Biography

Mike Chappell was appointed to the academic staff of the School of Engineering in 1990. He has teaching responsibilities in the general area of engineering mathematics and in the specialist area of mathematical modelling and simulation. He is presently the MEng Course Manager for all streams of Engineering within the School.

Research Interests

His research expertise lies mainly in the modelling and analysis of biomedical, pharmacokinetic and biological processes. Much of the emphasis of this work has been on compartmental modelling and the application of techniques in system dynamics, non- linear systems, control theory and system identification. He has particular expertise in structural identifiability analysis, that is determining whether the parameters of a postulated model can be estimated if perfect data are available. Such analysis is an important prerequisite for system identification, parameter estimation and experiment design. Over recent years his research has centred on techniques for analysing the structural identifiability of non-linear systems and computer algebra/symbolic computation packages have proved invaluable tools in this context. He also has an interest in the robust simulation of highly stiff systems.

His research has been performed in close collaboration with academic, industrial and hospital-based research groups and funding has been received from a variety of research councils including the EPSRC, the BBSRC and the MRC. He is currently Deputy Director of the University of Warwick's Mathematics in Medicine Initiative (MiMI) and Co-director of the University's embryonic Centre for Medical Science and Technology. He was one of the recipients of the 2001 Snell Premium from the Institute of Electrical Engineers for a paper on wavelet analysis of heart rate variability and its application in the detection of sleep apnoea.

Teaching Interests

Selected Publications

• Castaldo, Rossana, Chappell, M. J., Byrne, H., Innominato, Pasquale F., Hughes, S., Pescapè, A., Pecchia, Leandro, 2021. Detection of melatonin-onset in real settings via wearable sensors and artificial intelligence : a pilot study. Biomedical Signal Processing and Control, 65
• Catherwood, Anita C., Lloyd, Adrian J., Tod, Julie A., Chauhan, Smita, Slade, Susan E., Walkowiak, Grzegorz P., Galley, Nicola F., Punekar, Avinash S., Smart, Katie, Rea, Dean, Evans, Neil D., Chappell, Michael J., Roper, David I., Dowson, Christopher G., 2020. Substrate and stereochemical control of peptidoglycan cross-linking by transpeptidation by Escherichia coli PBP1B. Journal of the American Chemical Society, 142 (11), pp. 5034-5048
• Villaverde, Alejandro F., Evans, Neil D., Chappell, M. J. (Michael J.), Banga, Julio R., 2019. Input-dependent structural identifiability of nonlinear systems. IEEE Control Systems Letters, 3 (2), pp. 272-277
• Cucurull-Sanchez, Lourdes, Chappell, Michael J., Chelliah, Vijayalakshmi, Amy Cheung, S. Y., Derks, Gianne, Penney, Mark, Phipps, Alex, Malik-Sheriff, Rahuman S., Timmis, Jon, Tindall, Marcus J., Graaf, Piet H., Vicini, Paolo, Yates, James W. T., 2019. Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network. CPT: pharmacometrics & systems pharmacology, 8 (5), pp. 259-272
• Kendrick, Felicity, Evans, Neil D., Berlanga, Oscar, Harding, Stephen J., Chappell, Michael J., 2019. Parameter identification for a model of neonatal Fc receptor-mediated recycling of endogenous immunoglobulin G in humans. Frontiers in Immunology, 10
• Carter, Simon J., Ferecskó, Alex S., King, Lloyd, Ménochet, Karelle, Parton, Ted, Chappell, Michael J., 2019. A mechanistic modelling approach for the determination of the mechanisms of inhibition by cyclosporine on the uptake and metabolism of atorvastatin in rat hepatocytes using a high throughput uptake method. Xenobiotica
• Bunte, Kerstin, Smith, David J., Chappell, M. J. (Michael J.), Hassan-Smith, Zaki K., Tomlinson, Jeremy W., Arlt, Wiebke, Tino, Peter, 2018. Learning pharmacokinetic models for in vivo glucocorticoid activation. Journal of Theoretical Biology, 455, pp. 222-231
• Villaverde, Alejandro F., Evans, Neil D., Chappell, Michael J., Banga, Julio R., 2018. Sufficiently exciting inputs for structurally identifiable systems biology models. IFAC-PapersOnLine, 51 (19), pp. 16-19
• Kendrick, Felicity, Evans, Neil D., Arnulf, Bertrand, Avet-Loiseau, Hervé, Decaux, Olivier, Dejoie, Thomas, Fouquet, Guillemette, Guidez, Stéphanie, Harel, Stéphanie, Hebraud, Benjamin, Javaugue, Vincent, Richez, Valentine, Schraen, Susanna, Touzeau, Cyrille, Moreau, Philippe, Leleu, Xavier, Harding, Stephen, Chappell, M. J. (Michael J.), 2017. Analysis of a compartmental model of endogenous immunoglobulin G metabolism with application to multiple myeloma. Frontiers in Physiology, 8
• Trägårdh, Magnus, Chappell, M. J. (Michael J.), Palm, Johan E., Evans, Neil D., Janzén, David, Gennemark, Peter, 2017. Input estimation for extended-release formulations exemplified with exenatide. Frontiers in Bioengineering and Biotechnology, 5
• Wong, Hin Kwan, Tiffin, Paul A., Chappell, M. J. (Michael J.), Nichols, Thomas E., Welsh, Patrick R., Doyle, Orla M., Lopez Kolkovska, Boryana Cristina, Inglis, Sarah K., Coghill, David, Shen, Yuan, Tiño, Peter, 2017. Personalized medication response prediction for attention-deficit hyperactivity disorder : learning in the model space vs. learning in the data space. Frontiers in Physiology, 8
• Chatzistefani, Nefeli, Chappell, M. J. (Michael J.), Hutchinson, Charles E., Kletzenbauer, S., Evans, Neil D., 2017. A mathematical model characterising Achilles tendon dynamics in flexion. Mathematical Biosciences, 284, pp. 92-107

Projects and Grants