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University research directory
Research labs at
Johns Hopkins University.
Compare 5 listed faculty-led profiles, explore their research interests, and follow the evidence in their selected work. These listings are a starting point for discovery and do not establish recruiting availability.
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Review each lab’s official website and recent publications. Compare the methods used, the questions being asked, and the practical requirements of any published opening. Unclaimed profiles are independently curated; the university has not approved or endorsed them.
How to compare research labs ↗Official university website ↗5 research-led lab profiles
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Independently curated · UnclaimedAlexis Battle Research Group
Johns Hopkins University
Alexis Battle · Wu and Zhang Professor
How does genetic variation in noncoding DNA alter molecular phenotypes across human tissues? The group analyzes large-scale genomic sequencing data to study how genetic differences contribute to gene regulation and disease outcomes. The lab develops computational biology tools, statistical methods, and machine learning strategies to predict the effects of variation in noncoding DNA sequences. Researchers at the Battle Lab build integrative genomic networks and apply them to problems such as autism and rare Mendelian disease variant prediction. The lab also evaluates and predicts the impact of personal genomics and rare genetic variants to improve diagnosis of rare diseases.
Andrew P. Feinberg Research Group
Johns Hopkins UniversityAndrew P. Feinberg · Bloomberg Distinguished Professor
How can changes in DNA regulation alter disease risk without changing the underlying genetic sequence? The group studies interactions between genes, environmental conditions and epigenetic mechanisms in cancer, aging and neuropsychiatric illness. Researchers develop molecular and statistical tools for examining epigenetic patterns across entire genomes. Laboratory and computational approaches investigate responses to environmental stress and the inheritance of regulatory states. The research also examines epigenetic variability in cancer progression, including how changing regulatory patterns can help tumor cells adapt to their host environment.
Elisseeff Lab
Johns Hopkins UniversityJennifer Elisseeff · Professor
Can the immune system help injured tissues repair themselves when guided by carefully designed biomaterials? The group studies regenerative immunology, investigating how adaptive immune responses participate in tissue repair. Researchers compare immune and stromal environments in wounds that heal, wounds that do not heal and tumors. Biomaterials serve as tools for modeling and changing these tissue environments. The work also examines how aging, senescent cells, sex differences and infection or microbial influences affect repair and tissue maintenance, connecting material design with the biology of healing.
Gregory Bowman Research Group
Johns Hopkins UniversityGregory Bowman · Professor
How do molecular motors rearrange the DNA packaging that controls access to genetic information? The group investigates chromatin remodelers, proteins that use energy from ATP to reposition nucleosomes. These small structures wrap DNA around histone proteins, making reorganization essential when cells need access to particular sequences. Research examines the mechanisms of the remodeling motors and how their activity is regulated. A central question is how additional protein domains communicate with the motor to select nucleosome substrates and produce different remodeling outcomes.
Mark Dredze Research Group
Johns Hopkins UniversityMark Dredze · John C. Malone Professor
How can natural language processing of social media and clinical text detect and monitor public health outcomes in real time? The group develops artificial intelligence systems that apply statistical models of language to social media analysis for public health surveillance. Researchers design and evaluate statistical methods for information extraction addressing syntax, semantics, sentiment, and spoken language processing tasks. They build new clinical natural language processing methods to analyze medical records for applications in clinical informatics and medicine. Applications studied include tobacco control, vaccinations, infectious disease surveillance, mental health, drug use, and gun violence prevention using AI-based language models.
Showing 1–5 of 5 labs