Our research in health and bioinformatics is concerned with improving access, quality, outcomes, and efficiency of health care through the design and application of health information technologies, and developing and applying methods and tools for the analysis, interpretation, modeling, and visualization of complex biological data. Specifically, we explore opportunities to improve the human condition through novel applications, including creating methods and tools for the integrative analyses of electronic health records, analyzing data for predictive and causal modeling of health outcomes, designing and evaluating personal and mobile health applications for real time monitoring, and machine learning to improve health services delivery, among many others.
Health and Bioinformatics
Research Labs and Centers
The Artificial Intelligence Research Laboratory conducts research in artificial intelligence, machine learning, data mining, information integration, and semantic web. Its projects explore applications in bioinformatics, engineering informatics, cheminformatics, materials informatics, social informatics, and related areas.
The Center for Big Data Analytics and Discovery Informatics aims to accelerate advances in a number of fields by addressing the challenges in data management, data integration, data analytics, and predictive modeling and simulation to realize the full potential of big data. Our researchers seek to understand how scientists, decision makers, and the public at large can use this wealth of information to drive not only scientific discovery but also decisions and policies.
The Wellbeing & Health Innovation Laboratory aims to develop novel human-computer interaction and UbiComp technologies to improve health and wellbeing at scale. Our research leverages mobile phones, sensors, and online data to passively model health behaviors and contexts. We also design data-driven and just-in-time interventions with a focus on sustained engagement. Our interdisciplinary research includes passive sensing of sleep and circadian disruption, relapse detection in bipolar disorder, and using Amazon Alexa for effective PTSD interventions.