Kashif Sadiq

My research interests are in combining theoretical and computational physics methods with artificial intelligence to understand high-dimensional chemical and biological processes that span several spatiotemporal scales. I apply these to develop practical applications in personalised medicine, drug discovery, clinical decision support and synthetic virology/nanotechnology. I bring several years experience in computational biophysics/biochemistry and high-performance computing (HPC) in all-atom molecular dynamics (MD) simulations, coarse-grained MD simulations, chemical reaction kinetics, reaction diffusion approaches and machine/deep learning methods. Experience includes GPCR, HIV protein and RNA modelling, autocatalysis, conformational kinetics, macromolecular structure prediction, virus morphology, rational drug design, self-assembly of soft condensed bio-matter, binding free energy and kinetics methods, advanced sampling techniques in MD, prediction of resistance mutations and personalized medicine from genotypic assays. Skills include full lifecycle scientific study implementation, formulation and numerical solving of differential equations for complex biophysical processes, programming in C++, Perl, Tcl, Matlab and Linux shell scripting, high throughput simulation on heterogeneous parallel HPC (including GPU compute) platforms and worldwide distributed computing infrastructures (GPUGRID.net), article writing (25 peer-reviewed publications, 14 as first author, 6 as corresponding author), presenting, mentoring and research team leadership. I have served in a voluntary capacity as alternative energy consultant for the IAAAE European Chapter and in various roles for Humanity First.