I’m a data scientist interested in building an intelligent system to model large-scale, unstructured and noisy datasets.
I am a master student in the Department of Electrical Engineering and Computer Science at University of California, Berkeley. I recently finished my undergraduate studies at Berkeley in Computer Science, Operations Research and Management Science, and Statistics. I am passionate about interactive data science, optimization and machine learning theory. I am equally interested in exploring learning algorithms with strong mathematical and statistical foundations, and in developing practical solutions and toolkits to tackle real-world data science challenges.
My current research projects are advised by professor John Canny on interactive visualization and deep learning. During my undergraduate study, I have been working with Sören Künzel to develop new algorithms on heterogenous treatment effect estimation using random forest. In my freshman and sophomore year, I also worked in an interdisciplinary lab called Oskilab to apply data science and machine learning to social science.
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, swimming, tennis and a lot more exciting stuff!