Shuhao Cao
Assistant Professor at University of Missouri-Kansas City
Overland Park, Kansas, United States
Summary
👤
Senior🎓
Top SchoolShuhao Cao is an assistant professor and computational mathematician with 8 years of experience developing fast, accurate solvers for PDEs arising in physics, chemistry, and biology. He blends rigorous PDE theory with practical software engineering, contributing to open-source packages and writing production code to bridge research and reproducible tools. Recently he has focused on integrating neural network architecture design with PDE theory, aiming to make learning-based solvers both interpretable and reliable. With a PhD in Mathematics and a background in financial mathematics, Shuhao pairs deep theoretical training with diverse academic appointments and national-lab experience, and—less obviously—brings a playful curiosity to projects (his GitHub avatar is a family cat named Andromeda).
8 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Financial Mathematics, Master of Science (M.Sc.), Financial Mathematics at Purdue University
English, Chinese, German
Stackoverflow
221reputation
4kreached
5answers
1question
Github Skills (180)
colorize10
cnn-classification10
python10
mixnet10
attention-mechanism10
autocomplete10
firefox-addon10
octave10
deep-learning10
visual-studio10
gpu10
typesetting10
uno10
gpu-acceleration10
efficientnet10
Programming languages (9)
Github contributions (5)
lyc102/ifem
Jan 2020 - Sep 2022
Contributions:4 reviews, 114 commits, 4 PRs in 2 years 8 months
building-blocksmatlabgridsfollowingfinite-element-analysis
scaomath/galerkin-transformer
May 2021 - Nov 2022
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax
Contributions:1 release, 105 commits, 2 PRs in 1 year 6 months
pytorchneurips-2021attention-mechanismdeep-learningneurips
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