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I am a Research Scientist in computer vision, machine learning, and computer graphics, currently working as a postdoctoral researcher in Visual Computing at the University of Bonn.

My work focuses on 3D reconstruction, neural rendering, view synthesis, and high-resolution capture systems. I enjoy working across the full stack of visual computing, from research ideas and learning-based methods to GPU optimization, distributed systems, and complete research prototypes.

Experience Link to heading

University of Bonn · Postdoctoral Researcher Link to heading

Visual Computing · since 2025

My current work centers on high-resolution capture, dynamic 3D reconstruction, view synthesis, and real-time visual computing.

At the Visual Computing Incubator, I lead software development for a distributed multi-camera capture system, coordinate development across a larger team, and supervise researchers and students.

Inside the Visual Computing Incubator capture stage
Visual Computing Incubator, University of Bonn © Maximilian Waidhas

Disney Research Studios · Research Intern Link to heading

Zürich · 2020 & 2022

During two internships at Disney Research Studios, I worked on frame interpolation for rendering applications.

My later project focused on uncertainty-guided interpolation, while my earlier work explored improved optical-flow estimation for rendered content.

Presenting research poster at CVPR
Presenting our poster on frame interpolation at CVPR in Vancouver

University of Bonn · PhD Researcher Link to heading

Visual Computing · 2020-2024

During my PhD, I worked on reconstruction problems across computer vision and graphics, including high-resolution stereo matching, non-line-of-sight imaging, and differentiable rendering.

I was also involved in the early development of the VCI capture-stage software and in evaluating camera systems and hardware for large-scale visual capture.

UCLA · Visiting Researcher Link to heading

Department of Mathematics · 2018-2019

At UCLA, I studied the spatial and temporal dynamics of topics in Twitter data as part of a research project in applied mathematics.

The project later became my master’s thesis, where I developed an end-to-end system for analyzing and visualizing trending topics across Los Angeles.

Ultimate frisbee break during my research stay at UCLA
Ultimate frisbee break during my research stay at UCLA, Los Angeles

Education Link to heading

Dr. rer. nat., Computer Science · University of Bonn, 2024
magna cum laude
Spatial Priors and Uncertainty for Enhanced Reconstruction in Computer Graphics and Vision

M.Sc. Computer Science (Visual Computing) · University of Siegen, 2019
Grade 1.0

B.Sc. Computer Science (Visual Computing) · University of Siegen, 2017
Grade 1.2

Awards & Scholarships Link to heading

Krombacher IT Prize · 2020
Awarded for my master’s thesis on topic modeling and the analysis of Twitter data.
Article

DAAD FITweltweit Scholarship · 2018–2019
Scholarship supporting my research stay at UCLA.