1344493
Professor Matthew Simpson
Faculty of Science,
School of Mathematical Sciences
Biography
- 1995-1998: BE (Environmental) Honours 1. The University of Newcastle
- 2000-2003: PhD (with Distinction). Environmental Engineering. The University of Western Australia.
- 2003-2006: Research Fellow. Department of Mathematics and Statistics, The University of Melbourne.
- 2006-2009: Australian Research Council Postdoctoral Fellow. Department of Mathematics and Statistics, The University of Melbourne.
- 2010-2011: Lecturer in Mathematics. Queensland University of Technology.
- 2011-2013: Senior Lecturer in Mathematics. Queensland University of Technology.
- 2012: Awarded the J.H. Michell Medal, you can read the citation here.
- 2013-2014: Associate Professor of Applied Mathematics. Queensland University of Technology.
- 2014-present: Australian Research Council Future Fellow. Queensland University of Technology.
- 2014-present: Professor of Applied Mathematics. Queensland University of Technology.
Personal details
Positions
- Professor
Faculty of Science,
School of Mathematical Sciences
Keywords
Cell Biology, Computational Modelling, Mathematical Modelling, Multiscale Modelling, Random Walk
Research field
Applied mathematics, Numerical and computational mathematics, Other mathematical sciences
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (University of Western Aust.)
Teaching
My most recent teaching interests include first year calculus and analysis, and later year courses on differential equations and applied mathematical modelling.
Publications
- Johnston, S., Baker, R. & Simpson, M. (2017). A new and accurate continuum description of moving fronts. New Journal of Physics, 19(3), Article 033010. https://eprints.qut.edu.au/103140
- Andrews, C., Cuttle, L. & Simpson, M. (2016). Quantifying the role of burn temperature, burn duration and skin thickness in an in vivo animal skin model of heat conduction. International Journal of Heat and Mass Transfer, 101, 542–549. https://eprints.qut.edu.au/222484
- Haridas, P., McGovern, J., Kashyap, A., McElwain, S. & Simpson, M. (2016). Standard melanoma-associated markers do not identify the MM127 metastatic melanoma cell line. Scientific Reports, 6, 1–6. https://eprints.qut.edu.au/221989
- Johnston, S., Shah, E., Chopin, L., McElwain, S. & Simpson, M. (2015). Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOO(TM) assay data using the Fisher-Kolmogorov model. BMC Systems Biology, 9, 1–12. https://eprints.qut.edu.au/91497
- Simpson, M. & Baker, R. (2015). Exact calculations of survival probability for diffusion on growing lines, disks, and spheres: The role of dimension. Journal of Chemical Physics, 143(9), 1–5. https://eprints.qut.edu.au/91496
- Simpson, M., (2015). Exact solutions of linear reaction-diffusion processes on a uniformly growing domain: Criteria for successful colonization. PLoS One, 10(2), 1–11. https://eprints.qut.edu.au/91502
- Johnston, S., Simpson, M. & Baker, R. (2015). Modelling the movement of interacting cell populations: A moment dynamics approach. Journal of Theoretical Biology, 370, 81–92. https://eprints.qut.edu.au/91503
- Johnston, S., Simpson, M. & McElwain, S. (2014). How much information can be obtained from tracking the position of the leading edge in a scratch assay? Journal of the Royal Society Interface, 11(97), 1–9. https://eprints.qut.edu.au/70568
- Simpson, M., Jazaei, F. & Clement, T. (2013). How long does it take for aquifer recharge or aquifer discharge processes to reach steady state? Journal of Hydrology, 501, 241–248. https://eprints.qut.edu.au/219700
- Simpson, M., Treloar, K., Binder, B., Haridas, P., Manton, K., Leavesley, D., McElwain, S. & Baker, R. (2013). Quantifying the roles of cell motility and cell proliferation in a circular barrier assay. Journal of the Royal Society Interface, 10(82), 1–12. https://eprints.qut.edu.au/219036
QUT ePrints
For more publications by Matthew, explore their research in QUT ePrints (our digital repository).
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/matthew.simpson
Awards
- Type
- Chair/Convenor of Conference Workshop
- Reference year
- 2014
- Details
- ANZIAM| I am co-chair of the 2015 meeting of ANZIAM, the professional association of Australian and New Zealand applied mathematicians.
- Type
- Editorial Role
- Reference year
- 2014
- Details
- Journal of Engineering Mathematics| I am an executive associate editor of the Journal of Engineering Mathematics
- Type
- Editorial Role
- Reference year
- 2014
- Details
- PLoS ONE| I am an academic editor of the interdisciplinary journal PLoS ONE
- Type
- Funded Fellowship
- Reference year
- 2013
- Details
- ARC| Fellowship Type: ARC Future Fellowship
Project Title: New data-driven mathematical models of collective cell motion
External Reference : FT130100148
Years Awarded: 2013 - 2017
Total Funding Awarded: $617,220
- Type
- Award or Prize
- Reference year
- 2012
- Details
- Australian and New Zealand Industrial and Applied Mathematics (A division of the Australian Mathematical Society).| The J.H. Michell Medal is awarded annually by ANZIAM to at most one outstanding new researcher who has carried out distinguished research in applied or industrial mathematics within Australia and New Zealand. At the recent ANZIAM Annual Meeting, the 2012 J.H. Michell Medal was awarded to Dr Matthew Simpson.
- Type
- Editorial Role
- Reference year
- 2011
- Details
- ANZIAM Journal| I am a member of the Editorial board of the ANZIAM Journal, the leading Australian journal focussing on applied mathematics
Selected research projects
- Title
- Mathematical Models of Cell Migration in Three-dimensional Living Tissues
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP170100474
- Start year
- 2018
- Keywords
- Title
- A new hierarchy of mathematical models to quantify the role of ghrelin during cell invasion
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP140100249
- Start year
- 2014
- Keywords
- Mathematical modelling; Mathematical biology; Multiscale modelling
- Title
- New data-driven mathematical models of collective cell motion
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- FT130100148
- Start year
- 2014
- Keywords
- Mathematical modelling; Multiscale modelling; Mathematical biology
- Title
- Modelling Cell Invasion Incorporating the Epithelial to Mesenchymal Transition: Exploring Therapies to Control Wound Healing and Cancer Progression
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DP120100551
- Start year
- 2012
- Keywords
- Mathematical Biology; Mathematical Modelling; Multiscale Modelling; Cell Invasion
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- Characterising the morphodynamics of in vivo corneal immune cells
PhD, Associate Supervisor
Other supervisors: Dr Luisa Holguin Colorado, Associate Professor Katie Edwards - Data-Driven Model Discovery: Theoretical Developments and Practical Applications
PhD, Principal Supervisor
Other supervisors: Associate Professor Pascal Buenzli - Data-informed model reduction for inference and prediction from stochastic models for biological applications
MPhil, Principal Supervisor
Other supervisors: Associate Professor Pascal Buenzli - Identifiability Analysis for Complex Statistical Models in Biology and Ecology
PhD, Associate Supervisor
Other supervisors: Professor Chris Drovandi, Dr Matthew Adams, Dr David Warne - Incorporating cell mechanics in models of tissue growth within complex geometries
PhD, Associate Supervisor
Other supervisors: Associate Professor Pascal Buenzli - New mathematical models of biological tissue mechanics
PhD, Associate Supervisor
Other supervisors: Associate Professor Pascal Buenzli
Completed supervisions (Doctorate)
- Mathematical Models of Biological Invasion (2022)
- Mechanochemical and Experimental Models in Mathematical Biology (2022)
- Model Complexity in Biology and Bioengineering (2022)
- Nonlinear Diffusion in Mathematical Biology (2022)
- Numerical Methods for Optimal Control and Parameter Estimation in the Life Sciences (2022)
- A Multiscale Approach to Moisture Diffusivity for Drying Plant-Based Food Materials (2021)
- Stochastic and Continuum Descriptions of Population Dynamics With Spatial Structure (2021)
- Computational Inference in Mathematical Biology: Methodological Developments and Applications (2020)
- Mathematical models for cell migration and proliferation informed by visualisation of the cell cycle (2020)
- New Mathematical Models for Cell Biology Assays Incorporating Realistic Cell Size Dynamics (2020)
Completed supervisions (Masters by Research)
- New mathematical and statistical methods for tissue engineering (2024)
- Surrogate models for diffusive transport in radially-symmetric media (2023)
- A Stochastic Mathematical Model of 4D Tumour Speroids with Real-Time Flourescent Cell Cycle Labelling (2022)
- Understanding the Role of Size Limits in Optimal Fisheries Management (2022)
- An Approach for the Identification of the Go or Grow Phenotype Using ABC Methods (2021)
- Estimating Parameters of a Stochastic Cell Invasion Model with Flourescent Cell Cycle Labelling Using Approximate Bayesian Computation (2021)
- Spatial Control and Cell Guidance in Evolving Biological Tissues (2021)
- A Novel Free Boundary Mathematical Model of Epithelial Tissues with Mechanobiological Coupling (2020)
- Parameterising Continuum Models of Heat Transfer in Heterogeneous Living Skin Using Experimental Data (2018)
- Stochastic Mathematical Models of Cell Proliferation Assays (2017)
Supervision topics
- Creation of fibrous tissue at moving interfaces
- Emergence of curvature-dependent growth in mathematical models of tissue invasion
- Moving boundary problems in mathematical biology
- Equation learning for partial differential equation models of stochastic random walk models
- Mathematical and statistical methods for change point detection in precision fermentation
- Detecting metabolic regime switching using dilution-resolved growth data: mathematical modelling, statistical inference and uncertainty quantification
- Efficient Parameter Estimation for Stochastic Simulations
- Making predictions using simulation-based stochastic mathematical models
- Curvature dependence of reaction-diffusion wave front speed with nonlinear diffusion.
- Parameter identifiability for stochastic processes in biological systems
- Surrogate models for accurate prediction and inference in mathematical biology
The supervisions listed above are only a selection.