Yang Guo
Software Engineer at Uber
Town of Brookhaven, New York, United States
Summary
👤
Senior🎓
Top SchoolYang Guo is a software engineer with a PhD in Computer Science and a decade of experience applying advanced mathematics to real-world systems, currently building incentive allocation and budget monitoring platforms at Uber. His background blends computational geometry, topology and deep learning—he published algorithms on landmark-constrained surface registration, optimal-transport generative models, and 3D topological optimization in top venues including ECCV, ICLR and CMAME. Fluent in C++ and Python, he moves research ideas into production, having expanded investment allocation systems for NYC markets. Based in Brookhaven, NY, he is especially interested in geometry- and topology-driven algorithms and their practical deployment, bringing both theoretical rigor and collaborative engineering to complex product problems.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Renmin University of ChinaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stony Brook University
Github Skills (4)
generative-model10
pytorch7
deep-learning7
linux2
Programming languages (2)
Github contributions (5)
k2cu8/pyOMT
Dec 2018 - Apr 2021
A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm
Contributions:28 commits, 12 pushes, 1 comment in 2 years 4 months
deep-learninggenerative-modelmonte-carlo-integrationoptimal-transportpytorch
k2cu8/cuOMT
Sep 2018 - Feb 2020
Contributions:17 commits, 3 pushes in 1 year 6 months
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