The Li Gao Lab researches functional genomics, molecular genetics and epigenetics of complex cardiopulmonary and allergic diseases, with a focus on translational research applying fundamental genetic insight into the clinical setting. Current research includes implementation of high-throughput technologies in the fields of genome-wide association studies (GWAS), massively parallel sequencing, gene expression analysis, epigenetic mapping and integrative genomics in ongoing research of complex lung diseases and allergic diseases including asthma, atopic dermatitis (AD), pulmonary arterial hypertension, COPD, sepsis and acute lung injury/ARDS; and epigenetic contributions to pulmonary arterial hypertension associated with systemic sclerosis.

In the Lee Martin Laboratory, we are testing the hypothesis that selective vulnerability--the phenomenon in which only certain groups of neurons degenerate in adult onset neurological disorders like amyotrophic lateral sclerosis and Alzheimer's disease--is dictated by brain regional connectivity, mitochondrial function and oxidative stress. We believe it is mediated by excitotoxic cell death resulting from abnormalities in excitatory glutamatergic signal transduction pathways, including glutamate transporters and glutamate receptors as well as their downstream intracellular signaling molecules. We are also investigating the contribution of neuronal/glial apoptosis and necrosis as cell death pathways in animal (including transgenic mice) models of acute and progressive neurodegeneration. We use a variety of anatomical and molecular neurobiological approaches, including neuronal tract-tracing techniques, immunocytochemistry, immunoblotting, antipeptide antibody production, transmission electron microscopy and DNA analysis to determine the precise regional and cellular vulnerabilities and the synaptic and molecular mechanisms that result in selective neuronal degeneration.

The Mathioudakis lab is focused on developing and evaluating clinical decision support systems, technology, and mHealth for diabetes prevention and management. Our lab leverages large electronic medical record databases and uses machine learning algorithms and artificial intelligence to identify patterns in clinical care associated with optimal clinical outcomes. We are interested in understanding the role that advanced diabetes technologies can play in improving health outcomes for patients with diabetes. Our lab has published extensively on outcomes related to diabetes prevention and diabetes management and outcomes. Based on data from our long-term (over 10 year) clinic-based prospective cohort study from the Johns Hopkins Multidisciplinary Diabetic Foot and Wound Clinic, we have published extensively on clinical predictors and outcomes of patients with diabetic foot ulcers, focusing specifically on the role that glycemic control plays in patients with this complication. Healthcare disparities exist throughout medicine, but are particularly prominent in diabetes; our lab has evaluated healthcare inequities in diabetes outcomes and is developing and evaluating strategies to overcome them. In addition to identify optimal management approach to diabetes and its complications, our lab is interested in development and evaluation of innovative technology approaches to diabetes prevention.

Our laboratory pioneers innovations at the intersection of precision neurology, neuroengineering, artificial intelligence, and data science. We develop advanced neural-AI interfaces, autonomous wearable neurotechnologies, and immersive augmented and virtual reality platforms incorporating novel multimodal neuron-sensing technologies designed to personalize diagnostics, enhance therapeutic interventions, and optimize neurological rehabilitation. Leveraging computational neuroscience, AI, and applied data science, we generate robust digital biomarkers to monitor and treat neurologic diseases in real-time. Through interdisciplinary collaborations, we aim to transform clinical practice by providing precise, interactive, and personalized neurologic care that dramatically improves patient outcomes.

The Tom Woolf Lab studies the quarter of the genome devoted to membrane proteins. This rapidly growing branch of bioinformatics, which includes computational biophysics, represents the main research direction of our group. We aim to provide insight into critical issues for membrane systems. In pursuit of these goals, we use extensive computer calculations to build an understanding of the relations between microscopic motions and the world of experimental measurements. Our calculations use our own Beowulf computer cluster as well as national supercomputer centers. An especially strong focus has been on the computed motions of proteins and all-atom models of the lipid bilayers that mediate their influence. To compute these motions, we use the molecular dynamics program CHARMM. We hope to use our understanding of the molecular motions for the prediction of membrane protein structures using new computational methods.

Wilmer Bioinformatics has been mainly focused on ocular informatics. Specifically, the group develops and applies bioinformatics approaches to study gene regulation and signaling networks, with particular but not exclusive attention to the mammalian retina. Understanding the molecular basis of tissue specific gene regulation and signaling will contribute to better prevention, diagnosis and treatment of retinal disease.

I am a primary care doctor and public health researcher committed to improving women’s health and health care across their lives and improving gender and racial equity.

I am an Associate Professor of Medicine in The Johns Hopkins University School of Medicine, Division of General Internal Medicine. My research focuses on identifying strategies to prevent and manage obesity and type 2 diabetes and cardiovascular disease, particularly among women at highest risk due to pregnancy complications. I conduct pragmatic and community-based randomized controlled trials to test high impact and scalable strategies to reduce excessive weight gain in pregnancy, reduce postpartum weight retention and cardiometabolic risk.

I hold several leadership positions, and I am the Director of Research at Johns Hopkins Community Physicians, the Co-Director of the Johns Hopkins Center for Women’s Health, Sex and Gender Research and a Core Faculty Member of the Welch Center for Prevention, Epidemiology and Clinical Research.

Research in the Elizabeth Tucker Lab aims to find treatments that decrease neuroinflammation and improve recovery, as well as to improve morbidity and mortality in patients with infectious neurological diseases. We are currently working with Drs. Sujatha Kannan and Sanjay Jain to study neuroinflammation related to central nervous system tuberculosis – using an animal model to examine the role of neuroinflammation in this disease and how it can differ in developing brains and adult brains. Our team also is working with Dr. Jain to study noninvasive imaging techniques for use in monitoring disease progression and evaluating treatment responses.