About
I am a second-year EECS PhD student at MIT where I am advised by Sara Beery and Sherrie Wang, working in machine learning and data science. Currently, I am measuring the utility of incomplete and imperfect data as well as foundation models for ecological predictions useful for practitioners.
Previously, I was at Stanford University where I received an M.S. in Computer Science, specializing in Artificial Intelligence, a B.S. with Distinction in Electrical Engineering, specializing in Information Systems & Science, and a Notation in Science Communication with Distinction.
Research
Selected Works
Affiliations
Presentations & Featured
VegBench
Expert-Informed Multimodal Species Distribution Modeling for Data-Sparse Regions
DivShift
- AIhub (Blog Post) (May 2025)
- Stanford EarthML Seminar (Talk) (Apr 2025)
- Berkeley Stanford Meetup for Women in Computer Science & Electrical Engineering (Talk) (Apr 2025)
- AAAI-25 Special Track on AI for Social Impact (Oral Presentation) (Feb 2025)
- NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning (Poster & Recorded Talk) (Dec 2024)