Robert Gower
Research Scientist at Flatiron Institute, Simons Foundation
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRobert Gower is a research scientist at the Flatiron Institute with nine years of experience at the intersection of optimization, randomized numerical linear algebra, and machine learning. He holds a PhD in Optimization and Operational Research from the University of Edinburgh and has held academic posts including assistant professorship at Télécom ParisTech and postdoctoral roles at INRIA and Edinburgh. His background blends rigorous mathematical theory with practical coding—often described as alternating between scribbling math and bashing out code—which he applies to scalable scientific computing and algorithmic research. Earlier work validating exotic derivatives at Banco Itaú gives him uncommon domain experience in risk-model scrutiny and regulatory-compliant validation. Based in New York, he brings both deep theory and hands-on implementation to research problems that bridge mathematics and data-driven systems.
10 years of coding experience
Doctor of Philosophy (PhD), Optimization and Operational Research, Doctor of Philosophy (PhD), Optimization and Operational Research at The University of EdinburghMsC, Applied Mathematics, MsC, Applied Mathematics at UNICAMP - Universidade Estadual de Campinas
English, Portuguese
Github Skills (20)
mer10
optimization-methods10
rlang9
genomics8
optimization8
hardware8
benchmark8
bioinformatics7
benchmarking7
differentiable-programming7
jax6
deep-learning6
convex-optimization6
machine-learning6
optimizer6
Programming languages (4)
Github contributions (5)
gowerrobert/StochOpt.jl
Oct 2017 - Nov 2019
A suite of stochastic optimization methods for solving the empirical risk minimization problem.
Contributions:107 commits, 1 PR, 76 pushes in 2 years 1 month
optimization-methods
bob-carpenter/kmers
Dec 2021 - Feb 2023
k-mer based genomics
Contributions:2 reviews, 68 commits, 5 PRs in 1 year 2 months
k-merbioinformaticsgenomicsmer
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