Summary
Léonard Boussioux is an Assistant Professor at the University of Washington Foster School of Business who builds human-AI operations that move multimodal models from prediction to prescriptive action across domains like climate, healthcare, and startup innovation. Trained at MIT (PhD), with research stints at Google X and Mila under Yoshua Bengio, he combines rigorous optimization and deep learning to design AI systems that amplify human creativity and decision-making rather than replace it. His lab’s work—recognized by top teaching awards, MIT and Wharton competition wins, and an MIT 3-Minute Thesis first place—has led to real-world deployments such as an AI screener for MIT’s largest innovation program. He teaches human-AI operations to over 1,000 students annually and is actively developing AI mentorship tools and agentic workflows to help underrepresented entrepreneurs scale. Less obvious: his trajectory spans both hands-on product builds (mobile apps for climate crowdsourcing and insect-ID with 50k+ downloads) and high-impact theoretical advances in multimodality and imitation learning.
8 years of coding experience
6 years of employment as a software developer
Computer Science and Industrial Engineering, Computer Science and Industrial Engineering at University of California, Berkeley
Diplôme d'ingénieur (Master of science), Computer science, Applied Mathematics, Diplôme d'ingénieur (Master of science), Computer science, Applied Mathematics at CentraleSupélec
Preparatory classes MPSI / MP* : Mathematics, Physics, Computer science, Preparatory classes MPSI / MP* : Mathematics, Physics, Computer science at Lycée Louis-le-Grand
PhD, Machine Learning, Operations Research, PhD, Machine Learning, Operations Research at Massachusetts Institute of Technology
Baccalauréat, Scientifique, Baccalauréat, Scientifique at Aristide Maillol High School
French, English, Spanish, Catalan