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Welcome to the page of the Professorship for Data Assimilation

In order to be able to predict severe weather events or the melting of ice in the Arctic, information in the form of heterogeneous data must be linked with numerical models of dynamic systems. This is done through data assimilation, which makes it possible to better investigate processes and predict their further development.  In the field of data assimilation, the professorship is concerned with the further development of data science algorithms by incorporating physical conservation laws, and solving correspondingly large optimisation problems in the environmental sciences. Quantifying the uncertainties of predictions, numerical models and observations also plays a central role here.

About us

Prof. Janjic introduces herself and the chair

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Math News

MIDS welcomes Prof. Pirmin Fontaine as a new member of the Institute

The graduate mathematician completed his doctorate in logistics and supply chain management at the Technical University of Munich. As a postdoc, he worked at CIRRELT, one of the world's leading research centers in the field of logistics and operations research, in Montreal, Canada. Mr. Fontaine has been a junior professor for Operations Management (with tenure track) at the KU's Faculty of Business Administration and Economics since 2019. From April, he will take over the Chair of Operations Management there.

In 2022, Wirtschafswoche recognized Pirmin Fontaine as one of the top 100 most research-intensive business economists (83rd out of 3600) and top 50 in the U40 ranking (43rd out of 500).
MIDS is very proud to be able to appoint him from the status of associate member to one of the eight full members.
An overview of all persons involved in the institute can be found HERE.

Pirmin Fontaine himself says: "I see myself at the interface between mathematics, computer science and economics. In MIDS, I have the great opportunity to work precisely at this interface."

The Data Science course, which is supervised by the professors at the institute, builds on precisely this focus and now benefits more than ever from the expertise of Prof. Fontaine and his team. You can find more information about this HERE.

Mathematical Institute for Machine Learning and Data Science

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The Heisenberg professorship is part of the Mathematical Institute for Machine Learning and Data Science, MIDS.
Learn more about MIDS here.