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. […]

2022 Marvin Zelen Symposum: Data Visualization

The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many industries, academia, and government. News organizations are increasingly embracing data journalism and including effective infographics as part of their reporting, while in research we increasingly rely on data visualization to assess data quality and describe and […]

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 […]

Data Science Seminar: Identification of Novel Oncogenic and Neurodevelopmental Programs Using Bulk and Single-cell Sequencing Approaches

Jeremy M. Simon, Ph.D. (he/him/his) Associate Professor, Department of Genetics Co-Principal, Bioinformatics and Analytics Research Collaborative (BARC) Director, UNC Neuroscience Center Bioinformatics Core Carolina Institute for Developmental Disabilities University of North Carolina at Chapel Hill Register for Zoom Webinar. Establishing and maintaining proper transcriptional programs is central to both development and disease, and involves the […]

Training Session: Biomarkers in Cancer Research

Wednesday June 15, 2022 10:00-12:00pm Eastern Time Nabihah Tayob, PhD Assistant Professor Department of Data Science, Dana-Farber Cancer Institute Harvard Medical School Zoom registration: https://bit.ly/TSJune22  

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 […]

Postdoc Open House

The Dana-Farber Cancer Institute Department of Data Science announces its third annual Postdoc Open House Day on Friday, October 14th, 12pm-7pm in person. If you are interested in learning more about postdoctoral opportunities at Dana-Farber Cancer Institute and would like to learn about the research our faculty are conducting, please sign up for this free […]

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