Neko Health
Eskil Jörgensen is a skilled data scientist with extensive experience in machine learning, computer vision, and signal processing across various prestigious organizations. Currently serving as a Data Scientist at Neko Health since February 2023, Eskil also consults for Lorichs Innovations, applying a broad range of advanced technologies. Prior experience includes significant roles at Apple, where responsibilities encompassed work on the 3D Vision Team as a Senior Machine Learning Engineer and Machine Learning Engineer. Eskil's background features a deep focus on deep learning and education, having worked as a Teaching Assistant at Chalmers University of Technology and holding a Master's Thesis position at Ericsson. Academic credentials include a Graduate degree in Computer Vision and Machine Learning from Chalmers University, and a Master's degree in Applied Physics and Electrical Engineering from Linköping University, enriched by international experiences in Taiwan and China.