Agata Rozga is a psychologist with expertise and 13 years of experience forging a new interdisciplinary research area at the intersection of computing and psychology called computational behavioral science. The research vision is to transform the measurement, analysis, and understanding of health-related behaviors by leveraging advances in sensing, wearable and mobile technologies, and computational analysis methods. The ultimate goal is to develop tools that can lead to better detection, monitoring, and treatment of a variety of chronic health conditions.

Thomas Ploetz is a computer scientist with expertise and almost 15 years of experience in Pattern Recognition and Machine Learning research (Ph.D. from Bielefeld University, Germany). His research agenda focuses on applied machine learning that is developing systems and innovative sensor data analysis methods for real world applications. Primary application domain for his work is computational behavior analysis, in which he develops methods for automated and objective behavior assessments in naturalistic environments.

Dr. Braunstein developed Georgia Tech’s first health informatics courses — a graduate seminar offered on campus, an OMSCS elective and an undergraduate VIP project course. In all three courses, students work under the mentorship of domain experts to develop Fast Healthcare Interoperability Resources (FHIR) based apps for providers, patients, public health and other FHIR use cases. He also developed the first two public health informatics Massive Open Online Courses (MOOCs) and a three-course health informatics professional certificate on edX. 

Michael L.