New Humboldt Professor is a perfect fit with Tübingen research

Peter Dayan to strengthen partnership between University and Max Planck Institute for Biological Cybernetics

The University of Tübingen is to host another Humboldt Professorship. Peter Dayan, one of the world's leading experts in the field of theoretical neuroscience, will soon be conducting research in the Department of Informatics. Dayan recently became director of the Max Planck Institute for Biological Cybernetics in Tübingen, where he is establishing the Department of Computational Neuroscience and is involved in the restructuring of the institute. Potential cooperation with the University, the hospitals and other research institutions in Tübingen were decisive factors in his decision to come to the institute. Now he will also receive the Alexander von Humboldt Professorship to further intensify this cooperation. Previously, he worked at University College London (UCL). The Humboldt Professorship comes with five million euros over five years. It is Germany’s richest research prize.


Dayan’s research takes in the overlapping fields of neuroscience, medicine and machine learning. His research interests include the question of how the brain makes decisions. Using theoretical models, he has investigated various forms of learning, including reinforcement learning, in which the brain exploits information about previous positive and negative experiences to decide what to do next. Among other things, he analyzed how neuromodulators – chemical messengers such as dopamine, serotonin and acetylcholine – are involved in the decision-making process. Professor Peter Dayan. Photo: Thomas S.G. Farnetti{module In-article}

Dayan also investigates how different forms of dysfunctional decision-making are associated with conditions such as depression, addiction, anxiety and personality disorders. He combines the psychological and neural view of such diseases and hopes to gain insights into their causes and possible treatment.

Dayan has developed statistical and programming methods to simulate the brain’s decision-making processes. He has thus helped lay the foundations for the development of artificial neural networks. The 53-year-old will also contribute his knowledge and experience to Tübingen's research on artificial intelligence and machine learning.

"Peter Dayan's fields fit perfectly into Tübingen's research landscape," says Professor Bernd Engler, President of the University of Tübingen. "He combines several of our existing research priorities: neurosciences, clinical research and research on machine learning. His professorship in informatics strengthens the University's cooperation with the Max Planck Campus and other non-university research institutions."

"I am profoundly honoured to receive this professorship. One cannot but be humbled by Alexander von Humboldt's polymathic achievements, and it is a particular delight to be able to help celebrate the 250th year of his birth,” says Dayan. ”I am thrilled to get this opportunity to study both normal and dysfunctional learning and decision-making in a broad and deep way; and am delighted to do so within the rich intellectual environments of the University of Tübingen and the Max Planck Institute for Biological Cybernetics."

The Humboldt Professorship is a bridge to Germany for top international researchers. The award is presented to academics who have already established themselves abroad in their field of research and who declare their willingness to conduct research in Germany for at least five years. Universities nominate the candidates, who are then selected by the Alexander von Humboldt Foundation. Dayan is the fourth Humboldt Professor at the University of Tübingen. Other winners of the award are linguist Professor Rolf Harald Baayen, plant geneticist Professor Marja Timmermans and Geo- and Environmental researcher Professor Lars T. Angenent.

The official award ceremony will take place in May 2020, along with the other prize winners of 2019.

Wright becomes 5th woman to receive SIAM’s prestigious John von Neumann Prize

Wright will deliver this flagship lecture at the International Congress on Industrial and Applied Mathematics (ICIAM) next month

Margaret H. Wright, Silver Professor of Computer Science and Mathematics in the Courant Institute of Mathematical Sciences, New York University, is the 2019 recipient of The John von Neumann Prize, the highest honor and flagship lecture of Society for Industrial and Applied Mathematics (SIAM), in recognition of her pioneering contributions to the numerical solution of optimization problems and to the exposition of the subject. Wright will deliver The John von Neumann Prize Lecture, “A Hungarian Feast of Applied Mathematics,” at ICIAM in Valencia, Spain, on July 16, 2019. {module In-article} 

Wright, who holds a B.S. in mathematics and a M.S. and Ph.D. in computer science from Stanford University, is the fifth woman to receive the prestigious prize, which is awarded annually by SIAM to recognize outstanding and distinguished contributions to the field of applied mathematical sciences and the effective communication of these ideas to the community. In choosing Wright for this year’s award, the selection committee noted, “Her research has deeply impacted the theory and practice of optimization. Through her many leadership roles, she has inspired and encouraged countless others.” Wright’s 1981 book Practical Optimization (with Philip E. Gill and Walter Murray) is one of the most influential books on the subject.

The John von Neumann Prize is the latest in a long list of Wright’s accomplishments, which includes being elected to the National Academy of Engineering, the American Academy of Arts and Sciences, and the National Academy of Sciences; being named a Fellow of SIAM, the American Mathematical Society (AMS), and the Institute for Operations Research and Management Science (INFORMS); and serving as SIAM’s first woman President (1995-96).

The John von Neumann Lecture was established in 1959 to honor von Neumann, a Hungarian-American mathematician, physicist, and computer scientist, whose seminal work helped lead to the founding of modern supercomputing. Wright’s lecture playfully compares von Neumann’s work, which was (and remains) deeply influential in an amazingly wide range of areas in mathematics and computer science, to Hungarian cuisine, highlighting a necessarily small selection of areas in which von Neumann took a non-trivial interest, illustrating modern ramifications in each case. 

Learn more about SIAM’s John von Neumann Prize.