Data Science Zoominar: Data Science and Academic Leadership

Tuesday October 20, 2020 1:00PM ET Data Science and Academic Leadership A conversation with F. DuBois Bowman, PhD Dean of the University of Michigan School of Public Health Moderator: Rafael Irizarry Video available on our YouTube Channel.

Data Science Zoominar: Communicating Statistical Findings Effectively

Tuesday November 17, 2020 1:00PM ET Communicating Statistical Findings Effectively A conversation with Professor Sir David Spiegelhalter Chair, Winton Centre for Risk and Evidence Communication Centre for Mathematical Sciences Author: The Art of Statistics Moderator: Rafael Irizarry RSVP at https://bit.ly/DSNov17

Postdoctoral Open House

The Dana-Farber Cancer Institute Department of Data Science announces our first annual Postdoc Open House. Join us on Monday, December 7th at 1:00PM EST to explore postdoctoral opportunities in cancer research. Participating faculty include:  Rafael Irizarry, PhD, Professor and Department Chair X. Shirley Liu, PhD, Professor Giovanni Parmigiani, PhD, Professor Franziska Michor, PhD, Professor Lorenzo […]

DF/HCC Cancer Data Science Program &Harvard Chan Bioinformatics CoreJoint Symposium on scRNAseq Methodology

Monday, December 14, 3:00-4:30 PM ET RSVP https://bit.ly/CDSBioDec14 Speakers: Aedin Culhane, Senior Research Scientist, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health Isabella Grabski, PhD Student in Biostatistics, Harvard University Probabilistic gene barcodes identify cell-types in single-cell RNA-sequencing data Shannan Ho Sui, Senior Research Scientist, Harvard T.H. Chan School of Public Health […]

Data Science Zoominar: Data-Driven Policy in Puerto Rico

Tuesday December 15, 2020 1:00PM ET Data-Driven Policy in Puerto Rico A conversation with Arnaldo Cruz Director of Research and Policy of the Financial Oversight and Management Board of Puerto Rico Co-founder of ABRE Puerto Rico Moderator: Rafael Irizarry RSVP at https://bit.ly/DSDec15

Frontiers in Biostatistics: Statistical Modeling and Adjustment for Sampling Biases

Frontiers in Biostatistics Seminar January 12, 2021 1:00PM Jing Ning, PhD Associate Professor. Department of Biostatistics Division of Quantitative Sciences The University of Texas M.D. Anderson Cancer Center Register at: https://bit.ly/FIBJan12 Abstract: Bias sampling mechanisms are commonly encountered in applications where the subjects in a target population are not given an equal chance to be selected, […]

Data Science Zoominar: Vaccine Prioritization Strategies

Tuesday January 26, 2021 1:00PM ET A conversation with 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 Moderator: Rafael Irizarry RSVP at https://bit.ly/DSJan26 YouTube Link: https://www.youtube.com/watch?v=fJuHNNP8TLg

Frontiers in Biostatistics: Group Sequential Design Assuming Delayed Benefit

February 9, 2021 1:00PM ET Keaven Anderson, PhD Scientific AVP, Methodology Research, Biostatistics at Merck Group Sequential Design Assuming Delayed Benefit Abstract: We consider an asymptotic approach to design of group sequential trials with a potentially delayed effects. Logrank, weighted logrank tests and combination tests are of primary interest, but we also consider restricted mean […]

Data Science Zoominar: Diversity and Ethics in Genomics

Tuesday February 23, 2021 1:00PM Eastern Time A conversation with Keolu Fox, PhD Assistant Professor, Department of Anthropology, University of California, San Diego Moderator: Aedin Culhane YouTube Link: https://www.youtube.com/watch?v=VANlStOnFPY

Frontiers in Biostatistics: Distributed Statistical Learning and Inference in EHR and Other Healthcare Datasets

Frontiers in Biostatistics Seminar March 9, 2021 1:00PM Rui Duan, PhD Assistant Professor of Biostatistics Harvard TH Chan School of Public Health Distributed Statistical Learning and Inference in EHR and Other Healthcare Datasets Abstract: The growth of availability and variety of healthcare data sources has provided unique opportunities for data integration and evidence synthesis, which […]