Management of Technology & Entrepreneurship Institute

Michaël Aklin, named the 2025 best teacher in the management of technology and entrepreneurship Section. - 2025 EPFL/Alain Herzog - CC-BY-SA 4.0

“I apply an engineer's mindset to a non-engineering discipline”

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Michaël Aklin likes to challenge students to think about what happens outside the “safe space” of the laboratory. Named the 2025 best teacher in the management of technology and entrepreneurship section, he reminds those who attend his classes that new technology inevitably has ripple effects across society.

The establishment of the Management of Technology & Entrepreneurship Institute demonstrates a commitment to advancing knowledge and understanding in the areas of technology management, entrepreneurship, and public policy. Institutes like these play a crucial role in promoting research, fostering innovation, and developing programs that equip individuals with the skills and knowledge needed to succeed in these fields.

By combining these three domains, the Management of Technology & Entrepreneurship Institute aims to create a comprehensive understanding of how technology, entrepreneurship, and public policy intersect and influence each other. This interdisciplinary approach is crucial for addressing the challenges and opportunities in today’s rapidly evolving business and societal landscape.

MTEI teaching programs

Fields of Competences

  • Business analytics
  • Economic Analysis
  • Entrepreneurial strategies
  • Machine Learning
  • Management of innovation
  • Operations & supply chain management
  • Optimization
  • Policy & Sustainability
  • Technology commercialization
  • Technology & IP Policy 

UPCOMING EVENTS

RECENT PUBLICATIONS

2026

Group-and-cut approach for dynamic programming with Fréchet-distributed quantizers

A. Timonina-Farkas 

Omega (United Kingdom). 2026. Vol. 141, p. 103502. DOI : 10.1016/j.omega.2025.103502.

A dataset of scientific citations in U.S. patent Office Actions

K. Higham; H. Kotula; E. Scharfmann; S. Gong; G. de Rassenfosse 

Scientific Data. 2026. DOI : 10.1038/s41597-026-06720-7.

Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits

M. Li; P. Schneider; J. Aleksic; D. Kuhn 

2026. 14th International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, 2026-04-23 – 2026-04-27.

Steering towards circularity: Systemic pathways to a more sustainable use of resources in the EU automotive industry

E. Chiarotti; B. Thurm; P. Paruta; G. Baudry; L. Schwartzmann et al. 

Sustainable Production and Consumption. 2026. Vol. 62, p. 12 – 27. DOI : 10.1016/j.spc.2025.12.003.

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

M. Li; T. Sutter; D. Kuhn 

SIAM Journal on Optimization. 2026. Vol. 36, num. 1, p. 120 – 151. DOI : 10.1137/24M1631250.

CONTACT

Director of the Institute:
Prof. Daniel Kuhn
EPFL CDM MTEI
Odyssea, Station 5, 1015 Lausanne

Administration:
Amandine Weissbrodt
T: +41 21 693 0122