Curriculum Vitae
Last updated: October 2026
Academic Appointments
Harvard Business School AI Institute
Postdoctoral Fellow, Digital Reskilling Lab
Leibniz Institute for Financial Research SAFE
Research Affiliate
Research Interests
Human-AI collaboration, Technology adoption, Behavioral economics
Publications
Knowing (Not) to Know: Explainable Artificial Intelligence and Human Metacognition
with Moritz von Zahn, Ekaterina Jussupow, Oliver Hinz and Kevin Bauer (2026)
Information Systems Research, 37(3), 1485–1507.
Explainable AI Human-AI Collaboration Lab-in-the-field experiment
Abstract
The use of explainable artificial intelligence (XAI) to render black-box artificial intelligence (AI) more interpretable to humans is gaining practical relevance. Prior research has shown that XAI can influence how humans “think”. Yet, little is known about whether XAI also affects how people “think about their thinking” (i.e., their metacognitive processes). We address this gap by investigating whether XAI affects metacognitive processes that guide human confidence judgments about their ability to perform a task and thereby, their decision whether to delegate the task to AI. We conducted two incentivized experiments in which domain experts repeatedly performed prediction tasks, with the option to delegate each task to an AI. We exogenously varied whether participants initially received explanations about AI’s overall prediction logic. We find that AI explanations improve how well humans understand their own ability to perform the task (metacognitive accuracy). This improvement causally increases both the frequency and effectiveness of human-to-AI delegation. Additional analyses show that these effects primarily occur when explanations reveal to humans that AI’s prediction logic diverges from their own, leading to a systematic reduction of overconfidence. Our findings highlight metacognitive processes as a central, previously overlooked channel through which AI explanations can influence human-AI collaboration. We discuss practical implications of our results for organizations implementing XAI to comply with regulatory transparency requirements as, for example, outlined in the European Union Artificial Intelligence Act.
Can GPT Mimic Human Preferences? An Empirical and Structural Investigation
with Kevin Bauer and Michael Kosfeld (2025)
Proceedings of the European Conference on Information Systems (ECIS 2025)
Machine Behavior Human-AI Collaboration LLM experiment
Abstract
We examine the depth of large language models’ (LLMs) potential to serve as tools for simulating human decision-making processes. Using GPT-4 Turbo in a sequential prisoner’s dilemma, we find significant discrepancies between LLM-generated and human behaviors: GPT consistently exhibits a higher propensity to cooperate and forms overly optimistic expectations of human cooperation, leading to outcomes that diverge from observed human decision-making patterns. Yet, GPT’s decisions do not appear random; they align with a formal model of human preferences for fairness and efficiency that explains the behavior of most human participants in similar settings. We find a striking contrast: while GPT may fall short as accurate surrogate for human decisions at the surface level, the model nonetheless exhibits a capacity to reflect the underlying preferences that drive human behavior in strategic contexts. Our findings have implications for LLMs’ potential to serve as a managerial or research tool in simulating human behaviors.
Work in Progress
Responsive Advisors, Indifferent Clients: Evidence from a Field Experiment on the Role of Explainable AI in Financial Advice (Working Title)
First-authored, with Kevin Bauer, Cathy Yang, Xitong Li and Oliver Hinz (2026)
Explainable AI Human-AI Collaboration Lab-in-the-field experiment
Personalized Communication and Repayment (Working Title)
with Florian Hett, Andrej Gill, Christine Laudenbach and Stephan Siegel (2026)
Household Finance Behavioral Finance Field experiment
Policy Work (Pre-PhD)
Unconventionally Green: Monetary Policy between Engagement and Conflicting Goals
with Lukas Nöh, Felix Rutkowski and Milena Schwarz (2023)
Review of Economics, 74(1), 53–77.
Abstract
We study the potential role of the ECB in supporting the transition to a low-carbon economy by decarbonizing the corporate sector purchase programme (CSPP). We demonstrate that the carbon intensity of CSPP purchases is determined by three main factors: First, by the CSPP-eligibility criteria, as these tend to exclude bonds from low-emission sectors. Second, by the underlying structure of the bond market, as this tends to be skewed towards carbon-intensive sectors. Third, among the eligible bonds, the ECB tends to select those from relatively emission-intensive sectors. To decarbonize the CSPP, the ECB can theoretically act along these three lines: (i) adjust the CSPP-eligibility criteria to expand the range of eligible low-carbon assets, (ii), revise the principle of market neutrality to tilt the CSPP portfolio towards low-carbon companies, or, (iii), purchase so far neglected low-carbon bonds within the current eligibility and market neutrality framework. As all approaches have either very limited effects or are associated with significant theoretical and practical concerns, we conclude that their contribution to the success of active green monetary policy is not guaranteed, while at the same time risks arise for a monetary policy that targets price stability.
Current Developments in Green Finance
with Lukas Nöh, Felix Rutkowski and Milena Schwarz (2020)
German Council of Economic Experts, Working Paper 05/2020.
Abstract
The transformation of economies towards significantly reduced CO2 consumption raises high investment and capital requirements. Financial and capital markets can help to mobilize the necessary funds for global investment needs and to steer capital towards sustainable investments. Moreover, potential disruptive impacts of climate change on the financial system have started to become more apparent recently and require central banks, regulators and supervisors to take a conscious look at the risks and opportunities of climate change for financial intermediaries and markets. This article offers a comprehensive discussion on how green finance has been evolving thus far and explores the opportunities and key developments ahead with particular emphasis on four selected highly topical issues: 1) the introduction of German green government bonds, 2) obstacles to the correct pricing of climate-related risks, 3) the EU taxonomy that has recently been put forward to develop a uniform classification of sustainable economic activities as well as 4) the role of central banks in fostering the transition to a low-carbon economy.
Education
Goethe University Frankfurt (GSEFM)
PhD in Economics, summa cum laude
Dissertation: Essays on Human-AI Interaction and Household Finance
Committee: Christine Laudenbach (first supervisor), Michael Kosfeld (second supervisor), Guido Friebel, Florian Hett
University of Melbourne
Visiting Scholar, Centre for Brain, Mind and Markets
Two-month research stay hosted by Carsten Murawski
CUHK Business School
Visiting Scholar, Department of Decisions, Operations and Technology
Two-month research stay hosted by Jenny (Qianran) Jin
Goethe University Frankfurt (GSEFM)
MSc in Quantitative Economics
Electives: Applied Econometrics, Household Finance, Experimental Finance
University of Bonn
BSc in Economics
Electives: Experimental Economics, Game Theory, Contract Theory, Applied Microeconometrics
Teaching
Gutenberg School of Business, JGU Mainz
Teaching Assistant, Machine Learning for Management Decisions
MBA course held by Kevin Bauer
University of Bonn
Teaching Assistant, Financial Markets and Institutions
BSc Economics course held by Isabel Schnabel
Awards, Grants & Scholarships
Publication Prize for Early Career Researchers
For the publication of Knowing (Not) to Know: Explainable Artificial Intelligence and Human Metacognition in Information Systems Research, awarded by the Faculty of Economics and Business at Goethe University Frankfurt
Award for Excellence in Teaching
Joint with Kevin Bauer, for the MBA course Machine Learning for Management Decisions, Gutenberg School of Business, JGU Mainz
SAFE Young Researcher Travel Grant
Fully-funded research visits to CUHK Business School and the University of Melbourne
Best Discussion Award
9th SAFE Household Finance Workshop, sponsored by Behavioural Finance e.V. (€1,000)
First-Year PhD Scholarship
Leibniz Institute for Financial Research SAFE
Conferences, Seminars and Invited Talks
* upcoming
- 4th Workshop on Behavioral, Digital and Financial Economics, JGU Mainz (presentation)
- Digital Economy Workshop (presentation)
- AI Plus Management Doctoral Consortium, UCL School of Management (presentation, cancelled)
- SAFE Brown Bag Seminar (presentation)
- Workshop on Information Systems & Economics (WISE)*, Nova SBE (presentation)
- SAFE Junior Scholars Workshop: The New World of Corporate Boards (presentation)
- 3rd Workshop on Behavioral, Digital and Financial Economics, JGU Mainz (presentation)
- University of Oxford, Faculty of Law (presentation)
- 9th SAFE Household Finance Workshop (discussion)
- CUHK Business School (presentation)
- 38th Australasian Finance and Banking Conference, UNSW Business School (presentation)
- 2nd Workshop on Behavioral, Digital and Financial Economics, JGU Mainz (presentation)
- SAFE Brown Bag Seminar (presentation)
- 9th Spring School in Behavioral Economics, UCSD Rady School of Management (poster)
- Machine+Behavior Conference, MPI / Toulouse School of Economics / University of British Columbia (poster)
- 8th SAFE Household Finance Workshop (discussion)
- EconTribute Workshop on Human-AI Collaboration, University of Cologne (lightning talk)
- 1st Workshop on Behavioral, Digital and Financial Economics, JGU Mainz (presentation)
- PhD course Subjective Beliefs, Attention and Economic Behavior, University of Copenhagen (poster)
- 1st Bonn-Frankfurt-Mannheim PhD Conference (presentation)
- Workshop on Interactions of Humans and Algorithms, TU Berlin (poster)
- SAFE Brown Bag Seminar (presentation)
- Society for Experimental Finance Summer School, University of Sofia
- 7th SAFE Household Finance Workshop (presentation)
- CORA Conference on Robots and Automation, Goethe University (presentation)
- ZEW / University of Mannheim Experimental Seminar (presentation)
- 6th SAFE Household Finance Workshop (discussion)
Academic Service
Supervision of Master’s and Bachelor’s theses (Leibniz Institute for Financial Research SAFE)
Representative of PhD Researchers (Leibniz Institute for Financial Research SAFE)
Member of Student Representatives (GSEFM, Goethe University Frankfurt)
Organizing Committee, 1st Bonn-Frankfurt-Mannheim PhD Conference with keynote by Ulrike Malmendier (Goethe University Frankfurt)
Referee
- European Conference on Information Systems (ECIS)
Professional Experience
Academic
Leibniz Institute for Financial Research SAFE
Junior Researcher / Doctoral Student, Department of Household Finance
European Central Bank
Academic Researcher, DG Macroprudential Policy and Financial Stability
European Central Bank
Trainee, DG Macroprudential Policy and Financial Stability
Leibniz Institute for Financial Research SAFE
Student Research Assistant
German Council of Economic Experts (GCEE)
Research Intern, Scientific Staff
Non-Academic
Consulting, media and language tutoring
- Consulting Intern and Assistant (organizational change management), CPC Unternehmensmanagement AG, Bonn & Frankfurt am Main, Germany
- Student Assistant, Editorial Office Documentaries, phoenix / ZDF, Bonn, Germany
- German Language Tutor (Gap Year), Bilbao, Spain
Affiliations
- Harvard Business School AI Institute
- Leibniz Institute for Financial Research SAFE (Research Affiliate)
- Behavioural Finance e.V. (Member)
- Mentoring Hessen, ProCareer.Doc Program (2024 cohort)
Personal
Software
Stata, Python, LaTeX, Git, oTree, MS Office
Languages
German (native), English (fluent), Spanish (fluent)
Citizenship
German
References
Available on request.