Hello! I’m a first-year Master’s student in the Machine Learning Department at Carnegie Mellon University. Previously, I studied computer science and mathematics at Worcester Polytechnic Institute, where I rowed for the men’s varsity crew team.

Research interests

I’m broadly interested in developing safe and robust foundation models, particularly with applications to healthcare. This semester, I’m working with Virginia Smith on machine unlearning and cross-silo federated learning systems.

This past summer, I worked at GoDaddy Inc as a Machine Learning Scientist Intern. I experimented with advanced Retrieval Augmented Generation (RAG) to improve their information retrieval and ranking pipeline. In addition, I developed proof-of-concept for a first-of-kind retrieval-augmented task automation AI agent: to reliably complete support tasks on behalf of customers.

Past Projects

For my senior thesis, I developed a new deep learning framework with Professor Randy Paffenroth at WPI. Our work aims to build more interpretable and finetunable neural networks.

In addition to my primary focus in Machine Learning, I also worked with Harvard Medical School and Brigham and Women’s Hospital, where I was involved in discovering biomarkers and personalized medicine for cancer.

During my undergrad, I conducted research at Dr. David Kwiatkowski’s cancer genetics lab for 3 years. My work involved analyzing RNA sequencing data to investigate biomarkers for neoadjuvant immunotherapy response.

Our work from 2021-2023 is published in the high-impact Cancer Cell journal. A similar project which I spearheaded in Summer 2023 is documented in my portfolio.