William Kong
Senior Research Engineer at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolWilliam Kong is a Senior Research Engineer based in New York with 14 years of experience combining mathematical research and production-grade software engineering in C++ and Python. He holds a PhD in Operations Research and an MS in Computational Science, and has a track record of publishing and shipping code for large-scale differential privacy, optimization, and sparse-grid libraries. At Google he builds infrastructure to enable state-of-the-art research and has contributed to NeurIPS and ICLR papers, while earlier work at Oak Ridge focused on the nationally used TASMANIAN sparse grids library. His background spans finance-grade risk modeling and high-performance scientific computing, giving him a strong edge in turning rigorous theory into scalable, auditable systems. William is comfortable across theory, numerical methods, and production deployment, and often bridges gaps between academic proofs and engineering constraints. Colleagues describe him as a pragmatic researcher who accelerates research impact by shipping robust tooling for complex statistical and optimization problems.
14 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Georgia Institute of TechnologyBachelor of Mathematics - BMath, Mathematics, Bachelor of Mathematics - BMath, Mathematics at University of Waterloo
English, French, Chinese, Chinese
Github Skills (33)
stochastic10
uncertainty-quantification10
sampling10
manifold10
inverse-problems10
stochastic-processes10
approximation10
modeling10
julia9
optimization8
non-convex8
mxnet8
nonlinear-programming8
lyx8
numerical-optimization8
Programming languages (5)
Github contributions (5)
wwkong/Typesetting-Templates
Dec 2011 - Feb 2016
Contributions:24 commits, 3 PRs, 2 pushes in 4 years 2 months
lyxmarkup-languagetemplatemarkup
wwkong/TASMANIAN
Jul 2021 - Aug 2022
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
Contributions:547 pushes, 102 branches in 1 year
adaptivestochastic-modelingstochasticstochastic-processesapproximation
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