The 2022 Summer Program in Biostatistics & Computational Biology concluded last week, after the annual “Pipelines into Biostatistics Symposium” was held virtually on Thursday, July 14th. Research project presentations were … Continue reading “Summer Program Concludes with a Successful Pipelines into Biostatistics Symposium”
Email for Zoom Information
Email for Zoom Information
The Dana-Farber Cancer Institute Department of Data Science announces its second annual Postdoc Recruitment Day on Wednesday, November 3rd from 1-3pm EST. If you are interested in learning more about postdoctoral … Continue reading “DFCI Postdoc Recruitment Day – 11/3”
Join us for the next round of Lightning Talks on: Friday, March 5th 4:00pm | Via Zoom With faculty speakers: Rafa Irizarry Xihong Lin Junwei Lu Rachel Nethery John Quackenbush … Continue reading “Next Round of Lightning Talks – 3/5”
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 … Continue reading “DFCI Data Science Zoominar: Vaccine Prioritization Strategies – 1/26”
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 … Continue reading “DFCI Postdoc Open House – 12/7”
Rather than a traditional seminar format, Rafael Irizarry will moderate a Q&A with invited speakers on various topics in data science. September 2, 2020 Data Visualización Literacy: Avoiding common mistakes … Continue reading “DFCI Zoominar for Data Science – 9/2”
We are pleased to announce a new weekly Zoominar for Data Science. Rather than a traditional seminar format, Rafael Irizarry will moderate a Q&A with invited speakers on various topics in data … Continue reading “DFCI Zoominars for Data Science Lineup”
Congratulations to Dr. Matthew Ploenzke who successfully defended his dissertation “Interpretable Machine Learning Methods with Applications in Genomics” on July 1st! Advisor: Dr. Rafael Irizarry Dissertation Committee Members: Dr. Giovanni Parmigiani, Dr. Danielle … Continue reading “Dr. Matthew Ploenzke’s Successful Dissertation!”
