---

About Me

I graduated from the University of Oklahoma in the Department of Physics and Astronomy with a Ph.D. in Physics. My dissertation topic focused on the statistical modeling of Type Ia supernovae (SNe Ia), creating empirical models that describe the complex diversity of SNe Ia.

My Research

Most of my research involves the application of advanced statistical methods and machine-learning techniques to spectroscopic observations of SNe Ia. I am a collaborator of the POISE/CSP group, whose primary focus is to discover astrophysical transients at early phases. To aid my research, I also generate models using different synthetic spectra and radiative transfer software. For more information on my research, see my publications or even my resume.

My Interests

I’m very interested in both data science and software development. I have a years of experience using Python and other C-based languages. I specialize in writing software that employs vectorized Python and/or C++ to model data or to derive physical characteristics of astronomical objects. I have developed several Python tools in conjunction with my published research; check out my projects!