My research interests mainly lie in astrostatistics, computational statistics, nonparametric statistics, and large-scale inference. The main purpose of my work is to provide highly generalizable statistical solutions that directly address fundamental questions in the physical sciences, and can at the same time be easily applied to any other scientific problem following a similar statistical paradigm.  In line with this, motivated by problems arising in high energy physics and astronomy, my current research focuses on statistical inference for signal detection, background estimation, distributed learning, and uncertainty quantification.