Feryal Ozel
Astrophysicist | Chair, School of Physics at Georgia Tech
Black Hole & Neutron Star Enthusiast | Science Communicator
Black holes, neutron stars, and the frontiers of computation & observation
I study how matter and spacetime behave under the most extreme conditions, combining general relativity, large-scale computation, and multi-wavelength observations. I also lead strategic initiatives in astrophysics and share discoveries with global audiences.
Profile Highlights
- Chair & Professor, School of Physics, Georgia Tech (2022–present)
- Founding member & science leader, Event Horizon Telescope
- PI / Co‑PI on NASA & NSF grants; mission concept leadership
- Breakthrough Prize & Bruno Rossi Prizes; APS & Guggenheim Fellow
Research Areas
Horizon‑Scale Imaging & Tests of Gravity
We reconstruct and interpret horizon‑scale images of supermassive black holes (M87*, Sgr A*) to probe strong‑field gravity and relativistic plasma dynamics. We advance mm/sub‑mm VLBI imaging methods (e.g., KRISP/PRIMO), quantify systematics, and connect image morphology/polarization to spacetime and accretion physics.
Space‑Based Interferometry & Future Missions
We evaluate targets, frequencies, and architectures for space‑based VLBI to resolve a large number of black‑hole shadows and jets. Our goal is to develop a mission concept capable of expanding precision tests of gravity and accretion physics and image binary black holes emitting gravitational waves.
Neutron Star Structure & Dense Matter
Using X-ray spectra, pulse‑profile modeling, and multi‑messenger data, we infer masses, radii, and the dense‑matter equation of state. We develop statistical frameworks to uncover correlations and biases and to synthesize constraints from X‑ray timing, spectroscopy, and gravitational‑wave observations.
Accretion & Plasma Microphysics
We develop GRMHD, PIC, and hybrid kinetic–GRMHD frameworks and electron thermodynamics models to capture particle heating and acceleration, reconnection, and wave cascades in radiatively inefficient accretion flows. These results inform multi‑scale simulations and predict observables for current and future facilities.