Jared Kaplan

Jared Kaplan is an Associate Professor in the Department of Physics & Astronomy at Johns Hopkins University. His research spans theoretical physics and machine learning, focusing on quantum gravity, conformal field theory (CFT), and the AdS/CFT correspondence. He has collaborated with physicists and computer scientists on machine learning topics, including scaling laws for neural models and GPT-3 language models.

Research interests include resolving black hole evaporation paradoxes, exploring the 'space' of unitary CFTs, understanding dark matter and cosmological inflation mechanisms, and bridging condensed matter physics with high-energy quantum field theories. His work heavily utilizes the conformal bootstrap approach and Virasoro symmetry in 2D CFTs to study quantum gravity in 2+1D AdS.

Notable awards include a Sloan Foundation Fellowship and an NSF CAREER grant. He has contributed to the Simons Collaboration on the Nonperturbative Bootstrap.

His teaching portfolio includes graduate courses on Quantum Mechanics, Quantum Gravity/AdS/CFT, and Contemporary Machine Learning for Physicists, as well as undergraduate Thermodynamics and Statistical Physics courses.