Ryan Hammonds
Data Science PhD Student
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolRyan Hammonds is a Data Science PhD student and software engineer in San Diego with eight years of experience at the intersection of machine learning, neuroscience, and scientific software. He has developed and maintained electrophysiological signal processing tools at UC San Diego and contributed to widely used neurophysiology packages such as neurodsp, bycycle, and fooof. His background includes MRI analysis, reproducible high-performance workflows (HPC/SLURM, Docker, Singularity), and applied ML on structural and diffusion MRI from prior research roles in Texas. Comfortable in Python, Bash, and R, he blends rigorous academic training in neuroscience and psychology with practical engineering to deliver reproducible, production-quality research software. A less obvious strength is his sustained focus on tool-building that makes complex neuroimaging analyses accessible and scalable for other researchers.
8 years of coding experience
4 years of employment as a software developer
Bachelors of Science (B.S), Neuroscience, 3.7, Bachelors of Science (B.S), Neuroscience, 3.7 at The University of Texas at Austin
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (66)
scientific-publications10
mls10
forge10
digital-signal-processing10
deep-learning10
optimization10
signal-processing10
electrophysiology10
dtw10
nilearn10
fuzzy-logic10
spectra10
conda10
periodic10
neuroscience10
Programming languages (5)
Github contributions (5)
ryanhammonds/fooof
Apr 2020 - Feb 2023
Parameterizing neural power spectra.
Contributions:28 pushes, 10 branches in 2 years 10 months
deep-learningspectramachine-learningpower
ryanhammonds/CannabisML
Feb 2020 - May 2022
SVM and DNN to Predict Cannabis Use from dMRI
Contributions:14 PRs, 28 pushes, 3 branches in 2 years 3 months
pythonsvmdmricannabismachine-learning
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