I am a Master of Engineering student at MIT studying computer science and data analytics, with a background in mathematics, economics, and machine learning.
My research at MIT has spanned economics and healthcare data analysis. Through MIT HEALS, I built Python pipelines to analyze healthcare policy datasets and used statistical modeling to identify patterns in neighborhood health. In economics research, I developed reproducible workflows for large longitudinal datasets. I have also supported MIT’s introductory machine learning course, helping students implement and refine regression, classification, and neural network models.
At Scriptify, I am building data insights and product intelligence using real-world data and evidence. My work will include developing predictive machine learning models to help identify patients who may be eligible for clinical trials, turning clinical data into actionable insights for research and product development.