Pre-Doctoral Training Program in Computational Medicine

The Pre-Doctoral Training Program in Computational Medicine, funded by the National Institute of General Medical Sciences under Award Number T32GM119998, supports selected trainees from the departments of Biomedical Engineering and Applied Mathematics & Statistics.

Students chosen for this Ruth L. Kirschstein National Research Service Award institutional training grant will learn through a combination of focused coursework and dissertation research alongside computational medicine training program faculty mentors from across the Johns Hopkins Whiting School of Engineering and the School of Medicine. The program is designed to prepare graduates to fill the growing need for researchers trained in computational medicine in both industry and academia.

Trainees will be part of an exceptional and distinctive community of students and faculty exploring the possibilities of computational medicine. Trainees will learn how to develop models of biological systems in health and disease, constrain these models using data collected from patients, and apply models to deliver improved diagnoses and therapies.

Prospective trainees should apply to the PhD programs of the Departments of Biomedical Engineering or Applied Mathematics and Statistics, indicating an interest in pursuing predoctoral training in Computational Medicine.

Program Milestones

Year One

By the end of the first year, trainees will complete the following:

  1. Introduction to Computational Medicine: Imaging (EN.580.631) and
  2. Introduction to Computational Medicine: Physiome (EN.580.633) and
  3. One of the following:
    • Foundations of Computational Biology & Bioinformatics II (EN.580.688)
    • Computational Molecular Medicine (EN.553.650)
    • Computational Genomics: Data Analysis (EN.601.648)
    • Computational Genomics: Applied Comparative Genomics EN.601.749)
    • Advanced Topics in Genomic Data Analysis EN.580.743)
  4. Advanced Seminars in Computational Medicine (EN.580.735)
  5. Responsible Conduct of Research (AS.360.625)
  6. Required home department course work
  7. At least one but no more than three CM research rotations in a laboratory of Training Program Faculty
  8. Choose a research mentor from the Training Program Faculty

Year Two

By the end of the second year, trainees will complete:

  1. One clinical experience in the laboratory of a clinician-researcher who works with patient data
  2. Dissertation research
  3. Graduate Board Oral (GBO) examination

Year Three and Beyond

  1. Dissertation research
  2. Thesis Proposal (≤ 30 months from matriculation)
  3. Participate in planning periodic Computational Medicine conference (optional)
  4. Thesis Defense (≤ 60 months from matriculation)

Additional Requirements

Each year in the program, trainees will attend the CM Journal Club, the Distinguished Seminars in Computational Medicine, the annual ICM Retreat and will complete coursework and requirements of their home department.

JHU - Institute for Computational Medicine