I am a post-doc at Harvard Medical School, advised by Dr. Danielle Bitterman in the Bitterman Lab. My current research focus is on the intersection of interpretability and healthcare in vision-language models. In January of 2026, I finished my PhD at Brown University co-advised by Dr. Carsten Eickhoff in the Health NLP Lab and Dr. Ritambhara Singh in the Singh Lab. My broader 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

• 01/30/2026 - Successfully defended my thesis, Advancing Attention Mechanisms in Multimodal Deep Learning Models
• 01/08/2026 - Our work, Mechanisms of Prompt-Induced Hallucination in Vision–Language Models is out now!
• 09/18/2025 - Proposed my thesis, Advancing Attention Mechanisms in Multimodal Deep Learning Models
• 08/14/2025 - Accepted post-doc position at the Bitterman Lab!
• 07/27/2025 - Presented Forgotten Polygons at ACL 2025, in Vienna
• 05/19/2025 - Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts is out now! PvP
• 05/16/2025 - Our work showing that mutlimodal large language models (MLLMs) are shape-blind, was accepted to ACL 2025! Check it out here:
• 04/30/2025 - Presented NOTICE at NAACL 2025, in New Mexico
• 01/23/2025 - Our work on mechanistic interpretability in vision-language models, NOTICE, was accepted to NAACL 2025!
• 01/07/2025 - Presented OvO at Pacific Symposium on Biocomputing in Kona, Hawaii
• 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 March 5th, 2026