Anita Bahmanyar is a data scientist and final-year PhD candidate in Astronomy and Astrophysics at the University of Toronto, researching Type Ia supernovae to probe the growth of structure in the universe with the Legacy Survey of Space and Time. Based in Toronto, Canada, she blends academic research with industry experience, currently at CIBC as a Data Scientist since 2021 and formerly a RBC co-op in 2018. Her technical work spans building data pipelines with Pandas and PySpark, validating simulated galaxy catalogs, and contributing to international collaborations and Kaggle challenges such as PLAsTiCC. She co-developed Halopyno, a Python package for analyzing N-body dark matter halos and generating mock galaxy catalogs and CIB/SZ cross-spectra, showcasing strength in research-to-production tooling. Outside the lab, she has led astronomy outreach as Project Director of the Astronomy and Space Exploration Society, organizing annual symposia and securing sponsorships, highlighting leadership and collaboration skills.
12 years of coding experience
13 years of employment as a software developer
University of Toronto
Diploma, Physics and Mathematics, Diploma, Physics and Mathematics at National Organization for Development of Exceptional Talents (Sampad)
A validation framework and tests for mock galaxy catalogs and beyond
Contributions:16 pushes, 1 branch in 2 years 6 months
validation-frameworkvalidationcatalogsgalaxymock
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.