John Parker is a Director of Software Engineering who blends an 11-year engineering career and a PhD in physics to build data and AI platforms that accelerate therapeutic discovery. He leads cloud-native teams at Evozyne, architecting AWS and Databricks infrastructure, GPU-accelerated ML training, and agentic AI integrations to turn scientific workflows into production-grade, data-driven decision systems. His foundation in computational physics and HPC—developing open-source simulation packages and operating 1,000+ node clusters—gives him rare depth in scaling compute-intensive workloads for research and industry. John is equally focused on people and process, translating business goals into platform roadmaps while growing engineering capability and cross-disciplinary collaboration. An early collaborator with NVIDIA on BioNeMo models and an adopter of GitOps and monorepo practices, he brings hands-on technical leadership across the full data lifecycle and emerging AI tooling.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Georgia Institute of Technology
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Chicago
Numerically solve the Fokker-Planck equation in N dimensions
Contributions:42 commits, 1 PR, 39 pushes in 2 years 3 months
solveequationdimensionsplanckphysics
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