About Me

I’m a Ph.D. student from the Department of Statistics at the University of California, Los Angeles. I research generative models and representation learning for language at the Center for Vision, Cognition, Learning, and Autonomy at UCLA under my advisor Dr. Ying Nian Wu. Here is my Github.

I earned a M.S. from the Department of Computer Science at UCLA, submitting my thesis “Deep Generative Classifier with Short Run Inference.” In this work, a deep generative classifier uses Short Run Markov Chain Monte Carlo inference, Langevin dynamics, and backpropagation through time to achieve similar classification accuracy to an analogous discriminative classifier, while having the advantages that it can generate data, learn unsupervised with additional unlabeled data, and exhibit robustness to adversarial attacks due to the stochasticity of the Langevin equation and the top-down architecture of the underlying generator network.

Before my M.S., I worked as a Full Stack Software Engineer in the San Francisco bay area for three years, most recently at NatureBox in Redwood City. Before this, I earned a Bachelor of Arts from the Department of Philosophy at UCLA, focusing on the philosophy of language and propositional and first-order logic.