Ton Dieker

Ton Dieker is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University's School of Engineering and Applied Science. He is a DSI Member and affiliated with the Center for Financial and Business Analytics. His research focuses on stochastic models, simulation techniques, and high-dimensional stochastic analysis. Dieker holds a Master’s in Operations Research from Vrije Universiteit Amsterdam (2002) and a PhD in Mathematics from the University of Amsterdam (2006).

Dieker’s research explores stochastic processes, queueing theory, and rare-event simulation. He has contributed to methodologies like QPLEX for stochastic systems and advanced techniques in sequential analysis and exact simulation. His work bridges theoretical foundations with computational applications, addressing challenges in large-scale networks and high-dimensional problems.

• Education:
  • PhD in Mathematics, University of Amsterdam, 2006
  • Master’s in Operations Research, Vrije Universiteit Amsterdam, 2002

Dieker’s articles emphasize computational modeling, stochastic calculus, and optimization, reflecting his focus on bridging theory and practice. His work often addresses efficiency in simulation, exactness in algorithms, and scalability in complex systems.

• Awards:
  • Goldstine Fellowship (IBM Research)
  • NSF CAREER Award
  • Erlang Prize (INFORMS)
  • Fouts Family Early Career Professorship (Georgia Tech)

He serves on editorial boards for Operations Research and Mathematics of Operations Research. His research also addresses capacity management in stochastic networks and applications in cloud computing and commodity sourcing.