Joanna Abraham, PhD, FACMI, FAMIA, is focused on improving collaborative practices in healthcare using principles and techniques from informatics to promote patient safety, quality and care continuity.
RESEARCH INTERESTS
- Handoffs
- Care Transitions
- Care Coordination
- Decision Making
- Health IT
- Medical Errors
- Mixed Methods
- Systematic Reviews
- Evidence Synthesis
Zachary Abrams, PhD, is focused on omics data and methods development.
RESEARCH INTERESTS
- Translational Biomedical Informatics
Chih-Hung Chang, PhD
Professor of Occupational Therapy, Medicine and Orthopaedic Surgery
chih-hung.chang@wustl.edu
Chih-Hung Chang, PhD, is focused on the integration of methodology and technology to advance clinical care, research and education.
RESEARCH INTERESTS
- Item response theory
- Rasch measurement
- Computerized adaptive testing
- Psychometrics
- Informatics
- Smart testing smart learning
- Health-related quality of life
- Patient-reported outcomes
- Clinical outcomes
- Shared decision making
- Quality improvement
Sabine M. Dietmann, PhD
Assistant Professor of Developmental Biology and Medicine, School of Medicine
sdietmann@wustl.edu
Sabine M. Dietmann, PhD, is focused on developing integrative multi-omics and machine learning techniques for single-cell data sets in developmental biology and medicine.
RESEARCH INTERESTS
- Bioinformatics
- Multi-omics
- Genomics
- Epigenetics
- Machine learning
Randi Foraker, PhD, MA, FAHA, FAMIA, FACMI
Director, Center for Population Health Informatics
Professor of Medicine, Division of General Medical Sciences
Professor of Public Health, Brown School
randi.foraker@wustl.edu
Randi Foraker, PhD, MA, FAHA, FAMIA, FACMI, is focused on applying epidemiology and informatics techniques to solve problems in the population health domain.
RESEARCH INTERESTS
- Approaches for the integration of socioeconomic and patient-reported outcome data with electronic health record data
- Interventional approaches to the use of electronic health records in order to address modifiable risk factors for disease and enable patient-centered decision making
- Study design methodology and data analysis
Dennis Goldfarb, PhD
Assistant Professor of Cell Biology and Physiology, School of Medicine
d.goldfarb@wustl.edu
Dennis Goldfarb, PhD, is focused on computational mass spectrometry and proteomics with the goal of achieving comprehensive protein identification and quantification in complex biological samples.
RESEARCH INTERESTS
- Novel data acquisition strategies achieved through programmatic control of a mass spectrometer
- Instrumentation and computational approaches for studying protein complexes
- Scalable infrastructure for high-throughput LC/MS data analysis
- Machine learning approaches to mass spectral analysis
- Biological experiments that require custom analysis methods
Aditi Gupta, PhD, is focused on clinical informatics, computational phenotyping, and integration of clinical and biomolecular phenotypes.
RESEARCH INTERESTS
- Clinical informatics
- Computational phenotyping
- Integration of clinical and biomolecular phenotypes
Mackenzie Hofford, MD
Associate Chief Research Information Officer, School of Medicine
Assistant Professor of Medicine Division of General Medicine School of Medicine
mhofford@wustl.edu
Mackenzie Hofford, MD, is interested in developing tools to help patients and physicians so that computers earn their place in exam rooms and at the bedside.
RESEARCH INTERESTS
- Clinical Research Informatics
- Clinical Data Structures
- Machine Learning
- Clinical Decision Support
Thomas Kannampallil, PhD, FAMIA
Associate Professor of Anesthesiology
Associate Professor of Computer Science and Engineering, School of Engineering and Applied Science
Associate Chief Research Information Officer, School of Medicine
thomas.k@wustl.edu
Thomas Kannampallil, PhD, FAMIA, is focused on integrating cognitive, behavioral, and computational informatics techniques for developing health information technology solutions in the areas of clinical decision support, clinical reasoning, and clinical workflow.
RESEARCH INTERESTS
- Clinical decision support applications for tracking, monitoring, and evaluating EHR-based activities such as medication/lab orders, decision-making for chronic care, and opioid management
- Tracking and analysis of medical errors in a variety of situations including medication orders, transitions of care, and clinical decision-making and evaluating its impact on clinical outcomes and patient safety
- Use of cognitive and human factors approaches for identifying behavioral, collaborative and workflow challenges in the design and use of health information technology
Albert M. Lai, PhD, FACMI, FAMIA
Deputy Director, Institute for Informatics, Data Science and Biostatistics (I2DB)
Chief Research Information Officer, School of Medicine
Professor of Medicine, Division of General Medical Sciences
Professor of Computer Science and Engineering, School of Engineering and Applied Science
amlai@wustl.edu
Albert M. Lai, PhD, FACMI, FAMIA, is focused on applying computer science and informatics techniques to solve problems in the clinical domain.
RESEARCH INTERESTS
- Clinical research informatics
- Clinical informatics
- Consumer health informatics
- Telemedicine
- Usability
- Natural language processing
- Mobile health
Daphne Lew, PhD, MPH, is focused on using sophisticated statistical methodologies to better understand the relationship between patient characteristics and health-related outcomes at the individual and population levels.
RESEARCH INTERESTS
- Methods to identify latent subgroups in a population based on patient characteristics or outcomes
- The relationship between social determinants of health and patient outcomes, disease progression, and other clinical characteristics
- Mental health and well-being of specific patient populations
Fuhai Li, PhD, is focused on applying statistical, machine learning, deep learning and data mining approaches on diverse biomedical dataset integration and interpretation, to solve the challenges in bioinformatics, systems biology and image informatics.
RESEARCH INTERESTS
- Integrative large-scale pharmaco genomics analysis for target, signaling network, drug and drug combination discovery
- Genomics data driven tumor-stromal communication discovery and modeling
Jing Li, MD, DrPH, MS
Director, Administrative Data Core Services
Associate Professor of Medicine, Division of General Medical Sciences
l.jing@wustl.edu
Jing Li, MD, DrPH, MS, is focused on implementing and sustaining complex health interventions in response to local contexts, as well as the generation and synthesis of knowledge.
RESEARCH INTERESTS
- Health and Healthcare Delivery Model
- Implementation Science
- Quality and Process Improvement
- Evidence-based Program Uptake and Adaptation
- Care Transitions / Coordination
- Teamwork
- Community Engagement
- Medical-Community Linkage
Sunny Lin, PhD, MS
Assistant Professor of Medicine, Division of General Medical Sciences
linsc@wustl.edu
Sunny Lin, PhD, MS, is focused on developing systems approaches to improve healthcare delivery for underserved and complex patient populations.
RESEARCH INTERESTS
- Impact of payment reform and innovative care delivery models on patient care
- Complex systems analysis of large secondary datasets to identify unintended consequences and inequities in the healthcare system
- Leveraging care delivery models and information technology to address health disparities
Andrew P. Michelson, MD
Assistant Professor of Medicine, Division of Pulmonary and Critical Care Medicine
amichels@wustl.edu
Andrew P. Michelson, MD, is a Pulmonary and Critical Care Medicine physician at Washington University School of Medicine in St. Louis and is the Director for Critical Care Informatics Research. His interests revolve around the direct application of emerging healthcare technologies and informatics tools within the hospital system to improve the delivery of precision care.
RESEARCH INTERESTS
- Interventional approaches to critical care medicine using artificial intelligence / machine learning to predict modifiable outcomes using electronic health record information
- Improving care quality through the evaluation and implementation of novel health information technologies within the hospital system and expanding the delivery of precision of medicine
Shamim A Mollah, PhD, is focused on applying network-based models on multi-omics data using machine-learning techniques to understand complex diseases at systems level.
RESEARCH INTERESTS
- Cancer systems biology
- Chromatin remodeling in cancer (histone modifications)
- Cancer subtyping
- Tumor microenvironment
- Targeting cancer stemness pathway in breast cancer
- Single-cell approaches to address tumor heterogeneity
- Pharmacodynamics & pharmacokinetics of anti-cancer drugs
- Biomarker discovery in cancer
- Cancer immunotherapy
- Modeling gene regulatory networks
- Genotype-phenotype correlation
- Natural language processing
Philip R.O. Payne, PhD, FACMI, FAMIA, FAIMBE, FIAHSI
Director, Institute for Informatics, Data Science and Biostatistics (I2DB)
Janet and Bernard Becker Professor
Associate Dean for Health Information and Data Science, School of Medicine
Chief Data Scientist, School of Medicine
- Email: prpayne@nospam.wustl.edu
Philip R.O. Payne, PhD, FACMI, FAMIA, FAIMBE, FIAHSI, is the founding director of the Institute for Informatics (I2) at Washington University in St. Louis, where he also serves as the Janet and Bernard Becker Professor and Professor of Computer Science and Engineering. Previously, Dr. Payne was Professor and Chair of the Department of Biomedical Informatics at The Ohio State University.
RESEARCH INTERESTS
- Cognitive computing and machine learning based approaches to the discovery and analysis of bio-molecular and clinical phenotypes and the ensuing identification of precision diagnostic and therapeutic strategies in cancer and other clinical conditions
- Interventional approaches to the use of electronic health records in order to address modifiable risk factors for disease and enable patient-centered decision making
- The study of human factors and workflow issues surrounding the optimal use of healthcare information technology
Beth Prusaczyk, PhD, MSW
Assistant Professor of Medicine, Division of General Medical Sciences
beth.prusaczyk@wustl.edu
Beth Prusaczyk, PhD, MSW, is interested in how to better translate research findings into real-world practice and policy.
RESEARCH INTERESTS
- Strategies to improve the implementation of evidence-based practices for older adults in the healthcare system
- The effect of interpersonal team dynamics on the implementation process
- The use of existing healthcare data and system science methods such as social network analysis to inform and speed the implementation process
Aristeidis Sotiras, PhD, is focused on developing and applying machine learning and image analysis techniques to extract and integrate relevant information from images and other clinical data toward improving patient-specific diagnosis and prognosis.
RESEARCH INTERESTS
- Biomedical image processing and analysis
- Machine learning
- Deep learning
- Computer vision
- Neuroimaging
- Imaging biomarkers of neurodegenerative and neuropsychiatric disorders
Adam Wilcox, PhD, FACMI
Director, Center for Applied Clinical Informatics
Professor of Medicine, Division of General Medical Sciences
a.wilcox@wustl.edu
Adam Wilcox, PhD, FACMI, is focused on clinical informatics.
RESEARCH INTERESTS
- Clinical informatics
Po-Yin Yen, PhD, RN, FACMI, FAMIA, FAAN
Associate Professor of Medicine, Division of General Medical Sciences
Associate Professor, Goldfarb School of Nursing, Barnes Jewish College
yenp@wustl.edu
Po-Yin Yen, PhD, RN, FACMI, FAMIA, FAAN, is focused on applied clinical informatics research to support clinicians adapting to health information technology.
RESEARCH INTERESTS
- Clinical informatics
- Usability
- Technology acceptance
- Human computer interaction
- Literature mining
- Data visualization
- Workflow analysis
- Time motion study
Linying Zhang, PhD, focuses on integrating traditional AI decision-making with causal inference techniques to create responsible AI systems and generate reliable real-world evidence from large-scale healthcare data, such as electronic health records.
Research interests:
- Development of heterogeneous and individualized treatment effect estimation algorithms for personalized treatment planning.
- Federated causal machine learning for treatment effect estimation across healthcare data networks.
- Investigating the root causes of disparities in care delivery and patient outcomes towards building an equitable healthcare system.
- Improving the reproducibility and reliability of real-world evidence generation.