I am a first year Ph.D. student in the Electrical Engineering and Computer Science department at MIT advised by Sergey Ovchinnikov. My research focuses on building interpretable machine learning models to study protein folding, function, regulation, and design.

Prior to starting my PhD, I was a Computational Associate in the Getz lab at the Broad Institute of MIT and Harvard from 2020-2023. There, I studied the genetic control of protein regulation and the dysregulation of DNA repair in cancer. Before joining the Getz lab, I graduated from Williams College, where I worked with Professor Tom Murtagh to design and implement a log-structured file system to slow the degradation of NAND-based SSDs.

What you’ll find here

Motivated by the rapid acceleration in science and technology, I’m passionate about making cutting-edge advancements in AI/ML for biology accessible to everyone. Here, you’ll find

• Paper Breakdowns: Dive into my co-authored research papers through summaries and explanations.
• Minimally Technical Overviews: Explore exciting topics in a readily understandable format.

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