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Prospective students
I am looking for highly motivated PhD students to join my lab! If you want to work with me, send me an email (hchen23@wm.edu) with the title [Prospective Students], and attach to the email your 1) CV, 2) transcript, 3) representative publications (optional), and 4) a short intro of your research interest and plan, and why do you want to work with me.
5 fully funded PhD positions are available for Fall 2023 in the Data Science unit at William & Mary. You will work with me and/or my colleagues of Data Science. More about the program and where to apply is on our website: https://www.wm.edu/as/data-scien ... -science/index.php.
Biography
Haipeng Chen is an assistant professor of data science at William & Mary. Previously, he did postdocs at Harvard University and Dartmouth College. He obtained his Ph.D. from Nanyang Technological University (NTU) and the B.S. in Physics from University of Science and Technology of China (USTC). His primary research interest lies in AI for social good. For AI techniques, he focuses on reinforcement learning, combinatorial optimization, and prediction. For social domains, he is interested in public health, environmental sustainability, cybersecurity, and problems with a network structure. His research has been recognized with the best paper nomination at AAMAS-2021, Innovation Demonstration Award runner-up at IJCAI-2019, Champion of the 2017 Microsoft Malmo Collaborative AI Challenge, and finalist of the Reinforcement Learning Competition track at KDD-2019. He has published in premier AI/data science conferences such as AAAI, IJCAI, NeurIPS, AAMAS, UAI, KDD, ICDM, and journals (e.g., IEEE/ACM Transactions, Transportation Research). He served as co-chair for workshops on the theme of AI and social impact, including the ICLR-2021 workshop on Synthetic Data Generation: Quality, Privacy, Bias, IJCAI-2021 workshop on AI for Social Good, and Harvard CRCS workshop on Using AI for Social Good. He regularly serves as a reviewer for premier AI conferences such as AAAI, IJCAI, AAMAS, NeurIPS, ICLR, and ICML. As part of his research agenda, he has collaborated with non-profits such as The Nature Conservancy, The Family Van, Mobile Health Map, Safe Place for Youth, and Wadhwani AI. His work has been covered by media such as The Wall Street Journal, Scientific American, Digital Guardian, ScienceBlog, AAAS, 雷锋网, and 凤凰网.
About William & Mary
• Founded in 1693, William & Mary is the second oldest university in the US.
• It is located in Williamsburg, Virginia -- a very beautiful coastal, tourist town, close to Washington DC and Virginia Beach.
• According to U.S. News ranking 2023, William & Mary ranks 41.
Expectations
1) Required: Background in CS, engineering, statistics, mathematics, physics, etc.
2) Preferred: strong math background; good programming skills; strong motivation; good communication skills |