I am an undergraduate student at Princeton University, majoring in mathematics with a minor in computer science. I am strongly interested in the intersection between mathematics and theoretical computer science, especially concerning probabilistic machine-learning algorithms. Prior to my undergraduate studies, I worked as a research assistant at Axle Informatics under Dr. Nicholas Schaub.

My research in Vincent’s lab focuses on the advancement of Bayesian Deep Learning models to supplement traditional applications of neural networks. I aim to improve the applicability of Bayesian machine learning by exploring the intricacies of how approximate inference methods in a Bayesian probabilistic framework interact with state-of-the-art learning models.