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About Me
I'm a Researcher at Black Forest Labs 🌲, where I do fundamental research on generative multimodal models, including RL post-training and safety research.
As these systems become more powerful and widely deployed, ensuring they behave responsibly and do not produce harmful or biased outputs is critical. My research addresses both the advancement and the responsible deployment of generative AI.
Research Topics: Generative Multimodal (World) Models · Inference | RL | Post-Training · AI Safety
News
May 2026
🌲 Joined Black Forest Labs as a Researcher, working on the fundamentals of generative multimodal models.
June 2026
Presenting our work on Inference-time Physics Alignment of Video Generative Models with Latent World Models at CVPR 2026 (Spotlight) in Denver.
2025
Measuring and Guiding Monosemanticity accepted as a NeurIPS 2025 Spotlight.
2025
Wrapped up a postdoc at Meta FAIR in Montreal — working on RL post-training for generative models and V-JEPA as a physics reward model.
Timeline
2026 – present
Researcher at Black Forest Labs 🌲, Freiburg, Germany. Fundamental research on generative multimodal models, including RL post-training and safety research, with Andreas Blattmann, Robin Rombach, Axel Sauer, Jonas Müller, and the team.
2025 – 2026
Postdoctoral Researcher at Meta FAIR, Montreal, Canada. Worked with Michal Drozdzal, Adriana Romero-Soriano, Nicolas Ballas, and Luke Zettlemoyer on RL post-training for generative models and V-JEPA as a physics reward model.
Postdoctoral Researcher at Meta FAIR, Montreal, Canada. Worked with Michal Drozdzal, Adriana Romero-Soriano, Nicolas Ballas, and Luke Zettlemoyer on RL post-training for generative models and V-JEPA as a physics reward model.
2024 – 2025
2021 – 2025
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PhD student with Prof. Kristian Kersting at Machine Learning Lab, TU Darmstadt, and 3AI, hessian.AI, Germany.
2020
Erasmus+ at Chalmers University of Technology, Gothenburg, Sweden.
2019 – 2021
M.Sc. in Computer Science (minor in Psychology), TU Darmstadt, Germany.
2018 – 2021
M.Sc. (with honors) in Autonomous Systems, TU Darmstadt, Germany.
2017
Research internship on intelligent autonomous driving systems at IAV, Volkswagen Group, Germany.
2014 – 2017
B.Sc. in Electrical Engineering, TU Dortmund, Germany.
Selected Publications
For a full list, see my Google Scholar profile.
Inference-time Physics Alignment of Video Generative Models with Latent World Models
CVPR 2026 (Spotlight)
arXivMultilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
ACL 2025
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Oxford Handbook on the Foundations and Regulation of Generative AI 2025
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
ICML 2025
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
COLING 2025
FairDiffusion: Auditing and Instructing Text-to-Image Generation Models on Fairness
AI and Ethics 2024
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming
Online Workshop on Red Teaming Generative AI Models 2024
MultiFusion: Fusing Pre-trained Models for Multi-lingual, Multi-modal Image Generation
NeurIPS 2023
Teaching
Supervised courses at TU Darmstadt with Prof. Dr. Kristian Kersting:
| Semester | Course |
|---|---|
| WS 2024 | Probabilistic Graphical Models |
| WS 2023 | Probabilistic Graphical Models |
| SS 2022 | Data Mining and Machine Learning |
| WS 2021 | Introduction to AI |
| SS 2021 | Deep Learning: Architectures and Methods |
| SS 2020 | Statistical Machine Learning |