"Data Science Everywhere" sign up
"Data Science Everywhere" will be held on
3/12, 5:30-7:00 (Followed by a network session till ~7:30)
@ Northwest B101

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 resolution
Ashley Villar: Harvard-Smithsonian Center for Astrophysics, Eruptions, mergers and explosions of stars
Daniel King: Broad Institute of MIT and Harvard, Analysis and exploration of 100s of TB of genetics data
Katie Bouman: Harvard-Black Hole Initiative, Computational photography and imaging
Laurie Shaw: Harvard-Smithsonian Center for Astrophysics, Cosmology, finance, economics and sports data analysis
Melanie F.Pradier: Harvard SEAS, Statistical signal processing

Refreshments will be provided!t!

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What would best describe the field you're most familiar with
Question(s) to ask speakers in the panel discussion (e.g. "Why did you choose that major?" / "What is special in the data structure in your field")
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