Greg Steeg
Associate Professor
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolGreg Steeg is an associate professor and researcher with 11 years of experience bridging quantum information theory and machine learning, now based in Los Angeles. His work spans ambitious, foundational problems—from conserving information in curved spacetime and post-quantum entanglement to deriving causality from observational data and building interpretable unsupervised ML models. He has held research leadership roles at USC and the Information Sciences Institute and trained under John Preskill at Caltech, bringing deep theoretical rigor to applied research challenges. Known for exploring the "blessings of dimensionality," he combines mathematical physics insight with practical experimentation, including industry exposure at Google’s Machine Translation group.
11 years of coding experience
11 years of employment as a software developer
California Institute of TechnologyB.S., Physics, Math, Philosophy, B.S., Physics, Math, Philosophy at Drake University
Stackoverflow
101reputation
0reached
0answers
0questions
Github Skills (64)
missing-data10
sparse10
fenics10
gensim10
latent-dirichlet-allocation10
preprocessing10
hierarchical10
word2vec10
python10
toolbox10
decomposition10
word-embeddings10
hierarchical-clustering10
sampling10
manifold10
Programming languages (1)
Github contributions (5)
gregversteeg/NPEET
Oct 2014 - Oct 2022
Non-parametric Entropy Estimation Toolbox
Contributions:19 commits, 8 PRs, 12 pushes in 8 years 1 month
information-theoryentropypythonparametrictoolbox
gregversteeg/gaussianize
Oct 2015 - Dec 2019
Transforms univariate data into normally distributed data
Contributions:11 commits, 1 PR, 9 pushes in 4 years 3 months
limepythonprincipal-component-analysisunivariatecorrelation
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