Léonard Boussioux
Assistant Professor of Information Systems & Operations Management
Contact: leobix [at] uw.edu
About me
Bonjour!
I am Léonard, an Assistant Professor in the Department of Information Systems and Operations Management at the University of Washington, Foster School of Business, with an adjunct position at the Allen School of Computer Science and Engineering. I earned my Ph.D. in Operations Research at the Massachusetts Institute of Technology.
My research combines operations research, machine learning, and artificial intelligence. I emphasize multimodal frameworks and data-driven decision tools, especially in healthcare and sustainability. I'm passionate about developing robust and explainable models to deploy cutting-edge predictive and prescriptive frameworks. My goal is to accelerate problem solving and innovation through Generative AI and the impact of such technology on the future of work.
As a dedicated educator, I am launching an educational effort, Universal Artificial Intelligence, to disseminate state-of-the-art technological insights to vast audiences. I mentor and teach at all levels of subjects, such as optimization, data science, machine learning, AI, and more, to empower anyone to contribute analytical solutions for a better world. My commitment to education has been recognized by three teaching awards from MIT, including the Goodwin Medal, the institute's highest teaching recognition for a graduate instructor, and two from the Foster School of Business at the University of Washington. You can find my generative AI open-source materials here 🎉
Research Experience
Outside of UW and MIT, I am an affiliate faculty at the Laboratory for Innovation Science at Harvard to push the boundaries of innovation and creative problem solving with Generative AI. I have also worked with Oxman to explore nature's intelligence with AI.
I also interned at Google X, the Moonshot Factory, at Mila with Prof. Yoshua Bengio, and studied at the Sutardja Center for Entrepreneurship and Technology at UC Berkeley.
Research Interests
Domains: AI, ML, Optimization
Techniques: Big Data Analytics, Robust and Multimodal ML, Time Series Forecasting
Applications: Future of Work, Human-AI Collaboration, Environmental Sustainability, Healthcare Operations, Analytics for Social Good
Education
PhD in Operations Research, 2023
MIT, Sloan School of Management & Schwarzman College of Computing
MSc in Applied Mathematics, 2020
Bachelor of Engineering, 2017
Centrale Paris engineering school
TEDx MIT: Let Art Be Your Superpower!
Dive into the future of artistry! In this TEDx Talk, I spotlight the transformative power of AI in art and creativity, reinforcing that we all have an inherent artist within waiting to be unleashed.
TEDx Boston: How to Solve the UN' Sustainable Development Goals in 5 Minutes
I advocate for a collective approach to the UN's Sustainable Development Goals. Using Generative AI, I emphasize that even those with minimal data science knowledge can make a significant difference. Together, we can foster collaboration and drive real-world impact.
Beyond Academia, my heart resonates with nature 🌿 and art 🎨. As a dedicated naturalist, avid birdwatcher 🦅, wildlife photographer 📷, and AI digital artist, I invite you to discover some of my bird photography and digital creations below and on my Art page!
