Assistant Professor Of Statistics And Astronomy & Astrophysics
Heidelberg, Baden-Württemberg, Germany
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Summary
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Aarya Patil is a postdoctoral fellow at the Max Planck Institute for Astronomy with a decade of experience bridging computer engineering and computational astrophysics. Trained at Pune Institute of Computer Technology and completing a PhD at the University of Toronto, Aarya focuses on numerical analysis, high-performance computing, and machine learning for observational cosmology. A longtime core contributor and former Google Summer of Code student to Astropy, they implemented near-complete FITS time-standard support—an uncommon feature that solved a multi-year interoperability issue for astronomical datasets. They also serve on Astropy’s finance and voting committees and mentor open-source development, combining technical depth with community stewardship. Comfortable in both research and production code, Aarya has hands-on experience automating spectral classification and building pipeline features that enable science at scale. Based in Heidelberg, they pursue research that leverages statistics and HPC to accelerate discovery in space science.
10 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Pune Institute of Computer Technology
Doctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at University of Toronto
Contributions:55 reviews, 124 commits, 19 PRs in 4 years 11 months
Contributions summary:Aarya's primary contribution focused on enhancing the functionality of the core astronomy and astrophysics library by implementing features related to handling time, units, and quantities within the FITS file format. The work included enabling the writing and reading of astropy Time columns to and from FITS binary tables, thereby, providing support for vectorized locations as well as the inclusion of the global informational keywords. These changes involved modifying existing code in core modules and adding new keywords while also improving the existing documentation.
Contributions:1 release, 21 commits, 12 pushes in 1 year 8 months
time-seriesspectral-analysistime-series-analysis
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