Highlights
- Pro
Alfred Castro-Ginard
alfredcas
Postdoctoral Researcher in the Leiden Observatory.
Member of Gaia's DPAC.
czs-school-23
Carl-Zeiss-Stiftung Summerschool on Scientifc Machine Learning for Astrophysics 2023
Andrew Saydjari
andrew-saydjari
NASA Hubble Postdoctoral Fellow @ Princeton Astro. PhD @ Harvard '24, BS/MS @ Yale '18. I am an astronomer interested in data science working on dust.
@astro-data-lab Princeton, NJ
Vedant Chandra
vedantchandra
Center for Astrophysics | Harvard and Smithsonian
Harvard University Cambridge, MA
Irham Taufik Andika
irhamta
Observational astronomer and data scientist. Machine learning enthusiast with experience in delivering insights for fintech/e-commerce businesses and products.
Technical University of Munich Munich, Germany
Lauren Anderson
andersdot
applying modern computational data analysis techniques to massive astronomical surveys to understand the processes driving the Milky Way's evolution
Carnegie Observatories Pasadena, CA
James Davenport
jradavenport
Astronomer, coffee drinker, Professor @dirac-institute, run the @StellarCartography lab
Seattle, WA
Jo Bovy
jobovy
Professor of Astronomy & Astrophysics at the University of Toronto. Interested in galaxy structure and dynamics and in open and reproducible science.
University of Toronto Toronto, ON
Karl Gordon
karllark
Astronomer. "Have Dust - Will Study"
Runner, Brewer, Woodworker.
Space Telescope Science Institute Baltimore, MD
David W. Hogg
davidwhogg
Astronomer, physicist, and statistician at NYU, MPIA, and Flatiron
New York City