Dr David Tourigny BSc PhD

Dr David Tourigny

School of Mathematics
Birmingham Fellow

Contact details

Address
School of Mathematics
Watson Building
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Tourigny is an applied mathematician with an interdisciplinary background in experimental, mathematical and computational biology. His research interests include the development and application of computational approaches to understand the collective behaviour of multi-cellular systems, and particularly the role of cellular heterogeneity in metabolism, cancer and clonal evolution.

Read more about Dr Tourigny on his personal website.

Qualifications

  • PhD, Trinity College, University of Cambridge, 2014
  • BSc, University of Leicester, 2011

Biography

Dr Tourigny is a Birmingham Fellow (Assistant Professor equivalent) within the School of Mathematics, University of Birmingham. Prior to joining Birmingham, he was a Research Scientist at the Irving Institute for Cancer Dynamics, Columbia University, New York, where he also held a Research Fellowship from the Simons Foundation. Before that, he was a Research Fellow in the Department of Applied Mathematics and Theoretical Physics, University of Cambridge where he also completed his PhD under the supervision of Venki Ramakrishnan and Garib Murshudov at the MRC Laboratory of Molecular Biology as a member of Trinity College.

Publications

Recent publications

Article

Skoufou-Papoutsaki, N, Kemp, R, Adler, S, Marks, K, Girard, A-C, Mehmed, S, Lourenço, FC, Moutin, EB, Ten Hoopen, R, Morrissey, E, Winton, DJ & Tourigny, DS 2026, 'Clonal biases dictate availability of colonic cancer driver mutations for transformation', Nature Communications. https://doi.org/10.1038/s41467-026-71944-5

Améstica-Toledo, N, Farías-Miño, M, Conejeros, R, Tourigny, D & Rivas-Astroza, M 2026, 'Thermodynamically Enabled and Reaction Attuned Estimation of Metabolic Fluxes', iScience. https://doi.org/10.1016/j.isci.2026.115822

Xu, M, Tourigny, D, Lippert, J, Crastin, A, Appenzeller, S, Asia, M, Podstawka, O, Smith, G, Elhassan, Y, Skordilis, K, Prete, A & Ronchi, C 2025, 'ccfDNA analysis for the classification of adrenocortical adenomas', Journal of endocrinological investigation, vol. 48, pp. 1207–1216. https://doi.org/10.1007/s40618-025-02540-5

Skoufou-Papoutsaki, N, Adler, S, Mehmed, S, Tume, C, Morrissey, E, Kemp, R, Girard, A-C, Moutin, EB, Chilamakuri, CSR, Miller, JL, Lindskog, C, Werle, F, Marks, K, Perrone, F, Zilbauer, M, Tourigny, DS & Winton, DJ 2025, 'Haploinsufficient phenotypes promote selection of PTEN and ARID1A-deficient clones in human colon', EMBO Reports. https://doi.org/10.1038/s44319-025-00373-0

Narayanankutty, K, Pereiro-Morejon, JA, Ferrero-Fernández, A, Onesto, V, Forciniti, S, del Mercato, LL, Mulet, R, De Martino, A, Tourigny, D & De Martino, D 2025, 'Metabolic coordination and phase transitions in spatially distributed multi-cellular systems', Communications Physics, vol. 8, 205. https://doi.org/10.1038/s42005-025-02133-x

Tourigny, D, Altieri, B, Secener, KA, Sbiera, S, Schauer, MP, Arampatzi, P, Herterich, S, Sauer, S, Fassnacht, M & Ronchi, C 2024, 'Cellular landscape of adrenocortical carcinoma at single-nuclei resolution', Molecular and Cellular Endocrinology, vol. 590, 112272. https://doi.org/10.1016/j.mce.2024.112272

Tourigny, D, Zucker, M, Kim, M, Russo, P, Coleman, J, Lee, C-H, Carlo, M, Chen, Y-B, Hakimi, AA, Kotecha, R & Reznik, E 2022, 'Molecular characterization of the tumor microenvironment in renal medullary carcinoma', Frontiers in Oncology, vol. 12, 910147. https://doi.org/10.3389/fonc.2022.910147

Tourigny, D 2021, 'Cooperative metabolic resource allocation in spatially-structured systems', Journal of Mathematical Biology, vol. 82, no. 1-2, 5. https://doi.org/10.1007/s00285-021-01558-6

Tourigny, D, Goldberg, A & Karr, J 2021, 'Simulating single-cell metabolism using a stochastic flux-balance analysis algorithm', Biophysical Journal, vol. 120, no. 23, pp. 5231-5242. https://doi.org/10.1016/j.bpj.2021.10.038

Tourigny, D, Muriel, J & Beber, M 2020, 'dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python', Journal of Open Source Software. https://doi.org/10.21105/joss.02342

Tourigny, D 2020, 'Dynamic metabolic resource allocation based on the maximum entropy principle', Journal of Mathematical Biology. https://doi.org/10.1007/s00285-020-01499-6

Tourigny, D 2019, 'Energetic substrate availability regulates synchronous activity in an excitatory neural network', PLOS One. https://doi.org/10.1371/journal.pone.0220937

Tourigny, D 2017, 'Deformed Hamiltonian vector fields and Lagrangian fibrations', Journal of Geometry and Physics. https://doi.org/10.1016/j.geomphys.2017.07.017

Abstract

Tourigny, D, Tucci, L, Elhassan, Y, Skordilis, K, Asia, M, Prete, A, Crastin, A, David Onesimu, ELS, Taylor, AE, Chortis, V & Ronchi, CL 2025, 'OR32-07 Integrated liquid biopsy by ccfDNA and urinary steroid metabolomics for longitudinal monitoring of adrenocortical carcinoma', Journal of the Endocrine Society, vol. 9, no. Supplement_1, bvaf149.284, pp. A153-A154. https://doi.org/10.1210/jendso/bvaf149.284

Letter

Mariniello, K, Pittaway, JFH, Altieri, B, Borges, KS, Hadjidemetriou, I, Ribeiro, C, Ruiz-Babot, G, Tourigny, D, Lim, JA, Foster, J, Cleaver, J, Sosabowski, J, Rahman, N, Doroszko, M, Hantel, C, Sigala, S, Abate, A, Tamburello, M, Kiseljak-Vassiliades, K, Wierman, M, Hall, C, Parvanta, L, Abdel-Aziz, TE, Chung, T-T, Di Marco, A, Palazzo, F, Gomez-Sanchez, CE, Taylor, DR, Rayner, O, Ronchi, C, Gaston-Massuet, C, Sbiera, S, Drake, WM, Rognoni, E, Kroiss, M, Breault, DT, Fassnacht, M & Guasti, L 2025, 'Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma', Cancer Communications, vol. 45, no. 6, pp. 663-668. https://doi.org/10.1002/cac2.70012

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