I am a senior at Columbia University studying computer science, advised by Carl Vondrick. My main research interests are in computer vision and machine learning (in particular, self-supervised), as well as in language, sound, and interaction. This summer, I will be working with Chen Sun at Google Research.
Previously, I was a member of Suman Jana's Security laboratory, where we investigated adversarial robustness in neural nets and machine learning applications for automated vulnerability detection. I spent a summer working on machine learning optimization at Intel.
I believe that the future of artificial intelligence lies in algorithms that can learn from massive amounts of unlabeled data. I enjoy working on research that uses self-supervision to train machines to solve complex tasks and develop a rich conceptual understanding of the open world.
What's Missing from Self-Supervised Representation Learning?
Dave Epstein*, Yiliang Shi*, Eugene Wu, Carl Vondrick
NEUZZ: Efficient Fuzzing with Neural Program Learning
Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana
IEEE S&P 2019
Teaching AssistantCOMS 6998-3 (Spring 2019)
Head Teaching AssistantCOMS 3134 (Fall 2017 - Summer 2019)