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Undergraduate Focus Areas & Courses

Biomedical Data Science

Our academic and research programs in Biomedical Data Science center on developing new data analysis technologies in order to understand disease mechanisms and provide improved health care at lower costs.

Our curriculum in Biomedical Data Science trains students to extract knowledge from biomedical datasets of all sizes in order to understand and solve health-related problems. Students collaborate with faculty throughout the schools of Medicine and Engineering to develop novel cloud-based technologies and data analysis methods that will improve our ability to diagnose and treat diseases.

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Computational Medicine

Computational Medicine aims to advance healthcare by developing computational models of disease, personalizing these models using data from patients, and applying these models to improve the diagnosis and treatment of disease. We are using these patient models to discover novel risk biomarkers, predict disease progression, design optimal treatments, and identify new drug targets for applications such as cancer, cardiovascular disease, and neurological disorders.

Our curriculum in Computational Medicine bridges biology with mathematics, engineering, and computational science. Students develop new solutions in personalized medicine by building computational models of the molecular biology, physiology, and anatomy of human health and disease.

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Genomics & Systems Biology

Genomics & Systems Biology connects the information in our genome and epigenome to the function of biological systems, from cells to tissues and organs. We are developing new computational and experimental methods for systematic analysis of genomes, building models that span length and time scales, and using synthetic biology to design new biomedical systems for human health applications.

Our curriculum spans the fields of engineering, computer science, biology, and biostatistics. Students develop tools to understand the genetic, molecular, and cellular behaviors that cause disease.

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Imaging & Medical Devices

Imaging & Medical Devices involves the measurement of spatial and temporal distributions and signals over scales ranging from molecules and cells to organs and whole populations. Combining mathematics, physics, and biological systems with engineering of new devices and computational algorithms, our academic and research programs in Imaging & Medical Devices center on new technologies and data-intensive analysis, including:

  • Imaging Technology: Optical, X-ray, CT, MRI, ultrasound, and molecular imaging
  • Image Analysis: Image registration and reconstruction, and extraction of knowledge from image data
  • Novel Medical Devices: Broad range of diagnostic and therapeutic devices driven by clinical need.

Our curriculum in Imaging & Medical Devices spans mathematical fundamentals, physics of imaging technologies, device design and development based on clinical needs, and computational techniques for image processing and analysis. In addition to learning about real clinical systems and data types – including hands-on experience – students learn data analysis, modeling, and computer simulation methods.

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Immunoengineering harnesses the power of the immune system to treat diseases such as cancer and promote tissue regeneration and healing.

Our curriculum trains students in immunoengineering at the molecular, cellular, and systems levels. Particular emphasis is placed on novel materials and methods to harness the body’s immune system to fight disease, and to promote tissue repair and healing. Students develop new biomaterials, vaccines, therapeutics, and systems to understand immune cell function and guide immune cell behavior.

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Neuroengineering comprises fundamental, experimental, computational, theoretical, and quantitative research aimed at understanding and augmenting brain function in health and disease across multiple spatiotemporal scales.

Our curriculum in Neuroengineering trains students to develop and apply new technologies to understand and treat neurological disorders. Students build tools to define, control, enhance, or inhibit neural networks in precise spatial and temporal domains.

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Translational Cell & Tissue Engineering

Translational Cell & Tissue Engineering develops and translates advanced technologies to enhance or restore function at the molecular, cellular, and tissue levels. Hopkins BME is leading an effort in translational cell and tissue engineering that bridges discovery, innovation, and translation through basic science, engineering, and clinical endeavors.

Our curriculum spans a variety of novel methods that harness the power of cells, materials, and advanced therapeutics to promote tissue repair and to treat disease. Students develop new techniques and biomaterials to guide cell behavior and reconstruct damaged tissues and organs.

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