Summary
Ryan Arlitt is a Principal Engineer based in Ireland with a decade of experience at the intersection of design theory and computational methods, now applying that expertise to quantum-focused challenges at Horizon Quantum. He researches and builds data-driven approaches for the fuzzy front end of engineering design—spanning innovation, creativity, system modeling, and risk analysis—drawing on a PhD in Mechanical Engineering and academic roles from Oregon State to DTU. Ryan blends machine learning with human-centered design methods, has a track record of teaching and supervising project-based CAD, IoT, and design courses, and has led cross-disciplinary research from postdoc to faculty level. Notably, his work emphasizes formalizing designer mental models and translating tacit expertise into computational workflows, making him adept at turning ambiguous, early-stage problems into structured, analyzable systems.
10 years of coding experience
7 years of employment as a software developer
PhD, Mechanical Engineering, PhD, Mechanical Engineering at Oregon State University
MS, Systems Engineering, MS, Systems Engineering at University of Missouri-Rolla