In 2005, the Applied Probability Society initiated the annual Markov Lecture, to be delivered in the fall of each year at the INFORMS Annual Meeting. The intent is to both honor the associated speaker and to bring to the APS membership topical work of the highest calibre in our discipline. The Markov Lecturer is selected by the APS prize committee.
2022 Markov Lecturer
Professor of Mathematics
Massachusetts Institute of Technology
2022 Markov Lecture Discussant
Assistant Professor of Operations Research & Financial Engineering
Associated Faculty in the Center for Statistics and Machine Learning
Title: Stochastic Models of Information on Networks and Their Inference
Abstract: The talk will overview some of the models on information on networks studied in statistical physics, the social sciences, biological sciences and theoretical computer science. The talk will emphasize the role of the mathematical properties of these models in studying their inference.