Title
Instructor in the Rabb School of Continuing Studies, Division of Graduate Professional Studies
Rabb School of Continuing Studies, Division of Graduate Professional Studies
Expertise
Information Transduction in Biological Systems.
a. Biological Data Mining and Modeling - Computational and Systems Biology Approaches.
b. Biological and Biomedical Feedback Systems - Modeling & Control.
Profile
Madhu Natarajan, PhD, is a systems biologist at Pfizer Inc. He received a PhD from Northwestern University in 2001. He is interested in research around biological information transduction from intramolecular signaling to complex homeostatic mechanisms integrating signals from multiple tissues. His prior research includes work with the Alliance for Cellular Signaling, and engineering designed protein chimeras with novel function.
Madhu's initial training was in Electronics and Communication Engineering, and he went on to graduate studies in Biomedical Engineering and Neurobiology. He received his Ph.D. from Northwestern University, IL, where he investigated sources of sympathetic rhythm generation that form the basis of mammalian cardiovascular control. After a short stint in biotech in NJ, Madhu was research faculty in the department of Pharmacology at the University of Texas Southwestern Medical Center in Dallas, TX where he initially worked as part of a large multi-investigator multi-university research collaboration called the Alliance for Cellular Signaling (AfCS). His work in the AfCS is recognized as among the first efforts to combine multivariate, multiscale, multi-assay snapshots of signaling to yield a cohesive picture of cross-talk in signaling networks. His subsequent work there also examined information transduction within proteins, and engineered and designed protein chimeras with novel function.
Degrees
Northwestern University, Ph.D.
University of Madras, B.E.
Awards and Honors
Travel Award, American Physiological Society Conference (2000)
Graduate Fellow, Northwestern University (1998 - 2001)
Service Award, IEEE (1994)
Courses Taught
| RBIF | 112 | Biological Data Mining and Modeling |
Scholarship
