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 mater | University of Cambridge (Ph.D.) |
| Known for | Little b |
| Scientific career | |
| Fields | Systems biology, Mathematical biology, Algebraic topology |
| Institutions | Harvard |
Biography
editGunawardena 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
editGunawardena 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
edit- ^ "Jeremy Harin Charles Gunawardena". Mathematics Genealogy Project. Retrieved January 17, 2022.
- ^ "CDS Lecture Series". isr.umd.edu. Retrieved January 17, 2022.
- ^ "Jeremy Gunawardena". Biomedical Mathematics Group. Retrieved 2024-07-27.
- ^ 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.
- ^ 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.
- ^ PNAS full text
- ^ "Google Scholar".