Data Science Zoominars

Address to event

Zoom
Zoom

We are pleased to announce a new weekly Zoominar for Data Science. Rather than a traditional seminar format, Rafael Irizarry will moderate a Q&A with invited speakers on various topics in data science. Join us for these interactive conversations Tuesdays at 1:00pm EST. Registration is quick and easy. 

UPCOMING TALK(S):

February 23, 2021 – P. Keolu Fox, Assistant Professor, Department of Anthropology at University of California, San Diego, "Diversity and Ethics in Genomics" [download flyer]
Zoom Link: https://bit.ly/DSFeb23

March 23, 2021 – Timothy Rebbeck, Vincent L. Gregory, Jr. Professor of Cancer Prevention, Epidemiology, Harvard T.H. Chan School Of Public Health; Professor, Medical Oncology, Dana-Farber Cancer Institute, "The Importance of Representative Samples in Clinical Trials" 
Zoom Link: https://bit.ly/DSMar23

PAST Talk(s):

January 26, 2021 – Daniel Larremore, Assistant Professor, Department of Computer Science at University of Colorado-Boulder and BioFrontiers Institute; and Kate Bubar, Student, Department of Applied Mathematics, University of Colorado-Boulder, "Vaccine Prioritization Strategies" [download flyer]

December 21, 2020 - David Benkeser, Assistant Professor, Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, "Undersating COVID-19 Vaccine Trial Designs and Current Results" [download flyer]

December 15, 2020 - Arnaldo Cruz, Director of Research and Policy of the Financial Oversight and Management Board of Puerto Rico; Co-founder of ABRE Puerto Rico, "Data-Driven Policy in Puerto Rico" [download flyer]

December 8, 2020 - Roger Peng, Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health, "Data Science Books, Online, Courses, Podcasts, and Blogs" [download flyer]

November 17, 2020 - Professor Sir David Spiegelhalter, Chair, Winton Centre for Risk and Evidence Communication Centre for Mathematical Sciences, "Communicating Statistical Findings Effectively" [download flyer]

November 10, 2020 – Andrew Gelman, Professor of Statistics and Political Science (Columbia University), "Election Forecasting: How We Succeeded Brilliantly, Failed Miserably, or Landed Somewhere in Between" [download flyer]