COVID-19 Data Science Zoomposium

Caroline Buckee, Department of Biostatistics Harvard TH Chan School of Public Health How do we predict the pandemic? Michael Mina, Department of Epidemiology Harvard TH Chan School of Public Health The importance and challenges of testing for COVID-19 Natalie Dean, Department of Biostatistics, University of Florida How we evaluate the efficacy of potential therapies and […]

Data Science Zoominar: Teaching Data Science to the Masses

A conversation with Jeff Leek, PhD, Johns Hopkins University. Moderator: Rafael Irizarry. Registration required. https://dfci.zoom.us/webinar/register/WN_XscX-d21RqylhDCXzvP2-Q A recording of the talk is available on our YouTube channel.

A New Hybrid Phase I-II-III Clinical Trial Paradigm

Frontiers in Biostatistics Seminar Tuesday September 15, 2020 at 1:00PM Eastern Time Peter F. Thall, PhD Department of Biostatistics University of Texas M.D. Anderson Cancer Center Abstract: Conventional evaluation of a new drug, 𝐴, is done in three phases. Phase I relies on toxicity to determine a “maximum tolerable dose” (MTD) of 𝐴, in phase […]

Cancer Development, Heterogeneity and Dynamics from Premalignancy to Drug Refractory Disease

Data Science Seminar September 22, 2020 2:00PM ET Ignaty Leshchiner, PhD Postdoctoral Fellow, Harvard Medical School/Brigham and Women's Hospital Zoom link: http://bit.ly/DSSept22 Abstract: Real-time study of tumor emergence and progression in patients will help predict and ultimately change the course of the patient's disease. This could be achieved by inferring genotypes of heterogeneous cell populations within […]

3D Spatial Organization Within Tumors

Data Science Seminar September 29, 2020 1:00PM ET Martin Aryee, PhD Assistant Professor of Pathology, Harvard Medical School Assistant Molecular Pathologist, Massachusetts General Hospital Zoom link: https://dfci.zoom.us/j/95524743149?pwd=SzN4cjJZUnhsNVl3dXNmZjZ1N3F4QT09 Abstract: The spatial organization of biological systems can impart additional functionality beyond that of the individual components. This is true at a range of scales – from cells […]

Constructing Confidence Interval for RMST under Group Sequential Setting

Frontiers in Biostatistics Seminar October 13, 2020 1:00PM Lu Tian, PhD Associate Professor of Biomedical Data Science in the School of Medicine Stanford University It is appealing to compared survival distributions based on restricted mean survival time (RMST), since it generates a clinically interpretable summary of the treatment effect, which can be estimated nonparametrically without […]

Computational Biology of DNA Repair in Cancer

Data Science Seminar October 15, 2020 1:00PM ET Dominik Glodzik, PhD Repare Therapeutics Zoom link: https://bit.ly/DSOct15 Abstract: Whole genome sequences contain within them signatures of mutational processes. In particular, some of the mutation signatures relate to impaired DNA-repair in cancer cells. Accurate measurement of mutation signatures reveals the role of DNA-repair deficiencies in etiology and […]

DF/HCC Cancer Data Science Program &Harvard Chan Bioinformatics CoreJoint Symposium on scRNAseq Methodology

Monday, December 14, 3:00-4:30 PM ET RSVP https://bit.ly/CDSBioDec14 Speakers: Aedin Culhane, Senior Research Scientist, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health Isabella Grabski, PhD Student in Biostatistics, Harvard University Probabilistic gene barcodes identify cell-types in single-cell RNA-sequencing data Shannan Ho Sui, Senior Research Scientist, Harvard T.H. Chan School of Public Health […]

Frontiers in Biostatistics: Statistical Modeling and Adjustment for Sampling Biases

Frontiers in Biostatistics Seminar January 12, 2021 1:00PM Jing Ning, PhD Associate Professor. Department of Biostatistics Division of Quantitative Sciences The University of Texas M.D. Anderson Cancer Center Register at: https://bit.ly/FIBJan12 Abstract: Bias sampling mechanisms are commonly encountered in applications where the subjects in a target population are not given an equal chance to be selected, […]

Frontiers in Biostatistics: Group Sequential Design Assuming Delayed Benefit

February 9, 2021 1:00PM ET Keaven Anderson, PhD Scientific AVP, Methodology Research, Biostatistics at Merck Group Sequential Design Assuming Delayed Benefit Abstract: We consider an asymptotic approach to design of group sequential trials with a potentially delayed effects. Logrank, weighted logrank tests and combination tests are of primary interest, but we also consider restricted mean […]

Frontiers in Biostatistics: Distributed Statistical Learning and Inference in EHR and Other Healthcare Datasets

Frontiers in Biostatistics Seminar March 9, 2021 1:00PM Rui Duan, PhD Assistant Professor of Biostatistics Harvard TH Chan School of Public Health Distributed Statistical Learning and Inference in EHR and Other Healthcare Datasets Abstract: The growth of availability and variety of healthcare data sources has provided unique opportunities for data integration and evidence synthesis, which […]

Frontiers in Biostatistics: Single-Cell RNA-Seq Data Analysis Via a Regularized Zero-Inflated Mixture Model Framework

Frontiers in Biostatistics Seminar May 11, 2021 1:00PM Jianhua Hu, PhD Professor, Biostatistics (in Medicine and in the Herbert Irving Comprehensive Cancer Center) Director, Cancer Biostatistics Program Columbia University Register at: http://bit.ly/FIBMay21 Abstract: Applications of single-cell RNA sequencing in various biomedical research areas have been blooming. This new technology provides unprecedented opportunities to study disease […]

Frontiers in Biostatistics: Studies on COVID-19 and Cancer using National Real-World VA Data

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 on using machine learning and data science methods, in combination with the VA’s large clinical, genomic, and imaging databases, to generate knowledge and resources that […]

Data Science Seminar: Deciphering Tissue Microenvironment from Next Generation Sequencing Data

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 has transformed our understanding of cell biology and human disease. As NGS has been adopted earliest by the scientific community, its use has now become […]

Frontiers in Biostatistics: Early Phase Design Considerations for Oncology Drug Development in the Era of Immunotherapy and Targeted Agents

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 Director for Biostatistics and Research Data Governance and became CENTRA’s first Vice President in 2022. CENTRA leads ASCO’s research efforts, including the TAPUR Study, ASCO’s […]

Data Science Seminar: End-to-end AI for Screening Mammography

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 to reduce breast cancer mortality by 20-40%, but significant opportunities remain for improving access and overall quality. Artificial intelligence (AI) has the potential to deliver […]

Data Science Seminar: Spatial meshing for general Bayesian multivariate models

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 Bayesian models with spatial random effects to large scale multivariate multi-type data from satellite imaging, land-based weather and air quality sensors, and citizen science, with […]

Data Science Seminar: From descriptive to predictive biology via single-cell multiomics

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 of Genomic Medicine Assistant Director, Johns Hopkins University Single Cell Consortium Register. Abstract: As the single-cell field races to characterize each cell type, state, and […]

Frontiers in Biostatistics: Considerations for Extracting Real-World Evidence from Real-World Data

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), including electronic health records (EHR) and medical claims data, have exploded over the past decade. The Covid-19 pandemic has provided a particularly dramatic illustration of […]

Data Science Seminar: Radiomics for Feature Extraction from Radiological Images

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 including computed tomography, positron emission tomography, and magnetic resonance images are collected for diagnosis and for evaluation of disease progression. Tumor characteristics, often referred to […]

Data Science Seminar: Engineering Protease Activity Sensors For Personalized Detection and Profiling of Cancer

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 and therapeutic opportunities are intelligently tailored to individual patient needs. Achieving this vision necessitates access to high quality, accurate, and individualized information about disease state. […]

Frontiers in Biostatistics: Tree-based Ensembling Strategies for Handling Heterogeneous Data

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 applications. We first consider the task of learning prediction models when multiple training studies are available. We present a novel weighting approach  for constructing tree-based ensemble […]

It’s All Relative: Testing Differential Abundance in Compositional Microbiome Data

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 for Zoom link Abstract: Studies on the human microbiome have revealed that differences in microbial communities are associated with many human disorders such as inflammatory […]

Design and Implementation of Bayesian Adaptive Phase I Trials in Oncology using the DEDUCE Application

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

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 Children’s Hospital Clement Ma, PhD Assistant Professor, University of Toronto Independent Scientist, CAMH

A Nonparametric Bayesian Approach to Use RWD in Clinical Trial Design

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 University of Texas at Austin  

Using the Case Study of Atezolizumab Development to Rethink Early Phase Oncology Trial Design

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 joint appointment in the Taussig Cancer Institute Assistant Professor of Medicine, the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University

Computation of High-Dimensional Penalized Generalized Linear Mixed Models

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 through her graduate research assistant role in the Lineberger Comprehensive Cancer Center as well as her personal research applications. In cancer research as well as […]

Dimension Reduction of Longitudinal Microbiome Data

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 University School of Medicine Abstract: The analysis of longitudinal microbiome is crucial to the understanding of how microbiome changes over time. It often requires careful […]

Model-robust and Efficient Covariate Adjustment for Cluster-randomized Experiments

Frontiers in Biostatistics Seminar Tuesday May 9, 2023 1:00PM Eastern Time Join the Zoom. Fan Li, PhD Assistant Professor of Biostatistics, Yale School of Public Health Cluster-randomized experiments are increasingly used to evaluate interventions in routine practice conditions, and researchers often adopt model-based methods with covariate adjustment in the statistical analyses. However, the validity of model-based […]

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 […]

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.

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

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 […]