Sarah Wesolowski

I am an assistant professor of mathematics at Salisbury University.

My research interests are uncertainty quantification, model-based machine learning, novel applications of Bayesian statistics, and theoretical nuclear physics.

Curriculum Vitae

Fast & rigorous constraints on chiral three-nucleon forces from few-body observables, arXiv:2104.04441, submitted to Phys. Rev. C (2021)

Extreme ultraviolet quasar colours from GALEX observations of the SDSS DR14Q catalogue, Monthly Notices of the Royal Astronomical Society, Volume 493, Issue 2 (2020)

Exploring Bayesian parameter estimation for chiral effective field theory using nucleon-nucleon phase shifts, J. Phys. G 46 045102 (2019)

Faculty Writing Groups for Mathematicians, MAA Focus (October/November 2018).

Bayesian truncation errors in chiral effective field theory: nucleon-nucleon observables, Phys. Rev. C 96 024003 (2017) [Editor’s suggestion]

Bayesian parameter estimation for effective field theories, J. Phys. G 43 074001 (2016)

Quantifying truncation errors in effective field theory, Phys. Rev. C 92 024005 (2015)

A recipe for EFT uncertainty quantification in nuclear physics, J. Phys. G 42 034028 (2015)

A quasar catalog with simultaneous UV, optical, and x-ray observations by SWIFT Astrophys. J. Suppl. 201 2 (2012)

Model selection and data quality for core-collapse supernova waveform simulations, University of Florida International REU carried out at the University of Glasgow, Summer 2011

Full Schedule

Fall 2021

DSCI 470 - Research Methods in Data Science

MATH 202 - Calculus II

MATH 201 - Calculus I