June 4, 2021

Computational Biology, Data Science and Epidemiology

Computational, data science and population science methods are critical to tackle current and emerging health emergencies, as well as to answer fundamental biological questions. This session will highlight cutting edge research and resources from COBRE, INBRE and CTR cores and project leaders across the Northeast with topics ranging from single cell genomics, SARS-CoV-2 surveillance, gene regulation, and adoption of genomic testing.

Co-chairs: Michael L. Whitfield (NH) and Cathy Wu (DE)

  •  1:00 pm – 1:05 pm
    Introduction
    Michael L. Whitfield, PhD, NH-COBRE Center for Quantitative Biology.
    Dartmouth College Chair and Professor, Biomedical Data Science. Professor, Molecular and Systems Biology 
    Cathy Wu, PhD, DE-INBRE Program Coordinator. DE-CTR/ACCEL Biostatistics, Epidemiology and Research Design [BERD] Core. University of Delaware  
  • 1:05 pm – 1:25 pm
    Covid testing, tracing, and genomic surveillance in a university community.
    W. Kelley Thomas, PhD, NH-INBRE Director, Bioinformatics and Genomics Core CIBBR. Director of the Research Core. University of New Hampshire 
  • 1:25 pm – 1:45 pm
    Best laid plans: reviewing the MDIBL Computational Biology Core response to the pandemic.
    Joel H. Graber, PhD,. ME-INBRE, Co-Director, Bioinformatics Core. ME-COBRE, Director, MDIBL Functional Genomics Core
  • 1:45 pm – 2:05 pm
    Diffusion of genomic testing in breast cancer care.
    Erika Moen, PhD, MS, NH-COBRE Project Leader, Center for Molecular Epidemiology. Dartmouth College Geisel School of Medicine, Assistant Professor, Biomedical Data Science
  • 2:05 pm – 2:25 pm
    Importance of individual heterogeneity for contact tracing and probabilistic epidemic forecasting.
    Laurent Hébert-Dufresne, PhD, VT-COBRE Translational Global Infectious Diseases Research (TGIR). University of Vermont
  • 2:25 pm – 2:45 pm
    Single cell genomics solutions at Dartmouth and beyond.
    Fred W. Kolling, PhD, NH-COBRE Director, Single Cell Genomics Core, Center for Quantitative Biology. Dartmouth College Geisel School of Medicine. 
  • 2:45 pm – 3:05 pm
    Integrating long-range regulatory interactions to predict gene expression using graph convolutional networks.
    Ritambhara Singh , PhD, RI-COBRE Center for Computational Biology of Human Disease, Project Lead. Brown University, Assistant Professor, Computer Science
  • 3:05 pm – 3:25 pm
    Biostatistics epidemiology research design in Delaware: A network story between INBRE and CTR.
    Claudine T. Jurkovitz, MD, MPH, Christina Care Health Services Inc. Director. DE-INBRE. DE-CTR/ACCEL Lead, Biostatistics Epidemiology and Research Design (BERD) Core. Director, Centralized Research Support Network (CRSN).
  • 3:25 pm – 3:30 pm
    Concluding Remarks
    Cathy Wu, PhD, DE-INBRE Program Coordinator. DE-CTR/ACCEL Biostatistics, Epidemiology and Research Design [BERD] Core. University of Delaware