Kevin Gullikson
Machine Learning Researcher at Trase
Austin, Texas Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolKevin Gullikson is a machine learning researcher and data scientist with a PhD in Astronomy & Astrophysics and over a decade of experience turning noisy, real-world data into robust statistical models. He combines astrophysical expertise in data reduction and signal extraction with production-grade Python engineering (numpy/scipy/pandas, C/Cython, Linux) to build reproducible, open-source tools—most notably a telluric absorption modeling package used by the astronomy community. At industry roles including Staff Data Scientist at SparkCognition and currently at Trase, he applies Bayesian inference, regression, and classification methods to complex applied problems. Kevin also publishes accessible writing on data modeling outside academia, reflecting a knack for translating technical methods into practical insights.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at The University of Texas at AustinB.S. Physics, B.S. Physics at Illinois Institute of Technology
English
Github Skills (106)
python10
render10
classifier10
automl10
javascript10
bokeh10
hyperparameter-tuning10
data-visualizations10
jupyter10
automated-machine-learning10
visualization10
meta-learning10
data-visualisation10
datashader10
holoviz10
Programming languages (5)
Github contributions (5)
kgullikson88/gullikson-scripts
Jan 2016 - Apr 2016
Contributions:2 releases, 92 commits, 33 pushes in 3 months
kgullikson88/blog
Dec 2014 - Feb 2017
Contributions:112 commits, 76 pushes, 2 branches in 2 years 2 months
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