Alex Fallin
Doctoral Research Assistant at Texas State University
Austin, Texas, United States
Summary
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Top SchoolAlex Fallin is a PhD candidate and Doctoral Research Assistant at Texas State University specializing in high-performance and energy-efficient computing, with a research focus on GPGPU and HPC applications. Over eight years in computing—including three years of internship experience—he has developed GPU-accelerated solutions such as a hybrid Boruvka-Kruskal MST implementation, work on bit-flip minimization in GPU memory transactions, and DOE-funded lossy-compression projects. He teaches data structures and algorithms to large cohorts through a collaborative Engineer-in-Residence program, blending research rigor with inclusive education at an HSI. His background spans both theoretical algorithmic work (parallel RSMT and Steiner tree parallelization) and practical systems engineering, reflecting strong competence across the stack from algorithms to performance tuning. Based in Austin, he contributes to the Efficient Computing Laboratory under Dr. Martin Burtscher and brings an uncommon mix of applied HPC research and hands-on GPU systems optimization. Outside of academia, his GitHub persona and profile picture hint at a personable, down-to-earth researcher who values community and character as much as code.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Texas State UniversityAustin Community College
Github Skills (4)
testing5
pytorch3
reinforcement-learning3
jstree2
Programming languages (3)
Github contributions (5)
cerule7/Guess-Who
Jun 2018 - Aug 2022
For RL testing
Contributions:72 commits, 35 PRs, 76 pushes in 4 years 2 months
pytorchtestingreinforcement-learning
alexfallin/MST-Artifact-SC23
Jun 2023 - Oct 2024
Contributions:2 releases, 34 pushes, 1 branch in 1 year 4 months
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