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  • Forecasting pancreatic carcinogenesis from spatial multi-omics

    Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United States

    Frontiers in Biostatistics Seminar Tuesday September 26, 2023 @ 10am ET Center for Life Sciences Building, Room 11081 Elana Fertig, PhD Division Director of Oncology Quantitative Sciences, Professor of Oncology Johns Hopkins University YouTube Video Combining genomics with mathematical modeling provides a forecast system that can yield computational predictions to anticipate cancer progression and therapeutic […]

  • AI in Medical Imaging: Current State & Future Opportunities

    Center of Life Sciences, Room 11081 3 Blackfan Circle, Boston, MA, United States

    Frontiers in Biostatistics Seminar Tuesday October 24, 2023 @ 1pm ET Center for Life Sciences Building, Room 11081 William Lotter, PhD Assistant Professor, Dana-Farber Cancer Institute and Harvard Medical School YouTube Video Want to get our weekly events newsletter? Click here!

  • Single-cell Multiomic Exploration of Oncogenic and Immunologic Programs in Melanoma and CLL

    Center for Life Sciences, Zelen Commons 3 Blackfan Circle, Boston, MA

    Elevate @ Eleven: Comp Bio Connections Wednesday November 8th, 2023 12:00-1:00PM In-person only, Zelen Commons, 11th floor of the Center for Life Sciences Building Jeremy Simon Senior Research Scientist, Harvard T.H. Chan School of Public Health Lunch is provided.  

  • Analyzing Big EHR Data – Optimal Cox Regression Subsampling Procedure with Rare Events

    Frontiers in Biostatistics Seminar Tuesday December 5, 2023 @ 1pm ET YouTube Link Malka Gorfine, PhD Professor, Department of Statistics,  Tel Aviv University, Israel Abstract: Massive sized survival datasets become increasingly prevalent with the development of the healthcare industry, and pose computational challenges unprecedented in traditional survival analysis use cases. In this work we analyze […]

  • The Splicing Factor CCAR1 Regulates the Fanconi Anemia/BRA Pathway

    Center for Life Sciences, Zelen Commons 3 Blackfan Circle, Boston, MA

    Elevate @ Eleven: Comp Bio Connections Wednesday December 6th, 2023 12:00-1:00PM In-person only, Zelen Commons, 11th floor of the Center for Life Sciences Building Huy Nguyen Computational Biologist, Center for DNA Damage & Repair, Dana-Farber Cancer Institute Lunch is provided.  

  • ImmunoPROFILE: An Multiplex Immunofluorescence Based Immune Cell Profiling Test and Data Resource; An Overview and Analysis Vignette Using GNNs

    Elevate @ Eleven: Comp Bio Connections Wednesday January 10th, 2023 12:00-1:00PM In-person only, Zelen Commons, 11th floor of the Center for Life Sciences Building Katharina Hoebel, Research Fellow, Department of Data Science, Dana-Farber Cancer Institute James Lindsay, Director, Software Engineer, Department of Data Science, Dana-Farber Cancer Institute Lunch is provided.

  • Methods for the Analysis of Data with Missing Values

    Frontiers in Biostatistics Seminar Tuesday January 16, 2023 @ 1pm ET Center for Life Sciences Building, Room 11081 Roderick Little, PhD Richard D. Remington Distinguished University Professor of Biostatistics Professor, Department of Statistics Research Professor, Institute for Social Research University of Michigan School of Public Health YouTube Video Abstract: I review methods for handling missing […]

  • Tracing the Mutational Footprints of Cancer to Guide Personalized Therapy

    Elevate @ Eleven: Comp Bio Connections Wednesday January 24th, 2023 12:00-1:00PM In-person only, Zelen Commons, 11th floor of the Center for Life Sciences Building Doğa Gülhan, Principal Investigator, Mass General Cancer Center, KF-CCR Lunch is provided.

  • Quantitative Methods in Implementation Research: Concepts, Goals, and Applications

    Frontiers in Biostatistics Seminar Tuesday February 6, 2024 @ 1pm ET Center for Life Sciences Building, Room 11081 You Tube Link Donna Spiegelman, ScD Susan Dwight Bliss Professor of Biostatistics and Professor of Cardiovascular Medicine, Yale School of Medicine Professor, Department of Statistics and Data Science, Yale University This talk will provide an overview of […]

  • Call for Abstracts: Health Disparities and Cancer

    We invite students, postdocs, residents, clinical fellows, and early career faculty to submit abstracts for consideration as a lightning talk at the 2024 Marvin Zelen Memorial Symposium. Submit via this form by Friday March 1st, speakers will be notified by Friday March 8th.   Friday April 5, 2024 1:00-5:30PM ET Yawkey Conference Center 450 Brookline […]

  • Frontiers in Biostatistics: A Framework for Personalizing the Timing of Surveillance Testing

    **This seminar has been canceled. A new date will be announced shortly** Frontiers in Biostatistics Seminar Tuesday March 12, 2024 @ 1pm ET   Aasthaa Bansal, PhD Associate Professor, The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington Joint Associate Professor, Public Health Sciences Division Joint Associate Professor, Hutchinson Institute for Cancer […]

  • Data Integration in Statistical Inference and Risk Prediction

    Joint Seminar with Harvard TH Chan School of Public Health Thursday April 11, 2024 @ 4pm ET FXB Building Room 301 Yu Shen PhD Conversation with a Living Legend Professor & Chair ad interim Department of Biostatistics The University of Texas MD Anderson Cancer Center In comparative effectiveness research and risk prediction for rare types […]

  • Cancer Risk Prediction, Early Detection and Minimal Residual Disease

    Frontiers in Biostatistics Seminar Tuesday May 7, 2024 @ 1pm ET In-person and Zoom available. Cristian Tomasetti, Ph.D. Director, Center for Cancer Prevention and Early Detection, City of Hope Professor and Director, Division of Mathematics for Cancer Evolution and Early Detection, Department of Computational & Quantitative Medicine, City of Hope

  • Challenges of Producing High-Quality Labelled Data

    Tuesday, August 13 @ 1:00PM Eastern Time Center for Life Sciences Building, 11th floor, room 11081 3 Blackfan Circle, Boston Peter Lipman Technical Lead & Manager Data Science & Human Computation, Google Zoom: https://bit.ly/plipman

  • Fall schedule to be announced

    Watch here for updates on our fall seminar schedule. You can also sign up for our weekly newsletter to stay informed of data science events in the Boston area.

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    Hierarchical Causal Models

    HSPH Biostatistics and DFCI Data Science Colloquium Series Thursday September 12, 2024 4:00-5:00PM HSPH FXB Building Room 301 David Blei, PhD Professor of Statistics and Computer Science Columbia University Analyzing nested data with hierarchical models is a staple of Bayesian statistics, but causal modeling remains largely focused on "flat" models. In this talk, we will […]

  • Inference for Treatment-Specific Survival Curves using Machine Learning

    HSPH Biostatistics and DFCI Data Science Colloquium Series Thursday September 19, 2024 4:00-5:00PM HSPH FXB Building Room 313 Ted Westling, Assistant Professor, Department of Mathematics & Statistics, University of Massachusetts Amherst In the absence of data from a randomized trial, researchers often aim to use observational data to draw causal inference about the effect of a treatment […]

  • Empirical Bayes Matrix Factorization, and Genomic Applications

    Data Science Seminar Friday, October 18, 3:00 PM ET Center for Life Sciences Building, 11th Floor Matthew Stephens, PhD Chair, Department of Statistics; Ralph W. Gerard Professor of Statistics, Human Genetics, University of Chicago

  • Targeting CARM1 in Dendritic Cells for Cancer Immunotherapy

    Compbio Connections October 23rd, 12:00 -1:00 PM ET Center for Life Sciences Building, 11th floor, Zelen Commons Xixi Zhang, PhD Research Fellow, Dana-Farber Cancer Institute Lunch is provided.

  • Harnessing Bioinformatics for Cancer Research at DFCI

    Compbio Connections November 6, 12:00 -1:00 PM ET Center for Life Sciences Building, 11th floor, Zelen Commons Michael Tolstorukov Director, Bioinformatics and Molecular Data, Informatics and Analytics, Dana-Farber Cancer Institute Lunch is provided.

  • Ligand Receptor Analysis in a Spatial Context

    The Harvard Chan Bioinformatics Core in partnership with The Cancer Data Sciences Program at DF/HCC are very excited to present the Fall seminar series: Novel Applications in Single Cell Omics Ligand receptor analysis in a spatial context November 7th Sizun Jiang, PhD Beth Israel Deaconess Medical Center Harvard Medical School Martin Hemberg, PhD and Jingyi […]

  • Trajectory Inference in Single Cell Data

    The Harvard Chan Bioinformatics Core in partnership with The Cancer Data Sciences Program at DF/HCC are very excited to present the Fall seminar series: Novel Applications in Single Cell Omics Ligand receptor analysis in a spatial context November 7th Sizun Jiang, PhD Beth Israel Deaconess Medical Center Harvard Medical School Martin Hemberg, PhD and Jingyi […]

  • Spatial Transcriptomics Deconvolution Analysis

    The Harvard Chan Bioinformatics Core in partnership with The Cancer Data Sciences Program at DF/HCC are very excited to present the Fall seminar series: Novel Applications in Single Cell Omics Ligand receptor analysis in a spatial context November 7th Sizun Jiang, PhD Beth Israel Deaconess Medical Center Harvard Medical School Martin Hemberg, PhD and Jingyi […]

  • Choosing Good Subsamples for Regression Modelling: Nearly-True Models?

    Harvard Biostatistics Colloquium Series Thursday February 6th 4:00-5:00PM Harvard TH Chan School of Public Health, FXB G12 Thomas Lumley, PhD, Chair in Biostatistics, University of Aukland, New Zealand; Affiliate Professor, University of Washington, Department of Biostatistics

  • Current Methods in Single Cell FFPE Analysis

    CompBio Connections February 19, 2025 at 12pm DFCI Center for Life Science Building, Zelen Commons Anthony Anselmo Lead Bioinformatician Center for Cancer Genomics, DFCI Lunch is provided.

  • Single-cell Multi-sample Multi-condition Data Integration to Uncover Disease Signatures

    Harvard TH Chan School of Public Health, FXB G13 677 Huntington Ave, Boston, MA, United States

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday February 27th at 4pm HSPH FXB Room G13 Yingxin Lin, PhD Postdoctoral Associate in the Department of Biostatistics at the Yale School of Public Health The recent emergence of multi-sample multi-condition single-cell multi cohort studies allows researchers to investigate different cell states. The effective integration of multiple […]

  • How Do Neural Networks Learn Features From Data?

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

    HSPH Biostatistics and DFCI Data Science Colloquium Monday March 3rd at 4:00pm HSPH Kresge G2 Adityanarayanan Radhakrishnan Eric and Wendy Schmidt Center Postdoctoral Fellow, Broad Institute of MIT and Harvard, Harvard School of Engineering and Applied Sciences Abstract: Understanding how neural networks learn features, or relevant patterns in data, is key to accelerating scientific discovery. […]

  • Universal Prediction of Cell-cycle Position Using Transfer Learning

    Harvard TH Chan School of Public Health, FXB G13 677 Huntington Ave, Boston, MA, United States

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday, March 6, 2025 4:00pm Harvard TH Chan School of Public Health, FXB G13 Kasper Hansen, PhD Associate Professor, McKusick-Nathans Insitute of Genetic Medicine, Department of Biostatistics, Johns Hopkins University A significant barrier to progress in biomedical data science is the development of prediction models that work across contexts such […]

  • Decoding Aging at Spatial and Single-cell Resolution with Machine Learning

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

    HSPH Biostatistics and DFCI Data Science Colloquium Monday March 10th at 4:00pm HSPH Kresge G2 Eric Sun PhD Candidate, Department of Biomedical Informatics Stanford University Aging is a highly complex process and the greatest risk factor for many chronic diseases including cardiovascular disease, dementia, stroke, diabetes, and cancer. Recent spatial and single-cell omics technologies have […]

  • Dissecting Tumor Transcriptional Heterogeneity from Single-cell RNA-seq Data by Generalized Binary Covariance Decomposition

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

    HSPH Biostatistics and DFCI Data Science Colloquium Tuesday March 11th at 4:00pm HSPH FXB G12 Yusha Liu, PhD Research Assistant Professor Department of Biostatistics The University of North Carolina at Chapel Hill Profiling tumors with single-cell RNA sequencing has the potential to identify recurrent patterns of transcription variation related to cancer progression, and to produce […]

  • Data Integration in Spatial and Single Cell Omics: What is Erased, and Can you Recover it?

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

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday, March 27, 2025 4:00pm Harvard TH Chan School of Public Health, FXB G13 Nancy Zhang, PhD Ge Li and Ning Zhao Professor, Professor of Statistics and Data Science, Vice Dean of Wharton Doctoral Programs,  The Wharton School, University of Pennsylvania In single-cell and spatial biology, data integration refers […]

  • Fréchet Regression of Random Objects on Vector Covariates and Its Applications for Single Cell RNA-seq Data Analysis

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

    HSPH Biostatistics and DFCI Data Science Colloquium Thursday, April 3, 2025 4:00pm Harvard TH Chan School of Public Health, FXB G13 Hongzhe Li, PhD Perelman Professor of Biostatistics, Epidemiology and Informatics Director, Center for Statistics in Big Data Vice Chair for Research Integration, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Population-level single-cell RNA-seq […]

  • Modeling Multiscale Genome and Cellular Organization

    HSPH Biostatistics and DFCI Data Science Seminar Tuesday April 15 at 4:00pm Dana-Farber Cancer Institute Center for Life Sciences Building, 11th Floor, Room 11081 Jian Ma, PhD Ray and Stephanie Lane Professor of Computational Biology Carnegie Mellon University   The intersection of Al/ML and biomedicine is entering a transformative era, with growing potential to impact […]

  • Complex Disease Modeling And Efficient Drug Discovery With Large Language Models

    HSPH Biostatistics and DFCI Data Science Seminar Tuesday April 29 from 11:00-12:00pm Zoom only (Link to be posted shortly) Yu Li, PhD Assistant Professor, CSE The Chinese University of Hong Kong Large language models, which can integrate and process large amounts of data in biomedicine, have great potential in modeling complex diseases and discovering functional […]

  • 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 […]

  • 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 […]

  • 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

  • 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/