Teaching

Over my academic tenure, I have developed and instructed courses across undergraduate and graduate levels, focusing on data science, simulation modeling, and decision analysis.

University of Pittsburgh (Department of Industrial Engineering)

Graduate Courses

• IE 2064: Data Science
  • Years Taught: 2014, 2015, 2016, 2017, 2018, 2019, 2020
• IE 2088: Discrete-event Simulation Modeling and Analysis
  • Years Taught: 2011, 2013, 2014, 2017, 2018, 2019
• IE 2100: Supply Chain Analysis
  • Years Taught: 2015, 2017, 2018
• IE 2073: Design of Experiments
  • Year Taught: 2010

Undergraduate & Dual-Level Courses

• IE 1086 / 2086: Decision Models
  • Years Taught: 2012, 2013, 2014, 2015, 2019
• IE 0015: Information Systems Engineering
  • Years Taught: 2015, 2016, 2017, 2018
• IE 1090: Industrial Engineering/Health System Engineering Capstone Projects
  • Years Taught: 2013, 2016, 2017, 2018, 2019, 2020
  • Supervised over 100 industry-sponsored University of Pittsburgh Industrial Engineering and Graduate School of Public Health Health Administration - Health Systems Engineering capstone projects.

Guest Lectures & Executive Education

• Carnegie Mellon University (Tepper School of Business)
  • Topic: “Where should analysts live: Organizing analytics in the Enterprise” (Business Analytics: Data-informed Decision Making, Executive Education, Dr. Willem-Jan Van Hoeve, November 2025)
• University of Alberta (Alberta School of Business)
  • Topic: “Where should the analysts live: Organizing analytics within the enterprise” (Healthcare Analytics Dr. Saied Samiedaluie, Guest Lecture, May 2026)
• Columbia University (IEOR Department)
  • Topic: “Development and deployment of advance operational planning for disaster response for the American Red Cross” (Operations Research for Public Policy Dr. Eric Stratman, Guest Lecture, March 2026)
• Chulalongkorn University (College of Public Health Sciences)
  • Topic: “AI and its implications in public health: The application of Generative AI in public health analytics”, lecture, Chulalongkorn University College of Public Health Sciences, January 3, 2025.
• Chiang Mai University (Faculty of Science, Department of Mathematics)
  • Topic: “Uses and limitations of Generative AI in the mathematical sciences”, lecture, Chiang Mai University Department of Mathematics, December 24, 2024.
• Carnegie Mellon University
  • Topic: “Information during a disaster: The development of advanced operational planning tools and models”. Guest lecture in 94-465 Data Analytics for Decision Making, Professor Barrios, Carnegie Mellon University, Heinz College of Information Systems and Public Policy, April 5, 2024
• University of Pittsburgh
  • Topic: “The development of Advance Operational Planning for national disaster response at the American Red Cross.” Guest lecture in IE 1171 Data for the Public Good, Professor Amin Rahimian, University of Pittsburgh, September 17, 2023.
• Tianjin University
  • Topic: “Improving Emergency Department Physician Staffing Using Predictive Models and Simulation”, Tianjin University, College of Management and Economics, Department of Industrial Engineering, June 2018.
• Chulalongkorn University
  • Topic: “Compartmental models for infectious disease control”, Chulalongkorn University College of Public Health Sciences, Bangkok, Thailand, February 10, 2017.
• Kasetsart University
  • Topic: “Workshop on Bayesian MCMC methods and Stan”, Kasetsart University, Bangkok, Thailand, December 21, 2016.