Jakob Havtorn is an ML Engineering Manager and Industrial PhD with nine years of experience applying modern machine learning to healthcare, specializing in multimodal problems across speech, text, and images. He has advanced through technical and leadership roles at Corti, where he built the R&D function, led teams shipping microservice-based ML systems, and moved research prototypes into production. His research contributions include publications at ICML, ACL, AISTATS and NPJ Digital Medicine, with expertise in uncertainty quantification and robust speech processing. Comfortable across the full ML lifecycle, Jakob pairs method development and rigorous validation with practical deployment, monitoring and team mentorship. A hands-on researcher who has also taught and supervised students, he blends academic rigor from DTU with product-focused engineering in clinical settings.
9 years of coding experience
3 years of employment as a software developer
School leaving examination of the Danish Public School, General Education, School leaving examination of the Danish Public School, General Education at Randers Realskole
High School, Natural Sciences, High School, Natural Sciences at Randers Statsskole
Technical University of Denmark
Danish Public School, General Education, Danish Public School, General Education at Grønhøjskolen
Contributions:5 PRs, 54 pushes, 6 branches in 2 years 4 months
pythonnumpytorchneural-networksmachine-learning
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