Greg Hamerly
Professor at Kattis
Waco, Texas, United States
Summary
👤
Senior🎓
Top SchoolGreg Hamerly is a Professor of Computer Science at Baylor University with over 20 years of academic and engineering experience focused on learning algorithms, theory, and data structures. He progressed from assistant to full professor while teaching machine learning and coaching competitive programming teams (ICPC), and simultaneously contributes as a developer to Kattis, bridging pedagogy and practical contest platforms. His research and consulting have produced applied methods for text extraction from semi-structured documents, reflecting a knack for turning theoretical insights into real-world tools. Trained with a Ph.D. from UC San Diego and a BS from Cal Poly SLO, he blends rigorous research with hands-on software engineering dating back to internships at Netscape and early industry roles.
12 years of coding experience
22 years of employment as a software developer
University of California, San DiegoCalifornia Polytechnic State University, San Luis Obispo
French, Dutch, Swedish
Github Skills (53)
k-means-clustering10
python-interface10
java10
bounds10
geometric10
unsupervised-learning10
specification10
clustering10
text-editor9
dm9
python9
cli9
cisco9
command-line-tool9
macos8
Programming languages (10)
Github contributions (5)
ghamerly/fast-kmeans
Oct 2014 - May 2019
Code to speed up k-means clustering. Originally at BaylorCS/baylorml.
Contributions:18 commits, 12 PRs, 10 pushes in 4 years 7 months
k-means-clusteringspeedk-meansclusteringmeans
ghamerly/nondeterminism
Nov 2019 - Jan 2025
Python library for writing nondeterministic algorithms
Contributions:2 pushes, 2 branches in 5 years 2 months
python-librarynondeterministic-algorithmspython
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