This panel aims to bring together scholars working on seemingly different fields, but all related to data science, and tries to learn the differences and commonalities between their areas and methods of study.
Each speaker will provide =~10 minutes introduction of their work in the first half, and we will open free discussions for the latter half.
Participants are welcome to ask any kinds of questions (major-specific / more general / career related)
Aleks Goeva: Broad Institute of MIT and Harvard, Statistical methods for RNA sequencing at single cell resolutionAshley Villar: Harvard-Smithsonian Center for Astrophysics, Eruptions, mergers and explosions of starsDaniel King: Broad Institute of MIT and Harvard, Analysis and exploration of 100s of TB of genetics dataKatie Bouman: Harvard-Black Hole Initiative, Computational photography and imagingLaurie Shaw: Harvard-Smithsonian Center for Astrophysics, Cosmology, finance, economics and sports data analysisMelanie F.Pradier: Harvard SEAS, Statistical signal processing
Refreshments will be provided!t!