September 3, 2013
I have BS EE and MS EECS degrees. I've been actively involved in the research and development of machine learning (ML) and signal processing (SP) algorithms for use in a wide variety of applications going back to 1993 when I first started working as a researcher at Argonne National Laboratory (ANL). My work at ANL resulted in the formation of a local start-up company called SmartSignal in 1999 (now part of GE). At SmartSignal we were focused on machinery health monitoring. We developed a generalized kernel-based modeling approach to monitor mechanical equipment ranging from nuclear reactor coolant pumps to commercial jet engines. In 2007 I left SmartSignal to join VGBio to develop an analogous system for monitoring the human machine. In the course of my research and development efforts at SmartSignal and VGBio I have investigated and/or deployed ML and SP algorithms to handle signal noise and artifact removal, feature extraction, data preparation, regression and classification.
I'm interested in presentations and discussions on the latest ML-based research and application development being conducted by academic and industry researchers in the Chicago area.
I am Chief Science Officer at VGBio. I am responsible for the R&D efforts at VGBio where we are applying machine learning, signal processing and statistical analysis techniques to ambulatory human bio-signal sensor data.