Paul_Bressloff

Paul Bressloff

Paul Bressloff

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Paul C. Bressloff is a British applied mathematician, biophysicist and mathematical neuroscientist. As of 2022, Bressloff is currently a full professor in the Department of Mathematics at the University of Utah.[1][2]

Education

Bressloff obtained an MA with First Class Honors from the University of Oxford in 1982, and obtained his Ph.D from the Department of Mathematics at King's College in 1988. His thesis was titled Quantum field theory of superstrings in the light-cone gauge.[3]

Research

Bressloff has published extensively on a wide variety of applied and theoretical topics. As of 2022, he has an H-index of 54, and he has published over three-hundred and fifty articles, three textbooks, and has co-written a non-fiction popular science book.[4] He has advised more than twenty PhD recipients.[5]

Books

Paul is the author of three textbooks in computational biology, two of which deal with stochastic processes in cellular biology.[6][7]

  • Bursting: The Genesis of Rhythm in the Nervous System with Stephen Coombes (2003)
  • Waves in Neural Media: From Single Neurons to Neural Fields (2013)
  • Stochastic Processes in Cell Biology (2014)
  • Stochastic Processes in Cell Biology: Volume II (2022)

References

  1. [1]
    "Professor Paul C. Bressloff". www.math.utah.edu. Retrieved 2022-01-16.
  2. [2]
    "Interview with Paul Bressloff - Journal of Physics A: Mathematical and Theoretical - IOPscience". iopscience.iop.org. Retrieved 2022-01-16.
  3. [3]
    Bressloff, Paul (2022). "Paul Bressloff CV" (PDF). University of Utah Math Faculty. Retrieved 2022-01-16.
  4. [4]
    "Paul Bressloff". scholar.google.com. Retrieved 2022-01-16.
  5. [5]
    "Paul Bressloff - The Mathematics Genealogy Project". www.mathgenealogy.org. Retrieved 2022-01-16.
  6. [6]
    Bressloff, Paul C. (2021). Stochastic processes in cell biology. ISBN 978-3-030-72515-0. OCLC 1291229878.
  7. [7]
    Bressloff, Paul C. (2013-09-13), "Waves in Excitable Neural Fields", Waves in Neural Media, Lecture Notes on Mathematical Modelling in the Life Sciences, New York, NY: Springer New York, pp. 271–318, doi:10.1007/978-1-4614-8866-8_7, ISBN 978-1-4614-8865-1, retrieved 2022-01-16
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