Biprateep Dey
Schmidt AI In Science Fellow at Canadian Institute for Theoretical Astrophysics
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolBiprateep Dey is an Eric and Wendy Schmidt AI in Science Fellow and multi-appointed postdoctoral researcher at the University of Toronto, combining roles in Statistical Sciences, CITA, and the Dunlap Institute to develop statistical machine-learning tools for studying galaxy formation and cosmic evolution. With a PhD in Astrophysics from the University of Pittsburgh and nine years of research experience, he bridges methodological AI research and large-scale survey design, including hands-on contribution to the Dark Energy Spectroscopic Instrument (DESI) collaboration. Biprateep’s work routinely translates advanced probabilistic and ML techniques into practical survey strategies and inference pipelines, enabling population-level astrophysical discoveries. He is also an active community builder committed to accessibility and inclusivity in scientific teams, bringing both technical depth and collaborative leadership to interdisciplinary projects.
9 years of coding experience
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at National Institute of Science Education and ResearchDoctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of Pittsburgh
Stackoverflow
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0reached
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Github Skills (63)
python10
data-science10
statistics10
machine-learning10
data-analysis10
scikit-learn9
spectral8
galaxy8
measurements7
astronomy7
folding7
core-library7
prediction-model7
counter7
science6
Programming languages (7)
Github contributions (5)
biprateep/prospect
Feb 2020 - Aug 2023
DESI spectral visualization tools
Contributions:9 pushes, 2 branches, 4 comments in 3 years 7 months
spectralvisualization-toolsdesivisualization
lee-group-cmu/FlexCode
Jan 2020 - Mar 2023
Implementation of Flexible Conditional Density Estimator
Contributions:2 releases, 3 reviews, 2 PRs in 3 years 2 months
flexibleconditionaldensityestimator
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