His research interests lie in applied mathematics, which includes applications in machine learning and digital signal processing. His research thus far has focused on Bayesian optimization and its applications in cost-constrained system optimization for brain mapping. He is excited about both using machine learning to uncover the mysteries of the brain as well as taking inspiration from the human brain to improve machine learning.