Summary
Ryan Oelkers is an Assistant Professor and data-driven astronomer with a decade of experience extracting variability signals from massive astronomical image datasets. He blends academic rigor (PhD from Texas A&M) with applied data science roles across universities and industry, having worked in the U.S. and internationally in Argentina, China, and India. His work spans research, teaching, and production analytics—applying statistical and computational methods to time-domain astronomy and large-scale image analysis. Known for moving between academic and operational settings, he has experience translating research-grade pipelines into practical tools for organizations like Qualis and Sysco. Based in Brownsville, Texas, he brings both deep domain expertise in astrophysical variability and a pragmatic track record of deploying data-driven solutions.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Texas A&M University
Master’s Degree, Master’s Degree at Northwestern University
Bachelor’s Degree, Bachelor’s Degree at Stevens Institute of Technology
English, Spanish, Chinese