Gregory Studer is a founding research engineer with a decade of experience building distributed data systems, heuristic optimization methods, and multi-agent simulations, now applying that expertise to foundation model development at Silurian AI. His background spans academia and industry—from a PhD in Artificial Life at the University of Sussex and research leadership at the University of Maine to engineering roles at MongoDB and MakerBot—bridging rigorous research with production-grade software. Gregory has repeatedly paired systems-level thinking with hands-on implementation, whether developing annealing-based schedulers, leading toolpath engineering for 3D printers, or shaping backend infrastructure for NGOs and startups. He brings a practical curiosity for physical-digital systems (3D printing) alongside deep algorithmic instincts, making him adept at turning complex, noisy data and simulations into reliable, scalable tooling.
10 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy, Artificial Intelligence, Artificial Life, Doctor of Philosophy, Artificial Intelligence, Artificial Life at University of Sussex
Master of Engineering - MEng, Computer Science, Artificial Intelligence, Master of Engineering - MEng, Computer Science, Artificial Intelligence at Cornell University
Contributions:5 commits, 3 PRs, 4 pushes in 11 days
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Gregory Studer - Founding Research Engineer at Silurian AI