associate professor at Cornell Tech, was honored with two distinguished paper awards at the Usenix Security Symposium.

Alexandra Boldyreva, a professor at Georgia Tech, has won a PKC Test of Time Award for work she completed as a CSE Ph.D. student in 2003.

Kaiser Stefan Pister Creates New Product Called Newsie.

Kaiser Stefan Pister (B.A. ’18, M.S. ’19) is part of a team that is launching a new product called Newsie. A web page reader powered by AI voices, Newsie seeks to improve accessibility to the Internet for the visually impaired. Newsie comes a year after the team’s first product, called Audiodub, which uses AI to translate video content to allow creators to share their work with the entire world. Both products were created with the intention of breaking down barriers and connecting people of all backgrounds and abilities. 

Ranjita Bhagwan Honored with Inaugural ACM India Award

The Association for Computing Machinery (ACM) India Council has honored Ranjita Bhagwan (Ph.D. ’04) with the inaugural 2020 ACM India Outstanding Contributions in Computing by a Woman Award. The award recognizes women professionals who have made fundamental contributions to computing in India.

Didem Unat Received European Research Council Grant

Didem Unat (Ph.D. ’12), now an assistant professor at Koc University in Turkey, was awarded a prestigious €1.5 million ERC Starting Grant for her project, BeyondMoore: Pioneering a New Path in Parallel Programming Beyond Moore’s Law.

Joseph Jaeger Captures CRYPTO 2020 Award

After completing his doctorate, Joseph Jaeger (Ph.D. ’19) has gone on to a postdoc appointment at the University of Washington and earned accolades with a Best Paper by Early Career Researchers Award at Crypto 2020. 

Do you have an achievement you’d like to share with your CSE community? Let us know! cse-communications@eng.ucsd.edu 

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

Our Alumni Community V8

Our Alumni Community

Two alumni were honored with the Distinguished Alumni Award at this spring’s CSE Research Open House: Darrell Long (Ph.D. ’88), currently a Distinguished Professor of Engineering at the University of California Santa Cruz, and Jeff Carter (B.A. ’86), the vice president overseeing relational database services at Amazon. They were honored for their contributions to academia and industry, and continue to be active in the CSE alumni network.

A worldwide leader in the field of artificial intelligence, DeepMind has established three fellowships for master’s students coming from underrepresented communities in graduate machine learning programs. DeepMind fellows receive two-year fellowships that provide tuition, a stipend, a travel grant, and a DeepMind mentor. Beyond supporting further research in machine learning and artificial intelligence, these fellowships were also developed with the goal of increasing diversity in the field of computing. UC San Diego was one of just three universities in the United States selected to participate in the program, in part due to alumnus Oriol Vinyals (M.A. ’09). Three CSE students are currently DeepMind fellows: Anshuman Dewangan, Ulyana Tkachenko, and Garrett Wolfe.

New CSE Alumni Advisory Board Scholarships and Winners

The CSE Alumni Advisory Board recently launched a $1,000 Leadership Excellence scholarship to help students impacted by COVID 19, as well as created the CSE Alumni Advisory Student Org Fund that provides $350 grants for student organizations hard-hit by the pandemic. 

Congratulation to this year’s winners!




AAB Speakers Impart Advice to Current Students in New Series

The new AAB Speaker series is designed to give current CSE students a look at the lives of successful alumni. 

Kylie Taitano (B.S. ’14) was the first speaker and shared her experience working as a senior software engineer at Intuit and outlined the general responsibilities and expectations of a software engineer role. 

Alvin Chen (B.S. ’13), now a senior software engineer at Microsoft Research, shared how to practice a growth mindset to shape your career growth.

Hesler Rodriguez (B.S. ’13) gave a high-level overview of how to build a service using Amazon Web Services (AWS), drawing from his experience working as a Senior Software Engineer at Amazon. 

Spearheaded by CSE Chair Sorin Lerner, CSE’s inaugural Pixel Art Competition was held this spring. Anyone affiliated with CSE, past and present, was encouraged to participate. Patrick Traynor (B.S. ’18) received Best CSE Spirit for his submission. Christopher Jordan won Best Animation

 

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

CSE Honors V8

CSE HONORS

CSE’s Stefan Savage has been recognized at UC San Diego and internationally for his acclaimed work in cybersecurity. For the past 240 years, the American Academy of Arts and Sciences (AAS) has honored individuals whose work has advanced the public good, and this year Savage was elected into the class of 2021 fellows. Savage was also honored with the prestigious Distinguished Researcher award from the UC San Diego Academic Senate. These awards are a sign of respect from peers for groundbreaking research conducted by members of UC San Diego faculty. Savage’s research is particularly noted for his usage of both computer science and the social sciences to pinpoint security vulnerabilities in cars, track fraudulent financial transactions, and design methods of measuring distributed denial of service attacks.

A relatively new member of the department, it has only taken two years for Assistant Teaching Professor Joe Politz to be recognized for his tireless work and dedication to his students with the Distinguished Teacher of the Year Award from the UC San Diego Academic Senate. Says CSE Chair Sorin Lerner, “I am so excited to see Joe Politz be recognized with this prestigious award. He is a fantastic teacher whose originality, energy, and genuine care for students is an inspiration to us all. I am also excited that our CSE teaching faculty have been recognized with this university-wide award for the second year in a row!” Associate Teaching Professor Mia Minnes was honored with this award the previous year.

Standing the Test of Time: Mihir Bellare

CSE’s Mihir Bellare, an internationally renowned cryptographer and a pioneer in data security and privacy, has been honored with the prestigious IACR (International Cognitive Ability Resource) Test-of-Time award for his Crypto 2006 paper: New Proofs for NMAC and HMAC: Security Without Collision-Resistance. This is not the first time Bellare’s research has stood the test of time: he also received the Test of Time Award, ACM CCS 2011, given for the best paper from ten years prior.

CSE’s Victor Vianu gave a presentation titled Datalog Unchained as part of the Gems of PODS series at the ACM SIGMOD Principles of Database Systems (PODS) conference this past June.  Compared to the ACM PODS Alberto O. Mendelzon Test-of-Time Awards, which he received in 2010 and 2015, this series encompasses a broader body of work. Vianu’s talk described his work on database query languages inspired by logic programming. His research began in 1988 and spanned nearly a decade.

CSE Assistant Teaching Professor Niema Moshiri has been selected by students as the department’s top teacher in only his first year of teaching. Having completed both his undergraduate degree and his Ph.D at US San Diego’s Jacobs School of Engineering, Moshiri holds a unique perspective as a former student, former TA, and current member of the faculty. He currently conducts research on computational biology with a focus on HIV phylogenetics and epidemiology, while also intentionally rebuilding the Advanced Data Structures course (CSE 100) to adapt to the shift to a fully online learning environment. His unique methods and ability to connect with his students, sets Moshiri apart from his peers.

In recognition of his impressive body of research to create software to support persistent memory, CSE Professor Steven Swanson was recently named the inaugural holder of the Halicioglu Chair in Memory Systems at UC San Diego. The $1 million chair is part of a larger $18.5 million gift made in 2013 to the department by CSE alumnus Taner Halicioglu (CSE ‘96). The chair provides a dedicated source of funds for the chair holder’s scholarly activities as well as support for graduate students. As the director of UC San Diego’s Non-Volatile Systems Laboratory, Swanson directs a team that builds computer systems to explore how new memory technologies will impact the future of computing.

STUDENT HONORS

Undergrad Researchers Shine at CRA Awards

Four standout undergraduate engineers were recognized at the Computing Research Association (CRA) for their significant contributions to research. Bioinformatics major Bonnie Huang and Data Science major Raechel Walker were named finalists, while Computer Science and Engineering students Kabir Nagrecha and McKenna Lewis received honorable mentions. 

 

CSE Undergraduates Stand Out at POPL ‘21 Conference

Mentored and guided by CSE Assistant Professor Nadia Polikarpova, three UC San Diego computer science undergraduate students took home top honors at the Symposium on Principles of Programming Languages’ Student Research Competition: Darya Verzhbinsky and Daniel Wang received first place for their work on Polymorphic Enumerative Type-Guided Synthesis, and David Cao earned second place for his paper on Automated Dependent Resource Analysis. 

 

Congratulations to Qualcomm Innovation Fellows

Four teams from UC San Diego CSE were awarded Qualcomm Innovation Fellowships that recognize creative Ph.D. students and provide them with funding, mentorship, and other resources to pursue innovative research. Each team will receive $100,000 from Qualcomm to research in a multitude of fields, including autonomous vehicles and natural language processing. 

 

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

Letter From the President V8

Letter from the president

Dear fellow CSE alumni,

What a year it has been– for our UC San Diego and CSE communities and our world as we grapple with a global pandemic. I am truly inspired by the impactful work our alumni, students and faculty continued to produce under incredibly trying circumstances.

With the overnight switch to virtual learning, remote working and events, the CSE community pushed ahead, finding ways to connect and engage with alumni, students and faculty. I am proud of the resilience, dedication and passion to serve our alumni and students that I saw this last year.

To highlight a few examples:

  • Our CSE Alumni Virtual Reunion, where we honored two distinguished alumni for their contributions in academia and industry: Darrell Long (Ph.D. ’88), a Distinguished Professor of Engineering at the University of California Santa Cruz, and Jeff Carter (B.A. ’86), the vice president overseeing relational database services at Amazon, were selected as the 2021 CSE Distinguished Alumni. The keynote was given by our own Oriol Vinyals (M.A. ’09), the principal scientist at DeepMind, and a team lead of the Deep Learning group. His internationally known work focuses on Deep Learning and Artificial Intelligence.
  • We were proud to be part of the traditional CSE End of the Year Celebration and present the inaugural CSE Alumni Advisory Board (AAB) leadership scholarships. More than 21 master’s and undergraduate students were awarded new scholarships created by the AAB in response to the COVID-19 pandemic and its impact on our students.
  • We also launched our CSE Alumni Talks series to allow students to hear and learn firsthand from our alumni. I am grateful to our first three speakers: Kylie Taitano (B.S. ’14), a senior software engineer at Intuit, Alvin Chen (B.S. ’13), a senior software engineer at Microsoft Research, and Hesler Rodriguez (B.S. ’13), a senior software engineer at Amazon. If you know of an alumnus who would be interested in speaking to the next generation of computer scientists and engineers, please drop me a line!

Though uncertainty around COVID still looms, this next academic is expected to look different. Please keep your eye on CSE social media accounts for upcoming events and opportunities to stay in touch.

Aaron Liu, AAB President

copyright 2020 – Computer Science & Engineering – University of California San Diego

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V8

Letter From the Chair V8

Letter from the chair

Greetings, CSE alumni and friends! I started as Chair on July 1, 2020, right in the middle of the pandemic, taking the reins from Dean Tullsen, who did a wonderful job guiding this department to international recognition during his previous four years as chair. 

Clearly we have all journeyed through a long and arduous year. Through it all, our CSE faculty and students have not missed a beat in producing impactful research that will serve our community and the world. You will read stories in this issue of the CSE Alumni Magazine about how our alumni and faculty persevered through this pandemic. And more than persevering, we have come out stronger and more resilient than ever. We will help shape the future. We will turn “why” into “why not.” We will inspire and be inspired, as you will read in this issue.

Feel free to get in touch or take part in one of our events this next academic year to engage our alumni with the CSE community. I am always excited and eager to hear from you! And if you haven’t connected with us on social media, please do so! You can follow us on Twitter, Instagram, Twitch and LinkedIn (see below) for all the latest CSE news and announcements.

Sorin Lerner, CSE Chair

copyright 2020 – Computer Science & Engineering – University of California San Diego