Doreen Fan
Software Engineer at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDoreen Fan is a software engineer with 8 years of experience bridging academic research and production systems, currently contributing to Google Ads' AViD team in the San Francisco Bay Area. She holds a PhD in Aerospace Engineering and Scientific Computing from the University of Michigan and spent several years as a postdoctoral researcher at Berkeley Lab, where she developed and analyzed numerical methods for fluid dynamics. Her expertise spans machine learning, low- and high-order finite-volume/finite-element/finite-difference solvers, and designing parallel algorithms for HPC, with particular interest in low-Mach and compressible flow. Comfortable moving work from prototype to production, she combines deep numerical analysis with practical software engineering for scalable systems. An uncommon strength is her ability to translate advanced PDE solvers into ML-informed numerical methods, enabling novel hybrid approaches to simulation and optimization.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace Engineering and Scientific Computing, Doctor of Philosophy - PhD, Aerospace Engineering and Scientific Computing at University of Michigan - Ann Arbor
Github Skills (30)
cosmology10
routines10
mach10
snl-applications10
stellar10
hydrodynamics10
mercury9
astrophysics9
orbital-mechanics9
mass-spectrometry9
astrodynamics9
fuel9
multiphysics9
cpp9
maestro8
Programming languages (6)
Github contributions (5)
doreenfan/Microphysics
May 2020 - Mar 2023
common astrophysical microphysics routines with interfaces for the different AMReX codes
Contributions:45 pushes, 5 branches in 2 years 10 months
gravitysnl-applicationsastrophysicsmultiphysicsamrex
doreenfan/ml-reactions
Apr 2021 - Oct 2022
Contributions:73 pushes, 21 branches in 1 year 5 months
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