Martin Beck

Develop machine learning algorithms for behavior recognition from video and wearable sensor data. Apply deep learning and computer vision techniques to behavioral science applications. Build and maintain machine learning applications in cloud environments. Work with Python, PyTorch, and MLOps tooling for end-to-end model development and deployment.

Researched how sensory and motor impairments affect AI navigation using a realistic simulation platform. Applied recurrent neural networks (RNNs) to model artificial agents, environments, and prosthetics. Simulated conditions such as blindness, motor loss, and sensory deprivation in computational models of cognition.