Summary
Mikkel Schmidt is an associate professor at the Technical University of Denmark with over a decade of experience developing machine learning and signal processing methods to extract knowledge from complex data. His work blends Bayesian statistics, mathematical modelling and AI to tackle challenging inference problems, grounded in a PhD in signal processing and postdoctoral research at Cambridge. He has progressed through DTU from PhD to faculty, combining deep theoretical expertise with practical algorithm development and real-world signal processing applications. Based in Copenhagen, he brings a history of international collaboration and an unusual early-career mix of software development and political organization experience that informs his pragmatic, multidisciplinary approach.
10 years of coding experience
1 year of employment as a software developer
M.Sc., Speech signal processing, M.Sc., Speech signal processing at Aalborg University
Postdoctoral, Postdoctoral at University of Cambridge
HTX, Electronics, HTX, Electronics at Herning tekniske skole
Technical University of Denmark
B.Sc., Engineering, B.Sc., Engineering at Handels- og Ingeniørhøjskolen i Herning
English, Danish