- Health policy | Health services research | Health informatics
Nate Apathy, PhD
- Health policy | Health services research | Health informatics
Dr. Nate Apathy, Assistant Professor of Health Policy & Management, studies how health information technology (IT) supports delivery and payment reform, how regulations shape IT innovation and use, and uses log data to assess IT’s impact on care quality. His current work examines IT‑related burden and ways to reduce it.
- Health services research | Infectious diseases | Epidemiology
Jonathan Baghdadi, MD, PhD
- Health services research | Infectious diseases | Epidemiology
Dr. Baghdadi is an infectious disease physician, hospital epidemiologist, and health services researcher at the University of Maryland Medical Center – Midtown Campus. His clinical interests are infection prevention, antimicrobial stewardship, and early sepsis care. His research interests are diagnostic quality and safety, including diagnostic stewardship and diagnostic error.
- Marine microbial ecology | Infectious disease dynamics
Stephen Beckett, PhD
- Marine microbial ecology | Infectious disease dynamics
Dr. Beckett is a computational ecologist and quantitative biologist studying virus dynamics and ecology. His work spans marine microbial ecology, network science, and infectious disease modeling, using computational and mathematical methods. He also advocates for Open Science and scientific transparency.
- Pharmacology | Physiology
Daniel Bergman, PhD
- Pharmacology | Physiology
Dr. Bergman develops agent-based and mathematical models to investigate tumor-immune dynamics at the cell and tissue scale. His research integrates multiomics data to ground simulations in biological reality, with the goal of informing therapeutic interventions and advancing precision oncology.
- Population genomics | Bioinformatics
Victor Borda, PhD
- Population genomics | Bioinformatics
Dr. Borda’s research spans biogeographical regions from the Central Andes to the African Great Lakes, integrating archaeology, anthropology, and genetics to study how evolutionary and demographic forces shape human diversity. Dr. Borda examines Native American gene flow and uses statistical genetics to understand recent Latin American population dynamics.
- Health policy and management
Michel Boudreaux, PhD
- Health policy and management
- Maternal health | Intrapartum care
- Research informatics | Data science
- Computational psychophysiology | Algorithm development
- Corporate relations
Jordan Broutman
- Corporate relations
Jordan Broutman is the Director of Development for the University Corporate Relations (UCR) office. He works on strengthening and expanding campus-wide strategic corporate partnerships. The UCR office is responsible for expanding corporate gifts and grants that provide critical support to graduate education, faculty research, and priority campus initiatives.
- Epidemiology | Public Health | Psychiatry
Clayton Brown, PhD
- Epidemiology | Public Health | Psychiatry
- Biostatistics | Machine Learning | Data/Information integration
Chixiang Chen, PhD
- Biostatistics | Machine Learning | Data/Information integration
Dr. Chixiang Chen, an NIH‑funded Associate Professor of Biostatistics, works across theory and applied statistics. He collaborates in trials and studies using claims, EHR, imaging, and oncology data. His research advances methods for causal inference, data integration, clustering, longitudinal and missing data, and biological age.
- Health policy & management | Whole-person care | Health equity
Jie Chen, PhD
- Health policy & management | Whole-person care | Health equity
Dr. Jie Chen is Professor and Chair of the Department of Health Policy and Management at the University of Maryland School of Public Health. Her research incorporates artificial intelligence to examine system resilience, support caregivers, improve cost outcomes, and strengthen aging care.
- Biostatistics | Bioinformatics | Machine learning
Shuo Chen, PhD
- Biostatistics | Bioinformatics | Machine learning
Dr. Shuo Chen, an MPower Professor of Biostatistics and Bioinformatics, studies complex biomedical data, including neuroimaging, genetics, and omics graphs. He develops ML methods for individual‑level inference and collaborates widely across clinical, environmental, infectious disease, and cancer research.
- Population health | Healthcare disparities | Preventative medicine
- Head & neck cancer | Hematology/oncology
Kevin Cullen, MD
- Head & neck cancer | Hematology/oncology
Dr. Kevin Cullen is a leading head and neck oncologist and former director of the UM Greenebaum Cancer Center, which is ranked as one of the nation’s top cancer programs. His lab studies chemotherapy resistance, key biomarkers, and first identified racial survival disparities.
- Machine learning | Treatment outcomes | Medical physics
Warren D’Souza, PhD, MBA
- Machine learning | Treatment outcomes | Medical physics
- Maternal health | Health equity | Population health
Esa Davis, MD, MPH
- Maternal health | Health equity | Population health
Dr. Davis is a board‑certified family physician and NIH‑funded researcher focused on obesity‑related maternal and child health and comparative effectiveness in maternal health and tobacco use. Her work examines perinatal drivers of obesity and inequities affecting women’s long‑term cardiovascular health
- Cardiac biomarkers | Clinical trials | Proteomics
Christopher deFilippi, MD
- Cardiac biomarkers | Clinical trials | Proteomics
Dr. Christopher deFilippi, Professor of Medicine and Pathology, specializes in cardiac biomarker discovery, validation, and clinical application. He has 300+ publications, NIH and industry funding, and extensive experience leading biomarker trials and developing FDA‑cleared assays.”
- Medical Imaging (Radiology) | Translational AI | Digital Health Innovation
Florence Doo, MD
- Medical Imaging (Radiology) | Translational AI | Digital Health Innovation
Florence (Flo) Doo, MD, MA, CIIP, is an abdominal radiologist, clinical informaticist, and physician innovator. She directs innovation at UM2ii and co‑leads AI‑enabled imaging research at the UM‑IHC. Her work spans imaging, AI, informatics, education, and responsible clinical translation.
- Bioinformatics | Genome sciences
Najib El-Sayed, PhD
- Bioinformatics | Genome sciences
Najib M. El‑Sayed is a professor of cell biology and molecular genetics with an appointment in UMIACS. His research applies genomics and bioinformatics to study parasitism and host–pathogen interactions, aiming to improve diagnosis, prevention, and treatment of parasitic and bacterial diseases.
- Bioinformatics | Genome sciences
- Computer vision | Human vision | Robotics
Cornelia Fermuller, PhD
- Computer vision | Human vision | Robotics
Cornelia Fermüller is a research scientist in the UMIACS Computer Vision Lab. Her work spans computer and human vision, developing computational models for navigation, motion, and image processing. She studies visual motion, shape recovery, and builds cognitive robotic systems linking perception, action, and reasoning
- Computational oncology | Multi-omics | Predictive medicine
Elana Fertig, PhD
- Computational oncology | Multi-omics | Predictive medicine
- Epidemiology | GenAI | Machine learning
Katherine Goodman, JD, PhD
- Epidemiology | GenAI | Machine learning
- Health services research | Health policy | Maternal health
Rebecca Gourevitch, PhD
- Health services research | Health policy | Maternal health
- Mathematical modeling | Infectious diseases | Epidemiology
Abba Gumel, PhD
- Mathematical modeling | Infectious diseases | Epidemiology
Dr. Abba Gumel uses mathematical modeling, analysis, and data analytics to study the transmission and control of emerging infectious diseases. His work in nonlinear dynamical systems and population biology supports effective public‑health policy and advances computational epidemiology.
- Deep learning | Computer vision | Privacy & security
Junfeng Guo, PhD
- Deep learning | Computer vision | Privacy & security
Junfeng Guo is a postdoctoral associate at UMIACS working with Heng Huang. His research spans deep learning, computer vision, and privacy/security, focusing on improving AI systems’ security, privacy, and practical reliability.