Sidney Resnick

Sidney Resnick is the Lee Teng Hui Professor of Engineering at Cornell University's School of Operations Research and Information Engineering (ORIE). He holds academic affiliations spanning multiple institutions, including visiting roles at the University of Amsterdam, Australian National University, and Technion. His career includes a tenure as Director of ORIE until 2004.

Resnick earned his BS from Queens College, NYC, and his PhD from Purdue University. His research focuses on applied probability, heavy-tailed phenomena, stochastic processes, and their applications in network modeling and finance. A key theme is the study of extreme values and heavy-tailed distributions, with practical implications for risk assessment and data analysis.

His publications span over 160 papers and four books, including seminal works like *Heavy Tail Phenomena: Probabilistic and Statistical Modeling* and *Adventures in Stochastic Processes*. His work bridges theoretical foundations (e.g., regular variation, point processes) with real-world applications in data networks and finance.

Resnick's awards include Fellowship from the Institute of Mathematical Statistics and the Oliver Pennock Distinguished Service Award. He has contributed editorially to journals like *Annals of Applied Probability* and series like Birkhauser's Progress in Probability.

His research has explored preferential attachment networks, hidden regular variation detection, and extreme value theory. Grants and collaborations include MURI projects on multivariate heavy-tailed phenomena. Resnick’s lab and team focus on advancing stochastic modeling methodologies for complex systems.