Seminars

The Division of Biostatistics seminar series includes research-focused talks by visiting faculty from a wide range of institutions, and faculty from the University of Minnesota. All seminars are free and open to the public. Biostatistics students organize the Student Seminar Series, where students present and discuss their work in progress.

Date/Time/Location Name Affiliation Title
Wed, Sept 21, 2022
3:30 p.m.
Online via Zoom
Laura Hatfield Harvard Medical School “Model What You Can and Assume the Rest”: Selecting Models for Robustness in Quasi-Experimental Analysis
Wed, Sept 28, 2022
3:30 p.m.
HSEC, Room 2-138
Oscar Miranda-Dominguez University of Minnesota Selective Combination of Small Effects Lead To Generalizable Brain-Behavior Associations
Wed, Oct 5, 2022
3:30 p.m.
Online via Zoom
Xiang Zhou University of Michigan Statistical Methods for Spatial Transcriptomics
Wed, Oct 19, 2022
3:30 p.m.
HSEC, Room 2-138
Rajarshi Guhaniyogi Texas A&M University Bayesian Regressions with Tensors and Distributed Computation with Space-time Data
Wed, Oct 26, 2022
3:30 p.m.
HSEC, Room 2-138
Andrew Ying Google Proximal Causal Inference for Complex Longitudinal Studies
Wed, Nov 2, 2022
3:30 p.m.
HSEC, Room 2-138
Issa Dahabreh Harvard T.H. Chan School of Public Health Learning by Combining Data From Multiple Sources: Causal Assumptions, Study Design, Sampling, and Estimation
Wed, Nov 16, 2022
3:30 p.m.
HSEC, Room 2-138
Amanda Mejia Indiana University Precise Functional Brain Mapping With Targeted Bayesian Methods for fMRI Data
Fri, Jan 13, 2023
10:00 a.m.
Mayo 3-125
Bingkai Wang University of Pennsylvania Model-Robust and Efficient Covariate Adjustment for Cluster-Randomized Trials
Wed, Jan 18, 2023
3:30 p.m.
Mayo 3-125
Ana Maria Kenney University of California, Berkeley Leveraging Problem Structure to Improve Feature Recommendations in Biomedical Research
Fri, Jan 20, 2023
10:00 a.m.
Mayo 3-125
Lulu Shang University of Michigan Statistical Methods for Genetic and Genomic Studies
Wed, Jan 25, 2023
3:30 p.m.
Mayo 3-125
Ye Zheng Fred Hutchinson Cancer Center Statistical Modeling for Single-Cell Multi-Omics Integration: A Case Study in Car-T Cell Immunotherapy
Fri, Jan 27, 2023
10:00 a.m.
Mayo 3-100
Lukas Weber Johns Hopkins Bloomberg School of Public Health Unsupervised Statistical Methods and Data-Driven Analysis Workflows for Spatially-Resolved Transcriptomics
Wed, Feb 1, 2023
3:30 p.m.
Mayo 3-125
Yaotian Wang University of Pittsburgh High-Dimensional Directed Network Analysis of Human Brains
Fri, Feb 3, 2023
10:00 a.m.
Mayo 3-100
Erjia Cui Johns Hopkins University Functional Data Analysis Methods for Large Scale Physical Activity Studies
Mon, Feb 13, 2023
3:30 p.m.
Mayo 3-100
Zhongyuan Chen Purdue University Data-guided Statistical Methods for Treatment Recommendations, Cancer Association Studies, and Beyond
Wed, Feb 15, 2023
3:30 p.m.
Mayo 3-100
Andrew Chen University of Pennsylvania Mitigating Site Effects in Covariance for Machine Learning in Neuroimaging Data
Fri, Feb 17, 2023
10:00 a.m.
Mayo 3-100
Zoe Guan Memorial Sloan Kettering Cancer Center Predicting Cancer Risk from Genetic Information
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