I am a PhD candidate in the department of Technology & Operations Management at the Rotterdam School of Management, Erasmus University Rotterdam.
My dissertation, Dealing with Conversational Agents, studies how the rise AI Agents automating supply-chain negotiatons affects human decision-making. I conducted experiments at the Erasmus Behavioural Lab and at CentERlab of Tilburg School of Economics and Management. I examine how humans negotiate with, delegate to, and behave after interacting with AI counterparts in B2B settings.
Before starting the PhD, I completed an MSc in Business Analytics & Management at RSM, where my thesis on demand forecasting in grocery retail won the 2024 Anton Dreesmann Award for the best retail thesis in the Netherlands. My BSc background is in Economics, I graduated with honours in Economics & Business Economics - Profile of Economic Development and Globalization at the Rijksuniversiteit Groningen.
Lines of Research
Conduct Behavioral Lab Experiments with Hybrid Chatbots (LLM & Rule-based) as Automated Negotiation Agents in Supply Chain Settings.
Airport Operations (Queue Jump) Passengers Boarding Before their Assigned Boarding Group.
Research
Human or AI Favoritism: Operational Impact of Automating Negotiations
1st Working paper
Delegation under Uncertainty: How Agent Nature (Human/AI) Shapes B2B Negotiation
2nd Working paper
Post-Negotiation Behavior with AI Counterparts
3rd Working paper
Out-of-Line: Field Evidence of Passenger Queue Jumping Behavior in Aircraft Boarding
Hybrid (Rule-based + Gen AI) Chatbot: Automating Negotiations
Technical - Part of the Springer book series: Lecture Notes in Computer Science (volume 16440)
This paper proposes a hybrid framework combining rule-based systems with Large Language Models (LLMs) for automated supply chain negotiations. Building on successful industry implementations of rule-based negotiation bots and addressing vulnerabilities identified in MIT's 2025 LLM negotiation competition, the approach leverages game-theoretic principles while utilizing LLMs for natural language tasks. The natural language tasks include Constraint and Offer Interpreters, and Message Generation. In a nutshell: 1) prompt the LLM with game-theoretic offers; 2) check if the generated message is profitable enough. A rule-based wrapper ensures Pareto-efficient outcomes by validating LLM outputs post-generation before sending them to the counterpart. Although designed for procurement negotiations, researchers and practitioners can apply this framework to various negotiation contexts. It is entirely developed in Python, a widely-used open-source programming language. (https://doi.org/10.1007/978-3-032-26717-7_24)
Conference Presentations
- INFORMS 2026 — Invited BOM session presentation (1st & 2nd working paper)
- POMS 2026 — Production and Operations Management Society Annual Conference (Airport Operations paper)
- Behavioral Operations Conference — Young Scholars, 2025 & 2026 (1st & 2nd working paper)
- CEMS Research Seminar on Supply Chain Management, Riezlern, Austria, 2025 & 2026
- INFORMS 2025 — Invited BOM session presentation (1st working paper)
- CONVERSATIONS 2025 — Chatbots and Human-Centered AI (Technical Paper)
- MSOM 2025 — Manufacturing & Service Operations Management (1st working paper)
- IPSERA Doctoral Workshop 2025, Rotterdam, The Netherlands (1st working paper)
Seminar Presentations
- 2026 Department Information Systems and Operations Management - Tilburg University — External seminar
- 2026 Department of Technology & Operation Management - RSM — Internal seminar
- 2026 Department of Supply Chain Management & University of Cologne — Human-AI Reading Club
- 2025 Negotiation and Team Resources (NTR) - AI Negotiation Think Tank
- 2025 Department Operation Management - Information Systems - IE University — Brownbag seminar
- 2024 Psychology of AI Lab - RSM — Brownbag seminar
Teaching
Rotterdam School of Management, Erasmus University Rotterdam
Fundamental Models of Operations Management,
Teaching assistant — Designing and grading assignments + running group workshops.
Business Analytics and Decision Making,
Teaching assistant — Handling Q&A during workshops to translating analytics into managerial decision-making.
Behavioral Operations,
Teaching assistant — Lecturer + Examination support.
Thesis Coaching & Co-Reading,
Coaching and co-reading master theses across Supply Chain Management, Business Analytics & Management, and Business Information Management.
Internship Academic Supervision,
Academic supervisor for bachelor internship trajectories.
Rijksuniversiteit Groningen
International Business,
Teaching assistant.
Mentoring,
Mentor for study performance and academic attitude.
SGH Warsaw School of Economics
Future Supply Chains,
Guest lecturer.
Awards
DPW Awards (Judging Panel), 2025
Procurement leaders evaluating startups shaping the future of procurement and supply chainAnton Dreesmann Award, 2024
Best retail thesis in the Netherlands, for “Forecasting Demand in Grocery Retail”Santander Technology Scholarship | Digital Experience — IBM, 2021
2nd Place, IBM–FC Groningen Digital Business Challenge, 2021
Summer Schools & Training
- Tinbergen Institute — AI Agents
- Tinbergen Institute — Deep Learning
- University of St. Gallen, Global School in Empirical Research Methods — Generative AI with LLMs
- University of Oxford — LLMs Workshop
- Universität Wien — Behavioral Operations Research
- University of Wisconsin–Madison — Behavioral Operations Management Summer Institute