Maximilian Schmidt

Maximilian Schmidt completed his Ph.D. on deep learning methods in inverse problems at the University of Bremen’s Center for Industrial Mathematics under the direction of Peter Maass. He is one of the co-founders of “aisencia,” a research project that investigates the transfer of deep learning methods for disease detection in tissue samples. His main area of interest involves linking mathematical models with data-driven approaches.