I earned my PhD from the Department of Statistics at the University of Michigan, under the supervision of Prof. Jeff Regier. I also earned a dual-degree in Scientific Computing through a joint-degree program in MICDE. I primarily work in the intersection of deep learning and Bayesian statistics, applied to scientific problems.
Interests. Probabilistic Machine Learning, Applied Bayesian Statistics, Variational Inference