Shabih is a computer scientist at the well living Lab in Rochester, MN. He leads the design and maintenance of the Well Living Labs’ robust and highly scalable data analytics platform. Additionally, he advises on technological aspects of research studies such as the choice of wearables and other tracking devices.
Shabih specializes in machine learning, signal processing, wearable computing, mobile health and mobile ecological momentary assessments. Prior to joining Delos, Shabih acquired extensive experience in building end-to-end healthcare systems, ranging from building mobile data collection platforms to creating machine learning models for generating actionable insights about human behavior, and physiology.
He holds a Doctorate in Computer Science from the University of Iowa and a Bachelor of Technology in Computer Engineering from the Aligarh Muslim University in India. In 2013, he received the Best Student Paper Award at the 26th Institute of Electrical and Electronics Engineers International Symposium on Computer-Based Medical Systems (IEEE CBMS).