GEN-AI

Position & Approach

My engagement with Generative AI is driven by both curiosity and critical reflection. I’m less interested in flashy effects than in the question of how we can use these technologies consciously and responsibly. Instead of relying on closed systems and Big Tech dependencies, I focus on open-source solutions and local workflows. This way, artistic work remains transparent, accountable, and in the hands of those who create it.


Use Cases

For me, AI is not a gimmick but a tool to expand cinematic possibilities. Some of the ways I integrate it include:

Documentary re-enactments: reconstructing scenes without losing authenticity.
Animation & hybrid formats: combining AI-generated assets with traditional animation and documentary material.
Immersive environments: building virtual spaces that open new perspectives on reality.

These approaches help unlock new layers of storytelling—always with the guiding question: How does AI change the way we perceive reality?


Teaching & Research

For several years, I have been teaching the fusion of immersive worlds, virtual environments, digital assets, and traditional cinematography. As a lecturer and workshop leader at HKU (Hong Kong University), Colgate University (USA), the HFF Munich Summer School and FH Mittweida I have worked with students, filmmakers, and artists to experiment with new methods and practices.
But this is only the beginning of a longer journey: combining film, research, and critical media practice will continue to open unexpected doors.



SHOWREEL GEN-AI 2025

coming soon

WORKFLOW EXAMPLE




SELECTED WORKS

EXCERPT FROM MAYBE ASK DZIGA VERTOV


LIQUID LIGHTS TRILOGY