Associate Professor of Physics
Tenured physics professor with peer-reviewed UAP publications and prior NASA experience. His estimates have been challenged on parallax and sensor-interpretation grounds, but the work is the kind of quantitative analysis the field has long lacked.
'Estimating Flight Characteristics of Anomalous Unidentified Aerial Vehicles'
Co-authored 2019 paper in Entropy applying Bayesian inference to publicly available UAP sensor data, calculating accelerations on the order of thousands of g for several Navy-recorded incidents.
UAP physics conference advocacy
Has presented UAP work at the AIAA and SCU annual conferences, normalizing peer-reviewed engagement with the topic.
Estimating Flight Characteristics of Anomalous Unidentified Aerial Vehicles
2019 • EntropyWorks on intelligent data analysis and signal processing.
Begins academic career in physics, focusing on information theory and Bayesian inference.
First peer-reviewed quantitative analysis of military UAP sensor data.
“If we accept the publicly available data at face value, we are looking at flight characteristics that violate everything we know about aerospace engineering.”
SCU UAP conference•2021