Tilman de Lanversin

Tilman de Lanversin (he/him)

Computer Scientist | MSc Student at ETH Zurich

Zurich, Switzerland

About

MSc Computer Science student at ETH Zurich specializing in Visual and Interactive Computing with a minor in Machine Learning. Passionate about computer graphics, physically-based simulation, and machine learning applications. Experience includes research at DisneyResearch|Studios, teaching assistance at ETH Zurich, and developing advanced rendering and ML systems.

Languages: French & German (native), English (fluent), Spanish (basic), Japanese (learning)
Programming: Python, C++, Java, Haskell, OCaml, CUDA, C#, SQL, LaTeX

Selected Projects

Detecting PSE Sensitive Content

Detecting PSE Sensitive Content

Python | May 2024 - Nov 2025

Developed a Python framework for comparative analysis of algorithms that detect Photosensitive Epilepsy (PSE) triggers. Designed a novel approach for detecting flashing content in videos, achieving high algorithmic and computing efficiency.

Position Based Fluids Simulation

Physically Based Simulation in Computer Graphics

C++ | Sept 2024 - Dec 2024

Implemented a Position Based Fluids simulation in C++ from scratch, delivering a visually accurate and computationally efficient fluid dynamics model.

Yggdrasil Ascension Game

Game Programming Laboratory - Yggdrasil Ascension

C# & Monogame | Mar 2023 - June 2023

Led a team as lead designer and organizer to create the game Yggdrasil Ascension from scratch, resulting in a first-place audience award. Managed the full development lifecycle, including game conception, prototyping, and programming.

View on GitHub →
Nori-based Rendering Engine

Nori-based Rendering Engine

C++ & Nori | Sept 2022 - Dec 2022

Developed multiple rendering integrators for ray tracing using the Nori rendering engine. Successfully implemented complex techniques, including a Heterogeneous Volumetric Photon Mapper and Multiple Importance Sampling.

Asteroid Impact Dataset Visualization

Scientific Visualization - Asteroid Impact Dataset

C++, Python, VTK, Paraview | Mar 2023 - June 2023

Visualized a large-scale Asteroid Impact dataset from Los Alamos National Laboratory. Implemented advanced visualization techniques, including volumetric renderings and Contour Trees, to reveal complex scientific phenomena.