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 […]
Tuesday December 8, 2020 1:00PM ET Data Science Books, Online Courses, Podcasts, and Blogs A conversation with Roger Peng, PhD Johns Hopkins Bloomberg School of Public Health Moderator: Rafael Irizarry RSVP at https://bit.ly/DSDec8
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 […]
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
Monday December 21, 2020 2:00PM ET Understanding COVID-19 Vaccine Trial Designs and Current Results A conversation with David Benkeser Assistant Professor, Biostatistics and Bioinformatics Rollins School of Public Health, Emory University Moderator: Rafael Irizarry RSVP at https://bit.ly/DSDec21
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, […]
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
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 […]
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 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 […]
Tuesday March 23, 2021 1:00PM Eastern Time A conversation with 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 Moderator: Rafael Irizarry YouTube Link: https://www.youtube.com/watch?v=Q4uBibxGf20
Frontiers in Biostatistics Seminar May 11, 2021 1:00PM Jianhua Hu, PhD Professor, Biostatistics (in Medicine and in the Herbert Irving Comprehensive Cancer Center) Director, Cancer Biostatistics Program Columbia University Register at: http://bit.ly/FIBMay21 Abstract: Applications of single-cell RNA sequencing in various biomedical research areas have been blooming. This new technology provides unprecedented opportunities to study disease […]
May 19, 2021 10:00am-12:00PM Eastern Time Fangxin Hong, PhD Senior Research Scientist Department of Data Science, Dana-Farber Cancer Institute Department of Biostatistics, Harvard T.H. Chan School of Public Health
Tuesday May 25, 2021 1:00PM ET A conversation with Cristian Tomasetti Associate Professor, Department of Oncology, Johns Hopkins Medicine, Sidney Kimmel Comprehensive Cancer Center Moderator: Giovanni Parmigiani YouTube Video now available.
June 8, 2021 1:00PM Lorenzo Trippa, PhD Associate Professor Department of Biostatistics, Harvard T.H. Chan School of Public Health Department of Data Science, Dana-Farber Cancer Institute The Use of External Control Data for Predictions and Interim Analyses in Clinical Trials YouTube video now available.
June 16, 23, and 30, 2021 10:00am-12:00PM Eastern Time Haesook Kim, PhD Principal Research Scientist Department of Data Science, Dana-Farber Cancer Institute Department of Biostatistics, Harvard T.H. Chan School of Public Health RSVP: https://bit.ly/DSTSJune16
Tuesday September 14, 2021 1:00PM Eastern Time Holly Janes, Ph.D. Professor, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center Professor, Public Health Sciences Division, Fred Hutchinson Cancer Research Center YouTube video now available.
Tuesday, October 19, 2021 1:00pm Eastern Time Meredith Regan, ScD Associate Professor Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School Treatment-free Survival as a Novel Outcome Measure of Immuno-oncology-based Therapy YouTube Link
Thursday, October 28, 2021 11:00am Eastern Time Tengfei Li Georgetown University Causal Inference Methods for Measures of Health Disparities There is increased interest in the evaluation of health disparities between different socioeconomic groups using data from observational studies. However, in the absence of randomization, the results and conclusions may be limited to associations rather than […]
