Robert Moss
Co-Founder And CEO at Valgo
California, United States
Summary
🤩
Rockstar🎓
Top SchoolRobert Moss is a Stanford-trained AI researcher and entrepreneur with 12 years of experience building safety-focused algorithms and systems for autonomy. As Co-Founder and CEO of Valgo, he translates his PhD work on safe planning under uncertainty and safety validation into product strategy and engineering leadership. His background spans research and applied roles at Stanford, Xwing, NASA Ames, and MIT Lincoln Laboratory, where he contributed to next-gen aircraft collision avoidance and assurance for autonomous systems. A hands-on engineer, he has implemented core ML algorithms in Julia (BeautifulAlgorithms.jl), including MCTS and EM, and emphasizes testing and reproducibility. Based in California, he bridges deep academic rigor with startup execution, often bringing formal safety techniques into practical deployment. Colleagues describe him as someone who pairs theoretical insight with an unusual appetite for shipping reliable, safety-critical software.
12 years of coding experience
9 years of employment as a software developer
B.S. in Computer Science, Minor in Physics, B.S. in Computer Science, Minor in Physics at Wentworth Institute of TechnologyPh.D. in Computer Science, Artificial Intelligence, Ph.D. in Computer Science, Artificial Intelligence at Stanford University
Github Skills (9)
algorithms10
regression10
machine-learning10
julia10
linear-regression10
k-means-clustering9
neural-network8
reinforcement-learning7
optimization7
Programming languages (10)
Github contributions (5)
mossr/BeautifulAlgorithms.jl
Sep 2020 - Feb 2022
Concise and beautiful algorithms written in Julia
Role in this project:
ML Engineer
ML EngineerContributions:99 commits, 7 PRs, 67 pushes in 1 year 5 months
Contributions summary:Robert significantly contributed to implementing machine learning algorithms within the Julia environment. They added functionalities such as Monte Carlo Tree Search, Thompson sampling, linear and ridge regression, basis regression, and the EM algorithm, demonstrating a focus on algorithm development. Furthermore, they incorporated core machine learning concepts by including testing for these added algorithms.
regressionquinejulia-languagenaive-bayesoptimization
mossr/TikzNeuralNetworks.jl
Sep 2020 - Nov 2021
Contributions:10 commits, 10 pushes, 1 branch in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.