5th Year PhD Student, Center for Applied Mathematics
Generically, my research tends to be a combination of transfer learning, self-supervised learning, and generalization. Descriptively, I’m motivated by the problem of maximizing performance given a new (typically small) dataset such as one might encounter in the wild. See my Current Projects tab for what I’m working on now and my Publications tab for past work.
I am advised by Dr. Bharath Hariharan from the Cornell CS Department. My undergraduate studies were at the College of San Mateo and University of California: Santa Barbara. During the two-year gap between UCSB and Cornell, I performed research with Dr. Paul Atzberger (see my Publications section) and did a year-long internship at the biotechnology startup Vium. In addition to my research at Cornell during my PhD, I’ve also worked in the Financial Engineering team at Bloomberg LP and interned at Salesforce Research working with Devansh Arpit.
I will be defending my thesis in late 2021 and am currently exploring full-time opportunities. Please feel free to reach out to me if you find my skill set of interest.