Teaching

Stanford University

Stanford Health Policy Data Science Data Jamboree | 2025

• Audience:  PhD students, Post-docs, Staff
• Role: Lecturer
• Lecture topic: “Microsimulation”

University of Washington

Advanced Methods in Economic and Outcomes Evaluation in Health and Medicine | 2022, 2023, 2024, 2025

• Audience:  Masters and PhD students
• Role: Guest lecturer
• Lecture topic: “Health Equity and Distributional Cost Effectiveness Analysis”

Machine Learning in Health Economics and Outcomes Research | 2024, 2025

• Audience:  Masters and PhD students
• Role: Guest lecturer
• Lecture topic: “From Sources to Metrics: Understanding and Measuring Algorithmic Bias”

Statistical Topics for Biomedical Regulatory Affairs Professionals | 2025

• Audience:  Masters students in Biomedical Regulatory Affairs
• Role: Guest lecturer
• Lecture topic: “Sources of Bias in Machine Learning Algorithms”

Principles of Machine Learning & Applications in Health Economics and Outcomes Research | 2025

• Audience:  Pharmaceutical industry professionals, clinicians, healthcare administrators
• Role: Lecturer
• Lecture topic: “Introduction to Algorithmic Bias”

Economic Evaluation in Health & Medicine (Certificate in Health Economics and Outcomes Research) | 2023

• Audience:  Pharmaceutical industry professionals, clinicians, healthcare administrators
• Role: Teaching Assistant

Practice of Health Technology Assessment in a Global Health Environment (Certificate in Health Economics and Outcomes Research) | 2023

• Audience:  Pharmaceutical industry professionals, clinicians, healthcare administrators
• Role: Teaching Assistant

Principles of Health Economics (Certificate in Health Economics and Outcomes Research) | 2022

• Audience:  Pharmaceutical industry professionals, clinicians, healthcare administrators
• Role: Teaching Assistant

MarketScan and R Programming Bootcamp | 2021, 2022

• Audience:  Masters and PhD students
• Role: Lead Instructor