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
Jake Matthew Turley
Schmidt AI In Science Postdoctoral Fellow
Principal Investigator
Research Interests
- Ovarian follicular morphogenesis
- Deep learning
- Mathematical modelling and Microscopy
Selected Publications
- 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).
- 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.
- 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.
Recent Publications
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.
