Research opportunities for PhD students
Research is a cornerstone of the BME PhD program. Students are expected to select a research laboratory prior to their second year. Emphasis is placed on original research — leading to their doctoral dissertation.
All students are admitted with full fellowship that covers tuition, and provides a modest stipend for the duration of their PhD. Because students are fully funded, they can choose to perform their dissertation in essentially any laboratory in the University (subject to the approval of the program directors). A special program with the NIH Heart, Lung and Blood Institute (NHLBI) allows students to also choose from research laboratories at the NIH.
Students typically do research rotations during the summer before start of the first academic semester, during the first year (typically as they are taking medical school courses), and during the following summer year. They are expected to choose a research laboratory before the start of the second academic year.
Emphasis is placed on original research leading to the doctoral dissertation. The research is usually experimental in nature, and students are expected to learn biological experimental techniques; nevertheless, experiment or theory can be emphasized in the research as desired by the student.
Research and Training Areas
Browse through the research section for details about each of these exciting areas.
Biomedical Data Science
Biomedical Data Science involves the analysis of large-scale biomedical datasets to understand how living systems function. Our academic and research programs in Biomedical Data Science focus on developing new data analysis technologies that allow us to understand disease mechanisms and pave the way for better, more affordable healthcare.
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.
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 the 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.
Imaging & Medical Devices
Imaging & Medical Devices focuses on developing and applying new tools to address clinical needs. Many of these tools involve measuring signals over a range of temporal and spatial distributions and scales, from molecules and cells to organs and whole populations. Our academic and research programs in Imaging & Medical Devices combine mathematics, physics, and biological systems with engineering and computational algorithms for technology creation and data-intensive analysis.
Immunoengineering harnesses the power of the immune system to treat diseases such as cancer and promote tissue regeneration and healing.
Neuroengineering comprises fundamental, experimental, computational, theoretical, and quantitative research aimed at understanding and augmenting brain function in health and disease across multiple spatiotemporal scales.
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.
Students typically do research rotations for one year — beginning in the summer prior to the first academic semester. Selection of a research laboratory is expected prior to the second academic year.