734-647-1670

Applications:
Astronomy and Cosmology, Bioinformatics, Biological Sciences, Climate Research, Ecological Research, Electronic Medical Record Data, Genomics, Learning Health Systems, Medical Imaging, Mental Health, Physics, Precision Health, Sensors and Sensor Networks, Space Science
Methodologies:
Artificial Intelligence, Bayesian Methods, Causal Inference, Data Mining, Decision Science, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Optimization, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis

Jeffrey Regier

Assistant Professor

Statistics

Jeffrey Regier received a PhD in statistics from UC Berkeley (2016) and joined the University of Michigan as an assistant professor. His research interests include graphical models, Bayesian inference, high-performance computing, deep learning, astronomy, and genomics.