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Jeremy Gunawardena

From Wikipedia, the free encyclopedia
Jeremy Gunawardena
Alma materUniversity of Cambridge (Ph.D.)
Known forLittle b
Scientific career
FieldsSystems biology, Mathematical biology, Algebraic topology
InstitutionsHarvard

Jeremy Gunawardena, a mathematician and systems biologist, is Associate Professor of Systems Biology at Harvard Medical School. He specializes in cellular signalling and decision making.

Biography

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Gunawardena obtained a PhD in algebraic topology from the University of Cambridge under Frank Adams,[1] after which he spent two years as LE Dickson Instructor at the University of Chicago[2] before returning to Cambridge. He set up the first computer science courses at Chicago. After leading Hewlett-Packard's research team in Europe, he joined the faculty of systems biology at the Harvard Medical School. He is a speaker of the IBS Biomedical Mathematics Group.[3]

Work

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Gunawardena focuses on mathematical techniques in systems biology, including models for post-translational modification[4] (multisite phosphorylation, transcription factor binding [5]) and other modeling of systems.

One of his most cited papers, "Multisite protein phosphorylation makes a good threshold but can be a poor switch" in Proceedings of the National Academy of Sciences, [6] has received 280 citations according to Google Scholar.[7]

References

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  1. ^ "Jeremy Harin Charles Gunawardena". Mathematics Genealogy Project. Retrieved January 17, 2022.
  2. ^ "CDS Lecture Series". isr.umd.edu. Retrieved January 17, 2022.
  3. ^ "Jeremy Gunawardena". Biomedical Mathematics Group. Retrieved 2024-07-27.
  4. ^ Gunawardena, J; Y Xu (2012). "Realistic enzymology for post-translational modification: zero-order ultrasensitivity revisited". J Theor Biol. 311: 139–152. Bibcode:2012JThBi.311..139X. doi:10.1016/j.jtbi.2012.07.012. PMC 3432734. PMID 22828569.
  5. ^ Gunawardena, J; N Hao; B A Budnik; E K O'Shea (2013). "Tunable signal processing through modular control of transcription factor translocation". Science. 339 (6118): 460–4. Bibcode:2013Sci...339..460H. doi:10.1126/science.1227299. PMC 3746486. PMID 23349292.
  6. ^ PNAS full text
  7. ^ "Google Scholar".
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