Summary
Niklas Pirnay is a postdoctoral scientist in Berlin with 10 years of experience at the intersection of machine learning and quantum computing, now researching variational quantum computation and physically unclonable functions. He completed his PhD at Technische Universität Berlin after progressing through bachelor’s and master’s studies at the same institution, combining rigorous academic training with hands-on research. His work bridges practical ML techniques and quantum programming, with a focus on adversarial and security-relevant applications such as ML attacks on PUFs. Colleagues describe him as equally comfortable designing variational quantum circuits and implementing classical ML pipelines, bringing experimental rigor and reproducible code to exploratory quantum research. An understated strength is his continuity within a single leading research environment, giving him deep domain knowledge and long-term project ownership.
10 years of coding experience
2 years of employment as a software developer
PhD (Dr. rer. nat.), Computer Science, PhD (Dr. rer. nat.), Computer Science at Technische Universität Berlin