Alireza Sameh

Alireza received his B.Sc. degree from Iran University of Science and Technology (IUST), Tehran, Iran, and M.Sc. from the Amirkabir University of Technology (AUT), Tehran, Iran. He is a Machine Learning Scientist specializing in the development and prototyping of data pipelines and model architectures to address complex data-driven challenges in health analytics. His research focuses on digital phenotyping, leveraging non-invasive sensor data (e.g., motion, sleep, physiological signals) from wearable and smartphone devices to detect, screen, and predict health-related outcomes in general populations.