My research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, I bridge Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to human behavior in their outputs.
I completed my PhD at the MIT Brain and Cognitive Sciences department with Jim DiCarlo, following Bachelor’s and Master’s degrees in computer science at TUM, LMU, and UNA. Previous work includes research in human-like vision at Harvard, natural language processing + reinforcement learning at Salesforce, as well as several other projects in industry and two startups. My work has been recognized in the news at Science magazine, MIT News, and Scientific American.
I am currently a tenure-track assistant professor at EPFL at the Neuro-X institute, with appointments at the School of Life Sciences, and the School of Computer and Communication Sciences.