Dr. Wang's research focuses on the development of bioinformatics methods to improve the understanding of the genetic basis of human diseases, and the integration of electronic health records and genomic information to facilitate genomic medicine on scale.
Dr. Zorc's work focuses on the intersection of interventional clinical research, quality improvement (QI), and clinical informatics. He has formal certification in epidemiology, QI methodology, and clinical informatics, and has participated in multi-center research networks, guideline and improvement collaboratives, and electronic health record development locally and nationally.
Dr. Tremoulet's current research interests include designing intelligent information systems that use human data (e.g. medical images, vital signs, reaction times, verbal, numerical or abstract reasoning assessments, neurological measures, etc.) to support healthcare and/or to improve job performance by enabling more effective human-machine interaction.
Dr.Grundmeier’s research focuses on maximizing the existing and future potential of electronic health records (EHRs) for clinical research and knowledge delivery, with an overarching goal of improving health and healthcare for children.
Dr. Phillips' research interests involve learning health systems and the intersection of technology and clinical informatics with clinical research for pediatric oncology patients. His current focus is on developing novel automated methods to identify cancer patients with malnutrition and optimizing their nutritional support. He has a secondary interest in quality improvement research for supportive care in pediatric oncology.
Dr. Fiks’ research is aimed at improving outcomes for ambulatory pediatric patients through primary care, practice-based scholarship with a focus on improving health and healthcare decision-making through health information technology.
Dr. Masino and his team research the application and development of machine learning methods to inform basic scientific discovery and the creation of predictive analytic models for personal health and clinical decision support.
Dr. Huang works on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data. She also works on data integration in Clinical Research Networks.
As a bioengineer, Dr. Arbogast's research focuses on pediatric injury biomechanics, injury causation and the effectiveness of safety products for children with a concentration in the safety of children and youth in motor vehicle crashes as well as pediatric concussion.