Summary
Dmitry Savostyanov is a numerical mathematician and lecturer with 13 years’ experience developing superfast algorithms for high-dimensional problems using tensor product formats, multilinear algebra and matrix analysis. He combines an active research portfolio—spanning tensor trains, Tucker formats and applications in quantum control and spin dynamics—with extensive university teaching and programme leadership in applied math and numerical methods. His work bridges theory and computation, delivering high-precision integral solvers and fractional-calculus methods that scale to large systems often encountered in quantum chemistry and signal separation. Based in Colchester, UK, he holds a PhD from the Institute of Numerical Mathematics and earned summa cum laude degrees from MIPT, reflecting a deep foundation in applied physics and mathematics. Colleagues value him for turning abstruse linear-algebraic ideas into practical, fast solvers and for mentoring students through complex computational projects.
13 years of coding experience
5 years of employment as a software developer
Master of Science (MS), Applied Physics and Mathematics, Summa cum laude, Master of Science (MS), Applied Physics and Mathematics, Summa cum laude at Moscow Institute of Physics and Technology (State University) (MIPT)
School-liceum 73 Tula, Russia
Doctor of Philosophy (PhD), Numerical mathematics, Candidate of Sciences, Doctor of Philosophy (PhD), Numerical mathematics, Candidate of Sciences at Institute of Numerical Mathematics, Russian Academy of Sciences
PGCert, Teaching and Learning in Higher Education, Merit, PGCert, Teaching and Learning in Higher Education, Merit at University of Brighton
English, Russian