Dr. Tim Schopf
AI Specialist @ Roland Berger
Hi, I’m Tim! 👋
I work at the intersection of AI and business transformation, with a focus on building practical, scalable solutions around generative AI and intelligent analytics.
Since September 2026, I have been an AI Specialist at the Roland Berger AI Lab in Stuttgart. In this role, I help design and implement advanced AI solutions for clients and internal teams, combining technical solutions with strategic consulting to turn emerging AI capabilities into tangible business impact.
Before joining Roland Berger, I was an AI Research Scientist at the National Institute of Informatics (NII), where I worked with Prof. Akiko Aizawa on faithful natural language explanations for multimodal claim verification and AI agents for scientific discovery. Earlier, as a postdoctoral researcher at ScaDS.AI, I focused on evidence-based text generation. I completed my PhD at the Technical University of Munich, where I researched NLP and knowledge graph approaches for exploratory search in scholarly literature.
My core interests include:
- Generative AI and LLM applications in real business contexts
- AI strategy, prototyping, and deployment for scalable solutions
- Reliable and explainable AI for decision support and knowledge work
- Evidence-based, transparent AI systems
Broadly, I aim to build AI systems that are not only powerful, but also useful, trustworthy, and grounded in real-world needs.
News
| Sep 15, 2026 | I am excited to share that I have joined the Roland Berger AI Lab as an AI Specialist in Stuttgart 🇩🇪. In this new role, I am working at the intersection of AI and business transformation, helping clients and teams turn emerging technologies into scalable, business-ready solutions. |
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| Sep 08, 2026 | Multimodal LLMs are much better at verifying claims from scientific tables than equivalent charts. Our paper, accepted to AACL-IJCNLP 2026, investigates why🕵️♂️: do models fail to extract chart information, or fail to use it effectively once extracted? Looking forward to sharing our work in Hengqin 🇨🇳! |
| Aug 21, 2026 | How can we use automated novelty judgment of research ideas to accelerate scientific discovery? In our EMNLP 2026 paper, Think-Probe-Respond: Improving Large Language Models as Judges of Research Idea Novelty, we introduce a lightweight approach that probes LLMs’ latent novelty judgments and outperforms strong baselines. Looking forward to sharing our work in Budapest 🇭🇺! |
| Apr 04, 2026 | How can we trace LLM outputs back to reliable sources? In our paper, Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models, accepted to ACL 2026, we present a unified overview of this emerging research area. Looking forward to sharing our work in San Diego 🇺🇸! |
| Mar 11, 2026 | Our paper Is this Idea Novel? An Automated Benchmark for Judgment of Research Ideas has been accepted to LREC 2026. See you in Mallorca 🇪🇸! |
| Mar 07, 2026 | I joined the research group of Prof. Akiko Aizawa at the National Institute of Informatics 🇯🇵! This international research stay is funded by a scholarship of the German Academic Exchange Service (DAAD). |
| Nov 04, 2025 | I successfully defended my PhD thesis on “Semantic Knowledge Representation and Grounded Natural Language Generation for Exploratory Search of Scholarly Literature” at the Technical University of Munich! 🎓 |
| Jun 12, 2025 | 🏆 We won 1st place in the SciHal 2025 Shared Task on Hallucination Detection for Scientific Content at ACL. Check out our paper to learn more about our winning approach. See you in Vienna 🇦🇹! |
| Jan 07, 2025 | I joined the research group of Prof. Michael Färber at ScaDS.AI & TU Dresden as a postdoctoral researcher! |
| Jun 03, 2024 | Our paper NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing has been accepted to ACL 2024. See you in Bangkok 🇹🇭! |