Teaching

  • HPE DSI 271: Data Analysis & Visualization using Excel & Power BI

    • Fall 2025 (Hewlett Packard Enterprise Data Science Institute, University of Houston)
    • A hands-on introduction to business data analytics, covering data preparation, descriptive and exploratory analysis, and visualization using Excel and Power BI to support data-driven decision-making.
    • As instructor, I designed and taught an 11-session course for approximately 60 students on business and data analytics using Excel and Power BI.
  • INDE 7397: Decision Modeling and Optimization

    • Spring 2023 (Department of Industrial and Systems Engineering, University of Houston)
    • A graduate course on stochastic processes and sequential decision-making, covering Markov decision processes, value and policy iteration, reinforcement learning, and deep reinforcement learning, with applications in inventory control and healthcare.
    • As curriculum developer, I developed reinforcement learning modules for Dr. Yisha Xiang’s graduate course.
  • IE 3311: Deterministic Operations Research

    • Fall 2021 (Department of Industrial, Manufacturing, and Systems Engineering, Texas Tech University)
    • An undergraduate introduction to operations research, covering linear, integer, and dynamic programming, with applications to traveling salesman, transportation, and assignment problems.
    • As teaching assistant, I held office hours, led problem-solving sessions in linear programming and network optimization, and graded assignments for Dr. David Huckleberry Gutman’s course.