Hello and welcome to my personal website! I am a biostatistician and machine learning scientist interested in applying statistical and computational methods to biomedical and clinical research. My work spans ML/AI pipeline development, genomics, digital health, and large-scale biological data, with a particular interest in developing tools that can personalize approaches to healthcare and expand the healthspan.

I currently work as a Biostatistician at Mass General Brigham, where I develop machine learning and statistical methods for biological and clinical prediction. My work includes fine-tuning and evaluating large language models using high-performance computing infrastructure, developing DNA methylation risk scores, and conducting genomic and multi-omic analyses of Long COVID outcomes in the RECOVER study.

Previously, I worked with JP Onnela’s team at Harvard University, supporting Beiwe, a research platform that collects and analyzes digital health data from participants’ mobile devices and other sensors. I also gained experience in healthcare-focused machine learning engineering through an internship at Olira.

I received my Master’s degree in Biostatistics from the Harvard T.H. Chan School of Public Health in 2025 and graduated from Brandeis University in 2023 with a Bachelor’s degree in Neuroscience.