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.
Email me if you have any questions or want to have a chat!