Lalit Bansal hails from Punjab, India, and is pursuing a B.Sc. in Mathematics and Statistics with minors in Business Analytics and Business at the University of Idaho.
He is a Hill Undergraduate Research Fellow, developing Markov Chain Monte Carlo–based generative frameworks for synthetic data generation. In his summer research, he worked on PDE parameter estimation methods for complex dynamical systems. His interests include computational modeling, quantitative finance, and machine learning.
