Marc Berliner is a founding engineer building the next generation of fast, robust, and scalable battery simulation tools at Ionworks, with six years of engineering experience and a Ph.D. from MIT. He previously led development of Dyad Batteries at JuliaHub, delivering high-performance DFN and single-particle simulators that scale to packs with thousands of cells and bridging physics-based models with ML for real-world battery behavior. At MIT he produced HPC implementations of lithium-ion models, developed real-time optimal charging algorithms, and applied Bayesian and acoustic-ML methods to diagnose lifetime and parameter identifiability. Marc combines deep domain expertise in electrochemical modeling with hands-on product experience—running webinars, supporting sales, and shaping technical roadmaps—to move simulations from research into production. Based in Cambridge, he focuses on making complex battery physics practical and fast for industrial deployment, often optimizing for scalability and real-time use cases that aren’t obvious from academic work alone.
5 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Chemical Engineering, Bachelor of Science - BS, Chemical Engineering at Florida State University
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Massachusetts Institute of Technology
Contributions:8 PRs, 159 pushes, 33 branches in 4 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.