Julian Shillcock


Simulation
Neuroscience
Julian Shillcock is a Scientific Collaborator in the Simulation Neuroscience Division.

Julian uses mesoscale simulation techniques, together with theoretical analysis to construct dynamical models of sub-cellular processes, from the fast single-molecule scale of synaptic vesicle fusion to the slow time-scales of domain formation in membranes and dendritic spine plasticity. Of particular interest is how compositional fluctuations in membranes and the cytoplasm contribute to neuronal spine plasticity. He also teaches a graduate course at EPFL.

Prior to joining Blue Brain, he was an Associate Professor at MEMPHYS in the Department of Physics and Chemistry, University of Southern Denmark. Here, he performed large-scale, parallel mesoscopic simulations of lipid membranes and their interactions with nanoparticles.

Before moving to Denmark, he was a Group Leader at the Max Planck Institute of Colloids and Interfaces, Germany for five years applying coarse-grained simulation techniques – principally Dissipative Particle Dynamics (DPD) and Brownian Dynamics – to equilibrium and dynamic properties of fluid lipid membranes. A major target of this research was to reveal the molecular rearrangements that occur during vesicle fusion. During this time, he developed a commercially-available, parallel DPD code that is being used by several universities under licence from the Max Planck Society.

He has also worked in industry (British Aerospace and Accelrys, Inc.), designing and writing software for communication satellite simulations.

Julian received his PhD at Simon Fraser University in Canada for work on Monte Carlo simulations of liquid crystal phase transitions and the elastic properties of fluid and polymerized membranes. His MSc in theoretical nuclear physics is also from Simon Fraser University, while he gained his BSc in theoretical physics from Kings College, London.

In his spare time, Julian hikes, skis and enjoys reading and playing the guitar.

Selected Publications

Mechanism of Shiga Toxin Clustering on Membranes. W. Pezeshkian, H. Gao, S. Arumugam, U. Becken, P. Bassereau, J-C. Florent, J. H. Ipsen, L. Johannes, J. C. Shillcock, ACS Nano DOI: 10.1021/acsnano.6b05706 (2016) http://pubs.acs.org/doi/abs/10.1021/acsnano.6b05706

Reconstructing the Brain: from Image Stacks to Neuron Synthesis J. C. Shillcock, M. Hawrylycz, S. Hill, and H. Peng, Brain Informatics DOI: 10.1007/s40708-016-0041-7 (2016)
http://link.springer.com/article/10.1007/s40708-016-0041-7

Framework for Efficient Synthesis of Spatially Embedded Morphologies. L. Vanherpe, L. Kanari, G. Atenekeng, J. Palacios, J. C. Shillcock, Phys. Rev. E 94, 023315-1 – 023315-9 (2016)
http://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.023315

Membrane Invagination Induced by Shiga toxin B-subunit: From Molecular Structure to Tube Formation. W. Pezeshkian, A. G. Hansen, L. Johannes, H. Khandelia, J. C. Shillcock, P. B. S. Kumar, J. H. Ipsen, Soft Matter 12, 5164-5171 (2016)
http://pubs.rsc.org/en/Content/ArticleLanding/2016/SM/c6sm00464d#!divAbstract

Quantifying Topological Invariants of Neuronal Morphologies. L. Kanari, P. Dłotko, M. Scolamiero, R. Levi, J. C. Shillcock, K. Hess, H. Markram, Neuroinformatics (submitted 2016)