I am a junior at Columbia University Computer Science. My main research interests are in computer vision and natural language processing, and more broadly in unsupervised and self-supervised machine learning.
I am a member of Carl Vondrick's Computer Vision laboratory and serve as a Teaching Assistant in the Computer Science department. 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 true artificial general intelligence must be able to learn from massive amounts of unlabeled data. I enjoy working on research in self-supervised and unsupervised vision, language, and sound, with the goal of solving complex tasks which require creativity and developing 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
Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana
IEEE S&P 2019
Head Teaching AssistantCOMS 3134
Teaching AssistantCOMS 6998-3
Teaching Assistant (Fall 2017 - Spring 2019)COMS 3134