• Immunotherapy Response Prediction in Melanoma

    Dana-Farber Cancer Institute 450 Brookline Ave, Boston, MA, United States

    2025 DF/HCC Cancer Data Sciences Program Lunch Workshop Tuesday June 3, 2025 1:00-4:00PM Yawkey Conference Center, Dana-Farber Cancer Institute RSVP, seating limited: https://bit.ly/dfhcc-cds25 Speakers: Alexander Gusev, PhD, Associate Professor, Harvard […]

  • Statistics for Computational Biology Projects

    HBC Current Topics in Bioinformatics June 18, 2025, 01:00-4:00 PM Register here. Erica Holdmore, PhD Computational Biologist, Knowledge Systems DFCI Department of Data Sciences Statistics is an important tool for […]

  • Preference Inference for Language Models Debiased by Fisher Random Walk Models

    Harvard TH Chan School of Public Health 677 Huntington Ave, Boston, MA

    HSPH Biostatistics & DFCI Data Science Colloquium Series September 11 at 4:00PM Harvard TH Chan School of Public Health, FXB-301 Junwei Lu, PhD Associate Professor of Biostatistics, Harvard TH Chan […]

  • Reproducible Research – Tools and a case study with NHANES

    Harvard TH Chan School of Public Health 677 Huntington Ave, Boston, MA

    HSPH Biostatistics & DFCI Data Science Colloquium Series September 18, 2025 4:00 PM HSPH FXB-301 Robert Gentleman, PhD Principal Research Scientist Harvard T.H. Chan School of Public Health and Dana-Farber […]

  • The Single Arm Changing to Randomized Design (SACRED)

    HSPH Biostatistics & DFCI Data Science Colloquium Seminar Series Harvard TH Chan School of Public Health, FXB 301 November 21st, 4:00-5:00pm Glen Laird, Head of Biostatistics, Methodology and Innovation, Vertex […]

  • Data Science Postdoctoral Fellows Program – Information Session

    The Department of Data Science at Dana-Farber Cancer Institute is thrilled to announce our third annual Data Science Postdoctoral Fellows Program. We invite recent Ph.D. graduates and doctoral candidates who are nearing graduation and have […]

  • Stay tuned for 2026 events!

    Please watch our Events page for the schedule of seminars and workshops starting in February 2026!

  • Spectral Methods for Spatial and Multi-omics data

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday February 26 at 4:00pm HSPH, FXB 301 Phillip Nicol, PhD Student, Harvard TH Chan School of Public Health https://hsph.harvard.edu/department/biostatistics/seminars-events/colloquium-seminar-series/

  • Integrating Pre-Trained Language Models into Topic Modeling

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday March 5 at 4:00pm HSPH, FXB 301 Tracy Ke, PhD, Associate Professor of Statistics, Harvard University https://hsph.harvard.edu/department/biostatistics/seminars-events/colloquium-seminar-series/

  • Inference of Tissue Architecture across Space, Time, and Modality

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday March 12 at 4:00pm HSPH, FXB 301 Benjamin Raphael, PhD, Professor of Computer Science at Princeton University https://hsph.harvard.edu/department/biostatistics/seminars-events/colloquium-seminar-series/

  • An Alternative Estimator to the Cox Hazard Ratio

    Data Science Seminar Friday, March 27, 1:00 PM ET Center for Life Sciences Building, 11th floor, room 11081 Also will be streamed on Zoom Stella Karuri, PhD Consulting Statistician Zoom […]

  • DoubleGen: Debiased Generative Modeling of Counterfactuals

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday April 2 at 4:00pm HSPH, FXB 301 Alex Luedtke, PhD, Professor of Health Care Policy, Harvard Medical School https://hsph.harvard.edu/department/biostatistics/seminars-events/colloquium-seminar-series/

  • Factor Analysis and Questions of Causation

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday April 9 at 4:00pm HSPH, FXB 301 Tyler VanderWeele, PhD, John L. Loeb And Frances Lehman Loeb, Professor of Epidemiology, Faculty Affiliate […]

  • When Large p Is a Blessing

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday April 9 at 4:00pm HSPH, FXB 301 Zhijin Wu, PhD, Professor of Biostatistics, Brown University Biomedical research has benefited tremendously from the […]