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Sarah S. Lam

Professor, Industrial and Systems Engineering Graduate Director

Systems Science and Industrial Engineering


System modeling, analysis, and optimization using computational intelligence (neural networks, meta-heuristics, and fuzzy logic), stochastic simulation, and techniques from probability and statistics (design of experiments, regression, analysis of variance, principal components analysis etc.).

Areas of interests include: modeling and simulation, business analytics, medical informatics, decision support systems, health systems, information system design, and engineering system design.

Assistant Director for Systems Analysis and Modeling, Watson Institute for Systems Excellence

Personal website


  • MS, University of Delaware
  • PhD, University of Pittsburgh

Research Interests

  • Neural networks
  • Evolutionary optimization
  • Machine learning
  • Simulation
  • System modeling and optimization


  • Chancellor's Award for Excellence in Teaching, 2012