Ph.D., Computer Science, University of Minnesota
M.S., Computer Science, University of Minnesota
M.S., Bioinformatics, University of Maryland, University College
B.S., Computer Science, Rose-Hulman Institute of Technology
Dr. Valovage is a SIFT Research Scientist specializing in applied machine learning and artificial intelligence. His Ph.D. thesis focused on improving machine learning methods for time series applications. First, his thesis work explored enhancing electricity disaggregation methods to operate in a completely unsupervised environment, enabling devices to be deployed with minimal consumer setup. The second part of his thesis introduced methods to improve classification accuracy of time series shapelets through selective z-normalization and learning new, custom distance metrics for each shapelet. Additional research interests include feature extraction, time series forecasting, bioinformatics, general game playing, and spatiotemporal data analysis.
Captain Valovage is also an infantry officer in the Minnesota Army National Guard. He has 15 years of military experience, including 6 years active duty experience. He has completed two year-long deployments to Kuwait in support of Operation Iraqi Freedom III and Operation New Dawn. Captain Valovage has received numerous awards including the Expert Infantry Badge and is a graduate of Army Ranger School, the Army’s premier school on small unit leadership and tactics. Captain Valovage is currently in his second Company Command position, and has prior leadership experience as a Company Executive Officer and Platoon Leader. He also has staff experience at both battalion and brigade levels in decisive action training environments.