Summary
Jeremy Rothschild is a Machine Learning Engineer and Scientist with a Physics Ph.D. and eight years of hands-on experience solving interdisciplinary problems at the intersection of physics, ML, and biology. He builds production-ready ML systems and research-grade simulation tools, having accelerated stochastic simulations by 100x and pioneered thermal-aware ML techniques for energy-efficient AI hardware. As founder of a data consultancy, he has led client-facing projects from scoping to delivery, secured government funding, and grown community learning initiatives at the University of Toronto. His background in high-performance computing, JAX/PyTorch tooling, and statistical dynamics lets him translate complex scientific models into practical engineering outcomes. He pairs technical depth with organizational leadership—mentoring teams, managing HPC deployments, and shaping policy in academic governance. Based in Toronto, he combines academic rigor with entrepreneurial drive to tackle high-impact, computationally intensive challenges.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Toronto
Master of Science (M.S.) Physics, Master of Science (M.S.) Physics at McGill University