Nathan Krislock
Associate Professor
Illinois, United States
Summary
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Senior🎓
Top SchoolNathan Krislock is an applied mathematician and associate professor with 13 years of experience specializing in continuous and combinatorial optimization, particularly semidefinite programming and numerical computation. Based in Illinois, he blends deep theoretical work—convex relaxations, interior-point methods, Euclidean distance matrices—with practical large-scale scientific computation applied to problems like molecular conformation and wireless sensor network localization. His postdoctoral work at INRIA and UBC focused on fast semidefinite-based bounds and sparse/low-rank recovery, contributing to solver development such as BiqCrunch. Known for bridging rigorous numerical linear algebra with real-world optimization challenges, he brings both academic breadth from a Waterloo PhD and a track record of turning hard combinatorial problems into computable solutions.
13 years of coding experience
1 year of employment as a software developer
M.Sc., Mathematics, M.Sc., Mathematics at The University of British ColumbiaB.Sc. Hons., Mathematics / Computer Science, B.Sc. Hons., Mathematics / Computer Science at University of ReginaPhD, Combinatorics & Optimization, PhD, Combinatorics & Optimization at University of Waterloo
Stackoverflow
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Github Skills (24)
optim10
optimisation10
julia10
render9
programming-language9
machine-learning9
root-finding9
optimization9
science9
hpc8
gradient8
computation8
numerical7
julialang7
fundamentals6
Programming languages (8)
Github contributions (5)
math435/lecture-notes
Jan 2021 - Apr 2023
Lecture Notes for MATH 435 (Numerical Analysis)
Contributions:3 PRs, 77 pushes, 6 branches in 2 years 3 months
numerical-analysis
math445/lecture-notes
Jan 2021 - May 2021
Contributions:94 commits, 67 pushes in 3 months
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