Career Profile

I am a Postdoctoral Appointee working at Argonne National Laboratory in Lemont, IL. At the lab I work on using parallel processing driven workflows to run end-to-end simulations on the supercomputing resources at the Argonne Leadership Computing Facility. Aside from these duties I maintain a focus on cosmology, with an emphasis on the subjects of dark matter halo modeling and matter power spectrum emulation. In every step I focus my efforts on connecting our underlying models of the universe to the observable world around us, for the sake of being able to make higher accuracy constraints with next generation surveys such as the Large Synoptic Survey Telescope (LSST).

These research interests have lead to a lot of programming work in which I have developed proficiency with Fortran, C, and Python. I have also used statistics environments such as Matlab and R, machine learning in Python packages such as scikit-learn, and determined model constraints using methodologies such as Markov chain Monte Carlo (MCMC) using the package emcee. I hope to continue to learn new methodologies and techniques in order to deal with the increasing robust, high-dimensional datasets that we can expect to become the future of astrophysics within the next decade.

Education and Experience

Postdoctoral Appointee

2018 - Present
Argonne National Laboratory

Work with the Leadership Computing Facility (LCF) and High Energy Physics (HEP) divisions in order to develop the computing framework to run end-to-end simulation pipelines that allow us to test the analysis tools of next generation surveys such as LSST. I continue work on improving halo modeling with a focus on the subject of assembly bias and the new field of utilizing it as an analysis tool rather than treating it as a nuisance parameter.

Ph.D. Candidate

2012 - 2018
Department of Physics, University of Pittsburgh

Studied in-depth the field of physics, with a focus on astronomy and astrophysical implications. Worked under the supervision of Dr. Andrew Zentner, working on projects ranging from studies of assembly bias in dark matter simulations to developing new systematic mitigation schemes for cosmological parameter estimation for future surveys such as the Large Scale Synoptic Telescope (LSST). Focus on computational methods and developing a proficiency in Fortran, C, and Python.

B.S. in Physics and Astronomy

2006 - 2011
Department of Astronomy, University of Arizona

Studied the field of astronomy and physics, with a minor focusing on mathematics. Worked under the supervision of Dr. Daniel Eisenstein in the study of Baryonic Acoustic Oscillations and Dr. Feryal Özel in the study of neutron star mass distributions, leading to publishable results in the latter. Worked as a telescope operator at the Steward Observatory 61" Kuiper Telescope to take photometric data of objects of interest ranging from strong gravitational lenses to subdwarf B pulsators to eclipsing binaries and transit events. Worked with the Students for the Exploration and Development of Space (SEDS) to promote space exploration and interest in scientific fields.

Publications

A list of selected publications.

The Immitigable Nature of Assembly Bias: The Impact of Halo Definition on Assembly Bias - In this paper we discuss how assembly bias cannot be completely mitigated utilizing spherical overdensity (SO) halos and attempt to gain physical insight into halo formation from the resulting scale-dependent and halo-definition dependent biases.

Skills & Proficiency

Python

C

Fortran

R & Matlab