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Current Seminars

 

2021-2022 Seminar Series

Date Title Speaker Note
5/9/22 Reliable evidence from the health data sciences: lessons from the Large-scale Evidence Generation and Evaluation across a Network of Databases for Hypertension (LEGEND-HTN) study Marc Suchard, University of California Los Angeles W2008 & online
5/2/22 Model misspecification in microbiome studies Amy Willis, University of Washington, Dept. of Biostatistics W2008 & online
4/18/22 Statistical Methods for Spatial Transcriptomics Xiang Zhou, University of Michigan, School of Public Health W2008 & online
4/11/22 Robustly quantifying cellular heterogeneity using single cell sequencing technologies Catalina Vallejose, University of Edinburgh W2008 & online
4/4/22 A brute-force approach to causal inference: large-scale propensity scores and large-scale negative controls Martijn Shuemie, Observational Health Data Sciences & Informatics W2008 & virtual  (up to 35 can attend in person)
2/28/22 Spatial Confounding and Restricted Spatial Regression Methods Kate Calder, University of Texas at Austin, Department of Statistics & Data Sciences W2008 & virtual  (up to 35 can attend in person)
1/24/22 Machine learning for equitable healthcare Irene Chen, MIT, Department of Electrical Engineering & Computer Science virtual
1/19/22 Data Science & Policy: Addressing Inequity in Health  Elizabeth Chin, Stanford University, PhD Candidate in Biomedical Data Science virtual
12/15/21 Machine learning for genetics and health: multi-modality, interpretability, mechanism Bianca Dumitrascu, Cambridge University virtual
12/6/21 Partial Separability and Functional Graphical Models Alex Petersen, Brigham Young University W2008 & virtual  (up to 35 can attend in person)
11/29/21 MHS Showcase Yuehan (Jenny) Zhang & Forrest Jones W2008 & virtual  (up to 35 can attend in person)
11/22/21 Specifying Priors in a Bayesian Workflow Paul Bürkner virtual (from Germany, 9am-1:15pm EST)
11/15/21 Protecting Your Privacy in a Data-Driven World  Claire Bowen, Urban Institute W2008 & virtual  (up to 35 can attend in person)
11/8/21 Joint Modelling of Multivariate Markers Measured Repeatedly Over Time and Clinical Endpoints Cécile Proust-Lima, Inserm, University Bordeaux, France virtual (from France, 9am -1:15pm EST)
11/1/21 The Good, The Bad, The Ugly:  The Importance of Large Scale Characterization Studies in Real World Epidemiology Kristin Kostka, Roux Institute at Northeastern University

W2008 & virtual  (up to 35 can attend in person)

10/25/21 On Multiply Robust Mendelian Randomization (MR2) with many Invalid Genetic Instruments.   Eric Tchetgen Tchetgen, Wharton University of Pennsylvania W2008 & virtual  (up to 35 can attend in person)
10/18/21 The HulC: Hull based Confidence Regions Arun Kumar Kuchibhotla, Carnegie Mellon University virtual
10/11/21 Model driven design and analysis of quantitative phenotype screens Harold Pimentel, UCLA virtual
10/4/21 Improving the Power of Education Experiments with Auxiliary Data Johann Gagnon-Bartsch, University of Michigan, Ann Arbor, Statistics virtual
9/27/21 Saving Lives in Harm City: The Bloomberg School’s community partnerships to improve the health of Baltimore in the 1980s and 1990s Karen Thomas, JHU School of Public Health virtual
9/20/21 The Science of Stakeholder Engagement in Research: Development and Validation of Metrics Melody Goodman, NYU School of Global Public Health, Department of Biostatistics virtual