Michael W. Toomey, Ph.D.
Physicist · ML Researcher · Data Scientist
MIT theoretical cosmologist · Brown Ph.D. · Microsoft Research alumnus. 10+ years building ML pipelines and Bayesian inference frameworks grounded in physical theory. 25 publications, 16 NeurIPS workshop papers, 1,100+ citations.
Eager to bring 10+ years of research to AI/ML, Data Science & Quantitative Finance
Featured Projects
ML Engineering
PyTorch, normalizing flows, diffusion models, CNNs, vision transformers, LLMs, AI-augmented development
Theory & Inference
Theoretical modeling, Bayesian parameter estimation, MCMC, simulation-based inference, model comparison
Large-Scale Data
Survey data pipelines, HPC, Monte Carlo simulation, image processing
Open to Opportunities
Transitioning from academic research to industry. Open to roles in AI/ML engineering, data science, and quantitative finance.