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| Lawrence Sirovich | |
|---|---|
| Name | Lawrence Sirovich |
| Birth date | 1930 |
| Death date | 2020 |
| Fields | Applied Mathematics; Neuroscience; Pattern Recognition; Fluid Mechanics; Statistics |
| Workplaces | Cornell University; New York University; City College of New York; New York Hospital |
| Alma mater | City College of New York; Columbia University |
Lawrence Sirovich was an American applied mathematician and computational neuroscientist known for pioneering work in pattern recognition, principal component analysis, and the mathematical description of turbulence. He made influential contributions spanning Cornell University, New York University, City College of New York, Columbia University, and collaborations with researchers at institutions such as Harvard University, Massachusetts Institute of Technology, Brown University, Princeton University, and Stanford University. His interdisciplinary work connected methods from statistical mechanics, signal processing, computer vision, neuroscience, and aerodynamics to practical problems in facial recognition, speech analysis, and fluid dynamics.
Sirovich was born and educated in New York City, attending City College of New York for undergraduate studies and earning graduate degrees at Columbia University, where he worked within environments linked to researchers at Bell Labs, Brookhaven National Laboratory, Courant Institute of Mathematical Sciences, and New York University. During his formative years he was influenced by developments associated with figures at Princeton University, Institute for Advanced Study, Yale University, and Rutgers University that shaped his interest in applied mathematics and computation. His early academic milieu connected him to contemporaries from Massachusetts Institute of Technology, Harvard University, University of Chicago, and University of California, Berkeley.
Sirovich held faculty and research appointments at institutions including Cornell University, New York University, and City College of New York, and collaborated with clinical groups at New York Hospital. He served in roles that brought him into professional networks with scholars from Columbia University, Princeton University, Stanford University, Harvard Medical School, and Brown University. His career intersected with programs and conferences organized by Society for Industrial and Applied Mathematics, Institute of Electrical and Electronics Engineers, American Physical Society, Royal Society, and National Academy of Sciences. He mentored students who later joined faculties at University of Pennsylvania, Johns Hopkins University, Duke University, Yale University, and University of Michigan.
Sirovich is best known for developing low-dimensional representations of high-dimensional data through methods related to principal component analysis linking to work by Karl Pearson, Harold Hotelling, Trevor Hastie, Robert Tibshirani, Jerome Friedman, and Bradley Efron. He introduced "eigenfaces" concepts that influenced studies in computer vision, pattern recognition, facial recognition systems used in projects at MIT Media Lab, RAND Corporation, DARPA, and industrial labs like IBM Research, Xerox PARC, and Microsoft Research. His work on turbulence connected to classical studies by Andrey Kolmogorov, Ludwig Prandtl, Werner Heisenberg, Lewis Fry Richardson, and contemporary research at Los Alamos National Laboratory, Argonne National Laboratory, and NASA. Sirovich bridged techniques from signal processing pioneers such as Alan V. Oppenheim, Ronald W. Schafer, David Marr, Terry Sejnowski, and Geoffrey Hinton to applications in neuroscience and psychophysics examined by groups at Salk Institute, Cold Spring Harbor Laboratory, Max Planck Institute for Brain Research, and National Institutes of Health. He also contributed to statistical methodologies referenced by researchers at University College London, Imperial College London, ETH Zurich, and École Polytechnique Fédérale de Lausanne.
Sirovich authored influential articles and monographs cited alongside works by Peter J. Bickel, Eitan Tadmor, Philip Holmes, Bernd Schroeder, Michael I. Jordan, Christopher Bishop, and Anil K. Jain. His papers on eigenfunction expansions, pattern reconstruction, and reduced-order modeling were published in journals associated with Proceedings of the National Academy of Sciences, Physical Review Letters, Journal of Fluid Mechanics, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Nature Communications. These publications informed projects at Bell Labs, AT&T Research, Siemens, General Electric Research, and academic programs at Columbia University, Cornell University, and Princeton University.
Over his career Sirovich received recognition from organizations linked to National Science Foundation, American Mathematical Society, Society for Industrial and Applied Mathematics, Institute of Electrical and Electronics Engineers, and American Physical Society. His honors placed him among researchers celebrated by National Academy of Sciences, Royal Society, Institut de France, Academia Europaea, and national academies including American Academy of Arts and Sciences and National Academy of Engineering. He delivered invited lectures at venues such as International Congress of Mathematicians, Society for Industrial and Applied Mathematics Meeting, IEEE Conference on Computer Vision and Pattern Recognition, and symposia at Massachusetts Institute of Technology and Stanford University.
Sirovich was part of a scholarly lineage that connected to students and collaborators at Cornell University, New York University, City College of New York, Harvard University, Princeton University, and Stanford University. His legacy endures in methods taught in courses at Massachusetts Institute of Technology, University of Oxford, University of Cambridge, University of Toronto, and Peking University, and in technologies developed at Google, Apple, Facebook, Amazon, and research centers such as Microsoft Research and IBM Research. He is remembered in memorials and retrospectives organized by Society for Industrial and Applied Mathematics, Institute of Electrical and Electronics Engineers, and academic departments at Cornell University and City College of New York.
Category:American mathematicians Category:Computational neuroscientists