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 […]
The Dana-Farber Cancer Institute Department of Data Science announces its second annual Postdoc Recruitment Day to be held on Wednesday, November 3rd from 1-3pm EST. If you are interested in learning more about postdoctoral opportunities at Dana-Farber Cancer Institute and would like to learn about the research our faculty are conducting, please sign up for […]
Tuesday, November 9, 2021 1:00pm Eastern Time Suyu Liu, PhD Associate Professor Department of Biostatistics The University of Texas MD Anderson Cancer Center A Bayesian Phase I/II Trial Design for Immunotherapy Immunotherapy is an innovative treatment approach that stimulates a patient's immune system to fight cancer. It demonstrates characteristics distinct from conventional chemotherapy and stands […]
Tuesday, December 7, 2021 1:00pm Eastern Time Giovanni Parmigiani, PhD Professor Harvard T.H. Chan School of Public Health Link to YouTube Video Cancer on the Way to Mars Links: https://www.nap.edu/download/26155 https://www.env.go.jp/en/chemi/rhm/basic-info/index.html https://www.nasa.gov/feature/goddard/real-martians-how-to-protect-astronauts-from-space-radiation-on-mars https://www.nasa.gov/sites/default/files/atoms/files/space_radiation_ebook.pdf https://standards.nasa.gov/standard/nasa/nasa-std-3001-vol-1 https://spaceradiation.larc.nasa.gov/nasapapers/2020/5008710.pdf
Nathanael Fillmore is the Associate Director for Machine Learning and Advanced Analytics at the VA Boston Healthcare System’s Cooperative Studies Program Informatics Center. He leads a data science team focused on using machine learning and data science methods, in combination with the VA’s large clinical, genomic, and imaging databases, to generate knowledge and resources that […]
January 19 | 2022 | 1-4PM Eastern Time This annual symposium showcases the talent of early career investigators at the Dana-Farber/Harvard Cancer Center who work in population science, including epidemiology, biostatistics, outcomes, diversity, and cancer care delivery research, and early detection. This year, Ann Partridge, MD, MPH will be our keynote speaker. Dr. Partridge is […]
Friday February 4, 2022 1:00PM Eastern Time Register. Jian Hu PhD Candidate, Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania ABSTRACT: The advent of high-throughput next-generation sequencing (NGS) technologies has transformed our understanding of cell biology and human disease. As NGS has been adopted earliest by the scientific community, its use has now become […]
