From particles to planets to black holes — discovery across all scales.
From planets to black holes to Earth’s climate — we study the universe across scales. We combine advanced sensing and computation to answer scientific questions in astrophysics, cosmology, and Earth science.
Extracting physical insight from observational and simulation data to study black holes, extreme plasma physics, and strong-gravity environments. We develop computational methods for Very Large Baseline Interferomery (VLBI) imaging of event horizons, polarization-based inference of galactic flares, and machine-learning models that learn plasma dynamics from complex simulations.
Imaging disks, planets, and stellar environments to probe how planetary systems form and evolve. We develop computational methods for reconstructing disk structure, inferring physical conditions, and improving direct imaging sensitivity through physics-informed modeling and differentiable rendering.
Reconstructing cosmic structure through gravitational lensing to study dark matter, mass distributions, and large-scale processes. Our work integrates physics-informed inference, neural reconstruction, and differentiable rendering, spanning weak lensing and emerging efforts in strong and cluster-scale regimes.
Multi-angle, multi-spectral polarimetric sensing to infer 3D structure, microphysics, and environmental processes across Earth’s atmosphere and oceans. We develop radiative-transfer–driven reconstruction methods for inverse problems, enabling improved climate understanding and environmental monitoring.
