Hi! My name is Allen.

I am a master student in the Department of Electrical Engineering and Computer Science at University of California, Berkeley. Before this, I finished my undergraduate degrees at Berkeley in Computer Science, Operations Research and Management Science, and Statistics. I am interested in machine learning and optimization, particularly in the interpretability and scalability of models. I am equally interested in exploring learning algorithms with strong mathematical and statistical foundations, and in developing practical solutions and toolkits to solve real-world data science challenges.

My current research projects are advised by professor John Canny on deep reinforcement learning. During my undergraduate study, I have been working with Sören Künzel to develop new algorithms on heterogenous treatment effect estimators using random forests. In my freshman and sophomore years, I also worked in an interdisciplinary lab called Oskilab to apply data science and machine learning to social science.

Along with my teammate Sören Künzel, Eric Munsing and Jake Soloff, I won 2017 The DataOpen Championship organized by Citadel and Correlation One. The event was featured by Bloomberg and Berkeley News.

In my free time, I was involved in Capital Investment at Berkeley, Machine Learning at Berkeley, and Alpha Kappa Psi. I like poker, magic tricks, backpacking, hiking, swimming or skiing.