I am a Ph.D. candidate at the HMC Lab studying how people learn representations that facilitate compositional reasoning and generalization. Computational models of human representation learning allow us to predict and understand human behavior. A theoretical understanding of neural representations will also help us create better machine learning algorithms and reinforcement learning agents.
Trained in Electrical and Computer Engineering, I obtained an M.Sc. degree from the Leipzig University of Applied Sciences in cooperation with the Max Planck Institute for Human Cognitive and Brain Sciences. For my master’s thesis, I worked on computational methods for processing high-resolution MRI data.