Mia Siemon

Mia Siemon is a Computer Vision Research Scientist and Industrial PhD Student at Milestone Systems, focusing on unsupervised learning for anomaly detection in camera networks as part of a project in collaboration with Aalborg University. Prior experience includes roles as a Software Developer at NNIT, contributing to customer-centric projects through versatile teamwork, and a Delivery Student Assistant responsible for optimizing analytical tasks using Python. Additional experience encompasses teaching assistance in High-Performance Computing at DTU Compute, system administration and web development at Dansk Kommunikation ApS, and development work at Innsoft and GOQUAL Co., Ltd. Mia holds a Doctor of Philosophy in Video Anomaly Detection from Aalborg University and a Master’s Degree in Mathematical Modelling and Computation from DTU, alongside several other educational qualifications in Computer Science and Engineering.