Research
I study how baryonic physics affects weak gravitational lensing observables in cosmological simulations. My work combines hydrodynamical simulations, non-Gaussian lensing statistics, baryon correction methods, and reduced-variance emulation to prepare for LSST, Euclid, and Roman.
NSF Graduate Research Fellow · AAS National Osterbrock Leadership Fellow · Columbia CTL Lead Teaching Fellow
Research Themes
Weak Lensing Statistics
Power spectra, peak counts, and other non-Gaussian probes of the matter distribution. Quantifying how higher-order statistics improve cosmological constraints beyond two-point functions.Baryonic Effects
Connecting hydrodynamical simulations to baryon correction models. Understanding how feedback processes — AGN, stellar winds, gas cooling — reshape the matter field and bias lensing observables.Simulation & Emulation Methods
Reduced-variance techniques (CARPool), Gaussian-process emulators, and ML-driven tools for building fast, accurate predictions from expensive simulation suites like CAMELS-TNG.Field-Level Modeling (BIND)
Developing BIND, a neural network-based field-level baryonification and intrinsic alignment model parameterized directly by IllustrisTNG subgrid and cosmological parameters — jointly correcting for feedback and IA in weak lensing analyses.Selected Work
Software
Background
Before graduate school, my path was nonlinear: I spent years traveling, working on organic farms, and managing environmental non-profit offices before returning to Cabrillo Community College and then transferring to UC Berkeley (B.A. in Physics and Astronomy, 2020). I am now a PhD candidate at Columbia University, advised by Zoltán Haiman and Shy Genel.
