I am a postdoctoral researcher in the Department of Mathematics and Operational Research at the University of Mons, Belgium. My primary research interest is in applying geometric data analysis to statistical signal processing and pattern recognition problems. I have developed theory and created practical tools that leverage Riemannian geometry for applications such as hyperspectral image analysis, face recognition, unsupervised action recognition, and direction-of-arrival estimation in beamforming. Currently I am investigating multi-set canonical correlation analysis with small sample support, applications of Schubert variety constrained optimization, and low-rank matrix and tensor approximations. ©

I`m a retired network engineer. Since retiring I`ve been writing Swift applications for MacOS and iOS as an independent developer. Most of these are applications useful for network engineers: Etherdump: Packet capture and analysis tool Network Mom ACL Analyzer: Analyzes Cisco ACLs Network Mom Availability: Monitors devices and reports availability metrics Netrek: A reimplementation of the classic internet game using Swift and SpriteKit (open-sourced) Binaries for all three are in the MacOS 10.14 Mojave App Store. Etherdump and Netrek sources are public in my GitHub repository. ©