T. Konstantin Rusch starts his position as new Group Leader

Dr. T. Konstantin Rusch’s new group is named "Computational Applied Mathematics & Artificial Intelligence Lab (CAMAIL)" and aims to advance AI by addressing fundamental limitations, including the lack of rigorous safety guarantees and computational inefficiencies. Konstantin focuses on combining AI with computational applied mathematics to develop enhanced AI systems grounded in rigorous mathematical foundations. Moreover, his focus is on building efficient AI frameworks that incorporate structures of physical systems into model design, resulting in better inductive biases. His objective is to ensure that advancements are both theoretically robust and impactful in tangible, real-world settings. His research agenda centers on developing AI systems that are mathematically rigorous, computationally efficient, and practically applicable, merging foundational AI research with solutions tailored to real-world challenges.

Konstantin was an SNSF postdoctoral research fellow at the Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory (CSAIL), advised by Professor Daniela Rus. Before this, he completed a PhD in applied mathematics and machine learning at ETH Zurich in 2023 under the supervision of Professor Siddhartha Mishra. During his doctoral studies, he had a second affiliation at UC Berkeley, advised by Professor Michael Mahoney. Moreover, he held visiting research appointments at UC Berkeley and the University of Oxford.

Konstantin’s prior work has already demonstrated how leveraging structures from physical systems can lead to state-of-the-art AI models that successfully address fundamental limits within their respective model classes. In addition, he has shown how AI can be integrated into computational mathematics, pushing its frontiers. Moreover, his models have been effectively utilized across various applications, including by large industrial research groups.