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 (29)

galaxy9
derivative8
routines8
cosmology7
random-walk7
statistics7
density-estimation7
cudnn7
cuda6
numpy-arrays6
python6
cupy5
gpu5
astrophysics5
knockout5

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
xfangcosmo/FFTLog-and-beyond

Apr 2019 - Aug 2022

An FFTLog code for efficiently computing integrals containing 1 spherical Bessel function or Bessel function or its 1st/2nd derivative.
Contributions:1 release, 51 commits, 3 PRs in 3 years 4 months
besselintegralsbessel-functionderivativecomputing
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Xiao Fang - Quant at A.R.T. Advisors, LLC