
I studied how neural networks build representations, from broad patterns to fine-grained features.
Hello! I’m a machine learning engineer based in the Bay Area. I currently work at Applied Materials, where I develop deep learning models to simulate and optimize semiconductor manufacturing processes.
I have a master’s in Statistics from Columbia University and a bachelor’s in Biology and Data Science from Dartmouth College.
I enjoy hiking, tide pooling, dancing, and cooking. And the occasional birding.

Reproducing and analyzing the Radial Attention paper to accelerate video generation in Wan 2.1 from O(N²) toward O(N log N).

A workflow using LLM-powered prompt enhancement and Wan 2.1 to create smooth, expressive, perfectly looping GIFs.

A screen-aware AI coach that calls you out the moment your attention wanders—Gordon Ramsay and David Goggins modes included.

A dream journal that transcribes strange midnight stories, turns them into visuals, and helps surface patterns over time.

I studied how neural networks build representations, from broad patterns to fine-grained features.

I designed and ran field studies across Costa Rica’s rainforests, coasts, and reefs.

Work supporting maternal and newborn health programs in rural communities.

Research on iron deficiency and nutrient signaling in plants.