Since Fall 2016, I've moved to the Computer Science Department at Boston University. Please move to my new webpage.
My academic interests broadly include machine learning, computer vision, artificial intelligence, and data science. Before BU, I was a ME student in Computational Science and Engineering program at Harvard. My research focus was on developing deep learning methods applied to clinical science under the supervision of Professor Finale Doshi-Velez and Dr. Pavlos Protopapas.
Since 2013, I've been fortunate to work with Dr. Mohammed AlQuraishi and Professor Peter Soger at the Sorger Lab and the Laboratory of Systems Pharmacology at Harvard Medical School. Our research work is mainly focused on developing a new computational method for predicting protein-DNA interactions by implementing a whole machine learning pipeline for prediction protein-DNA interactions. Before coming to Harvard, I received my M.S. degree in Computer Engineering at Brown University. During my undergraduate at Beijing Institute of Technology, I studied in Information and Electrical Engineering.
- 2016 Spring: This semester, I am the TF of course AM207 Stochastic Methods for Data Analysis, Inference and Optimization. This course introduces important principles of Monte Carlo techniques and demonstrates the power of these techniques with simple (but very useful) applications. It is a great course and you will love it. Looking forward to working with you all!
- Good News! Our recent paper "Cost-Sensitive Batch Mode Active learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice." has just been accepted by In Proceedings of SIAM Data Mining Conference (SDM) 2016.