Pascal Grange joined XJTLU in 2014. A theoretical physicist by training, he has worked in a variety of fields, such as mirror symmetry, option pricing and computational biology, applying geometric tools to the description of systems with many degrees of freedom. His current research interests include integrable probability and the analysis of large data sets from neuroscience, such as brain-wide expression profiles of genes and brain connectivity maps (for links to research and code, see pjgrange.github.io). He is the programme director of the BSc Applied Mathematics at XJTLU. He teaches quantum mechanics and introduction to orders of magnitude.
Ph.D. , Ecole polytechnique, - 2005
B.Sc , Ecole des ponts, Paris, France - 2003
M.Sc , University of Paris (7), - 2001
B.Sc , Ecole polytechnique, Paris - 2000
Computational postdoc, Cold Spring Harbor Laboratory - 2009 to 2013
Associate strategist, Goldman Sachs - 2008 to 2009
Postdoctoral fellow, Center for Mathematical Physics (Hamburg, Germany) - 2006 to 2008
Member, Institute for Advanced Study (Princeton) - 2005 to 2006
Associate, CERN Theory Division - 2001 to 2002
Grange, P., and Yao, X., 2021. Run-and-tumble particles on a line with a fertile site, Journal of Physics A: Mathematical and Theoretical 54 (32), 325007.
Grange, P., 2021. Aggregation with constant kernel under stochastic resetting, J. Phys. A: Math. Theor. https://doi.org/10.1088/1751-8121/ac0709
Grange, P., 2020. Susceptibility to disorder of the optimal resetting rate in the Larkin model of directed polymers, J. Phys. Commun. https://doi.org/10.1088/2399-6528/abb752
Grange, P., 2020. Entropy barriers and accelerated relaxation under resetting, Journal of Physics A: Mathematical and Theoretical, Volume 53, Number 37.
Grange, P., 2020. Non-conserving zero-range processes with extensive rates under resetting. Journal of Physics Communications 4 (4), 045006
Grange, P., 2019. Steady sates in a non-conserving zero-range process with extensive rates as a model for the balance of selection and mutation. Journal of Physics A, Mathematical and Theoretical 52 (36), 365601
Grange, P., 2018. Topology of the mesoscale connectome of the mouse brain. Accepted, Computational and Mathematical Biophysics.
Grange, Pascal 2017 'Quantum centipedes with strong global constraint', Journal of Physics A: Mathematical and Theoretical, vol. 50, no. 22, p. 5302
Grange, Pascal 2017 'Log-gamma directed polymer with one free end via coordinate Bethe Ansatz', Journal of Statistical Mechanics: Theory and Experiment, vol. , no. , p.
Hawrylycz, Michael, Miller, Jeremy & Menon, Vilas 2015 'Canonical genetic signatures of the adult human brain', Nature Neuroscience, vol. 18, no. , p. 1832-1844
Grange, Pascal, Menashe, Idan & Hawrylycz, Michael 2015 'Cell-type-specific neuroanatomy of cliques of autism-related genes in the mouse brain', Frontiers in Computational Neuroscience, vol. , no. , p.
Grange, Pascal, Bohland, J, Okaty, B, Sugino, K & Ng, L 2014 'A cell-type based model explaining co-expression patterns of genes in the brain', Proceedings of the National Academy of Sciences, vol. , no. , p.
Menashe, I, Grange, P, Larsen, E, Banerjee-Basu, S & Mitra, P 2013 'Co-expression profiling of autism genes in the mouse brain', PLoS Computational Biology, vol. , no. , p.
Grange, P, Hawrylycz, M & Mitra, P 2013 'Computational neuroanatomy and co-expression of genes in the adult mouse brain, analysis tools for the Allen Brain Atlas', Quantitative Biology, vol. , no. , p.
Grange, Pascal & Mitra, P 2012 'Computational neuroanatomy and gene expression: Optimal sets of marker genes for brain regions', IEEE Conference on Information Sciences and Systems, vol. , no. , p.
Grange, Pascal, and Sakura Schäfer-Nameki. "Towards mirror symmetry a la SYZ for generalized Calabi-Yau manifolds." Journal of High Energy Physics 2007.10 (2007): 052.
Grange, P., & Schäfer-Nameki, S. (2007). T-duality with H-flux: non-commutativity, T-folds and G× G structure. Nuclear Physics B, 770(1-2), 123-144.
Grange, Pascal & Minasian, R 2006 'Modified pure spinors and mirror symmetry', Nuclear Physics, vol. , no. , p.
Grange, Pascal & , R 2006 'Tachyon condensation and D-branes in generalized geometries', Journal of High Energy Physics, vol. , no. , p.
Grange, Pascal 2005 'Deformation of p-adic string amplitudes in a magnetic field', Physics Letters, vol. , no. , p.
Grange, Pascal 2005 'Tachyon potential in a magnetic field with anomalous dimensions', Journal of High Energy Physics, vol. , no. , p.
Grange, Pascal 2004 'Branes as stable holomorphic line bundles on the noncommutative torus', Journal of High Energy Physics, vol. , no. , p.
Grange, Pascal 2004 'Modified star products beyond the large B limit', Physics Letters, vol. , no. , p.
Grange, Pascal 2003 'Derivative corrections from boundary state computations', Nuclear Physics, vol. , no. , p.
(2014-2015) Computational neuroanatomy: mapping cell-type densities in the mouse brain, simulations from the Allen Brain Atlas In: 4th International Conference on Mathematical Modeling in Physical Sciences (IC-MSquare2015) 5–8 June 2015, Mykonos, Greece, pp.
Books, monographs, compilations and manuals
Grange P. Mathematical Models of Solids and Fluids: a short introduction. Liverpool University Press, 2021.
2011-2012, 42nd Annual Conference on Information Sciences and Systems, CISS 2008, Princeton / Computational neuroanatomy and gene expression: optimal sets of marker genes for brain regions
2014-2015, Neural Information Processing Systems (NIPS), Brain-omics workshop / Variability of gene expression in the adult mouse brain -- simulations from the sagittal and coronal Allen Brain Atlas
2014-2015, 4th International Conference on Mathematical Modeling in Physical Sciences (IC-MSquare2015) 5–8 June 2015, Mykonos, Greece / Computational neuroanatomy: mapping cell-type densities in the mouse brain, simulations from the Allen Brain Atlas
PGRS1912025, Condensation phenomena in out-of-equilibrium systems
RDF-14-01-34, Statistical modelling of the morphology of neurons and of brain connections
Professional service activities
2021 Europhysics Letters
2016 PLoS Computational Biology.
2015 PLoS Computational Biology.
2014 PLoS Computational Biology.
2012 Frontiers in Computational Neuroscience.
2006 Journal of High Energy Physics.
Final-Year Project, MTH301 (2014-present)
Explore Science (SCI001, taster module). Topic: orders of magnitude
MTH308, Mathematical Models of Solids and Fluids, module leader (2014-present)