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.
By the end of the first year, trainees will complete the following:
By the end of the second year, trainees will complete:
Year Three and Beyond
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.