by boxcar-admin | Jan 4, 2024
Dr. Li has contributed to a wide range of statistical areas, including survival analysis, data science, high-dimensional inference, machine learning, deep learning, spatial data analysis, random-effects models, clinical trial design, and infectious disease modeling....
by boxcar-admin | Oct 16, 2023
Yixin Wang works in the fields of Bayesian statistics, machine learning, and causal inference. Her research interests lie in the intersection of theory and applications. She completed her PhD in statistics at Columbia working with David Blei and her undergraduate in...
by boxcar-admin | Sep 26, 2023
My research interest focuses on on semiparametric/nonparametric inference, high-dimensional data analysis, machine learning and personalized medicine, with important contributions to clinical trials, observational studies, survival analysis, causal inference, and...
by boxcar-admin | Jul 18, 2023
Eileen Weinheimer-Haus is a Senior Project Manager in the Department of Learning Health Sciences. She has been a project manager with Akbar K. Waljee, MD, MSc for the past several years and is involved in the development and execution of programs and projects related...
by boxcar-admin | Feb 23, 2023
Maggie Makar is an Assistant Professor in Computer Science and Engineering. Her research focuses on developing robust and efficient machine learning and causal inference methods with applications to healthcare. Prior to joining the University of Michigan, she received...