Scott Clark
Founder at Distributional
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolScott Clark is a founder and engineering leader with 15 years of experience building and scaling AI-driven products, most notably co-founding SigOpt and guiding its acquisition by Intel to continue developing an Intelligent Experimentation platform. He blends deep academic expertise—a PhD in Applied Mathematics and MS in Computer Science from Cornell—with hands-on production experience applying optimal learning and Bayesian optimization across domains from bioinformatics to ad targeting. At Intel he led SigOpt post-acquisition and broader AI/HPC application enablement, and today he’s co-founder and CEO of Distributional, focusing on tooling to test and harden AI systems. His background includes building open-source optimization tooling at Yelp (MOE) and leading cross-disciplinary teams that translate advanced algorithms into measurable business impact. He serves on multiple advisory boards and local institutions, reflecting a commitment to both industry innovation and community engagement. An uncommon thread through his career is pairing theoretical optimal-learning research with pragmatic productization at scale.
15 years of coding experience
13 years of employment as a software developer
W15 Batch, W15 Batch at Y CombinatorBS (x3) BS Mathematics, BS (x3) BS Mathematics at Oregon State UniversityPhD Applied Math (ML and Optimization focus), PhD Applied Math (ML and Optimization focus) at Cornell University
German
Github Skills (21)
yelp10
latex10
ipython9
espn9
optimization9
hyperparameter-optimization8
machine-learning8
assembly8
notebook8
jupyter8
python7
aws6
command-line-interface6
data-science6
amazon-web-services5
Programming languages (5)
Github contributions (5)
sc932/resume
Sep 2011 - Oct 2016
My CV/resume in LaTeX.
Contributions:16 commits, 5 PRs, 4 pushes in 5 years 1 month
latexcv-resume
sc932/Thesis
Mar 2012 - Aug 2012
Contributions:30 commits in 5 months
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