Probability, Statistics, and Data Science
Probability, Statistics, and Data Science is a broad field in developing novel probabilistic models, designing statistical methodologies, and applying cutting-edge data science techniques to solve real-world problems. The research group in MSCS has particular interests in Probability Theory and Stochastic Analysis, Functional Data Analysis, Non- and Semi-Parametric Methods, Bioinformatics, High Dimensional Statistical Inference, Optimal Designs, Machine Learning, and Big Data Analysis.
Faculty Heading link
Kyunghee Han
Assistant Professor
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Dibyen Majumdar
Professor
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Cheng Ouyang
Professor
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Jennifer Pajda-De La O
Clinical Associate Professor
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Jing Wang
Professor
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Yichao Wu
Professor
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Jie Yang
Professor
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Min Yang
Professor
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Ping-Shou Zhong
Professor
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Upcoming Seminars Heading link
Jan
15
2025
Statistics and Data Science Seminar: TBA, by Kentaro Takeda
Wednesday, 4:00 pm–4:50 pm
Zoom
Apr
2
2025
Statistics and Data Science Seminar: TBA, by Ryan Lekivetz
Wednesday, 4:00 pm–4:50 pm
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