Summary
Jason Hoelscher-obermaier is Director of Research at Apart Research, leading a remote-first AI safety fellowship and global hybrid research hackathons to build talent and advance practical safety evaluations for large language models. With a PhD in experimental quantum physics and formal training in philosophy, he brings ten years of interdisciplinary experience spanning AI research engineering, NLP product work, and ML benchmarking in startups and research labs. He has hands-on experience building systems for scientific knowledge extraction, embeddings and knowledge graphs, and model interpretability and alignment, while structuring projects that consistently drive innovation. Jason’s background bridges deep technical rigor and philosophical thinking, which informs his focus on AI interpretability and alignment rather than purely performance-driven ML. Outside of work he sings in classical choirs and manages one, a detail that reflects his long-standing commitment to collaboration and sustained community leadership. Based in Vienna, he is actively open to collaboration and mentoring across the AI safety ecosystem.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Vienna
Master's degree Philosophy of Physics, Master's degree Philosophy of Physics at University of Oxford
Diplom (MSc equivalent) Physics, Diplom (MSc equivalent) Physics at University of Regensburg
University of California, Irvine
English, German, French, Spanish, Portuguese, Latin