Experience

Research and engineering across agentic AI, controllable video generation, 3D generative models, and robotics.

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Norman Müller

Research scientist & engineer

mail@normanm.de · https://www.normanm.de

Experience

  1. 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.

  2. 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.

  3. 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.

  4. 2021

    Research Scientist Intern

    Meta Reality Labs, Zurich

    Developed AutoRF for learning 3D object radiance fields from single-view observations, published at CVPR 2022.

  5. 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.

  6. 2016 - 2018

    Software Developer for Robotics

    BMW Group, Munich

    Developed perception software for robotic systems in automotive manufacturing.

Education

  1. 2019 - 2024

    PhD, summa cum laude

    Technical University of Munich

    Dissertation: Generative Models on 3D Representations, advised by Prof. Matthias Niessner.

  2. 2014 - 2016

    MSc Mathematics, GPA: 4.0/4.0

    RWTH Aachen University

  3. 2013 - 2016

    MSc Computer Science, GPA: 4.0/4.0

    RWTH Aachen University

  4. 2010 - 2013

    BSc Mathematics, GPA: 3.8/4.0

    RWTH Aachen University

  5. 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