I have a wide variety of research interests, but I am particularly interested in the intersection of signal processing and machine learning. Lately I am using statistical signal processing and machine learning to perform separation, classification, and enhancement of speech and audio.
As part of my undergraduate coursework in the Electrical, Computer, and Energy Engineering (ECEE) department at the University of Colorado Boulder, I worked on image compression, image registration for MRI, machine learning for event classification from EEG data, compressive sensing, and image and video retargeting. Though I am more focused on signal processing these days, I have also done a fair amount of hardware design and embedded systems development. My past research projects include working with Dr. Josh Smith in the Sensor Systems Laboratory at the University of Washington on the Wireless Resonant Energy Link (WREL) project, an adaptive wireless power system that can power moving devices in volumes of space using magnetically coupled resonators (MCRs).
My industry experience includes two years working as a software/hardware engineer in the Advanced Engineering Program at Fluke Networks in Everett, WA. During my time there, I worked on a variety of fun projects including implementation of signal processing algorithms on FPGAs and embedded platforms, firmware for embedded systems, Linux device drivers, user interface design, and .NET application development. I have also worked internships at Agilent Technologies and Lockheed Martin.
My other hobbies (when I can find time) include playing electric bass, skiing, hiking, biking, running, swimming, homebrewing, and cooking.