Jeremy Gunawardena
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Jeremy Gunawardena | |
|---|---|
| Born | November 1955 (age 70) |
| Alma mater | University of Cambridge (Ph.D.) |
| Known for | Little b linear framework[1] |
| Scientific career | |
| Fields | Systems biology, Mathematical biology, Algebraic topology |
| Institutions | Harvard |
Jeremy Gunawardena (born November 1955[2]) is a mathematician and systems biologist[3] who is a Distinguished Professor at the Universitat Pompeu Fabra in Barcelona, Spain. His lab focuses on cellular learning and information processing.[4][5]
Gunawardena received a BSc degree in mathematics from Imperial College, London, where he was awarded the Sir John Lubbock Memorial Prize for the highest-ranked first class degree in the University of London.[6] He did Part III of the Mathematical Tripos at Trinity College, Cambridge, for which he was awarded a J T Knight Prize in Class 1, and went on to do his PhD in algebraic topology with Frank Adams at Cambridge.[7]
Career
He was elected to a research fellowship in Pure Mathematics at Trinity College.[8][9] Before taking up his Fellowship, he spent two years as L.E. Dickson Instructor in the Department of Mathematics at the University of Chicago.[10] He subsequently spent several years in industrial research at HP Labs in Bristol, UK.[11][12] He also served as a Member of Council of the UK's Engineering and Physical Sciences Research Council (EPSRC).[13] In 2002, Gunawardena become a Visiting Scientist at the Bauer Center for Genomics Research at Harvard.[14] In 2003, he joined the newly formed Department of Systems Biology at Harvard Medical School.[15] In 2025, he moved to the Universitat Pompeo Fabra as a Distinguished Professor.
Work
Gunawardena's PhD thesis led to the solution, with Frank Adams and Haynes Miller, of the Segal conjecture for elementary abelian groups,[16] which provided the algebraic starting point for Gunnar Carlsson's solution of the full conjecture.[17] At the University of Chicago, he helped to set up the first computer science courses at the University.[18] At HP Labs, Gunawardena created the Basic Research Institute in the Mathematical Sciences (BRIMS), a pioneering academic-industrial partnership with the University of Bristol and the Isaac Newton Institute for Mathematical Sciences in Cambridge.[19][20]
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, [21] has received 280 citations according to Google Scholar.[22]
Gunawardena introduced, with Aneil Mallavarapu, the programming-with-models approach to virtual cells, which led to the programming language little b.[23]Together with Marc Kirschner, Lew Cantley, Walter Fontana and Johan Paulsson, he helped set up and co-taught Systems Biology 200, one of the first courses to discuss the core mathematical ideas needed in systems biology.[24] He also founded the weekly series of Theory Lunch chalk talks, which has been running since 2003 and has brought some of the culture of the mathematical sciences into systems biology.[25]
At Harvard Medical School, Gunawardena's lab studies information processing in eukaryotic cells, with a focus on mechanisms like post-translational modification, gene regulation and allostery.[26] Gunawardena has had a long-standing interest in the interface between mathematics and biology, on which he has written several perspectives.[27] Gunawardena's essay, "Models in biology: 'accurate descriptions of our pathetic thinking'," published in BMC Biology, critiques the limitations of mathematical models in biological research.[28] He argues that many models fail to accurately represent nature and emphasizes the importance of verifiability and falsifiability in their components and conclusions.[29]
Gunawardena's lab has developed over several years a mathematical approach for analyzing biomolecular systems called the 'linear framework in which theorems can be proved about biological processes.[30]
Gunawardena has been exploring the concept of cellular learning, bringing ideas from cognitive science and psychology to bear on the behavior of individual cells.[31] He was awarded a European Research Council synergy grant to study this, 'CeLEARN: learning in single cells through dynamical internal representations', together with Aneta Koseska, Dietmar Schmucker and Jordi Garcia-Ojalvo.[32]