Tsai-Hsuan (Angel) Chung

• Hamsa Bastani, Osbert Bastani, Tsai-Hsuan (Angel) Chung, “Optimizing Health Supply Chains in LMICs with Machine Learning: A Case Study in Sierra Leone”. In Responsible and Sustainable Operations: The New Frontier, edited by Tang, Christopher S. (Switzerland: Springer Nature, 2024), pp. 187-202 Abstract

  This chapter overviews the challenges in pharmaceutical supply chains (PSCs) in Low- and Middle-Income Countries (LMICs), with a focus on Sierra Leone. Furthermore, it describes how traditional supply chain optimization strategies can be used to improve performance of PSCs in Sierra Leone. Finally, it describes the significant potential for using machine learning in this framework for effective demand forecasting. We highlight challenges such as limited data availability, the need to ensure equitable distribution, as well as the potential for transfer learning to address some of these challenges.

Past Courses

• EDUC5414 - Econ of Ed in Dev Countries

  How can economic tools be used to analyze educational programs and development? This course explores the economics of education, with a focus on low- and middle-income countries (LMICs). Key topics include returns to investment in education, education production, costs and financing, teacher labor markets, the role of education in economic development, public and private education markets, school choice, and equity concerns, including income disparities. The course will introduce key analytical approaches, including economic modeling and policy evaluation techniques. Students will engage with case studies from both high- and low-/middle-income countries, along with interactive activities such as group discussions, panel discussions, and debates. By the end of the course, students will have developed foundational skills in economic analysis of education and gained a deeper understanding of key global challenges in the field, particularly in LMICs. The course is open to graduate students as well as advanced undergraduates from across disciplines. While no prior background in economics is required, familiarity with basic economic concepts will be helpful.

• EDUC6462 - Monitrng & Eval in Intl Ed Dev

  This course covers theories, methods, and applications of monitoring and evaluation for educational and social programs, with special emphasis on international education development. Topics include basic statistical concepts, program theory, process and outcome assessment, concepts in survey methods, introduction to causal inference, introductory regression analysis, and an overview of impact assessments and cost-benefit/cost-effectiveness analysis.

• EDUC7462 - Adv Monitoring & Eval in IED

  This advanced-level course builds on foundational statistical knowledge to provide students with practical, hands-on experience in quantitative methods for monitoring and evaluation (M&E) in international education and development contexts. Open to graduate students across programs, the course combines theoretical understanding with applied data analysis using STATA, emphasizing essential methods such as randomized experiments, and various quasi-experimental designs for causal inference. Students will explore a range of quantitative methodologies, including logit/probit models, propensity score matching, difference-in-differences, regression discontinuity, and other quasi-experimental approaches. Through interactive labs, research papers/case studies, and guided practice, students will strengthen their ability to analyze complex data, interpret results critically, and design effective research tools—skills vital for careers in research, policy evaluation, and international development. Prerequisites: Introductory Statistics and basic familiarity with STATA.

• Runner-Up, Best Paper Presentation at Sustainable Operations Management Workshop, 2025
• 1st Place, INFORMS Public Sector Operations Research Best Paper Award, 2024
• 2nd Place, INFORMS Doing Good with Good OR Student Paper Competition, 2024
• Finalist, MSOM Student Paper Competition, 2024
• Penn Prize for Excellence in Graduate Teaching Award, 2024

Research Spotlight: Angel Chung

Knowledge @ Wharton

• NBA Playoffs With Seth Partnow, Knowledge @ Wharton - 05/07/2025
• The Trade War Playbook: Tariffs, Uncertainty, and U.S. Economic Policy, Knowledge @ Wharton - 05/07/2025
• How AI Can Unlock Hybrid Creativity in the Workplace, Knowledge @ Wharton - 05/06/2025
• Are DoorDash and Other Delivery Apps Hurting Restaurants?, Knowledge @ Wharton - 05/06/2025
• Workplace Boundaries and Social Media | Nancy Rothbard, Knowledge @ Wharton - 05/06/2025
• Five Ways Gen AI Is Changing Workplace Identity, Knowledge @ Wharton - 05/05/2025
• How Consumers Perceive Layoffs: Offshoring vs. Automation, Knowledge @ Wharton - 05/02/2025
• Understanding Trump’s Tariff Tactics Through the Lens of Negotiation, Knowledge @ Wharton - 04/30/2025
• NFL Draft Strategy With Kevin Cole, Knowledge @ Wharton - 04/30/2025
• Why Fed Independence Is Critical, Knowledge @ Wharton - 04/29/2025