Afton Geil

Postdoctoral Scholar at Berkeley Lab

Davis, California, United States
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Summary

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Senior
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Top School
Afton Geil is a postdoctoral scholar and GPU computing specialist with 14 years of experience bridging academic research and applied engineering. She earned a PhD in Electrical and Computer Engineering from UC Davis, where her work with Professor John Owens focused on parallel algorithms and adapting data structures to GPU architectures to extract significant performance gains. Currently at Berkeley Lab, she brings deep expertise in heterogeneous programming models gained from internships at Intel and sustained research as a graduate student. Her background includes hands-on systems and data-analysis roles outside academia, reflecting practical problem-solving and leadership in nontechnical settings. Collected experience across industry and research gives her a rare combination of production-minded implementation skills and rigorous experimental methodology. Based in Davis, California, she is driven to translate GPU research into real-world performance improvements and tooling.
code14 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of California, Davis
bookBS, BA, Engineering Science, Physics, BS, BA, Engineering Science, Physics at Trinity University
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Github Skills (20)

gnn10
sparse-matrix10
tsne10
graph-engine10
graph-algorithms9
essentials9
graph9
parallel-computing9
cpp9
cuda9
gpu8
hpc8
algorithms8
algorithm7
analytics6

Programming languages (2)

C++Cuda

Github contributions (5)

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beezees/ambientocclusion

Feb 2012 - Apr 2012

Contributions:24 commits in 1 month
angeil/gunrock

Jan 2021 - Nov 2021

High-Performance Graph Primitives on GPUs
Contributions:3 pushes in 10 months
cudagraph-primitivesgpu-programminggpuperformance
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Afton Geil - Postdoctoral Scholar at Berkeley Lab