David Holcman is an applied mathematician, biophysicist and computational biologist at École Normale Supérieure in Paris. He is known for his work on the narrow escape problem, based on analysis of the Laplace equation,[1][2] the redundancy principle in biology based on extreme statistics,[3][4][5] the modeling of molecular trafficking in neurobiology, of diffusion and electrodiffusion in nanodomains such as dendritic spines, the modeling of neuronal networks dynamics such as Up and Down states in electrophysiology. He developed multiscale methods and simulations to analyse large amount of molecular super-resolution trajectories, and polymer physics modeling and analysis to study cell nucleus organization.[6] These computational approaches led to several verified predictions in the life sciences such as nanocolumn organization of synapses[7][8] or astrocytic protrusion penetrating neuronal synapses,[9] molecular ER organization in dendritic spines and many more. The narrow escape theory was recently verified in physical experiments.[10]

Works

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His research interests include mathematical biology, stochastic processes, data modeling, computational methods, stochastic simulations, theory of cellular microworld, neuronal networks, computational biology and neuroscience, asymptotic approaches in partial differential equations, predictive medicine, electroencephalography (EEG) analysis, and modeling organelles in cells.[11] Other contributions concern methods of analyzing single particle trajectories, calcium dynamics in dendritic spines and the development of statistical methods, polymer models, analysis and simulations to study chromatin and nucleus organization.[11] His recent works concern predicting the brain state transition during general anesthesia based on real-time operative multi-dimensional dynamics including time-frequency patterns and signal suppressions.

Publications

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Holcman has more than 220 published journal articles and has registered 2 patents.

He is the co-author of the books:

  • David Holcman and Zeev Schuss, Stochastic Narrow Escape in Molecular and Cellular Biology: Analysis and Applications, 2015-09-08, ISBN 978-1-4939-3102-6
  • David Holcman (editor), Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, 2017-10-04, ISBN 978-3-319-62626-0
  • David Holcman and Zeev Schuss, Asymptotics of Elliptic and Parabolic PDEs: and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics, 2018-05-25 ISBN 978-3-319-76894-6

Press coverage

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Awards

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Holcman has received several awards, including a Sloan-Keck fellowship award (2002) a Marie-Curie Award[12] (2013), and a Simons Fellowship. He is also recipient of 2 ERCs: an ERC Starting Grant[13] in mathematics (2007) and an ERC-Advanced Grant in computational biology[14] (2019).

References

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  1. ^ Mangeat, M; Rieger, H (2019-10-18). "The narrow escape problem in a circular domain with radial piecewise constant diffusivity". Journal of Physics A: Mathematical and Theoretical. 52 (42): 424002. arXiv:1906.06975. Bibcode:2019JPhA...52P4002M. doi:10.1088/1751-8121/ab4348. ISSN 1751-8113. S2CID 189928197.
  2. ^ Schuss, Z. (2012-10-01). "The Narrow Escape Problem—A Short Review of Recent Results". Journal of Scientific Computing. 53 (1): 194–210. doi:10.1007/s10915-012-9590-y. ISSN 1573-7691. S2CID 254702232.
  3. ^ Redner, S.; Meerson, B. (2019-03-01). "Redundancy, extreme statistics and geometrical optics of Brownian motion: Comment on "Redundancy principle and the role of extreme statistics in molecular and cellular biology" by Z. Schuss et al". Physics of Life Reviews. 28: 80–82. Bibcode:2019PhLRv..28...80R. doi:10.1016/j.plrev.2019.01.020. ISSN 1571-0645. PMID 30718199. S2CID 73448264.
  4. ^ Sokolov, Igor M. (2019-03-01). "Extreme fluctuation dominance in biology: On the usefulness of wastefulness: Comment on "Redundancy principle and the role of extreme statistics in molecular and cellular biology" by Z. Schuss, K. Basnayake and D. Holcman". Physics of Life Reviews. 28: 88–91. Bibcode:2019PhLRv..28...88S. doi:10.1016/j.plrev.2019.03.003. ISSN 1571-0645. PMID 30904271. S2CID 85496733.
  5. ^ Coombs, Daniel (2019-03-01). "First among equals: Comment on "Redundancy principle and the role of extreme statistics in molecular and cellular biology" by Z. Schuss, K. Basnayake and D. Holcman". Physics of Life Reviews. 28: 92–93. Bibcode:2019PhLRv..28...92C. doi:10.1016/j.plrev.2019.03.002. ISSN 1571-0645. PMID 30905554. S2CID 85497459.
  6. ^ Blythe, Richard A.; MacPhee, Cait E. (2013-11-27). "The Life and Death of Cells". Physics. 6 (22): 129. doi:10.1103/PhysRevLett.111.228104. PMID 24329474.
  7. ^ Guzikowski, Natalie J.; Kavalali, Ege T. (2021). "Nano-Organization at the Synapse: Segregation of Distinct Forms of Neurotransmission". Frontiers in Synaptic Neuroscience. 13: 796498. doi:10.3389/fnsyn.2021.796498. ISSN 1663-3563. PMC 8727373. PMID 35002671.
  8. ^ Tang, Ai-Hui; Chen, Haiwen; Li, Tuo P.; Metzbower, Sarah R.; MacGillavry, Harold D.; Blanpied, Thomas A. (August 2016). "A trans-synaptic nanocolumn aligns neurotransmitter release to receptors". Nature. 536 (7615): 210–214. Bibcode:2016Natur.536..210T. doi:10.1038/nature19058. ISSN 1476-4687. PMC 5002394. PMID 27462810.
  9. ^ Welberg, Leonie (April 2014). "Invasion of the astrocytes!". Nature Reviews Neuroscience. 15 (4): 207. doi:10.1038/nrn3720. ISSN 1471-0048. PMID 24619346. S2CID 13189654.
  10. ^ Meiser, Elisabeth; Mohammadi, Reza; Vogel, Nicolas; Holcman, David; Fenz, Susanne F. (2023-11-17). "Experiments in micro-patterned model membranes support the narrow escape theory". Communications Physics. 6 (1): 1–10. doi:10.1038/s42005-023-01443-2. ISSN 2399-3650.
  11. ^ a b "David Holcman". scholar.google.com. Retrieved 2023-09-14.
  12. ^ "Home | Marie Skłodowska-Curie Actions". marie-sklodowska-curie-actions.ec.europa.eu. Retrieved 2023-03-22.
  13. ^ "David Holcman | INSB". www.insb.cnrs.fr (in French). 31 July 2007. Retrieved 2023-03-22.
  14. ^ "David Holcman, lauréat ERC Advanced Grants | ENS". www.ens.psl.eu. Retrieved 2023-03-22.