Summary
Christofer Fellicious is a data scientist and PhD graduate from the University of Passau with eight years of experience applying machine learning and computer vision to digital forensics and imaging problems. He has bridged the semantic gap in virtual machine introspection by engineering ML classifiers for pointer and memory-structure extraction, and prototyped the first foundation model trained on raw memory dumps to recover key in-memory artifacts. In industry he translated MATLAB research into high-performance C++ systems for camera-noise estimation, sampling strategies, depth estimation and crystal-defect quantification, often surpassing performance and memory baselines. His research also produced novel GAN-based concept-drift detection and data-sampling methods that cut required training data by a factor of five. Based in Passau, Germany, he combines rigorous academic publication experience with hands-on production engineering across low-level systems and ML pipelines.
8 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Cochin University of Science and Technology
Masters in Computer Science, Computer Science, Masters in Computer Science, Computer Science at Universität Passau
English, Malayalam, Hindi, Tamil, German