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 | 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 |
