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Stephan W.

Location:

Chicago, IL

Member since:

September 3, 2013

What is your background in Machine Learning (e.g. what was your major, how long have you been studying related topics, do you use similar methodologies for work)?

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.

What types of meetings would you like from the ML Meetup? (presentations, interactive study sessions, hackathons, etc.)

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.

Introduction

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.


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