Research Team

Our team combines academic expertise with industry experience to advance machine learning in empirical finance.

Joerg Osterrieder

Joerg Osterrieder

Primary Supervisor
University of Twente
Associate Professor
164 Publications
1,143 Citations
14 H-Index

Biography

Joerg Osterrieder is Associate Professor of Finance and AI at the University of Twente. He holds a PhD in Mathematics from ETH Zürich, an MSc from Syracuse University, and an MSc in Business Economics from the University of Ulm. Before entering academia, he held senior roles in the financial industry, including executive director positions at Goldman Sachs and Merrill Lynch, quantitative analyst at AHL (Man Group), and senior management at Credit Suisse.

He chairs COST Action 19130 FinAI, a European research network of over 300 researchers across 51 countries, and coordinates the MSCA Industrial Doctoral Network "Digital Finance," which unites 18+ academic and industry partners across Europe. His contributions have been recognized with the IETI Researcher Award (2024), and he has been named a Top 20 European Quant & Finance Professor by Rebellion Research.

Research Interests

Machine Learning in Finance Digital Finance Risk Management Algorithmic Trading Quantitative Finance

Role in Project

As Primary Supervisor, Joerg sets the strategic research agenda and provides scholarly mentorship. He connects the project to the broader research community through COST Action FinAI and the MSCA Digital Finance doctoral network.

Axel Gross-Klussmann

Axel Gross-Klussmann

Industry Supervisor
Quoniam Asset Management
Senior Quantitative Researcher
12 Publications
418 Citations
6 H-Index

Biography

Axel Gross-Klußmann holds a PhD in Financial Econometrics from Humboldt University Berlin, where he also earned an MSc in Statistics. He received a BSc in Mathematics from FernUniversität in Hagen and completed a Diploma in Economics with a Quantitative Research Track at Kiel University.

Axel joined Quoniam Asset Management in 2012 and currently serves in the Research Forecasts team, focusing on top-down approaches in Equities and Multi Asset. His research spans sentiment mining for finance, neural networks for news sentiment analysis, and high-frequency news-implied market reactions, with publications in the Journal of Empirical Finance and Digital Finance.

Research Interests

Quantitative Research Asset Management Sentiment Mining Machine Learning Financial Econometrics

Role in Project

As day-to-day supervisor, Axel guides the research direction and methodology. Drawing on his experience in quantitative asset management, he ensures the work remains grounded in real-world applications.

Xiaohong Huang

Xiaohong Huang

Academic Co-Supervisor
University of Twente
Assistant Professor
33 Publications
284 Citations
7 H-Index

Biography

Xiaohong Huang is an Assistant Professor in the Financial Engineering & Business Information Systems (FEBIS) group at the University of Twente's Faculty of Behavioural, Management and Social Sciences (BMS). She holds a PhD in Finance from Erasmus University Rotterdam and joined the University of Twente in 2010.

Her research focuses on emerging market corporate finance, institutional investments, and Fintech, with notable work on capital structure, financing behavior in emerging economies, and the effects of financial crises on SME financing. She also contributes to research on pension contracts and pension fund investment, and teaches corporate finance, investments, risk management, and valuation at bachelor and master level.

Research Interests

Corporate Finance Institutional Investments Fintech Pension Fund Investment Emerging Markets

Role in Project

As Academic Co-Supervisor, Xiaohong provides guidance on corporate finance, institutional investment research, and academic writing. She ensures the research meets the highest standards of academic rigor.

Dennis Hoffmann

Dennis Hoffmann

PhD Candidate
Quoniam Asset Management / University of Twente
Quantitative Researcher

Biography

Dennis Hoffmann is a PhD candidate jointly supervised by the University of Twente and Quoniam Asset Management. He holds a master's degree in Business Administration with a specialization in Finance from Goethe University Frankfurt.

Based at Quoniam in Frankfurt, he combines academic research with practical experience in quantitative asset management. His PhD research focuses on applying machine learning methods to portfolio optimization and risk management.

Research Interests

Machine Learning Portfolio Optimization Risk Management Deep Learning Reinforcement Learning

Role in Project

As a PhD researcher, Dennis pursues a research agenda guided by both university faculty and practitioners at Quoniam. He participates in conferences and specialized courses and engages in the MSCA Digital Finance Doctoral Network that connects researchers and industry experts in quantitative finance.

Collaboration Model

How we work together across academia and industry

1

Academic Foundation

The University of Twente provides the academic framework, research methodology, and theoretical foundations for the PhD research.

2

Industry Integration

Quoniam provides real-world context, practical use cases, data access, and validation of research findings in production environments.

3

Knowledge Transfer

Regular meetings, workshops, and joint publications ensure continuous knowledge exchange between academic and industry partners.

Get in Touch

Interested in collaboration or have questions about our research?

Academic Inquiries

For academic collaboration, research questions, or student inquiries, please contact the University of Twente supervisors.

Joerg Osterrieder
University of Twente
Financial Engineering & Business Information Systems (FEBIS)

joerg.osterrieder@utwente.nl

Industry Inquiries

For industry collaboration, data partnerships, or practical applications, please contact through Quoniam Asset Management.

Quoniam Asset Management
Frankfurt, Germany

Contact Quoniam