FROM AGENTIC AI TO QUANTUM COMPUTING: SHAPING THE FUTURE IN BANKING, INDUSTRY, AND HEALTHCARE
Team d-fine
d-fine, Frankfurt am Main
Afternoon
This year's lecture series will explore the transformative roles of AI, quantum computing, and digitization across sectors such as banking, industry, and healthcare. By integrating insights from data science and technology, participants will discover how these innovations collectively optimize operations and address complex challenges. Specifically, agentic AI improves decision-making through advanced automation and predictive analytics, while quantum computing provides immense computational power for solving complex problems beyond the capabilities of traditional methods.
d-fine consultants will demonstrate why physicists are well-suited to tackle complex technical challenges, providing first-hand insights into various business cases. We will illustrate how technological and mathematical concepts, along with digitization strategies, are pivotal across diverse scenarios, including enabling the green energy transition, optimizing logistics and financial systems, and discovering novel materials. Our sessions will showcase practical applications and seamless technology integration, offering attendees insights into how these advancements foster sustainable industry progress.
Agenda:
• Monday, 06.10.2025, 14:00 - 16:00: Dr Oliver Hein, “Quantitative Model Building in a Complex World”
• Monday, 06.10.2025, 16:00 - 17:00: Dr Oliver Hein, “defining d-fine”
• Tuesday, 07.10.2025, 14:00 - 17:00: Dr Sabine Matysik, “Quantum computing to solve classically intractable problems”
• Wednesday, 08.10.2025, 14:00 - 17:00: Tim Breitenfelder, “Advancing healthcare and pharma with data science and symbolic AI”
• Thursday, 09.10.2025, 14:00 - 17:00: Yasin Turkac, “Renewable energies - powerful, but challenging to handle. How can AI help?”
• Friday, 10.10.2025, 14:00 - 17:00: Dr Moritz Kompenhans, “AI in industry from shopfloor to top floor - automating knowledge-intensive, multi-variant tasks”
Monday, 06.10.2025, 14:00 - 17:00
• Title: Quantitative Model Building in a Complex World
• Speaker: Dr Oliver Hein
• Short CV:
Oliver Hein is one of the Partners at d-fine. Oliver specialises in strategic treasury and quantitative steering questions. He is responsible for d-fine’s theme cluster Business Control Banking comprising the topics Accounting, Asset Liability Management, Compliance, Financial Controlling, Liquidity, and Regulatory Reporting.
His latest projects focus on the development of dynamic balance sheet models, which are essential for the adequate controlling and steering of banks and corporate treasuries in volatile and fast evolving markets.
Hein studied chemistry and mathematics at the TU Braunschweig and earned PhDs in theoretical chemistry (quantum chemistry of disordered solids) and mathematics (computer-assisted algebraic description of non-linear time series).
Tuesday, 07.10.2025, 14:00 - 17:00
• Title: Quantum computing to solve classically intractable problems
• Speaker: Dr Sabine Matysik
• Short CV:
Sabine Matysik is a Senior Consultant at d-fine. As part of the quantum computing team, she specialises in the application of quantum computing algorithms to material science use cases. The quantum computing team at d-fine is involved in the implementation of quantum computing into several different areas like logistics, cybersecurity and materials optimisation. Due to the particularly promising road to a quantum advantage in material science and quantum chemistry, Sabine supports the German Aerospace Institute (DLR) in several industrially relevant materials development projects.
Sabine Matysik studied chemistry at the Friedrich-Alexander-University Erlangen Nürnberg and graduated with a PhD in theoretical chemistry from the University of Cambridge, UK before joining d-fine.
Wednesday, 08.10.2025, 14:00 - 17:00
• Title: Advancing healthcare and pharma with data science and symbolic AI
• Speaker: Tim Breitenfelder
• Short CV:
Tim Breitenfelder is a Senior Consultant in d-fine’s Pharma & Healthcare practice. His work centers on turning quantitative methods into real-world impact along the healthcare value chain. He combines symbolic AI with data-science techniques such as process mining, unsupervised anomaly detection and Monte-Carlo simulation to answer business-critical questions—from uncovering hidden patterns in hospital patient pathways, to detecting fraudulent claims for insurers, to modelling drug-price negotiations under European market-access rules.
Tim Breitenfelder studied physics in Frankfurt and Granada (Spain) and has recently completed a part-time MSc in software engineering at the University of Oxford as part of the d-fine Academy.
Thursday, 09.10.2025, 14:00 - 17:00
• Title: Renewable energies - powerful, but challenging to handle. How can AI help?
• Speaker: Yasin Turkac
• Short CV:
Yasin Turkac is a Manager at d-fine, specializing in consulting projects for the energy sector. He addresses analytical and quantitative challenges in energy markets, using data science to enhance digital solutions for energy utilities. His work involves valuating and hedging renewable energy contracts, known as power purchase agreements, and analysing revenue potential for battery storage systems, employing Monte Carlo Simulation and AI-based time series forecasting.
Yasin Turkac holds a bachelor's degree in physics and a master's degree in mechanics from the Technical University of Darmstadt. He expanded his academic experience by studying abroad, with exchanges in Canada and France. Additionally, he completed the Certificate in Quantitative Finance, a master's-level qualification for professionals supported by the d-fine Academy.
Friday, 10.10.2025, 14:00 - 17:00
• Title: AI in industry from shopfloor to top floor - automating knowledge-intensive, multi-variant tasks
• Speaker: Dr Moritz Kompenhans
• Short CV:
Moritz Kompenhans is a Manager at d-fine, overseeing digitalization projects for clients as part of the Industrial Solutions team. This includes applying state-of-the-art digital technologies to improve engineering, manufacturing, and production processes. His work also includes the integration of Generative AI and traditional AI methods into industrial settings contributing to the development of digital features for products, machinery, and systems. Additional focus areas include the data economy and the monetization of industrial data, with the goal of creating measurable impact for clients through advanced, data-driven approaches.
Moritz Kompenhans studied computer science at the Technical University Hamburg, followed by a Master’s degree and a PhD in aerospace engineering from the Universidad Politécnica de Madrid. He also holds an MBA from Mannheim Business School supported by the d-fine Academy.
