Summary
David Cerna is a Research Fellow and symbolic AI specialist with 14 years of experience bridging formal logic and practical research across academia and industry. Based in Vienna, he leads and contributed to multiple EU- and university-funded projects at Johannes Kepler Universität and now researches at the Academy of Sciences of the Czech Republic, with a recent industry stint in Dynatrace’s Open Innovation Lab. His work combines deep theoretical foundations—rooted in a PhD from TU Wien and dual degrees in CS and Math from RPI—with applied logic tools and teaching-driven project leadership. Known for advancing logic-based AI methods, he often operates at the intersection of formal verification, knowledge representation, and deployable research prototypes. An unassuming polymath, he moves fluidly between principal investigator duties and hands-on research lab engineering.
14 years of coding experience
3 years of employment as a software developer
Vienna University of Technology
master, Computer science, master, Computer science at Rensselaer Polytechnic Institute
German, English