Summary
Christian Have is a technical lead and researcher with 19 years of experience bridging academic rigor and industry delivery in AI, model risk management, and high-performance data analytics. He has a strong track record validating and operationalizing ML models in financial crime and credit risk at Nordea and EY, and now builds Neuro-Symbolic AI solutions while shaping AI risk practices. His background spans a PhD in probabilistic logic programming and postdoctoral work on genetic data analytics, giving him uncommon depth in probabilistic methods, data quality, imputation, and privacy-aware pipelines. Comfortable in startups, consultancies, and large organisations, he pairs hands-on software and security engineering from early career roles with leadership in innovation teams. Notably, he has translated academic techniques into production-ready controls and group-wide model risk systems, making theoretical methods auditable and scalable in regulated environments.
19 years of coding experience
16 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at IT-Universitetet i København
Bachelor's degree, Computer science, Bachelor's degree, Computer science at Deakin University
Datamatiker, Computer science, Datamatiker, Computer science at Skive EDB Skole
English, Danish, German