Machine Learning
We develop novel machine learning algorithms for scientific discovery, enabling innovative approaches to data analysis, pattern recognition, and predictive modeling across diverse scientific domains.
HPC and Optimization
We push the limits of high-performance computing by leveraging hybrid architectures, and advancing computational efficiency and scalability for complex scientific challenges.
Black Hole Images
I am a founding member of the Event Horizon Telescope. As the inaugural Project Scientist of the collaboration and PI of the Black Hole PIRE project, I guided the analyses that led to the first black hole picture.
General Relativity
My group has pioneered the development of tests of Einstein’s General Theory of Relativity using observations of black holes and neutron stars in the electromagnetic spectrum.
I am a professor of Physics at Georgia Tech. I use advanced computational techniques, hybrid computer architectures, and innovative machine-learning algorithms to answer fundamental questions related to black holes, magnetohydrodynamic turbulence, and the interaction of matter with radiation in extreme conditions.
I am a founding member of the Event Horizon Telescope, the international mm-VLBI experiment that has taken the first picture of a black hole with the horizon-scale resolution, and served for three years (2016-2019) as the Project Scientist of the collaboration.
Before moving to Georgia Tech in 2022, I was a professor of Physics and Astronomy at the University of Arizona and the Chair of the Theoretical Astrophysics Program there.