I’m a physicist and researcher with extensive work in quantum information processing, machine learning, and advanced hardware architectures. I have a PhD in Atomic and Laser Physics from the University of Oxford, and my research focused on deterministic single photon production and electronics for low latency hardware control and software for controlling generalised quantum systems with reinforcement learning.
I have extensive experience applying research to commercial technologies. During my time at the quantum computing firm Riverlane, I worked on developing scalable control electronics capable of interfacing with a variety of hardware architectures. Currently, I work on novel hardware architectures for AI and software for streamlining the chip development process.
I also gained experience identifying and supporting entrepreneurial scientists as an Investment Partner at Creator Fund. This role taught me a thorough approach to technical diligence, ensuring that novel technologies—ranging from blockchain to semiconductors—possess both a robust scientific basis and the potential to rewrite industry standards.
Jan is a Resident Research Scientist at Normal Computing. We sometimes call on him for advice on projects related to semiconductors, quantum computing, and optical computing.
