Miklós Csörgő was born on March 12, 1932 in Egerfarmos. His parents’ names are Miklós and
Ilona (Veres). He married on August 10, 1957 (in Canada) to Anna Eszter (Tóth), and his children are Adria and Lilla.
After 5 years of primary school in Egerfarmos, he completed his secondary school studies in Mezőkövesd, at Szent László Grammar School, where he graduated in 1951. He continued his studies at the Karl Marx University of Economics in Budapest, where he graduated from the
statistics department in 1955 and became an assistant professor at the Department of Statistics.
He left Hungary in December 1956. He arrived in Canada on January 16, 1957, where he began studying mathematics at McGill University in Montreal in September 1957 and was within a year a graduate student. He received his Master of Arts (M.A.) degree in mathematics from
McGill University in 1961 and his doctorate in mathematics (Ph.D.) in 1963 as an NRC Canada Graduate Student Scholar. He continued his studies as a Postdoctoral Fellow and lecturer at Princeton University (1963-1965).
After two years at Princeton, he was appointed assistant professor at McGill University and associate professor in 1968. In 1972, he was appointed professor of mathematics and statistics at Carleton University in Ottawa, where he was a founding member (1982) and co-director of the Statistics and Probability Research Laboratory, which is now recognized as a world-renowned institute in these fields of research.
In 1969-1970, Miklós Csörgő was a visiting professor at the Mathematics Institute, University of Vienna, and in 1990-91 at the University of Utah. While in Vienna, he developed contacts with Hungarian mathematicians, first with Pál Révész at the Institute of Mathematical Research and then with others in the same place, with whom he has been working in close cooperation ever since, and later also with mathematicians from Szeged.
Miklós Csörgő’s work has, to date, been published in 156 scientific papers, including in many of the best international journals. He has also published five books. He was Associate Editor (1979-1981) of the Annals of Probability, a premier international journal, and for two years (1978-1980) was a Killam Senior Research Fellow, which is Canada’s highest national designation for basic research in the natural sciences. He was twice a Canada Council Fellow (1969-1970, 1976-1977).

Sheng Li is a Quantitative Foundation Associate Professor of Data Science and an Associate Professor of Computer Science (by courtesy) at the University of Virginia (UVA). He was an Assistant Professor of Data Science at UVA from 2022 to 2023, an Assistant Professor of Computer Science at the University of Georgia from 2018 to 2022, and a Data Scientist at Adobe Research from 2017 to 2018. He received his PhD degree in Computer Engineering from Northeastern University in 2017 and received his master’s degree and bachelor’s degree from School of Computer Science at Nanjing University of Posts and Telecommunications in 2012 and 2010, respectively. His recent research interests include Trustworthy AI, Causal Inference, Large Foundation Models, and Vision-Language Modeling. He has published over 180 papers, and has received over 10 research awards, such as the INNS Aharon Katzir Young Investigator Award, Fred C. Davidson Early Career Scholar Award, Adobe Data Science Research Award, Cisco Faculty Research Award, and SDM Best Paper Award. He currently serves as Associate Editor for six journals such as Transactions on Machine Learning Research (TMLR) and IEEE Trans. Neural Networks and Learning Systems (TNNLS), and serves as an Area Chair for IJCAI, NeurIPS, ICML, and ICLR.