We apply machine learning, time series, and other novel analysis techniques to solve complex problems in astrophysics and other research fields.
Time series analysis
We study how the presence of nuclear radiation fields in the vicinity of the jet affects the cooling of relativistic particles. Ben Groebe has developed an analysis algorithm using ARIMA models that allows us to characterize systematic differences between the gamma-ray light curves of BL Lacs and flat spectrum radio quasars.
Other projects
Machine learning
Finding new gamma-ray emitting AGN
Lorentz invariance violation
Search for energy-dependence of the speed of light
Genome sequencing analysis
Using high-energy astrophysics analysis algorithms in biological data sets