June 16, 23, and 30, 2021 10:00am-12:00PM Eastern Time Haesook Kim, PhD Principal Research Scientist Department of Data Science, Dana-Farber Cancer Institute Department of Biostatistics, Harvard T.H. Chan School of Public Health RSVP: https://bit.ly/DSTSJune16
Tuesday September 14, 2021 1:00PM Eastern Time Holly Janes, Ph.D. Professor, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center Professor, Public Health Sciences Division, Fred Hutchinson Cancer Research Center YouTube video now available.
Tuesday, October 19, 2021 1:00pm Eastern Time Meredith Regan, ScD Associate Professor Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School Treatment-free Survival as a Novel Outcome Measure of Immuno-oncology-based Therapy YouTube Link
Thursday, October 28, 2021 11:00am Eastern Time Tengfei Li Georgetown University Causal Inference Methods for Measures of Health Disparities There is increased interest in the evaluation of health disparities between different socioeconomic groups using data from observational studies. However, in the absence of randomization, the results and conclusions may be limited to associations rather than […]
The Dana-Farber Cancer Institute Department of Data Science announces its second annual Postdoc Recruitment Day to be held on Wednesday, November 3rd from 1-3pm EST. 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 […]
Tuesday, November 9, 2021 1:00pm Eastern Time Suyu Liu, PhD Associate Professor Department of Biostatistics The University of Texas MD Anderson Cancer Center A Bayesian Phase I/II Trial Design for Immunotherapy Immunotherapy is an innovative treatment approach that stimulates a patient's immune system to fight cancer. It demonstrates characteristics distinct from conventional chemotherapy and stands […]
Tuesday, December 7, 2021 1:00pm Eastern Time Giovanni Parmigiani, PhD Professor Harvard T.H. Chan School of Public Health Link to YouTube Video Cancer on the Way to Mars Links: https://www.nap.edu/download/26155 https://www.env.go.jp/en/chemi/rhm/basic-info/index.html https://www.nasa.gov/feature/goddard/real-martians-how-to-protect-astronauts-from-space-radiation-on-mars https://www.nasa.gov/sites/default/files/atoms/files/space_radiation_ebook.pdf https://standards.nasa.gov/standard/nasa/nasa-std-3001-vol-1 https://spaceradiation.larc.nasa.gov/nasapapers/2020/5008710.pdf
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 […]
January 19 | 2022 | 1-4PM Eastern Time This annual symposium showcases the talent of early career investigators at the Dana-Farber/Harvard Cancer Center who work in population science, including epidemiology, biostatistics, outcomes, diversity, and cancer care delivery research, and early detection. This year, Ann Partridge, MD, MPH will be our keynote speaker. Dr. Partridge is […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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. […]
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 […]
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 […]
