Assist. Professor

My research focuses on data intensive problems in astrophysics, using gravitational lensing to study black hole physics, dark matter, and cosmology. I employ interdisciplinary approaches, such as statistical methods for inverse problems, paradigm shifting machine learning techniques, and hardware acceleration by Graphics Processing Units, to analyze the ever increasing volume and variety of astronomical data. Specifically, I focus on modeling lenses observed by space and ground based telescopes, in multiple wavelengths and as a function of time (through light curves). The latter are particularly relevant for lensed quasar and supernova studies, where microlensing effects become important (see this link  for an interactive app). Currently, I am working with data from the groundbreaking Euclid and LSST surveys, while preparing for the future SKA, Roman, and other exciting new instruments.