Xiao Fang

Quant at A.R.T. Advisors, LLC

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Xiao Fang is a quantitative researcher based in New York with 10 years of experience translating advanced statistical and computational methods from cosmology into finance. After a prolific academic career—60+ publications and 3000+ citations—she led data-analysis pipelines and core software in C/C++ and Python for large international astrophysics collaborations before moving into quantitative finance at A.R.T. Advisors. Xiao combines rigorous experimental-design thinking with practical production coding, building robust analysis tools under real-world constraints. Her background in leading independent research projects and collaborating across global teams gives her a rare blend of deep domain expertise and cross-disciplinary communication skills. Notably, she brings the precision of a stargazer to market modeling, applying techniques honed on the night sky to noisy financial signals.
code10 years of coding experience
bookBachelor’s Degree, Physics, Bachelor’s Degree, Physics at Nankai University
bookExchange, Physics, Exchange, Physics at Heidelberg University
bookDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at The Ohio State University
languagesEnglish, Chinese
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Github Skills (27)

derivative9
density-estimation8
statistics8
routines8
cosmology7
random-walk7
knockout6
cudnn5
gpu5
python5
astrophysics4
cupy4
cuda4
scipy3
numpy3

Programming languages (2)

CPython

Github contributions (5)

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CosmoLike/CosmoCov_Fourier

Nov 2021 - Sep 2023

Contributions:1 release, 190 pushes, 1 tag in 1 year 10 months
CosmoLike/CosmoCov

Apr 2020 - Jun 2022

Configuration Space Covariances for Projected Galaxy 2-Point Statistics
Contributions:23 commits, 4 PRs, 18 pushes in 2 years 2 months
statistics
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