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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 […]

Ava_Soleimany

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. […]

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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 […]

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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  

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BioC 2022 registration is now open!

BioC2022 will be held as a hybrid event in Seattle, WA on July 27-29, 2022. Virtual registration is now open. Tickets for in-person attendance are now on a waitlist. Click here to add your name to the list. Additional tickets may become available if restrictions are lifted. We will email the waitlist at the end […]

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

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 […]

Machine Learning in Medical Imaging: From New Techniques to Clinical Translation

Simmons University 300 The Fenway, Boston, MA, United States

Zelen 2023 Program The 2023 Marvin Zelen Memorial Symposium featuring talks by: Andy Beck (Co-founder & CEO, Path AI) Emerging Methods in Machine Learning and Applications for Digital Pathology Jonathan Chen (Instructor in Pathology, MGH) Multicellular Networks: Immunity Hubs in Human NSCLC Marzyeh Ghassemi (Assistant Professor, MIT) Designing Machine Learning Processes For Equitable Health Systems […]

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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 […]