About
I’m an associate professor in the Department of Statistics at the University of Wisconsin - Madison.
I completed my Ph.D. in Statistics from the University of North Carolina at Chapel Hill, and then joined the Department of Statistics at Carnegie Mellon University followed by the Department of Statistics and Data Science at Yale University.
Statistics that are out of this world!
We address complex statistical challenges found in the natural and physical sciences, with an emphasis on challenges in astronomy.
An exoplanet is a planet orbiting a star that is not the Sun. We develop methods to find them in noisy data.
I gratefully acknowledge my current and past funding support:
Current (external): NSF-CAREER-2337243 (PI, CAREER: Statistical Advances in Topological Data Analysis with Applications to Astronomy), NSF-CDS&E-2346683 (Co-PI, CDS&E: Accelerating the Computational Design of Nanoparticle-Protein Interactions via Molecular Simulations, Topological Data Analysis, and Machine Learning), NSF-AST-2204701 (PI, Unmasking Stellar Variability: Hierarchical Bayesian methods for characterization of low-mass planets with EPRV spectroscopy)
Current (internal): Research Forward 2024 (Co-PI) Searching for Signs of Life in Exoplanet Hycean Worlds), Research Forward 2023 (Co-PI, Accelerating the Discovery of Electrolyte Systems for Safe and Sustainable Energy Storage)
Funding for Research Forward awards is provided by the Wisconsin Alumni Research Foundation
Past: Nellie McKay Fellowship (UW-Madison), NSF-DMS-1854220/2038556 (PI, FRG: Collaborative Research: Statistical Approaches to Topological Data Analysis that Address Problems in Complex Data), NSF-AST-AAG-2009528 (Co-PI, Collaborative Research: EXPRES Search for Low Mass Planets), NASA-XRP-80NSSC18K0443 (Co-I, Extreme RV Precision: Separating Stellar Jitter from Orbital Velocities), NSF-AST-1616086 (Co-PI, The Planet Whisperer: Toward Characterizing Low-mass Planets from Doppler Surveys in the Presence of Stellar Activity)