Aidan Reilly

Computer Scientist

Palo Alto, California, United States
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Summary

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Senior
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Top School
Aidan Reilly is a curious, multidisciplinary computer scientist and Physics PhD candidate at Stanford with nine years of experience applying algorithm design, machine learning, and high-performance computing to problems in high energy physics, cosmology, and computational biology. He has a strong foundation from Johns Hopkins where he earned dual top-tier degrees in Physics and Computer Science and contributed to GPU-portable scientific tools, genome-wide analysis pipelines, and parallelized bioinformatics software. At JHU APL and in academic projects he developed novel deep learning approaches for noisy, poorly labeled scientific data and implemented low-memory, one-pass algorithms for large-scale N-body simulations. Comfortable in C++, Python, CUDA, and threaded/GPU environments, he combines theoretical algorithmic analysis with pragmatic software engineering to move research into usable tools. Based in Palo Alto, he’s as likely to be optimizing radiation-transport code for supercomputers as designing approximation algorithms for network capacity, reflecting an unusual breadth across theory, experiment, and production-grade computation.
code9 years of coding experience
job2 years of employment as a software developer
bookJohns Hopkins University
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Stanford University
languagesEnglish, Spanish
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Github Skills (6)

genomics10
pathogen9
bioinformatics9
blast8
sequencing8
memory-efficient8

Programming languages (1)

C++

Github contributions (4)

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Contributions:27 commits, 27 pushes, 2 branches in 10 months
JulianBD/CSF3

Mar 2017 - Mar 2017

Contributions:28 pushes in 4 days
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Aidan Reilly - Computer Scientist