Asher Mullokandov is a postdoctoral researcher in the Imperial College Mathematics Department, EPSRC Centre for Mathematics of Precision Healthcare. His research is focused on developing new mathematical techniques for dimensionality reduction and coarse graining of high-dimensional data sets, using tools from graph theory, statistical physics, and statistical inference. Asher obtained a BA in Physics and Mathematics from Columbia University, an MA in Physics from UC Santa Barbara, and PhD in Physics from Boston University, where he conducted research in applications of non-equilibrium statistical mechanics to complex systems, network theory analysis of financial systems, as well as in the application of methods from quantum information theory to the study of graphs and networks.
Junior L, Mullokandov A, Kenett D, 2015, Dependency Relations among International Stock Market Indices, Journal of Risk and Financial Management, Vol:8, Pages:227-265
et al., 2005, Extracting subnanometer single shells from ultralong multiwalled carbon nanotubes, Proceedings of the National Academy of Sciences of the United States of America, Vol:102, ISSN:0027-8424, Pages:14155-14158