Tom Prescott

A picture of me 

Postdoctoral Researcher in Mathematics
Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford

Andrew Wiles Building
Woodstock Road
Oxford
OX2 6GG
prescott at maths.ox.ac.uk

Background

I am a PDRA in the Wolfson Centre for Mathematical Biology at the Mathematical Institute in the University of Oxford, supervised by Ruth Baker. The project I am working on, funded by BBSRC, is called Next Generation Approaches to Connect Models and Quantitative Data in Biology in collaboration with Michael Stumpf, formerly at Imperial College, London, and now at the University of Melbourne.

I have degrees in Mathematics (MMath) and in Engineering Science (DPhil). The latter was funded by EPSRC through the Life Sciences Interface Doctoral Training Centre at Oxford, and was supervised by Antonis Papachristodoulou in the Control Group of the Department of Engineering Science. My thesis was entitled Large-scale layered systems and synthetic biology: model reduction and decomposition, and it won the 2015 European PhD Award on Control for Complex and Heterogeneous Systems, awarded by the European Embedded Control Institute (EECI). After completing my DPhil I was a postdoc in Engineering Science, working on using feedback control to engineer robustness and reduce uncertainty in synthetic biology. I have also briefly worked outside of academic research for the Government Operational Research Service (GORS) at HMRC and UK Research & Innovation (2016–2018).

News

  • 18–19 September 2019: Attended and displayed a poster on my Multifidelity ABC work at On growth and pattern formation, a workshop in the Oxford Mathematical Institute celebrating Philip Maini's 60th birthday.

  • 9–11 September 2019: Attended and displayed a poster on Multifidelity ABC work at the 3rd International Workshop on Control Engineering and Synthetic Biology in Oxford.

  • 21–23 May 2019: Attended and presented my work on Multifidelity ABC at New Vistas in Computational Systems and Synthetic Biology in Vigo.

  • 29 April–3 May 2019: Attended Biology Meets Probability, a collaborative workshop at the University of Bath.

  • Preprint, Multifidelity approximate Bayesian computation, available on arXiv.

  • 11–16 November 2018: Attended and presented at Banff International Research Station workshop 18w5144, Mathematical and Statistical Challenges in Bridging Model Development, Parameter Identification and Model Selection in the Biological Sciences. A recording of my presentation can be found here.

  • 17 October 2018: Presented at RSS 5th Afternoon Meeting on Bayesian Computation, University of Reading.

  • 15 June 2018: Attended UQ for Complex Systems: Development in Theory and Methodologies workshop at Isaac Newton Institute, Cambridge — final workshop in INI Programme on UQ for Complex Systems.

  • 8–10 May 2018: Attended Data Driven Modelling of Complex Systems workshop at Alan Turing Institute, London.

  • March 2018: Began PDRA at Oxford