2020-2021 Noon Seminar Series | Johns Hopkins | Bloomberg School of Public Health

2020-2021 Monday Seminar Series

All seminars are held at 12:15 PM via Zoom

DATE	TITLE	SPEAKER
09/14/2020	Registration for wearable device data with application to circadian rhythm chronotype discovery	Julia Wrobel, University of Colorado at Denver, Dept. of Biostatistics & Informatics
10/05/2020	Image Analysis Tools for Quantitative Susceptibility Maps in Multiple Sclerosis Lesions	Elizabeth Sweeney, Weill Cornell Medicine, Biostatistics Division
10/12/2020	Latent Class Modeling Approaches for Analyzing Chemical Mixtures in Epidemiological Studies	Paul Albert, National Cancer Institute, Division of Cancer Epidemiology & Genetics Biostatistics Branch
10/19/2020	Statistical Challenges in the era of Large Multi-site Imaging Consortia	Haochang Shou, University of Pennsylvania, Dept. of Biostatistics, Epidemiology, & Informatics
10/26/2020	Statistical Inference on Shape and Size-Indexes for Counting Processes	Yifei Sun, Columbia University, Department of Biostatistics
11/02/2020	Four lighting talks by our MHS students	Natalya Kostdandova, Yuehan (Jenny) Zhang, Forrest Jones, and Kyra Grantz
11/09/2020	No Seminar
11/16/2020	A Bayesian Approach to Restricted Latent Class Models for Scientifically-Structured Clustering of Multivariate Binary Outcomes	Zhenke Wu, University of Michigan, Department of Biostatistics
11/23/2020	No Seminar - Thanksgiving Break
11/30/2020	Multiple Speakers	Arkajyoti Saha, Bingkai Wang, Siruo Wang
12/07/2020	Expanding the Bayesian Structural Equation, Multilevel and Mixture Models to Logit, Negative-Binomial and Nominal Variables	Tihomir Asparouhov, MPlus
12/14/2020	The Challenge of Cellwise Outliers	Peter Rousseeuw, KU Leuven, Belgium
01/25/2021	Bayesian Wavelet-packet Historical Functional Linear Models	Mark Meyer, Georgetown University, Department of Biostatistics
02/01/2021	Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity	Walter Dempsey, University of Michigan, Department of Biostatistics
02/08/2021	Possible Hazards of Proportional Hazards Models	Sujit Ghosh, North Carolina State University, Department of Statistics
02/15/2021	Statistical Frameworks for Mapping 3D Shape Variation onto Genotypic and Phenotypic Variation	Lorin Crawford, Brown University, Department of Biostatistics
02/22/2021	Diversity and Diet: statistical methods to derive exposure patterns in the United States	Briana Stephenson, Harvard University, Department of Biostatistics
03/01/2021	Addressing Problems in Global Health with Non-traditional Data and Machine Learning	Elaine Nsoesie, Boston University, Department of Global Health at Boston University
03/08/2021	Straightforward Smoothing Parameter estimation in Non-linear Models and Inferring Incidence and R in the UK Covid-19 Epidemic	Simon Wood, University of Endiburgh, School of Mathematics,
03/15/2021	No Seminar - ENAR Conference
03/22/2021	No Seminar - Spring Break
03/29/2021	Differentiating through Optimal Transport	Marco Cuturi, Google Brain, Paris
04/05/2021	No Seminar
04/12/2021	Three of our jointly appointed faculty highlight their recent work	Debashree Ray, Epidemiology, Sarah Wheelan, SoM, and Frank Curriero, Epidemiology
04/19/2021	Informing Screening Policy for Colorectal Cancer Using Microsimulation Modeling	Ann Zauber, Memorial Sloan Kettering Cancer Center
04/26/2021	Marginal and multivariate rank-based tests of independence	Dr. Fang Han, University of Washington, Department of Statistics
05/03/2021	The Emergence and Future of Public Health Data Science	Dr. Jeff Goldsmith, Columbia University, Department of Biostatistics
05/10/2021	Modeling Cancer Etiology and Evolution	Dr. Cristian Tomasetti, Johns Hopkins University, Division of Biostatistics and Bioinformatics, Department of Oncology