Summary
Jean Disset is a research scientist and computational synthetic biologist based in Cambridge, MA, with 11 years of experience at the intersection of computing and living systems. He designs and implements bio-inspired algorithms and platforms—spanning neuromorphic computing, evolutionary computation, cell simulation, and robotics—to study and engineer the emergence of shape and patterns in complex systems. His work bridges high-performance computing and experimental synthetic biology, translating insights from artificial life into control systems and optimization strategies. Jean has held research and postdoctoral roles at MIT and Harvard and brings a rare blend of theoretical PhD training and hands-on systems engineering. Colleagues know him for combining rigorous simulation frameworks with inventive, hardware-aware implementations that push toward programmable multicellular behaviors.
11 years of coding experience
4 years of employment as a software developer
Mathematics, Physics, Computer Science (bachelor), AI & robotics (master), Mathematics, Physics, Computer Science (bachelor), AI & robotics (master) at Université Paul Sabatier Toulouse III
Visiting PhD Student, Visiting PhD Student at EPFL
Doctor of Philosophy - PhD Computer Science - Artificial Life, Doctor of Philosophy - PhD Computer Science - Artificial Life at Toulouse School of Economics
Erasmus exchange program, Erasmus exchange program at Edinburgh Napier University
French, English, Spanish