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  • 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 School of Public Health Human preference alignment has been shown to be effective in training the large language models (LMs). It allows the LLM to […]

  • 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 Cancer Institute I will discuss how new technologies and statistical methodologies can help enhance our ability to perform reproducible research. I will demonstrate how these […]

  • Call for Abstracts: DF/HCC Early Career Investigators Symposium

    2025 Dana-Farber/Harvard Cancer Center Celebration of Early Career Investigators November 4, 2025 from 1:00-5:30PM In-Person at Dana Farber Cancer Institute Yawkey Conference Center Do you work in population science, including epidemiology, biostatistics, outcomes, diversity, cancer care delivery research, and early detection? We invite students, postdocs, residents, and clinical fellows to submit abstracts for consideration as […]

  • Navigate the Crossroad of Statistics, Generative AI and Genomic Health

    HSPH Biostatistics & DFCI Data Science Colloquium Series Thursday October 2, 2025 4:00pm ET HSPH FXB-301 Xihong Lin, PhD, Department of Biostatistics and Department of Statistics, Harvard University Integrating statistics with generative Al provides unprecedent opportunities to empower statistical science and accelerate trustworthy scientific discovery by leveraging the potential of generative Al models alongside rigorous […]

  • Flexible Adaptive Procedures for Testing Multiple Treatments, Endpoints or Populations in Confirmatory Clinical Trials

    HSPH Biostatistics & DFCI Data Science Colloquium Series Thursday October 9, 2025 4:00pm ET HSPH FXB-301 Cyrus Mehta, President and Co-Founder of Cytel, Inc, Adjunct Professor, Department of Biostatistics, Harvard TH Chan School of Public Health The statistical methodology for the classical two-arm group sequential design has advanced vastly over the past three decades to […]

  • 2025 Dana-Farber/Harvard Cancer Center Celebration of Early Career Investigators

    November 4, 2025 from 1:00-5:30PM In-Person at Dana Farber Cancer Institute Yawkey Conference Center Early career investigators are a unique reservoir of new ideas, innovation, and excellence in cancer research. To celebrate this, we welcome you to join the 13th Annual DF/HCC Celebration of Early Career Investigators in Cancer Research. This symposium will showcase the […]

  • Statistical Challenges in Long COVID Research: Examples from the RECOVER Cohort Studies

    HSPH Biostatistics & DFCI Data Science Colloquium Seminar Series November 6, 2025 at 4:00pm HSPH FXB-301 Andrea Foulkes, ScD, Director, Biostatistics, Professor of Medicine, Harvard Medical School Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health A considerable proportion of individuals with a history of SARS-COV-2 infection experience persistent and often debilitating symptoms, […]

  • 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 Pharmaceuticals

  • 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 a passion for applied statistics, machine learning, or computational biology to consider this exciting opportunity. This is an incredible opportunity to advance your career in […]

  • Stay tuned for 2026 events!

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