I am Björn, a PhD candidate at ETH Zurich, specializing in deep learning, computer vision and non-contact physiological sensing. My research focuses on developing novel deep learning models that predict a person's emotions and physiological signals—such as heart rate—from egocentric systems (e.g., Project Aria glasses), videos, and wearable devices.

• 🔭 Dataset recordings: During the initial phase of my PhD, I focused on recording several multimodal datasets comprising synchronized egocentric and third-person camera recordings along with emotions and physiological signals, such as photoplethysmograms (PPG) and electrodermal activity (EDA).
• 🤔 Machine learning: Currently, I am developing novel deep learning techniques to estimate these physiological signals from the recorded (egocentric) videos and infer a person's affective state.
• ⚡ Future applications: Ultimately, I aim to enhance contextual AI and healthcare approaches with the help of these signals by better understanding a user's behavior and internal state.

Prior to my PhD, I completed a master's degree in Robotics, Systems and Control and a bachelor's degree in Mechanical Engineering, both from ETH Zurich.

Feel free to reach out to me via LinkedIn or check my website for more information and recent publications.