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 18, 2019 3:30 p.m. Moos 2-520 |
Kellie Archer | The Ohio State University | High-dimensional Variable Selection and Prediction of Ordinal Response Data |
| Wed, Sept 25, 2019 3:30 p.m. Moos 2-520 |
Emma Benn | Icahn School of Medicine at Mount Sinai | Diversity in Statistics: Building and Sustaining Effective Pipelines for Recruiting and Training the Next Generation of Innovators |
| Wed, Oct 2, 2019 3:30 p.m. Moos 2-520 |
Guanghua Xiao | University of Texas, Southwestern Medical Center | Machine Learning and Spatial Modelling for Cancer Pathology Images |
| Wed, Oct 16, 2019 3:30 p.m. Moos 2-520 |
Jesse Berman | University of Minnesota | Getting Hot Under the Collar: Does Air Pollution Exposure and Temperature Increase the Risk of Violent Behavior? |
| Wed, Oct 23, 2019 3:30 p.m. CCBR Ballroom |
Kelley Kidwell | University of Michigan | Design and Methodological Improvements for Rare Disease Research: Use of snSMART Design |
| Wed, Nov 6, 2019 3:30 p.m. Moos 2-520 |
Stephen Cole | University of North Carolina Gillings School of Global Public Health | How Do We Ask Better Questions and Get Better Answers? |
| Wed, Nov 20, 2019 3:30 p.m. Moos 2-520 |
Kris Gorman | University of Minnesota | Learning More by Teaching Less |
| Fri, Jan 10, 2020 10:00 a.m. Moos 2-520 |
Tianchen Qian | Harvard University | Estimating Time-varying Causal Excursion Effect in Mobile Health with Binary Outcomes |
| Thurs, Jan 16, 2020 10:00 a.m. Moos 2-520 |
Rui Duan | University of Pennsylvania | EHR + X: Expanding the Reach of EHR Data Through Data Integration |
| Wed, Jan 22, 2020 3:30 p.m. Moos 2-690 |
Allison Meisner | Johns Hopkins University | Risk Models with Polygenic Risk Scores |
| Fri, Jan 24, 2020 10:00 a.m. Mayo A110 |
Lan Luo | University of Michigan | Real-time Regression Analysis with Streaming Health Datasets |
| Tues, Jan 28, 2020 11:30 a.m. Moos 1-450 |
Jared Huling | The Ohio State University | Energy Balancing of Covariate Distributions for Estimation of Causal Effects |
| Thurs, Jan 30, 2020 11:30 a.m. Moos 1-450 |
Jessica Gronsbell | Verily Life Scienes | Leveraging Digital Data for Clinical Research |
| Mon, Feb 3, 2020 3:30 p.m. Moos 2-520 |
Anne Eaton | University of Minnesota | Non-parametric Estimation in an Illness-death Model with Component-wise Censoring |
| Wed, Feb 5, 2020 3:30 p.m. Moos 2-690 |
Jeffrey A. Boatman | University of Minnesota | One Out of Many: Combining Data Sources for Causal Inference |
| Fri, Feb 7, 2020 10:00 a.m. Moos 5-125 |
Matt Ploenzke | Harvard University | Redefining Pharmacogenomic Cell Sensitivity Using Multi-level Models |
| Mon, Feb 10, 2020 3:30 p.m. Moos 2-520 |
Jack Pattee | University of Minnesota | Integrating Germline and Somatic Genetics to Identify Genes Associated with Lung Cancer |
| Thurs, Feb 13, 2020 11:30 a.m. Mayo 3-125 |
Tianzhong Yang | University of Minnesota | On the Mediating Role of Gene Expression in Complex Traits |
| Mon, Feb 24, 2020 3:30 p.m. Moos 2-690 |
Joseph S. Koopmeiners | University of Minnesota | The Role of Statistical Methods Research in Tobacco Regulatory Science |
| Fri, Feb 28, 2020 10:00 a.m. Moos 2-690 |
Shili Lin | The Ohio State University | Investigating Relationships of Multiomics and their Roles in Complex Traits |
| Mon, Mar 2, 2020 3:30 p.m. Moos 2-690 |
Qi Long | University of Pennsylvania | Health Data Science in Action: The Power and Promise of Statistical and Machine Learning |
| Wed, Mar 4, 2020 3:30 p.m. Moos 2-690 |
Brian Reich | North Carolina State University | Advances in Spatial Causal Inference |
| Mon, Mar 16, 2020 3:30 p.m. Online Only |
George Michailidis | University of Florida | Graphical Modeling based Integrative Analysis of Metabolomics Data |
