Jeremy Gunawardena

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.

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

Biography

Gunawardena obtained a PhD in algebraic topology from the University of Cambridge under Frank Adams, after which he spent two years as LE Dickson Instructor at the University of Chicago 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.

Work

Gunawardena focuses on mathematical techniques in systems biology, including models for post-translational modification [1] (multisite phosphorylation, transcription factor binding [2]) and other modeling of systems.

His most cited paper, "Multisite protein phosphorylation makes a good threshold but can be a poor switch" in Proceedings of the National Academy of Sciences, [3] has citations according to Google Scholar, which lists a 25 papers of his cited 25 times or more.[4]

gollark: Great! However, consume bees.
gollark: I could do that, but that would be bad, since C is not powerful enough to make it not bad.
gollark: My own... C?
gollark: Just this morning I did `sorted(itertools.product(range(w), range(h)))` to do some accursed thing I forgot on a grid.
gollark: C makes that very unpleasant.

References
  1. Gunawardena, J; Y Xu (2012). "Realistic enzymology for post-translational modification: zero-order ultrasensitivity revisited". J Theor Biol. 311: 139–152. doi:10.1016/j.jtbi.2012.07.012. PMC 3432734. PMID 22828569.
  2. Gunawardena, J; N Hao; B A Budnik; E K O'Shea (2013). "Tunable signal processing through modular control of transcription factor translocation". Science. 339: 460–4. doi:10.1126/science.1227299. PMC 3746486. PMID 23349292.
  3. PNAS full text
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