Angang Li is a data scientist and leader with 9 years of experience, currently directing Decision Sciences at Epsilon in Chicago where he has progressed through roles from Scientist to Director since 2019. He brings a Ph.D. in Environmental Engineering and Science from Northwestern and a strong computational research background, applying advanced machine learning, NLP, and distributed computing to marketing problems. Angang combines rigorous academic modeling—published across multiple journals and presented internationally—with pragmatic production skills in Spark, Python, PyTorch, SQL, and cloud deployment. He has led multi-institutional research projects and translated that collaborative, interdisciplinary mindset into building scalable analytics and decision systems for commercial marketing. Notably, his training in environmental dynamics informs a distinctive systems-oriented approach to modeling temporal and flow-based customer behaviors.
9 years of coding experience
8 years of employment as a software developer
M.S. and Ph.D. Environmental Engineering and Science, M.S. and Ph.D. Environmental Engineering and Science at Northwestern University
Kellogg School of Management
B.S. Environmental Sciences; B.A. Economics; Mathematics Minor, B.S. Environmental Sciences; B.A. Economics; Mathematics Minor at University of Virginia
Contributions:87 commits, 44 pushes, 1 branch in 4 months
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Angang Li - Director, Decision Sciences at Epsilon