Mr David Krejcik

I'm a researcher and developer with a strong interest in machine learning, astrophysics, and computer systems. My work sits at the intersection of science and technology, often focusing on how we can use advanced computational methods, especially AI, to tackle complex problems in space science. Lately, I've been working on improving our understanding of radiation damage in CCDs and exploring how machine learning can support or even replace traditional calibration techniques.

I enjoy working on projects that combine scientific insight with technical problem-solving, particularly where large datasets, simulation pipelines, and performance constraints come into play. I’ve spent a lot of time developing tools for processing and analyzing data efficiently, often making use of GPUs, parallel computing, and automation strategies.

Outside of work, I like keeping up with the latest in AI and computer architecture, building side projects, and occasionally diving into game development. I’m always looking for ways to combine technical depth with creativity, and I get a lot of satisfaction from building tools or models that are not just functional but elegant and insightful too.