Dr Louis Gall

Dr Louis Gall

Department of Metabolism and Systems Science
SMQB Centre Fellow

Contact details

Address
Centre for Systems Modelling and Quantitative Biomedicine
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Louis Gall is a Centre Fellow at the Centre for Systems Modelling and Quantitative Biomedicine (SMQB) with an interest in agent-based modelling, quantitative systems pharmacology/toxicology (QSP/T) and mathematical modelling of intracellular protein networks such as the circadian clock and cell cycle. His work uses mathematical modelling to make quantitative predictions of the toxic side effects of drugs on patients and study ways to mitigate this toxicity, with a particular focus on agent-based modelling.

ORCID ID: 0000-0002-1805-2357

Qualifications

  • PhD in Theoretical Physics, University of Liverpool, 2019
  • MSc in Quantum Fields and Fundamental Forces, Imperial College London, 2015
  • MSci in Physics with Theoretical Physics, Imperial College London, 2014

Biography

Louis began his research career as a PhD student in Theoretical Physics (studying supersymmetry under Dr Thomas Mohaupt at the University of Liverpool). After finishing his PhD he transitioned to Mathematical Biology, undertaking a short postdoctoral project looking at intracellular circadian clocks with Dr Mirela Domijan and Dr Vanja Pekovic-Vaughan at the University of Liverpool.

This was followed by a postdoctoral project working on agent-based models of the gastrointestinal epithelium with the AstraZeneca postdoctoral program, supervised by Dr Carmen Pin. Louis then joined AstraZeneca to continue his gut research and implement QSP/T solutions in the drug development pipeline.

Louis returned to academia in 2024, joining SMQB at the University of Birmingham as a Centre Fellow, to continue his research into agent-based models as representations of biological tissues.

Research

  • Agent-based modelling
  • Quantitative Systems Pharmacology/Toxicity (QSP/T)
  • Gastrointestinal biology
  • Mathematical modelling of intracellular protein networks

Research groups and centres

Centre for Systems Modelling and Quantitative Biomedicine

Publications

Recent publications

Article

Gall, L, Jardi, F, Lammens, L, Piñero, J, Souza, TM, Rodrigues, D, Jennen, DGJ, de Kok, TM, Coyle, L, Chung, SW, Ferreira, S, Jo, H, Beattie, KA, Kelly, C, Duckworth, CA, Pritchard, DM & Pin, C 2023, 'A dynamic model of the intestinal epithelium integrates multiple sources of preclinical data and enables clinical translation of drug-induced toxicity', CPT: Pharmacometrics and Systems Pharmacology, vol. 12, no. 10, pp. 1511-1528. https://doi.org/10.1002/psp4.13029

Gall, L, Duckworth, C, Jardi, F, Lammens, L, Parker, A, Bianco, A, Kimko, H, Pritchard, DM & Pin, C 2023, 'Homeostasis, injury, and recovery dynamics at multiple scales in a self-organizing mouse intestinal crypt', eLife, vol. 12, e85478. https://doi.org/10.7554/eLife.85478

Gall, L & Mohaupt, T 2021, 'Supersymmetry algebras in arbitrary signature and their R-symmetry groups', Journal of High Energy Physics, vol. 2021, no. 10, 203. https://doi.org/10.1007/JHEP10(2021)203

Cortés, V, Gall, L & Mohaupt, T 2020, 'Four-dimensional vector multiplets in arbitrary signature (I)', International Journal of Geometric Methods in Modern Physics, vol. 17, no. 10, 2050150. https://doi.org/10.1142/S0219887820501509

Cortés, V, Gall, L & Mohaupt, T 2020, 'Four-dimensional vector multiplets in arbitrary signature (II)', International Journal of Geometric Methods in Modern Physics, vol. 17, no. 10, 2050151. https://doi.org/10.1142/S0219887820501510

Gall, L & Mohaupt, T 2018, 'Five-dimensional vector multiplets in arbitrary signature', Journal of High Energy Physics, vol. 2018, no. 9, 53. https://doi.org/10.1007/JHEP09(2018)053

Review article

Uatay, A, Gall, L, Irons, L, Tewari, SG, Zhu, X, Gibbs, M & Kimko, H 2024, 'Physiological Indirect Response Model to Omics-Powered Quantitative Systems Pharmacology Model', Journal of Pharmaceutical Sciences, vol. 113, no. 1, pp. 11-21. https://doi.org/10.1016/j.xphs.2023.10.032

Verma, M, Gall, L, Biasetti, J, Di Veroli, GY, Pichardo-Almarza, C, Gibbs, MA & Kimko, H 2023, 'Quantitative systems modeling approaches towards model-informed drug development: Perspective through case studies', Frontiers in Systems Biology, vol. 2, 1063308. https://doi.org/10.3389/fsysb.2022.1063308

View all publications in research portal