AI-native materials discovery powered by unpublished experimental data
83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs. Working alongside labs, we discover the materials that will power the new Industrial Revolution.
Founder
Founder at 83 Sciences. Former BCG Principal; led the firm's AI program scaling tools and AI practices to 30,000+ users globally. Harvard CS & EE undergrad. Past robotics research (Wyss Institute) and biosignals research (Roswell Park) experience
Founder
Founder at 83 Sciences developing the future of scientific discovery. Previously a fellow at MIT focused on commercializing IP out of the ecosystem, a strategy manager at Sila Nanotechnologies (battery materials unicorn), and a consultant at Boston Consulting Group. Hold a BS and MS in Chemical Engineering from Stanford and MBA from Harvard Business School.
Founder
Founder at 83 Sciences. Experimental chemist and ML researcher with a PhD in inorganic chemistry from MIT, where I built machine learning systems to analyze complex materials data in minutes instead of days. My research spans quantum materials, generative models, and experimental data analysis, including one of the first generative approaches for chemical experimental data. BA in Chemistry from Columbia.
