Dr. Maxim­il­ian Dax

Princi­pal Inves­ti­ga­tor at the ELLIS Insti­tute Tübin­gen and Indepen­dent Research Group Leader at the Max Planck Insti­tute for Intel­li­gent Systems

Maxim­il­ian Dax leads the research group for “Science and Proba­bilis­tic Intel­li­gence” (SPIN) at the ELLIS Insti­tute Tübin­gen and the Max Planck Insti­tute for Intel­li­gent Systems. 

He combines founda­tional research on proba­bilis­tic artifi­cial intel­li­gence (AI) with applied research in science. His work spans a range of scien­tific domains, aiming to drive discov­ery through AI. Outside of such appli­ca­tions, his AI research focuses on gener­a­tive model­ing, inverse problems and simula­tion-based infer­ence, aiming to develop efficient, accurate and reliable methods.

Maxim­il­ian is a member of the LIGO Scien­tific Collab­o­ra­tion, an ELLIS member and a EuCAIF Junior Fellow. His PhD was supported by the Hector Fellow Academy.