Welcome to my academic website! I am currently a final-year Ph.D. candidate at MIT, affiliated with the Center for Computational Science and Engineering (CCSE) and the Laboratory for Information and Decision Systems (LIDS), advised by Professor David Simchi-Levi. I also collaborate with Dr. Josué C. Velázquez Martínez at the Center for Transportation and Logistics (CTL). Before MIT, I earned my bachelor’s degree in Mathematics and Computer Science from the Courant Institute of Mathematical Sciences at New York University.

My research focuses on developing data-driven methods that integrate computer vision, machine learning, and operations research to improve demand forecasting and product design decisions in fashion and retail industries. By leveraging multimodal data – including images, text, and operational records – I build predictive and generative models that capture consumer preferences and guide more effective design and forecasting strategies. More broadly, I am interested in the interplay between operations research, machine learning, and generative AI, and in how these fields together can inform decision-making in complex, dynamic systems.

I am in the 2025-2026 Job Market.
Email: jsha[at]mit.edu