I am starting my Ph.D. at UC Berkeley’s EECS program in September. I’m currently a Master’s student doing research in the Stanford Vision and Learning Lab (SVL). My advisor is Silvio Savarese.
My research interests are in building general and flexible autonomous systems. These systems should be able to learn new things with minimal amounts of extra data (for example, by leveraging prior world knowledge). They should also be able to learn continuously over their entire lifetime. I think that modeling the space of visual tasks is a great way to use previously learned information for new tasks.
I’m also interested in creating tools like datasets and environments, which accelerate research and enable researchers to test novel ideas.
PhD in EECS, 2022 (expected)
University of California, Berkeley
MSc in Computer Science (AI), 2018 (expected)
Stanford University (GPA: 4.0)
BSc in Mathematics, 2017 (expected)
Stanford University (GPA: 3.7)
I love teaching, and think that it’s an important part of participating in academia.
I have TA’ed: