About Me

I am a fourth year PhD Candidate at Brown University co-advised by Carsten Eickhoff in the Health NLP Lab and Ritambhara Singh in the Singh Lab. My research interests include multimodal learning, mechanistic intepretability, and biomedical applications of deep learning. I received my B.S. in Applied Mathematics, concentrating in Computer Science and Statistics, with a minor in Data Science from California Polytechnic State University, SLO. In my spare time, I enjoy being outdoors, cooking, and playing with my dog.

Recent News

09/09/2024 - OvO accepted as poster and oral at Pacific Symposium on Biocomputing!
07/27/2024 - Presented OvO at ICML 2024: video recording
06/24/2024 - Released our new paper - What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
06/17/2024 - OvO selected for a spotlight at ICML 2024 AccMLBio!
06/10/2024 - Started my research scientist internship at Amazon Web Services, working on the unifyication of retrievers and generators in RAG systems
04/03/2024 - Gave a lecture on CLIP for the Deep Learning Course at Brown - slides
07/26/2023 - Attended ICML 2023
05/28/2023 - Received my M.S. in Computer Science and advanced to candidacy (Brown University)
04/18/2023 - Presented a poster on One-Versus-Others Attention: Scalable Multimodal Integration at NENLP 2023
11/21/2022 - Presented a poster on Multimodal attention-based deep learning for Alzheimer’s disease diagnosis at MLCB 2022
09/23/2022 - Published Multimodal attention-based deep learning for Alzheimer’s disease diagnosis
07/25/2022 - Awarded T-32 NIH Predoctoral Biological Data Science Fellowship 2022
09/06/2021 - Started my PhD at Brown University
06/20/2020 - Started working at Specific Diagnostics as a data scientist
06/01/2020 - Graduated Summa Cum Laude from Cal Poly
05/01/2020 - Awarded the Robert P. Balles Award for Graduating Senior Mathematical Excellence
06/01/2019 - Awarded William and Linda Frost Research Grant

Last updated November, 2024