Nathaniel Bastian

Instructor of Supply Chain and Information Systems
Department: Supply Chain and Information Systems
Office: 220 Business Building
Phone: 570-809-3619
Fax: N/A
Member of Faculty Since: 2016


Prof. Bastian is a leader, practitioner, researcher, and educator of quantitative, economic, computational, analytic, data-driven, and decision-centric methods to support the improvement of operational processes, decision-making, performance, and management in healthcare, human resources, military operations, national defense, cyber security and logistics. He is an experienced operations researcher, data scientist, decision analyst and industrial engineer who discovers and translates data-driven, actionable insights into effective decisions using mathematics, statistics, engineering, economics, data science, and computing to develop decision-support models for descriptive, predictive and prescriptive analytics. Prof. Bastian holds a Ph.D. degree in industrial engineering and operations research from the Pennsylvania State University, M.Eng. degree in industrial engineering from Penn State, M.S. degree in econometrics and operations research from Maastricht University, and B.S. degree in engineering management (electrical engineering) with honors from the U.S. Military Academy at West Point.

Prof. Bastian has co-authored over 35 peer-reviewed journal articles, one book chapter, and one textbook. He has developed and/or taught graduate-level courses in management science, machine learning, simulation and modeling techniques, Monte Carlo methods, business analytics and data mining, data science, operations risk management, managerial decision modeling, decision analytics, and optimization methods. Prof. Bastian is the recipient of numerous academic awards and honors, to include: U.S. Department of State Fulbright U.S. Student Scholarship (2008), National Science Foundation Graduate Research Fellowship (2011), Institute for Operations Research and the Management Sciences (INFORMS) Seth Bonder Scholarship for Applied Operations Research in Military Applications (2013), Military Operations Research Society Wayne P. Hughes Junior Analyst Award (2014), INFORMS Seth Bonder Foundation Bonder Scholar Research Award (2014, 2016), Institute of Industrial and Systems Engineers Gilbreth Memorial Fellowship (2015), GEN Omar N. Bradley Foundation Officer Research Fellowship in Mathematics (2016), INFORMS Military Applications Society Koopman Prize (2016), INFORMS George B. Dantzig Dissertation Award [Honorable Mention] (2016).

Current Research

·   Multiple objective optimization, stochastic programming, and sequential decision-making under uncertainty

·   Predictive modeling, applied econometrics, statistical computing, and high-performance analytics for big data

·   Productivity analysis, efficiency/performance measurement, cost-effectiveness analysis, and economic modeling

·   Network science, graph mining and social network analysis in real-world, complex networks


health systems engineering, health analytics, health logistics, health services research, health economics and policy
optimization, simulation, decision analysis, production economics, business analytics, management science
applied statistics, machine learning, statistical computing, applied econometrics, data science, big data


Engineering Management Journal (Area: Decision Making and Risk Management)

IISE Transactions on Healthcare Systems Engineering (Area: Health Care Operations Management)


Ph.D., Industrial Engineering and Operations Research, Pennsylvania State University,

M.Eng., Industrial Engineering, Pennsylvania State University,

M.S., Econometrics and Operations Research, Maastricht University,

B.S., Engineering Management (Electrical Engineering) with Honors, U.S. Military Academy at West Point,


BAN 888, Implementing Analytics for Business

DAAN 881, Data-Driven Decision Making