معرفی
Arnab Ganguly is an Associate Professor in the Department of Mathematics at Louisiana State University (LSU), holding this position since August 2021. He previously served as an Assistant Professor at LSU (2015–2021) and the University of Louisville (2012–2015), with postdoctoral research at Brown University (2012) and ETH Zurich (2010–2012). His research focuses on stochastic processes, mathematical biology, and statistical inference, with applications in biochemical reaction networks and control systems. Ganguly holds a Ph.D. in Mathematics from the University of Wisconsin-Madison (2010), and earlier degrees from the Indian Statistical Institute, Kolkata (M.Stat, B.Stat).
His work bridges theoretical probability and applied mathematics, addressing challenges in stochastic modeling, parameter inference, and multiscale systems. Key themes include Markov chain approximations, large deviation principles, and nonparametric learning techniques. He has developed efficient simulation algorithms for complex biochemical networks and contributed to understanding enzyme kinetics through stochastic averaging methods.
Publications reflect a strong emphasis on stochastic differential equations, ergodic theory, and applications in systems biology. While no awards are explicitly mentioned, his extensive publication record and academic roles highlight significant contributions to the field. His research also explores hybrid spatial models, error analysis in stochastic simulations, and Bayesian nonparametric methods for dynamic systems.
