Leonard Gleyzer
Founder & CEO at Phydra Labs
United States
Summary
👤
Senior🎓
Top SchoolLeonard Gleyzer is a founder and CEO focused on building modular, high-performance software components for Scientific ML and physics-informed machine learning. With eight years of applied research and engineering experience—spanning internships at AMD, Ansys, NASA, and a quantum computing fellowship at Los Alamos—he bridges rigorous applied math with low-level HPC optimization. He is pursuing a PhD in Applied Mathematics at Brown (with an MS and BS from Brown) and specializes in translating physics knowledge into efficient ML pipelines and GPU-optimized numerical kernels. Leonard’s background includes end-to-end data generation for complex geometries and implementing performance- and accuracy-critical GPU math, a blend that makes him adept at taking prototypes to production-grade scientific software. He’s open to contracting and consulting engagements that need a combination of scientific rigor, HPC know-how, and practical software design.
9 years of coding experience
2 years of employment as a software developer
Dropout of Philosophy - PhD Applied Mathematics, Dropout of Philosophy - PhD Applied Mathematics at Brown University
English, Russian, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (42)
equinox9
gpu9
jax9
jit8
tpu7
deep-learning7
csg6
scientific-computing6
graph-neural-network5
point-cloud5
neural-network5
3d5
sympy5
geometry4
machine-learning4
Programming languages (2)
Github contributions (5)
leonard-gleyzer/connex
Jun 2022 - Jan 2023
Fine-grained, dynamic control of neural network topology in JAX.
Contributions:12 releases, 16 commits, 10 PRs in 7 months
jaxneural-networkdeep-learningneural-networks
phydra-labs/phydrax
Jan 2026 - Jul 2026
Contributions:1 release, 10 PRs, 37 pushes in 5 months
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