Nathaniel D. Bastian, PhD is a leader, practitioner, researcher, and educator of mathematical, computational, analytical, data-driven, and decision-centric methods to support the improvement and enhancement of decision-making in cyber security, national defense, military operations, human resources and manpower, healthcare, logistics, energy and finance. He is a decision analytics professional with expertise in the scientific discovery and translation of actionable insights into effective decisions using algorithms, techniques, tools and technologies from operations research, data science, artificial intelligence, systems engineering, and economics to research, design, develop, and deploy intelligent decision-support models, tools and systems for descriptive, predictive and prescriptive analytics. He has authored over 60 refereed journal and conference papers, several book chapters, and one textbook. He is the recipient of numerous academic awards, honors and grants, to include a Fulbright Scholarship and National Science Foundation Graduate Research Fellowship. He serves as an Associate Editor for four journals, as well as Referee for over 20 journals. He is an active member of MORS, INFORMS, ACM, IEEE, SIAM, and AAAI.


– Optimization, simulation, statistical computing, machine/deep learning, intelligent systems, big data analytics

– Decision science, business analytics, applied econometrics, production economics, engineering management


– Computational stochastic optimization and robust learning for making inferences and decisions under uncertainty

– Multiple objective optimization and federated machine learning for distributed resource allocation decision-making

Education History

  • B.S. Engineering Management (Electrical Engineering) w/ Honors, United States Military Academy
  • M.S. Econometrics and Operations Research, Maastricht University
  • M.Eng. Industrial Engineering, Pennsylvania State University
  • Ph.D. Industrial Engineering and Operations Research, Pennsylvania State University

Work Experience

Adjunct Professor, Johns Hopkins University