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 […]
Loading view.
Data Science Zoominar: Data Science Books, Online Courses, Podcasts, and Blogs
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 […]
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 […]
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 […]
Data Science Zoominar: Understanding COVID-19 Vaccine Trial Designs and Current Results
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 […]
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 […]
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 […]
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 […]
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 […]
Data Science Zoominar: The Importance of Representative Samples in Clinical Trials
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 […]
Frontiers in Biostatistics: Single-Cell RNA-Seq Data Analysis Via a Regularized Zero-Inflated Mixture Model Framework
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 […]
Training Session: Efficient Phase I Clinical Trial Design
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 […]
Data Science Zoominar: Modeling Cancer Etiology and Evolution, and its Implications for Prevention
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 […]
Frontiers in Biostatistics: The Use of External Control Data for Predictions and Interim Analyses in Clinical Trials
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 […]
Training Session: Survival Analysis and Competing Risks Data Analysis
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 […]
Frontiers in Biostatistics: COVID Vaccine Efficacy Trial Designs, Open Questions and Statistical Challenges
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 […]
Frontiers in Biostatistics: Treatment-free Survival as a Novel Outcome Measure of Immuno-oncology-based Therapy
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 […]
Data Science Seminar: Causal Inference Methods for Measures of Health Disparities
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 […]
Postdoc Recruitment Day
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 […]
Frontiers in Biostatistics: A Bayesian Phase I/II Trial Design for Immunotherapy
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 […]
Frontiers in Biostatistics: Cancer on the Way to Mars
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 […]
Frontiers in Biostatistics: Studies on COVID-19 and Cancer using National Real-World VA Data
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 […]
2022 DF/HCC Celebration of Early Career Investigators in Cancer Research
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, […]
Data Science Seminar: Deciphering Tissue Microenvironment from Next Generation Sequencing Data
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 […]
Frontiers in Biostatistics: Early Phase Design Considerations for Oncology Drug Development in the Era of Immunotherapy and Targeted Agents
Tuesday, February 8, 2022 1:00pm Eastern Time YouTube Video Elizabeth Garrett-Mayer, PhD, FSCT Vice President Center for Research and Analytics (CENTRA) Dr. Garrett-Mayer joined ASCO in 2017 as CENTRA’s Division […]
Data Science Seminar: End-to-end AI for Screening Mammography
Tuesday February 15, 2022 1:00PM Eastern Time William Lotter, PhD Vice President of Machine Learning, RadNet, Inc. Chief Technology Officer & Co-Founder, DeepHealth, Inc. Register. Screening mammography has been estimated […]
Data Science Seminar: Spatial meshing for general Bayesian multivariate models
Thursday February 24, 2022 1:00PM Eastern Time Michele Peruzzi, PhD Postdoctoral Associate, Department of Statistical Science, Duke University Register. Abstract: In this talk, I will consider the problem of fitting […]
Data Science Seminar: From descriptive to predictive biology via single-cell multiomics
Monday February 28, 2022 1:00PM Eastern Time Genevieve Stein-O'Brien Instructor, Johns Hopkins University, School of Medicine Department of Oncology, Division of Biostatistics and Bioinformatics; Department of Neuroscience; and McKusick-Nathans Department […]
Frontiers in Biostatistics: Considerations for Extracting Real-World Evidence from Real-World Data
Tuesday, March 1, 2022 1:00pm Eastern Time Rebecca A. Hubbard, PhD Professor of Biostatistics University of Pennsylvania Perlman School of Medicine YouTube Video Abstract: Opportunities to use real-world data (RWD), […]
Data Science Seminar: Radiomics for Feature Extraction from Radiological Images
Friday, March 4, 2022 12:00PM Eastern Time Ani Eloyan, PhD Assistant Professor Department of Biostatistics, Brown University Register. Abstract: Cancer patients routinely undergo radiological evaluations where images of various modalities […]
Data Science Seminar: Engineering Protease Activity Sensors For Personalized Detection and Profiling of Cancer
Monday March 7th, 2022 1:00PM Eastern Time Ava Soleimany, PhD Senior Researcher, Biomedical Machine Learning Group at Microsoft Research, New England Abstract: Precision cancer medicine envisions a world where diagnostic […]
2022 Marvin Zelen Symposum: Data Visualization
The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many industries, academia, and government. News organizations are increasingly embracing data journalism […]
Frontiers in Biostatistics: Tree-based Ensembling Strategies for Handling Heterogeneous Data
Maya Ramchandran Data Scientist, ZephyrAI Abstract: Adapting machine learning algorithms to better handle clustering or other partition structure within training data sets is important across a wide variety of biological […]
Data Science Seminar: Identification of Novel Oncogenic and Neurodevelopmental Programs Using Bulk and Single-cell Sequencing Approaches
Jeremy M. Simon, Ph.D. (he/him/his) Associate Professor, Department of Genetics Co-Principal, Bioinformatics and Analytics Research Collaborative (BARC) Director, UNC Neuroscience Center Bioinformatics Core Carolina Institute for Developmental Disabilities University of […]
