Experience
Research and engineering across agentic AI, controllable video generation, 3D generative models, and robotics.
Norman Müller
Research scientist & engineer
mail@normanm.de · https://www.normanm.de
Experience
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2026 - present
Member of the Technical Staff
Microsoft AI, Zurich
Reinforcement learning for agentic models. Contributed to the coding capabilities of MAI-Thinking-1 through RL training.
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2023 - 2026
AI Researcher
Meta Reality Labs, Zurich
Led team research on 3D generative AI, including 3D-aware video generation and feed-forward reconstruction. Shipped photorealistic 3D reconstruction to Meta Horizon Hyperscape on Quest.
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2022
Research Scientist Intern
Meta Reality Labs, Zurich
Developed DiffRF, a diffusion model for 3D radiance fields, later recognized at CVPR 2023 and with the MDSI Best Paper Award 2024.
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2021
Research Scientist Intern
Meta Reality Labs, Zurich
Developed AutoRF for learning 3D object radiance fields from single-view observations, published at CVPR 2022.
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2019 - 2023
Research Associate
Technical University of Munich
Research on generative models for 3D representations in the Visual Computing and Artificial Intelligence group, advised by Prof. Matthias Niessner.
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2016 - 2018
Software Developer for Robotics
BMW Group, Munich
Developed perception software for robotic systems in automotive manufacturing.
Education
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2019 - 2024
PhD, summa cum laude
Technical University of Munich
Dissertation: Generative Models on 3D Representations, advised by Prof. Matthias Niessner.
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2014 - 2016
MSc Mathematics, GPA: 4.0/4.0
RWTH Aachen University
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2013 - 2016
MSc Computer Science, GPA: 4.0/4.0
RWTH Aachen University
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2010 - 2013
BSc Mathematics, GPA: 3.8/4.0
RWTH Aachen University
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2010 - 2013
BSc Computer Science, GPA: 4.0/4.0
RWTH Aachen University
Awards & honors
- 2024
MDSI Best Paper of the Year Award
First place for DiffRF, awarded by the Munich Data Science Institute.
- 2016
Springorum Medal
For excellent academic performance in the Master's degree in Mathematics at RWTH Aachen.
- 2016
Springorum Medal
For excellent academic performance in the Master's degree in Computer Science at RWTH Aachen.
- 2013
Schöneborn Award
For outstanding achievements in the Bachelor's degree in Computer Science at RWTH Aachen.
Projects
- MAI-Thinking-1 — Contributed to its coding capabilities through reinforcement-learning training.
- Meta Horizon Hyperscape — Shipped photorealistic 3D reconstruction as part of the research team.
- DVIS — Created a lightweight bridge from Python research code to interactive 3D visualizations.
Academic service
- Area Chair
- CVPR (since 2025)
- Reviewer
- CVPR (since 2022), ICCV (since 2023)
Technical skills
- Research expertise
- Agentic reinforcement learning, controllable video generation, 3D generative AI, reconstruction
- Programming
- Python, C/C++, JavaScript
- Machine learning
- PyTorch, Triton, CUDA
- Infrastructure & visualization
- Kubernetes, Slurm, Git, three.js
Publications and research resources: https://www.normanm.de/publications/