I am starting my Ph.D. at UC Berkeley’s EECS program in September. I just finished up my Master’s at Stanford, and my advisor was 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.
PhD in EECS, 2022 (expected)
University of California, Berkeley
MSc in Computer Science, 2018
Stanford University (GPA: 4.0+)
BSc in Mathematics, 2018
Stanford University (GPA: 3.7)
I love teaching, and think that it’s an important part of participating in academia.
I have TA’ed: