Sergey Simakov is the deputy chair of the department of computational physics, at Moscow Institute of Physics and Technology, associated professor of the department of computational physics at Moscow Institute of Physics and Technology, senior researcher of Laboratory of human physiology of Moscow Institute of Physics and Technology, senior researcher of Laboratory of mathematical modelling in medicine of Sechenov University and associated professor of the department of mathematics, mechanics and mathematical modelling at Sechenov University. His research interests are in numerical methods, wave processes in a network, biological flows including cardiovascular and respiratory systems, biomedical engineering.
Rongliang Chen, PhD, associate professor. He received his B.Sc. in applied mathematics from Hunan University (2006.07) and PhD in computational mathematics from a joint program between Hunan University and University of Colorado Boulder (2012.07). He worked as visiting scholar at University of Colorado Boulder from 9/2014 to 2/2015 and 7/2017 to 7/2018 and Hong Kong University of Science and Technology from 11/2016 to 12/2016. He mainly focus on the development of parallel fully implicit monolithic algorithms and software based on unstructured meshes for engineering applications. His research interests include: high performance computing theory, algorithms and software, fluid, structure and fluid-structure interaction computations, large-scale numerical optimization, etc. Research areas include blood flow simulations, aerodynamic analysis of aerospace vehicles, aerodynamic optimal design for automobiles, high-speed trains and wind turbines, large scale pollutant dispersion simulations, and structural mechanics analysis of high-rise buildings etc. He has experience in software and algorithm development on many supercomputers such as Sunway TaihuLight, Tianhe II, Sugon Nebula and Sugon 7000 etc.
Igor Konshin is an associate Professor at Sechenov University and Moscow Institute of Physics and Technology (National Research University). His research interests are mathematical modeling, numerical linear algebra, high-performance computing. Since 1987 I.Konshin has published over 50 scientific papers on parallel computing and computer science.
http://dodo.inm.ras.ru/konshin/
Dr. Peng Yin was awarded B.S. degree in University of Science and Technology of China in 2009, and PhD degree in Statistics in Newcastle upon Tyne, UK in Feb, 2014. Dr. Yin did post-doctoral research in statistical genetics in University of Liverpool during 2014 and 2017, and joined SIAT in March, 2017. Dr. Yin has published papers in high-impact journals, such as Statistical Methods in Medical Research、Lancet Respiratory Medicine and presented the research work in international conferences, such as ASHG, EMGM, ICHG，BIBM. His research interest includes Biostatistics, Statistical Modelling in Genetics, and Machine Learning in big healthcare data, etc.