Health Systems: The Next Generation 2019 - Rapid Fire Research Presentations

Presented on November 12, 2019 at 12:30 p.m. in the Kendeda Building for Innovative Sustainable Design, Auditorium.Nisha Botchwey is an Associate Professor of City and Regional Planning and Director of the Healthy Places Lab in the College of Design at the Georgia Institute of Technology.Dr. Yajun Mei is a co-director of Biostatistics, Epidemiology, research Design (BERD) at Georgia Tech for Georgia Clinical & Translational Science 8 Alliance (Georgia CTSA) since 2018, the president of Georgia Chapter of American Statistical Association in 2018-2019, and the director of Master of Science in Statistics for the School of Industrial and Systems Engineering since 2018. Dr. Mei’s research interests include change-point problems and sequential analysis in Mathematical Statistics; sensor networks and information theory in Engineering; as well as longitudinal data analysis, random effects models, and clinical trials in Biostatistics.Dr. Dima Nazzal is responsible for project-based learning in the Industrial Engineering undergraduate curriculum, including the capstone senior design course, and the development and delivery of early design course for sophomores. Her research focuses on the development and application of analytical models to guide decision making in discrete event logistics systems, including semiconductor wafer fabrication facilities, pharmaceutical order fulfillment and distribution centers, energy infrastructure systems, and fresh supply chains.Leanne West, MS, is a Principal Research Scientist and the Chief Engineer of Pediatric Technologies for Georgia Tech. As Chief Engineer, she coordinates research activities related to pediatrics across campus and serves as the technical liaison for the partnership with Children’s Healthcare of Atlanta.Yao Xie is an Associate Professor at Georgia Institute of Technology in the H. Milton Stewart School of Industrial and Systems Engineering since 2013. Her research interests are statistics, machine learning, and signal processing, in providing the theoretical foundation as well as developing computationally efficient and statistically powerful algorithms.Runtime: 70:32 minute