Peter Charles Doerschuk
Peter Doerschuk's research concerns biological and medical systems from the view point of computational nonlinear stochastic systems. In particular, he has contributed to computational inverse problems for biophysics, statistical image processing, and biomedical and speech signal processing. In each of these areas, important goals of his work have been to incorporate accurate physical models while at the same time developing computationally practical algorithms implemented in high-performance software systems.
A wide range of spatial and temporal scales is represented in his research. At the smallest spatial scale, in collaboration with Professor J. E. Johnson (The Scripps Research Institute), he has developed algorithms and parallel software for problems associated with determining the 3-D shape of viruses from electron microscopy images and x-ray scattering data. Parallel software has played a critical role in solving these problems. At the largest spatial scale, in collaboration with Professor S. J. O'Connor (Indiana University School of Medicine), he has developed nonlinear differential equation models of the pharmacokinetics of ethanol. He has used these models to develop signal processing and pattern recognition algorithms and software for processing the outputs of a long-term implanted ethanol sensor system and to determine parameters describing the ethanol-related physiology of an individual from breath ethanol measurements.
Before joining Cornell University in July 2006, Peter Doerschuk was on the faculty of Purdue University in Electrical and Computer Engineering and Biomedical Engineering. He received BS, MS, and Ph.D. degrees in Electrical Engineering from MIT and an M.D. degree from Harvard Medical School. After post-graduate training at Brigham and Womens' Hospital he held a post-doctoral appointment at the Laboratory for Information and Decision Systems (MIT) before joining Purdue.
- 2014. "Directed Interactivity of Large-Scale Brain Networks: Introducing a New Method for Estimating Resting-State Effective Connectivity MRI." Paper presented at IEEE 2014 International Conference on Image Processing, Paris, October (4th Quarter/Autumn) 30. .
- 2014. "Dynamic and geometric analyses of Nudaurelia capensis ω virus maturation reveal the energy landscape of particle transitions.." J Mol Recognit 27 (4): 230-237. .
- 2013. "Virus assembly and maturation: auto-regulation through allosteric molecular switches.." J Mol Biol 425 (9): 1488-1496. .
- 2013. "Dynamics in cryo EM reconstructions visualized with maximum-likelihood derived variance maps.." J Struct Biol 181 (3): 195-206. .
- 2013. "Comparison of native and non-native consonant articulation with real- time magnetic resonance imaging of the vocal tract." J. Acoust. Soc. Am. 133: 3603. .
Selected Awards and Honors
- Ernst A. Guillemin Thesis Prize for the MIT EECS M.Eng. thesis of Keyuan Xu, (MIT EECS) 2004
- The Motorola Excellence in Teaching Award (Purdue University - School of Electrical & Computer Engineering) 2004
- Fellow of the American Institute for Medical and Biological Engineering (AIMBE) (American Institute for Medical and Biological Engineering (AIMBE)) 2003
- University Faculty Scholar (Purdue University) 2002
- Department of Biomedical Engineering Faculty Service Award (Purdue University) 2000
- B.S.E.E. Massachusetts Institute of Technology, 1977
- M.S.E.E. Massachusetts Institute of Technology, 1979
- E.E. Massachusetts Institute of Technology, 1979
- Ph D (Electrical Engineering), Massachusetts Institute of Technology, 1985
- M.D. (Medicine), Harvard Medical School, 1987