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 […]
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 […]
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 […]
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 […]
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 […]
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, […]
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 […]
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 […]
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 […]
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 […]
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 […]
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), […]
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 […]
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 […]
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 […]
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 […]
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 […]
Wednesday June 15, 2022 10:00-12:00pm Eastern Time Nabihah Tayob, PhD Assistant Professor Department of Data Science, Dana-Farber Cancer Institute Harvard Medical School Zoom registration: https://bit.ly/TSJune22
BioC2022 will be held as a hybrid event in Seattle, WA on July 27-29, 2022. Virtual registration is now open. Tickets for in-person attendance are now on a waitlist. Click […]
Frontiers in Biostatistics Seminar Series Tuesday September 13, 2022 1:00PM Eastern Time Yijuan Hu, Ph.D. Associate Professor Department of Biostatistics and Bioinformatics Rollins School of Public Health Emory University Register […]
The Dana-Farber Cancer Institute Department of Data Science announces its third annual Postdoc Open House Day on Friday, October 14th, 12pm-7pm in person. If you are interested in learning more […]
Frontiers in Biostatistics Seminar Series Tuesday November 1, 2022 1:00PM Eastern Time Register for in-person or virtual attendance. Wendy London, PhD Associate Professor, Harvard Medical School Director of Biostatistics, Boston […]
Frontiers in Biostatistics Seminar Tuesday December 6, 2022 1:00PM Eastern Time Register for Zoom link. Jessie Tenenbaum, PhD she / her / hers Chief Data Officer NC Department of Health […]
Frontiers in Biostatistics Seminar Tuesday January 24, 2023 1:00PM Eastern Time Click to watch the YouTube video. Peter Mueller, PhD Professor Department of Statistics and Data Sciences Department of Mathematics […]
Frontiers in Biostatistics Seminar Tuesday February 14, 2023 1:00PM Eastern Time YouTube video Emily Zabor, DrPH Assistant Staff Biostatistician Department of Quantitative Health Sciences at the Cleveland Clinic, with a […]
Thursday March 2, 2023 1:00pm ET Hillary Heiling Biostatistics PhD candidate University of North Carolina Chapel Hill. Add to calendar Hillary’s statistical focus has primarily been in cancer-related research, both […]
Frontiers in Biostatistics Seminar Wednesday March 29, 2023 1:00PM Eastern Time Pixu Shi, PhD Assistant Professor of Biostatistics & Bioinformatics Division of Integrative Genomics Department of Biostatistics & Bioinformatics Duke […]
Zelen 2023 Program The 2023 Marvin Zelen Memorial Symposium featuring talks by: Andy Beck (Co-founder & CEO, Path AI) Emerging Methods in Machine Learning and Applications for Digital Pathology Jonathan […]
