Summary
Christopher Funk is a Senior R&D Engineer at Kitware with over a decade of experience applying machine learning to computer vision, holding a PhD in Computer Science from Penn State. He leads DARPA-funded projects (LwLL and SAIL-ON) that push state-of-the-art techniques in label-efficient domain adaptation, open-world novelty detection, and continual learning, collaborating with top academic partners and DARPA directly. Christopher’s work spans deep learning for 2D image understanding, geometric reconstruction, and long-sequence 3D motion-capture analysis, including early methods to infer foot pressure from video. He has published at CVPR and ICCV and created the official CVPR paper-visualization for 2020 and 2021, reflecting both research depth and community impact. Known for designing crowdsourced data collection workflows and rigorous quantitative evaluations, he combines academic rigor with practical systems development to tackle previously unsolved vision problems.
10 years of coding experience
6 years of employment as a software developer
Franklin & Marshall College
Master of Science (M.S.), Computer Science, 4.0, Master of Science (M.S.), Computer Science, 4.0 at Pace University-New York
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Penn State University