Gender	Male
E-mail	lawrence.sirovich@mssm.edu
Education and Training	Ph.D., Johns Hopkins University
	A.B., Johns Hopkins University
Awards	2007 Fellowship American Association for the Advancement of Science
	2003 Perspectives and Problems in Nonlinear Science A celebratory volume in honor of Lawrence Sirovich Springer-Verlag New York Inc.
	2002 Frontiers in Mathematics Lectureship Texas A & M
	1994 Arne Magnus Prize Colorado State University
	1992 - 1994 Otto Laport Prize Committee
	1991 Byron Short Lecturer University of Texas
	1991 Fellowship The American Physical Society
	1989 Member, Frenkiel Prize Committee American Institute of Physics
	1988 Chairman, Frenkiel Prize Committee American Institute of Physics
	1978 - 1979 Guggenheim Fellow
	1974 Professeur d'Echange Univ. de Paris VI
	1968 - 1968 Professeur Associe Institute Henri Poincare, Universite de Paris
	1961 - 1962 Fullbright Scholar Universite Libre Bruxelles

Dr. Sirovich is Director, Laboratory for Applied Mathematics and Director, Biomathematics Track, Biophysics, Structural Biology and Biomathematics Training Area of the Graduate School of Biological Sciences.

Areas of interest include: Biomedical Modeling, Computational Biology, Visual System, Applied Mathematics

Education and Training	Ph.D., Johns Hopkins University
	A.B., Johns Hopkins University

Data Analysis

Current research is being carried out using generalized eigenfunction methods, including methods associated with the acronyms SVD, PCA, KL, PLS and so forth for the analysis of large data sets arising in laboratory situations, including image based data.  In situations where the data may be viewed as being composed of input and output, general methods are being investigated which furnish empirically based input output models of the data. This is also used as a basis for further theoretical modeling of the phenomena.

Low Dimensional Models

General methods pioneered and developed by our laboratory for reducing large dynamical systems to relatively low dimensional quantitative caricatures are being extended to the treatment of the general types of chemical kinetic equations that appear in biochemical situations.

Modeling of Cellular Populations

An ongoing research program over the past decade of our laboratory has been the development of population models, first introduced by our laboratory, to describe the behavior of large numbers of interacting cells as they might appear in tissue.  The visual pathway has been and continues to be a major interest of our laboratory.  We have developed models which cover the full range of neuronal connectivity, going from the case of many driving inputs to a neuron (Poisson arrivals) to individually driven neurons (precise firing). All aspects of the program of modeling is based on laboratory data.

Sirovich L. Populations of tightly coupled neurons: the RGC/LGN system. Neural Comput 2008 May; 20(5): 1179-1210.

Rangamani P, Sirovich L. Survival and apoptotic pathways initiated by TNF-alpha: Modeling and predictions. Biotechnol Bioeng 2007 Aug 1; 97(5): 1216-1229.

Meytlis M, Sirovich L. On the dimensionality of face space. IEEE Trans Pattern Anal Mach Intell 2007 Jul; 29(7): 1262-1267.

Sirovich L, Omurtag A, Lubliner K. Dynamics of neural populations: stability and synchrony. Network 2006 Mar; 17(1): 3-29.

Sornborger A, Yokoo T, Delorme A, Sailstad C, Sirovich L. Extraction of the average and differential dynamical response in stimulus-locked experimental data. J Neurosci Methods 2005 Feb 15; 141(2): 223-229.

Sirovich L, Uglesich R. The organization of orientation and spatial frequency in primary visual cortex. Proc Natl Acad Sci U S A 2004 Nov 30; 101(48): 16941-16946.

Sornborger A, Sailstad C, Kaplan E, Sirovich L. Spatiotemporal analysis of optical imaging data. Neuroimage 2003 Mar; 18(3): 610-621.

Sirovich L. Dynamics of neuronal populations: eigenfunction theory; some solvable cases. Network 2003 May; 14(2): 249-272.

Sirovich L. A pattern analysis of the second Rehnquist U.S. Supreme Court. Proc Natl Acad Sci U S A 2003 Jun 24; 100(13): 7432-7437.