MDOTM, the European leader in AI-driven investment strategies, signed a partnership with School of Business, Economics & Law at the University of Gothenburg in Sweden.
The partnership will allow professors to actively collaborate with MDOTM’s R&D and offer PhD and Masters’ students access to MDOTM’s proprietary research infrastructure to develop their research projects.
The agreement comes after more than a year of intense collaboration between the Fintech scaleup and School of Business, Economics & Law at the University of Gothenburg. Researchers successfully worked alongside MDOTM’s team of financial professionals and data scientists and developed original research at the intersection between Machine Learning and ESG investing, like innovative AI-Driven methods to assess and quantify climate risk proposed to the S&P Global Academic Challenge.
Since it was founded in 2015, MDOTM has cultivated a unique research environment for bridging the gap between economic theory and real-world practice. The company partnered with prestigious international universities like UCSC Milan and built up an internal laboratory called MDOTM LAB to produce cutting-edge research. As of November 2021, the LAB can count on 20 academic advisors and 30 external researchers between PhD and Master students. Over the 60 LAB alumni, many have converted their experience to full-time positions in MDOTM’s R&D.
Federico Mazzorin, Chief Scientist and Co-founder of MDOTM, said: “We are very proud of this collaboration, which confirms our ongoing commitment to attract talents and invest in R&D. The LAB’s close ties with universities allow us to stay at the forefront of innovation and keep providing our clients reliable and science-driven insights. Thanks to the new funds we have raised, we aim at growing the MDOTM LAB aims in Europe’s leading centre for AI-Driven Asset Management research.”
Viktor Elliot, PhD, Senior Lecturer and Bitlab Director at the School of Business, Economics and Law, said “The collaboration with MDOTM is an excellent proof of successful co-creation between research and practice, where students and researchers are exposed to real-world problems. It allows us to experiment and test our ideas in a professional setting and benefit from the technical and practical know-how of some of the global leaders in AI investment in the world. We hope that this collaboration will continue to foster high-level research and practically relevant students for the benefit of society.”