Summary
Alexander Lundervold is a professor and AI engineering practitioner with 13 years of experience bridging data science, software engineering, and machine learning engineering to move models into real-world solutions. He combines a strong academic foundation—a PhD in numerical analysis and advanced studies in topology and computer science—with hands-on roles in healthcare research, consultancy, and senior data science at BergenMMIV and Haukeland universitetssjukehus. As a partner at AkademiX and a long-time academic leader, he focuses on integrating ML systems with established processes to deliver measurable domain impact rather than isolated models. Colleagues value his pragmatic research orientation: he asks not just whether a model works, but how it interacts with people, systems, and organizational constraints. Based in Bergen, Norway, he pairs formal mathematical rigor with practical AI engineering, often translating theoretical insights into deployable solutions.
13 years of coding experience
12 years of employment as a software developer
MSc., Topology, MSc., Topology at University of Bergen (UiB)
PhD, Numerical analysis, PhD, Numerical analysis at University of Bergen
Computer Science, Computer Science at Coursera, edX, Udacity