Teaching

Link to teaching statement

List of Courses Taught:

  • Chapman University, MGSC 310: Statistical Models in Business Analytics (Introduction to Machine Learning)
    • Fall 2022 (x2) [Syllabus] [Instructor rating: 4.6/5]
    • Fall 2021 (x2) [Syllabus] [Instructor rating: 4.1/5]
    • Fall 2020 (x2) [Syllabus] [Instructor rating: 4.27/5]
    • Fall 2019 (x2) [Instructor rating: 4.32/5]
  • Chapman University, BUS 659: Machine Learning for Managers
    • Spring 2023 [Syllabus] [Instructor rating: 4.38/5]
    • Fall 2021 [Syllabus] [Instructor rating: 4.88/5]
    • Fall 2020 [Syllabus] [Instructor rating: 4.49/5]
    • Fall 2019 [Instructor rating: 3.49/5]
  • Chapman University, ECON 441: Development Economics
    • Fall 2018 [Syllabus] [Instructor rating: 4.45/5]
    • Spring 2018 [Instructor rating: 3.81/5]
  • Chapman University, MGSC 207: Introduction to Business Analytics
    • Fall 2017 [Syllabus] [Instructor rating: 4.21/5]
  • MIT, Quantitative Research Methods III (Political Science PhD quantitative sequence)
  • Wellesley College, Development Economics
    • Spring 2016 [Syllabus] [92.8% course recommend/strongly recommend/neutral]
  • Wellesley College, Introductory Microeconomics
    • Spring 2016 (x2) [Syllabus] [95.2% course recommend/strongly recommend/neutral]
  • World Bank, Introduction to Machine Learning
    • Winter 2019 [Instructor rating: 6.23/7]
    • Summer 2018 [Instructor rating: 6.07/7]
    • Summer 2017 [Instructor rating: 6.64/7]
    • Summer 2016
  • Other Short Courses
    • Anahuac University, Mexico City, Introduction to Machine Learning, Winter 2020 [Syllabus]
    • Inter-American Development Bank, Introduction to Machine Learning, 2018
    • Central Bank of Belize, Introduction to Machine Learning, 2020, [link]
    • Statistical Institute of Belize, Introduction to Machine Learning, 2019
    • Introduction to Deep Learning, 2018, Arconic