The Biomedical Engineering Doctoral training program at the Johns Hopkins University aims to train talented students from engineering and other quantitative sciences for careers in biological and medical research. The program is interdisciplinary and interdepartmental in nature. Program faculty are drawn from a wide range of departments. This includes but is not limited to the departments of Biomedical Engineering, Neuroscience, Otolaryngology-Head and Neck Surgery, and Radiology in the School of Medicine, and the departments of Applied Mathematics and Statistics, Chemical and Biomolecular Engineering, Electrical and Computer Engineering, Material Science and Engineering and Mechanical Engineering in the Whiting School of Engineering. The faculty are engineers, applied mathematicians, neuroscientists, physiologists, cell biologists, and molecular biologists with both experimental and theoretical/computational research programs. A unique aspect of the program is that students are free to do research in any laboratory of the University, subject to program approval. Support is requested for 12 pre-doctoral trainees. The usual duration of the program is 5-6 years. Students are drawn mainly from engineering schools, although they also come from mathematics, physics, chemistry, and biology. Program coursework includes graduate level courses in life sciences plus advanced courses in engineering, mathematics, and biology. The core of the program is research training in the research laboratories of the Program faculty.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM007057-34
Application #
7488534
Study Section
National Institute of General Medical Sciences Initial Review Group (BRT)
Program Officer
Cole, Alison E
Project Start
1975-07-01
Project End
2010-06-30
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
34
Fiscal Year
2008
Total Cost
$495,217
Indirect Cost
Name
Johns Hopkins University
Department
Biomedical Engineering
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Li, Xin; Kim, Yungil; Tsang, Emily K et al. (2017) The impact of rare variation on gene expression across tissues. Nature 550:239-243
Masica, David L; Dal Molin, Marco; Wolfgang, Christopher L et al. (2017) A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts. J Am Med Inform Assoc 24:145-152
Rettig, Eleni M; Talbot Jr, C Conover; Sausen, Mark et al. (2016) Whole-Genome Sequencing of Salivary Gland Adenoid Cystic Carcinoma. Cancer Prev Res (Phila) 9:265-74
Tokheim, Collin; Bhattacharya, Rohit; Niknafs, Noushin et al. (2016) Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure. Cancer Res 76:3719-31
Zile, Melanie A; Trayanova, Natalia A (2016) Rate-dependent force, intracellular calcium, and action potential voltage alternans are modulated by sarcomere length and heart failure induced-remodeling of thin filament regulation in human heart failure: A myocyte modeling study. Prog Biophys Mol Biol 120:270-80
Osborn, Luke; Kaliki, Rahul; Soares, Alcimar et al. (2016) Neuromimetic Event-Based Detection for Closed-Loop Tactile Feedback Control of Upper Limb Prostheses. IEEE Trans Haptics 9:196-206
Bruegmann, Tobias; Boyle, Patrick M; Vogt, Christoph C et al. (2016) Optogenetic defibrillation terminates ventricular arrhythmia in mouse hearts and human simulations. J Clin Invest 126:3894-3904
Rabbitt, Richard D; Brichta, Alan M; Tabatabaee, Hessam et al. (2016) Heat pulse excitability of vestibular hair cells and afferent neurons. J Neurophysiol 116:825-43
Day, Kevin A; Roemmich, Ryan T; Taylor, Jordan A et al. (2016) Visuomotor Learning Generalizes Around the Intended Movement. eNeuro 3:
Pienaar, Elsje; Matern, William M; Linderman, Jennifer J et al. (2016) Multiscale Model of Mycobacterium tuberculosis Infection Maps Metabolite and Gene Perturbations to Granuloma Sterilization Predictions. Infect Immun 84:1650-1669

Showing the most recent 10 out of 66 publications