Nick Rumbaugh's Home Page

I am a data scientist and former astrophysicist. I got my PhD from UC Davis in 2015 and have spent 8 years researching active galactic nuclei, quasars, and cosmological problems you can solve with them. You can check me out on:

Projects

Astronomy

RSfit - Python code and presentation for classifying galaxies as red or blue.
catalog matching - Python code written for research group to match astronomical objects between different datasets.
SDSS_PCA - Side project using PCA to help model and classify SDSS spectra.

Coursera

Data Science Capstone - Next Word Prediction using an N-gram model. The final product is available here, and the Github page with all relevant code is available here.
See other projects here

Kaggle Competitions

Titanic - Introductory classification competition predicting passenger survival
Housing Prices - Introductory competition predicting housing sale prices
Toxic Comments - Classification challenge predicting toxicity of online comments based on text content

Selected Publications

For a full list, see here

* - denotes first author

*Extreme Variability Quasars from the Sloan Digital Sky Survey and the Dark Energy Survey - Rumbaugh et al. 2018
H0LiCOW - I. H0 Lenses in COSMOGRAIL's Wellspring: program overview - Suyu et al. 2017
*X-ray-emitting active galactic nuclei from z = 0.6 to 1.3 in the intermediate- and high-density environments of the ORELSE survey - Rumbaugh et al. 2017
*Radio monitoring campaigns of six strongly lensed quasars - Rumbaugh et al. 2015
Strong Lens Time Delay Challenge. II. Results of TDC1 - Liao et al. 2015
*The X-Ray-Optical Relations for Nine Clusters at z = 0.7-1.1 from the ORELSE Survey - Rumbaugh et al. 2013
*The Evolution and Environments of X-Ray Emitting Active Galactic Nuclei in High-redshift Large-scale Structures - Rumbaugh et al. 2012