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.
8 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
Github Skills (41)
callable10
equinox9
pytorch9
autodiff9
python9
machine-learning9
composable9
gpu9
automatic-differentiation9
jit9
jax8
tpu8
numpy7
deep-learning7
mojo6
Programming languages (2)
Github contributions (5)
leonard-gleyzer/connex
Jun 2022 - Jan 2023
Fine-grained, dynamic control of neural network topology.
Contributions:12 releases, 16 commits, 10 PRs in 7 months
dataminingdeep-learningneural-networksconnexneural-network
leonardgleyzer/Lectures
Feb 2019 - Feb 2019
Lectures and workbook material
Contributions:3 pushes in 7 days
workbook
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