About

I developed my initial interest in computer science while attending the Program in Algorithmic and Combinatorial Thinking (PACT) for four summers during high school. It's an amazing program run by Prof. Rajiv Gandhi, who taught me many life lessons that shaped my personal outlook on learning. Prof. Gandhi also mentored my first ever research project.

While completing my Bachelor's and Master's degrees at Harvard University, I was fortunate to meet Prof. Demba Ba and the Computation, Representations & Inference in Signal Processing (CRISP) group. Together, we worked on my first machine learning / computational statistics research project applied to neural spiking data that culminated in a thesis advised by Prof. Ba and Prof. Pierre Jacob. From these experiences, I was intrigued by the wide applicability of machine learning and its potential to tackle problems in many different domains.

After graduation, I wanted to experience how machine learning is used in the industrial world and worked for one year as a researcher at ASAPP. This brought a fresh perspective on important real-world questions such as scalability and interpretability that continue to influence my research today.

In Fall 2020, I returned to Harvard to begin my PhD with Prof. Ba. My research goal is to create usable and data-driven systems for positive social impact.

Although my PhD is in computer science, I am broadly interested in many subjects, including statistics, chemistry, physics, neuroscience, medicine, history, psychology, education, etc. A sampling of interdisciplinary projects from my undergraduate years can be found here. I am particularly fond of cross-field collaborations, so please reach out if you would like to work together :)