I design hands-on courses that connect theory with implementation, using coding, real-world data, and emerging AI tools.

• Data Mining and Business Analytics — Undergraduate

  • A hands-on introduction to data mining for business decision-making, covering predictive and unsupervised learning, text analytics and LLMs, with implementation in R and Python and applications to real business problems.

• Data Exploration and Visualization — MSBA

  • A hands-on course in exploring, visualizing, and communicating data, emphasizing data storytelling, visual design, and critique using tools such as Tableau and R, complemented by an AI Data Visualization Coach.

• Human–AI Interactions in Business Decision Making — PhD

  • An interdisciplinary seminar on how humans and algorithms make decisions together, spanning prediction and policy, algorithm reliance, interpretability, and human-in-the-loop systems through economic, behavioral, and machine-learning perspectives.

• Teaching evaluations averages: 4.6/5 undergraduate · 4.8/5 MSBA