Joel P. Barmettler

Analyzed 21 LLMs using 75 Swiss political questions and PCA visualization, revealing progressive bias with 84%+ alignment to SP/Greens and under 68% to SVP across all models.

Developed neuro-symbolic system injecting KG concept vectors into LLM embedding space, achieving 272% factual recall improvement over GPT-2 baseline and 213% improvement over RAG with 130x fewer tokens, published at WWW'26.

Built open-source simulator for urban drone traffic management using 3D city models, A* pathfinding, and auction mechanisms to optimize airspace allocation efficiency and fairness.

Implemented Nishita sky model in appleseed renderer (280K+ lines C++) with first-ever ozone layer simulation, achieving superior efficiency over Blender Cycles while maintaining physical accuracy.