I'm Andy, a senior studying math, computer science, and physics at Occidental College.
Broadly, my research interests involve developing machine learning models for solving problems in the physical world. I'm particularly interested in applying machine learning to problems with noisy and challenging datasets, and how the nature of the data and problem domain can inform the methdology and architecture of the models we use.
This past summer, I worked at NASA's Jet Propulsion Laboratory on the EMIT mission, developing deep learning models for NO2 & NH3 plume detection.
I've been very fortunate to have several fantastic mentors support my research: Jake Lee, John Lipor, Chris Cianci, Justin Li, and Joel Walsh.
When I'm not working a problem, you can find me out on the baseball diamond—I'm also a catcher at Occidental.
My research was spotlighted as an Oxy Story!
Fast Surrogate Modeling of Excitable and Oscillatory FitzHugh-Nagumo Dynamics was accepted to the Human Brain & AI Workshop @ IJCAI 2026 as an Oral ✨!
Edge Phoneme Recognition for Children's Speech through Age-Aware Training appeared at ACM's Learning @ Scale Conference 2026!
I joined NASA JPL's EMIT Greenhouse Gas Machine Learning group for the summer!
VISTA: Dense Multi-Label Classroom Coding with Vision-Language Models was accepted to the DataMFM Workshop @ CVPR 2026!
I presented my computer science thesis research, Fourier Neural Operators for Excitable Media Dynamics in Fitzhugh-Nagumo Systems, at NCUR 2026!
Our chapter on deep learning for ocular biometry was published in Fundamentals of Orbital Inflammatory Disorders (Springer)!