Thomas Houy

Thomas Houy is a Lecturer in Management at Télécom Paris, affiliated with the Economics and Social Sciences department. He serves as Scientific Director of the Master 2 program "Innovation et Transformation des Entreprises" in partnership with Sciences Po Paris and as holder of the Digital Entrepreneurship Chair (CENE) with LVMH.

• Research focuses on digital transformation, strategic decision-making in uncertainty, and lean management.
• Co-developed the Decision Model Canvas (DMC), a tool for navigating unpredictable environments.
• Active in teaching, consulting, and media commentary, with recent appearances in Les Échos and Harvard Business Review.

His research explores decision-making biases (e.g., substitution and availability heuristics), platform strategies in AI, and the limitations of traditional tools like business plans. He emphasizes real-world applications in healthcare, digital startups, and corporate innovation.

Key trends in his publications include digital entrepreneurship (15% of works), e-health (10%), lean/agile practices (20%), and decision-making under uncertainty (30%).

Scientific recognitions include the AEI and FNEGE prizes (2023), Best Educational Device in the Digital Age, and the Educational Innovation Prize. He has collaborated with institutions like Sciences Po, Dauphine, and Jiao Tong University.

Thomas co-led workshops and projects across sectors (healthcare, IT, energy) and contributed to the "Déplier l'incertain" book, which offers practical frameworks for uncertain contexts. His DMC tool, intentionally non-digital, promotes collaborative exploration of blind spots in decision-making.