Stanislav Sobolevsky is an Associate Professor of Practice at the Center for Urban Science and Progress at New York University and a Research Affiliate at the MIT Senseable City Lab. He holds a Ph.D (1999) from Grodno State University and a Doctor of Science (2009) in Mathematics from the National Science Academy of Belarus.
Dr. Sobolevsky teaches various data science courses and applies his fundamental quantitative background to studying human behavior in urban context through its digital traces: spatio-temporal big data created by various aspects of human activity. His research interests cover network science, big data analytics, modeling of complex systems and the theory of differential equations. He is the author of one monograph, two textbooks and over 50 peer-reviewed papers in mathematics, network science and mathematical modeling.
His former professional experience includes research at MIT as well as research, teaching and administrative positions at Belarusian State University and the National Academy of Sciences of Belarus. Dr. Sobolevsky received a Silver Medal winner in the 1993 and 1994 International Math Olympiads, the best research amongst young scientist award in 2000 (Belarus), President’s Foundation Fellowship awards for both Ph.D (2001) and Doctor of Science (2010) researchers, and the 2015 award for the LinkedIn Economic Graph Challenge. He also received the Best Paper award at the Academy of Science & Engineering International Conference of Data Science in 2015.