Research Focus: Artificial intelligence in heart transplantation, mechanical circulatory support as a bridge to heart transplantation, and quantitative imaging of cardiac sarcoidosis by cardiac MRI

Research Focus: Applications of brain connectivity and machine learning based on neuroimaging and electrophysiological methods in diagnostic and treatment of patients with epilepsy, Alzheimer's disease, and other neurological conditions.

Research Focus: Develop tools for intelligent human-centered health care that delivers optimized care tailored to a patient’s “personal clinical profile” using digital data

Research Focus: Developing the evidence to guide healthcare policy decisions and innovative interventions to reduce the burden of cancer and other chronic diseases using diverse data sources and AI technology

Research Focus: Mathematical data science applications to patient stratification and outcomes research, graph theory in image analysis and signal transduction modeling, quantitative analysis of scientific research output, and mathematical and statistical software development

Research Focus: Fundamental elucidation of cellular metabolism through computational models using both continuous and discrete frameworks with mechanistic and canonical formulations

Research Focus: Simulation in healthcare, healthcare equipment, and the promotion of patient safety through enhancement of learning and improved equipment design

Research Focus: Computational and mathematical systems biology with applications to human health

Research Focus: Development of novel machine learning and artificial intelligence techniques to accelerate risk factor identification and discovery in medicine using EHR data

Research Focus: Data science focusing on machine learning to augment personalized, patient-centered decision-making

Research Focus: Applied artificial intelligence and wearable technology in health care

Research Focus: Phenotyping and prediction models utilizing large electronic health records data

Research Focus: Simulation, team performance, patient safety, and human factors

Research Focus: Computational epidemiology, biohealth informatics, artificial intelligence, viral-bacterial diseases

Research Focus: Artificial intelligence, bioinformatics, machine learning, electronic health records, machine learning for predictive analytics, and patient phenotyping

Research Focus: Molecular epidemiology, intra-host viral evolution, and the application of phylogenetic and population genetic methods to the study of human and simian pathogenic viruses as well as automated bioinformatic and machine learning pipelines for the analysis of large sequence data sets (big data)

Research Focus: Computational fusion of diverse spatial -omics data while focusing on diabetic kidney disease

Research Focus: Developing and applying mathematical modeling and deep learning methods in medical image analysis to improve patient care

Research Focus: Determining which combinations of health care delivery, community, and patient factors influence quality and outcomes of care; developing and testing corresponding evidence-based strategies to reduce disparities in health outcomes among underserved populations

Research Focus: Applications of artificial intelligence and deep learning for enhanced clinical decision support using electronic health records data

Research Focus: Developing innovative computational methods and graph-based artificial intelligence algorithms to decipher disease mechanisms and identify therapeutic biomarkers

Research Focus: Understanding the molecular events connecting complex carbohydrates to cellular metabolism, signaling, and physiology, with a strong emphasis on disease etiology of neurological disorders while using AI applications

Research Focus: Artificial intelligence applications in urology, medical imaging radiomics, laser lithotripsy, metabolic stone disease, and the development and testing of novel medical devices

Research Focus: Using artificial intelligence to better understand how perioperative factors and care delivery pathways influence postoperative outcomes

Research Focus: Studying the pathogenesis of microsatellite repeat diseases, studying the basics of how RNA is processed and localized in cells in tissues and combining insights made in both of those areas to develop treatments for people with these diseases using computational approaches

Research Focus: Exploring deep brain stimulation from multiple facets including structural and functional connectivity, tractography/ connectomics, electrophysiology, and computational bioinformatics

Research Focus: Natural language processing (NLP), machine learning, computational drug repurposing, and applications of artificial intelligence (AI) technologies to electronic health records for clinical and translational research

Research Focus: Development and application of novel and applicable statistical methods for real data problems arising from modern genetics and genomics data, such as single-cell sequencing, spatial multi-omics datasets

Research Focus: Developing integrative, fair and interpretable approaches that can effectively mine insights from big health data (e.g., electronic medical records, claims, medical images), and applying the mined knowledge to disease subtyping, predictive modeling and drug repurposing

Research Focus: Neuroimaging and neurobehavioral data, spanning both normative development and a range of conditions from autism to traumatic brain injury

Research Focus: Big network data, cybersecurity, cloud computing; awarded NIH grant for AI-powered medical research

Research Focus: Mathematical modeling of stochastic systems in healthcare; focuses on public health decision-making

Research Focus: Big data analytics, brain informatics, medical image analysis; advancing preventive dementia care using AI

Research Focus: Bioinformatics, computational biology; focuses on indexing sequence and protein structure databases, sequence alignment, and computational analysis of biological pathways

Research Focus: Networks, combinatorial optimization, algorithms, computational biology

Research Focus: Computational biology, bioinformatics; focuses on developing computational methods to understand complex biological systems

Research Focus: Sensorimotor integration, computational and systems neuroscience, brain-machine interfaces

Research Focus: Neuroengineering, reliable high-performance neural interfaces, biological micro/nano-electro-mechanical systems (BioMEMS/NEMS)

Research Focus: Data analytics and machine learning applied to manufacturing, agriculture, and healthcare

Research Focus: Quality engineering, machine learning, and statistics with applications in healthcare systems

Research Focus: Stochastic modeling, analysis, and design of healthcare systems; data analytics in healthcare

Research Focus: AI and optimization for medical decision-making

Research Focus: Machine learning, pattern recognition, remote sensing, artificial intelligence, image processing

Research Focus: Mathematical modeling of stochastic systems in healthcare; focuses on public health decision-making

Research Focus: Bridging AI/ML and patient care; Director of Intelligent Clinical Care Center (IC3)

Research Focus: Digital health, edge computing, Internet of Things, pervasive and mobile computing