Esteban Rangel
Assistant Computational Scientist
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolEsteban Rangel is an Assistant Computational Scientist with nine years of experience building scalable software for high-performance and supercomputing environments at Argonne National Laboratory. He combines a PhD in Computer Science with hands-on expertise in parallel algorithms, petabyte-scale data analysis, and HPC systems developed through roles from graduate research to postdoc and staff scientist. Esteban has applied his skills to cosmological N-body simulations and leadership-class computing at the Argonne Leadership Computing Facility, routinely turning complex scientific workflows into efficient, production-ready analysis pipelines. He also has a background in teaching and practical systems integration, from developing parallel data-mining algorithms to deploying enterprise web applications earlier in his career. Based in the Greater Chicago area, he blends deep research rigor with production engineering instincts, often focusing on performance-critical bottlenecks that are easy to overlook in large-scale science software.
9 years of coding experience
19 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Texas at BrownsvilleDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Northwestern University
English, Spanish
Github Skills (41)
surface8
dbscan8
cosmology7
footprint7
nearest-neighbors4
hierarchical4
geometric4
high-performance4
clustering4
kd-tree3
cpp3
python-bindings3
cuda3
parallel3
proxy3
Programming languages (2)
Github contributions (5)
steverangel/SDTFE
Jan 2018 - May 2022
High performance surface density fields using the DTFE method.
Contributions:20 commits, 2 PRs, 15 pushes in 4 years 3 months
methodfootprintperformancesurfacefields
steverangel/FlatKDTree
Oct 2016 - Jan 2018
Contributions:4 pushes, 3 branches in 1 year 3 months
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