Mingming Cai

Applied Scientist

Mingming Cai is a Ph.D. candidate in Transportation Economics and Planning at the University of Washington, concurrently pursuing an M.S. in Statistics. They have applied machine learning and deep learning methods in demand forecasting, statistical modeling, and spatio-temporal network analysis. With over five years of proficiency in Python and R, along with experience in software design and distributed computing, Mingming is passionate about responsible AI practices. Their collaborative nature has led to significant contributions in interdisciplinary projects, including roles as a Research Assistant and Applied Scientist, with a focus on human-centered AI products.

Location

Seattle, United States

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