2025
About
I am an AI Research Engineer at Capgemini's Global AI Futures Lab in Munich, working at the intersection of applied machine learning research and real-world AI systems. My work spans Agentic AI and AI for R&D, Pharma, and Biotech, building on my recent role as a Senior Data Scientist delivering agentic AI systems for pharmaceutical partners including Roche and Bayer, and scalable computational drug discovery pipelines. In the Lab, I explore emerging research directions and frontier AI challenges through exploratory work and hands-on prototyping.
I hold a doctoral degree in information systems from the University of Würzburg, with a research focus on robust and explainable AI, with applied work in anomaly detection and industrial process analysis. I have co-organized a Decision Support Systems reading group and an Information Systems Engineering group.
Before my PhD, I worked as a Senior Consultant - supply chain management, gaining important industry experience, software development skills, and consulting expertise.
Research Interests
- Explainable AI (XAI)
- Decision Support Systems
- Deep Learning
- Graph Machine Learning
- Information Systems Engineering
Funded Projects
DeepScan
Explainability of algorithms in anomaly detection — making detection models transparent and auditable.
BMBF (01IS18045A)
PipeAI
Applying explainable AI to industrial processes to improve trust and interpretability in production settings.
Bayerisches StMWi (DIK0143/02)
Experience
04/2026 – present
AI Research Engineer
Capgemini - Global AI Futures Lab, Munich
Research and development of AI systems for industrial applications, including autonomous decision-making and optimization in complex environments.
03/2024 – present
Senior Data Scientist — Life-Sciences
Capgemini Engineering, Munich
Delivered AI solutions for life-sciences customers, including agentic AI systems for Roche and Bayer, scalable computational drug discovery pipelines.
2018 – 2023
Research Assistant
Julius-Maximilians-Universität Würzburg
Research in applied Machine Learning, Explainable AI (XAI), and Graph ML. Research projects: “DeepScan” (anomaly and outlier detection) and “PipeAI” (prediction of industrial processes through XAI).
2021 – 2022
Lecturer Operations Research (Part-time)
DHBW Mosbach
Taught two OR courses, ~30 students each, 28 lectures and 28 tutorial sessions.
2014 – 2018
Senior Consultant SCM
Consilio IT-Solutions GmbH, Munich
Optimization for Supply chain and manufacturing planning.
Feb - Oct 2014
Working Student (Part-time)
FIS GmbH, Grafenrheinfeld
Application development for Earned-Value-Analysis, Masterthesis.
2011 – 2014
Software Developer (Part-time)
Freelancer, Remote
Java web applications with Struts 2, Spring, EJB.
2009 – 2012
Dual Study Program
T-Systems GmbH, Heidelberg/Darmstadt
ITSM Business Analyst and Application Development.
Education
2019 – 2026
Dissertation
Julius-Maximilians-Universität Würzburg
Thesis: “Advances in Machine Learning Methods for Context-Aware Insight, Trustworthiness, and Robustness”.
2012 – 2014
M.Sc. Information Systems
Julius-Maximilians-Universität Würzburg
2010 – 2012
B.Sc. Information Systems
Duale Hochschule Mosbach (DHBW)
2005 – 2008
Abitur — Specialization: Information Technology
Technisches Gymnasium Schwäbisch Hall
Service
Publications
2024
A Taxonomy of Artificial Intelligence for Process Mining Enhancement
Nicolas Neis , Fabian Gwinner , Carolin Haueisen
PACIS 2024 Proceedings
2024
2023
From Black Box to Glass Box: Evaluating Faithfulness of Process Predictions with GCNNs
Myriam Schaschek , Fabian Gwinner , Benedikt Hein , Axel Winkelmann
Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2023. Communications in Computer and Information Science, vol 2135. Springer, Cham.
2023
Towards Explainable Occupational Fraud Detection
Julian Tritscher , Daniel Schlör , Fabian Gwinner , Anna Krause , Andreas Hotho
Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, vol 1753. Springer, Cham.
2022
2021
Security Implications of Consortium Blockchains: The Case of Ethereum Networks
Adrian Hofmann , Fabian Gwinner , Axel Winkelmann , Christian Janiesch
JIPITEC
2021
A Financial Game with Opportunities for Fraud
Julian Tritscher , Anna Krause , Daniel Schlör , Fabian Gwinner , Sebastian Von Mammen , Andreas Hotho
2021 IEEE Conference on Games (CoG)
2021
A Meta-Model for Real-Time Fraud Detection in ERP Systems
Anna Fuchs , Kevin Fuchs , Fabian Gwinner , Axel Winkelmann
Hawaii International Conference on System Sciences (HICSS-54)
2020
An Industry-Agnostic Approach for the Prediction of Return Shipments
Adrian Hofmann , Fabian Gwinner , Kevin Fuchs , Axel Winkelmann
AMCIS 2020 Proceedings