Teaching

Causal Inference in Natural Language Processing for Economics (MSc)

Lecturer for MSc students in Economics. Interactive coding, presentation, and peer evaluation sessions to familiarize students with applications of causal inference framework in social sciences with text as data.

The course syllabus can be found in this Github repository.

Summer 2022

Evaluation: 4.8/5.0

Text Analysis for Social Sciences in Python (MSc)

Lecturer for MSc students in Economics. Interactive coding and presentation sessions to familiarize students with text as data in social sciences.

The course syllabus can be found in this Github Repository.

Winter 2021/2022

Evaluation: 4.3/5.0

Microeconomics I (BSc)

Tutorial Lecturer for BSc students in Economics.

Summer 2021, 2022

Evaluation: N/A

Linear Algebra & Calculus (Math I) (MPhil/PhD)

Teaching Assistant for Prof. Florian Wagener (UvA & CENDEF). I prepared practice materials, taught weekly tutorial sessions and held office hours for 20-30 MPhil/PhD students on advanced linear algebra and calculus.

Fall 2015

Evaluation: 4.5/5.0

Optimization & Calculus of Variations (Math II) (MPhil/PhD)

Teaching Assistant for Prof. Peter Spreij (UvA & KdvI Mathematics). I taught weekly tutorial sessions to 20-30 MPhil/PhD students and coordinated teaching plans on static and convex optimization, calculus of variations and dynamic optimization. The course materials can be found HERE .

Fall 2015

Evaluation: 4.0/5.0

Game Theory & its Applications (MSc)

Exercise Lecturer for dr. Vladimir Karamychev (EUR). I prepared tutorial slides and an exercise curriculum to teach bi-weekly sessions for groups of 20-30 students on how to apply core game theoretic equilibrium concepts for static and dynamic games of complete information in real-life applications. The course tutorial slides and notes can be found HERE .

Fall 2017, 2018

Evaluation: 4.3/5.0

Applied Econometrics (MSc)

Exercise Lecturer for dr. Sacha Kapoor (EUR). I assisted students in weekly Stata coding sessions to apply advanced micro-econometric techniques (multivariate regression, difference-in-difference, regression discontinuity design, panal data) in policy-relevant examples.

Fall 2018

Evaluation: 3.9/5/0

Microeconomics (BSc)

Teaching Assistant for dr. Benoit Crutzen (EUR). I taught bi-weekly exercise sessions for multiple groups of 25-35 first-year Bachelor students on the basics of microeconomics and graded their mid-term & final exams.

Fall 2016, 2017

Evaluation: 3.9/5.0