My journey into thin film optimization didn’t start in software. It started in a lab, studying Laser- and Optotechnologies.
For years, I watched brilliant designers struggle with agonizingly slow, CPU-bound simulations, their creativity limited by computational walls.
I asked a simple question: Why?
Why isn’t the massive parallel power of the GPU—the engine behind AI and real-time graphics—being unleashed on this critical problem?
That question became a mission.
I am now applying over a decade of expertise in high-performance computing to answer it. My work is dedicated to building GPU-accelerated optimization tools that shatter these traditional constraints. This isn’t about incremental gains. It’s about a fundamental leap: enabling the discovery of radically superior designs that use fewer layers, less material, and a fraction of the time.
My goal is to revolutionize this field—to turn what was once a hours-long process of compromise into a minutes-long process of discovery, saving immense costs and unlocking designs that were previously impossible.
As I believe, this is the future of photonic design, it’s powered by the GPU.