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. My research focuses on understanding the limitations of geospatial and ecological foundation models and developing approaches to leverage diverse sources of data for conservation-relevant predictions.
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)