To ensure that your application is reviewed by those who can best evaluate your research contributions and potential, please review the information below and choose your research area carefully before submitting your application.
The PhD admissions process is led by committees based on the department’s seven core research areas. A description of our research areas can be found here. Each application is reviewed by one or more application review committees based on the core research area chosen by the applicant in the Program Details section of the online application.
Members of the application review committees for each research area are listed below. Please note that these committee members are subject to change; participating members may vary from year-to-year, and participation on the committee does not guarantee that a faculty member will be accepting students during the current admissions cycle. We suggest that you contact any faculty members with whom you are interested in working to learn more about potential opportunities in their labs.
Before choosing your core research areas on your application, please review the committees below to find faculty of interest. Be sure to indicate the corresponding research areas on your application in the Program Details section.
Biomedical Data Science
Biomedical Data Science faculty and students extract knowledge from biomedical datasets of all sizes to understand and solve health-related problems.
Research topics include:
- Artificial Intelligence Theory & Algorithms
- Biomarker Discovery
- Biomedical Data Science
- Computer Vision
- Human Modeling and Simulation (Digital Twins)
- Interpretability and Auditing in Machine Learning
- Inverse Problems
- Machine Learning
- Pattern Recognition
- Precision Medicine
- Single-cell and Spatial Omics
- Statistical Modeling
- Dynamical systems
- Biomedical shape analysis
- Methods for processing and visualizing big data
Learn more about our research in Biomedical Data Science.
Participating Biomedical Data Science Faculty
Computational Medicine
Computational Medicine faculty and students generate solutions in personalized medicine by building and utilizing computational models of health and disease.
Research topics include:
- AI/ML in Medicine
- Computational Anatomy
- Computational Biology
- Computational Genomics
- Computational Healthcare
- Computational Medicine
- Computational Neuroscience
- Computational Oncology
- Decision-Making in Medicine
- Estimation and Control theory
- Human Modeling and Simulation (Digital Twins)
- Multiscale Modeling in Biology/Medicine/Physiology
- Precision Medicine
- Precision Medicine Analytics
- Single-cell and Spatial Omics
- Systems Biology
- Systems Physiology
Learn more about our research in Computational Medicine.
Participating Computational Medicine Faculty
Genomics and Systems Biology
Genomics & Systems Biology faculty and students create tools to understand the multi-scaled genetic, molecular, and cellular components of disease.
Research topics include:
- Artificial intelligence
- Bioinformatics
- Comparative connectomics
- Comparative genomics
- Comparative transcriptomics
- Computational methods
- Computational modeling
- Computational regulatory genomics
- CRISPR
- DNA sequence analysis
- Epigenetics
- Evolutionary genomics
- Gene finding and annotation
- Gene regulation
- Genetic regulatory networks
- Genetic Variation
- Human Modeling and Simulation (Digital Twins)
- Machine Learning
- Metagenomics
- RNA therapeutics
- Sequencing technology
- Single-cell omics
- Spatial Omics
- Synthetic biology
- Transcriptome assembly
Learn more about our research in Genomics & Systems Biology.
Participating Genomics & Systems Biology Faculty
Imaging and Medical Devices
Imaging & Medical Devices faculty and students build new imaging technologies to improve disease diagnosis and guide clinical procedures.
Research topics include:
- Artificial Intelligence in Medical Imaging
- Bio-MEMS
- Biomedical Imaging
- Computational Imaging
- Functional Brain Imaging
- Human Modeling and Simulation (Digital Twins)
- Implants
- Interventional Imaging and Guidance
- Magnetic Resonance Imaging
- Medical Devices
- Medical Image Analysis
- Medical Robotics
- Micro- and nano-biotechnologies
- Microfluidics
- Nuclear Medicine
- Optics and Microscopy
- Prosthetics and Rehabilitation Medicine
- Quantitative Imaging and Radiomics
- Signal and Image Processing
- Wearable Technology
- X-ray Imaging and CT
- Inverse Problems
Learn more about our research in Imaging & Medical Devices.
Participating Imaging & Medical Devices Faculty
Immunoengineering
Immunoengineering faculty and students harness the power of the immune system to treat diseases such as cancer and promote tissue regeneration for improved healing and repair.
Research topics include:
- Autoimmune models
- Biomimetic materials
- Cancer
- Cancer immuno-therapy
- Computational immunoengineering
- Gene therapy
- Host defense
- Immuno-oncology
- Immunology and aging
- Immunotherapy
- Infectious disease models
- Molecular Engineering
- Molecular Immunology
- Protein Engineering
- Regenerative immunology
- Structural immunology
- Systems immunology
- Targeted drug development
- Therapeutic antibody discovery
- Vaccines
Learn more about our research in Immunoengineering.
Participating Immunoengineering Faculty
Neuroengineering
Neuroengineering faculty and students apply innovative experimental and data-driven approaches to understand, diagnose, and treat disorders of the brain.
Research topics include:
- Behavior
- Brain-Computer Interfaces
- Computational Neuroscience
- Decision Making
- High-throughput neuroanatomy
- Motor neuroscience
- Multisensory integration
- Neural Circuits
- Neural Development
- Neural implants
- Neuro-AI
- Neuroimaging
- Neurological diseases
- Neurophotonics
- Neurophysiology
- Neuroplasticity
- Sensory neuroscience
- Neurons
- Neural engineering
- Neural prosthetics
- Neuromodulation
- Neural decoding
- Neurostimulation
- Electrophysiology
- Neural signal processing
- Neural interfaces
- Bioelectronic medicine
- Brain-machine interfaces
- Neurotechnologies
- Closed-loop neuromodulation
- Functional electrical stimulation (FES)
- Spinal cord stimulation
- Deep brain stimulation (DBS)
- Optogenetics
- Neuroinformatics
- Neurorehabilitation
- Neural modeling
- Neural dynamics
- Cortical implants
- Peripheral nerve interfaces
- Neural recording
- Motor control
- Sensory feedback
- Brain mapping
- Cognitive neuroscience
- Systems neuroscience
- Translational neuroscience
- Neural data science
- Multi-electrode arrays
- Microstimulation
- Brain mapping
- Connectomics
- Neurogenetics
Learn more about our research in Neuroengineering.
Participating Neuroengineering Faculty
Translational Cell and Tissue Engineering
Translational Cell & Tissue Engineering faculty and students develop and translate advanced technologies to enhance and restore function at the molecular, cellular, and tissue levels.
Research topics include:
- 3D tissue models
- Angiogenesis
- Biomaterials
- Cancer
- Clinical Trials
- Diagnostics
- Drug and Cell Delivery
- Mechanobiology
- Medical devises
- Nanobiotechnology
- Organoid tissue engineering
- Organs-on-chips
- Personalized Medicine
- Precision Medicine
- Regenerative Medicine
- Stem cells
- Tissue engineering
- Tissue remodeling
- Translational Medicine
- Vaccines
Learn more about our research in Translational Cell & Tissue Engineering.
Participating Translational Cell & Tissue Engineering Faculty
Explore Your Options
Planning to apply to the Johns Hopkins BME PhD program? Use the links below to learn more about our faculty and research, and find labs that might be a good fit for your interests.