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Jake Matthew TURLEY

Schmidt AI In Science Postdoctoral Fellow, Mechanobiology Institute, National University of Singapore

jake.t@nus.edu.sg
Level 10 T-Lab
National University of Singapore
5A Engineering Drive 1
Singapore 117411

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Jake Matthew Turley

Schmidt AI In Science Postdoctoral Fellow

Principal Investigator

Chii Jou (Joe) Chan

Research Interests

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Selected Publications

  1. Turley, J., Chenchiah, I.V., Liverpool, T.B., Weavers, H. and Martin, P., 2022. What good is maths in studies of wound healing?. Iscience, 25(8).
  2. Turley, J., Olenik, M., Cross, S., Weavers, H., Martin, P., Chenchiah, I.V. and Liverpool, T.B., 2023. Fluctuations of cell geometry and their nonequilibrium thermodynamics in living epithelial tissue. Physical Review E, 107(1), p.014403.
  3. Turley, J., Chenchiah, I.V., Martin, P., Liverpool, T.B. and Weavers, H., 2023. Deep learning for rapid analysis of cell divisions in vivo during epithelial morphogenesis and repair. bioRxiv, pp.2023-03.

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Recent Publications

[mbi-publication-list author=”Turley J”][/mbi-publication-list]

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About Jake

During his PhD at the University of Bristol, UK, Jake combined advanced microscopy, theoretical modelling, and machine learning to study epithelial cell dynamics during fly development and wound healing. In the Chan lab, he will continue to apply novel deep learning approaches and biophysics to investigate mammalian ovulation during development and ageing.

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