Summary
Nathan Russell is a Principal Machine Learning Scientist with a decade of experience building deep learning solutions across text, molecular design, single-cell transcriptomics, and networked data, currently leading ML efforts at Flagship Pioneering. He combines hands-on model development with designing the production data infrastructure required to run industrial-scale discovery engines, having previously helped grow Cellarity’s ML platform for single-cell driven drug discovery. His PhD work produced scalable algorithms—from attentive graph neural networks for reaction prediction to linear-time manifold embeddings for single-cell data—that improved state-of-the-art performance while enabling tractable searches over astronomically large molecular spaces. Comfortable moving between research and deployment, he has a track record of turning novel ML methods into practical pipelines that accelerate drug discovery and experimental optimization. Based in Boston, he brings a rare blend of academic rigor, systems engineering, and cross-disciplinary collaboration with chemists and biologists.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy Candidate (Ph.D.) Informatics - Data Analytics and Information Visualization, Doctor of Philosophy Candidate (Ph.D.) Informatics - Data Analytics and Information Visualization at University of Illinois Urbana-Champaign