Teaching Awards and Training

Graduate seminars:

  • Lead instructor, An Introduction to Computational Tools and Techniques for Social Science Research, UC Berkeley, Spring 2019 [GitHub]
  • Graduate student instructor for Rachel Bernhard, An Introduction to Computational Tools and Techniques for Social Science Research, UC Berkeley, Spring 2018

Undergraduate lectures:

  • Graduate student instructor for Professor Laura Stoker, Introduction to Empirical Analysis and Quantitative Methods, UC Berkeley, Fall 2016

Workshops:

  • Co-instructor, Data Science Discovery Team Lead Seminar, UC Berkeley, Spring 2020
    • Project management [Slides]
    • Computational reproducibility and version control [Slides]
    • Bias and fairness in machine learning [Slides]

Giving a lightening talk about teaching computational social science at the Summer Institute in Computational Social Science held at Princeton University in 2019