Past Member

James Weis

Molecular Machines
  • Research Affiliate

James Weis is focused on using artificial intelligence and network science to--by learning patterns from the past--help design new models for funding technology research and entrepreneurship. His recent work includes developing large-scale, AI-based methods to predict, and then allocate resources across, the most impactful areas of scientific research and development, and he has published peer reviewed research in fields ranging from synthetic biology and computational bioengineering to technology transfer and hackathon design.

Outside of the Lab, James runs of Nest.Bio Labs, a multi-country biotechnology incubator, and Lavrium, a blockchain/web3-focused holding company. He is also founder of the MIT Alumni Life Science Angels of Boston and founding president of the MIT Biotech Group, and was previously a quantitative trader in New York City.

James received his Ph.D. from the MIT Media Lab for his work designing new, data-driven approaches to predict scientific impact. He is also a graduate of MIT’s Computer Science and Artificial Intelligence Laboratory, where he received his S.M. for designing machine learning alg… View full description

James Weis is focused on using artificial intelligence and network science to--by learning patterns from the past--help design new models for funding technology research and entrepreneurship. His recent work includes developing large-scale, AI-based methods to predict, and then allocate resources across, the most impactful areas of scientific research and development, and he has published peer reviewed research in fields ranging from synthetic biology and computational bioengineering to technology transfer and hackathon design.

Outside of the Lab, James runs of Nest.Bio Labs, a multi-country biotechnology incubator, and Lavrium, a blockchain/web3-focused holding company. He is also founder of the MIT Alumni Life Science Angels of Boston and founding president of the MIT Biotech Group, and was previously a quantitative trader in New York City.

James received his Ph.D. from the MIT Media Lab for his work designing new, data-driven approaches to predict scientific impact. He is also a graduate of MIT’s Computer Science and Artificial Intelligence Laboratory, where he received his S.M. for designing machine learning algorithms to engineer next-generation biocatalysts, and of Brown University’s Computer Science Department, where he graduated with Latin and departmental honors.