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Adam Kurpisz

About

Prof. Dr. Adam Kurpisz is a Tenure Track Professor in Operations Research at Bern Business School. Prior to this role, he was working at renowned institutions, including the Max-Planck-Institut für Informatik in Germany, Université Paris Sorbonne in France, Istituto Dalle Molle di Studi sull’Intelligenza Artificiale, and the Swiss Federal Institute of Technology in Zurich, Switzerland, where he maintains a secondary affiliation. His primary research emphasis is on the development of innovative algorithmic solutions for complex optimization problems with a focus on various applications to the financial sector, especially to sustainable portfolio optimization. His research endeavors have been supported by multiple grants, such as the prestigious SNF Ambizione grant. He is the author of 18 peer-reviewed conference papers and 11 journal papers, collectively cited 324 times. Beyond his own publishing, he has contributed to the scientific community by reviewing for over 19 academic journals and conferences and for grant agencies such as the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) in the Netherlands and Grantová agentura České republiky (GACR) in the Czech Republic. Bridging academia and industry, he has successfully applied his knowledge in collaborative research projects with industrial partners, including swissQuant Group AG. Additionally, he provides his scientific expertise as a consultant for two startups he co-founded and has guided them to the world finals of numerous pitching competitions, including 5th place among 1000 participants in the MassChallenge Switzerland. Furthermore, he played a key role in securing over 5 million euros for these startups, co-authoring two successful EU Fast Track grant applications.

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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