Curriculum Vitae

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	Tom Boesche
Hamburg, Germany		t.boesche@outlook.com

Work Experience

University of Maryland, College Park, USA

08/2021–05/2024

Research assistant

09/2023–05/2024

Supervisor: Professor S. Borağan Aruoba
Collected, processed and analysed diverse time series in R, Julia, MATLAB, and EViews. Coded changes to
economic models in Julia and MATLAB. Visualised results for the consumption of my supervisor
and his co-authors, and for publication. Proved mathematical results and argued in favour
of methodological steps. Clearly communicated results of my independent work to my supervisor.

Course instructor

07–08/2023 & 01/2024

Independently designed and taught a Principles of Macroeconomics course during Summer 2023 and
Winter 2024. Created beamer slides, discussion prompts, and exams for a semester-long course. Gave twelve
lectures of two hours each to 70 students in total. Graded all assignments and held office hours for students.

Teaching assistant

08/2023–05/2023

Communicated with students and held office hours for Principles of Macroeconomics and Intermediate
Macroeconomics. Organised make-up exams for students who missed exams. Created R scripts to provide
analytics on exam performance.

JP Beteiligungs-Gesellschaft mbH, Hamburg, Germany

08/2018–08/2019 & 01–07/2021

Analyst in real estate mezzanine finance

Collaborated closely with a small team in rapid mezzanine loan origination. Contributed significantly
to the improvement and standardization of flexible templates for term sheets and loan contracts.
Independently researched a memo on financial regulations regarding different loan origination vehicles,
trigging change in standard practice. Participated in negotiations with developers and local administrations.

University of Maryland, College Park, USA

08/2021–05/2024

MA Economics

Passed the first-year PhD sequences in macroeconomics, microeconomics, and econometrics. Completed all
required field courses for the PhD programme: Computational macroeconomics, time series econometrics,
behavioural macroeconomics, structural estimation in industrial organization, financial frictions in
macroeconomics, machine learning in economics.
Award for the Python implementation of machine-learning estimators of treatment effects.

London School of Economics and Political Science, London, UK

MSc Economics with distinction

09/2019–09/2020

Extended essay: A simple TANK model with endogenous credit constraint qualitatively replicated
the asymmetric response to changes in credit conditions. Decomposed consumption heterogeneity
into markup cyclicality and changes in asset holdings.
Excellence in Macroeconomics Award for outstanding contribution to the debate of real-world macroeconomic issues.

BSc Philosophy and Economics with first-class honours

10/2014–06/2018

Dissertation on quasi-experiments for causal estimation published by a top peer-reviewed journal in the philosophy of science.

Boesche, T., 2022. “Reassessing quasi-experiments: policy evaluation, induction, and SUTVA.” The British Journal for the Philosophy of Science.

Referee, The British Journal for the Philosophy of Science

08/2020–

Write anonymous referee reports for editors on submissions related to the philosophy of economics,
as part of the journal’s triple-blind review process.

Economics reviewer, NYU Journal of Legislation and Public Policy

10/2019–05/2020

Reviewed empirical research designs of submissions and advised editors on improvements.