Teaching

University of Glasgow

Machine Learning in Finance with Python (MSc)

2022/2023. Joint with Ankush Agarwal [GitHub] [Lecture notes] [Course outline]

Advanced Macroeconomics (UG Honours)

2021/2022, 2022/2023. Joint with Jim Malley [Lecture notes] [Slides]

Topics in Macroeconomics (MRes)

2020/2021 – 2022/2023. Joint with Konstantinos Angelopoulos and Yannis Tsafos [GitHub] [Slides]

Introduction to Python Programming for Economics & Finance (PhD)

May/June 2023 [GitHub] [Lecture notes] [Course outline]

Macroeconomics (MSc)

2020/2021 and 2021/2022. Joint with Jim Malley

Computational Statistics & Data Analysis (MSc)

2020/2021 and 2021/2022. Introductory Python course [GitHub] [Lecture notes]

Python workshop (part of the Business School UG skills workshop)

2021/2022

Government Debt and the Macroeconomy (UG Honours)

2020/2021. Joint with Campbell Leith [Lecture notes] [Slides]

Business Cycles: Theory, Evidence and Macroeconomic Policy (MSc)

2020/2021, Semesters 1 & 2. Main lecturer: Jim Malley

Pre-PhD

Mathematics III (PhD), Stockholm University

2013, 2014 and 2015. Teaching assistant to Sebastian Koehne

Macroeconomics II (PhD), Stockholm University

2014. Teaching assistant to Tobias Broer

Macroeconomics II (MSc), Institute for Advanced Studies, Vienna

2012. Teaching assistant to Micheal Reiter, Tamás Papp and Christian Haefke

Econometrics I (MSc), Institute for Advanced Studies, Vienna

2012. Teaching assistant to Wolfgang Scherrer

Macroeconomics I (MSc), Institute for Advanced Studies, Vienna

2011. Teaching assistant to Christian Haefke