Ryan Kappedal

Former Lecturer


High dimensional data

Research areas


Current Research

Ryan works on data where the number of parameters exceed the number of data points by an order of magnitude to try and find a lower dimensional structure for predictive analysis.  Some examples include DNA/RNA, seismic sensing data, FRMI imagery data.

Past Research

Gravimetric anomaly detection with compressed sensing.  Intelligence, surveillance, and reconaisance asset assignment.


University of Washington - PhD Statistics

Air Force Institute of Technology - MS Operations Research

United States Air Force Academy - BS Operations Research