Anirban Mondal

Professor advancing research in the realm of statistical methodologies, Anirban Mondal serves as an Associate Professor in the College of Arts and Sciences at Case Western Reserve University. With a Ph.D. in Statistics from Texas A&M University, he brings a wealth of knowledge and expertise to his academic and research endeavors. His scholarly pursuits are deeply rooted in the fields of Bayesian Inference and Markov Chain Monte Carlo Methods, where he seeks to develop innovative approaches to complex statistical challenges. Professor Mondal's research interests are diverse and interdisciplinary, spanning Spatial Statistics, Inverse Problems, and Uncertainty Quantification. His work often involves the application of advanced statistical techniques to real-world problems, providing valuable insights and solutions across various domains. He is particularly interested in the integration of data mining with statistical inference, aiming to enhance the understanding and interpretation of large datasets. In addition to his research, Professor Mondal is dedicated to teaching and mentoring the next generation of statisticians and data scientists. He is committed to fostering a collaborative learning environment where students are encouraged to explore and innovate. Through his courses and guidance, he aims to equip students with the skills and knowledge necessary to tackle the statistical challenges of the future.