Taylor Salo - Senior Software Developer at University of Pennsylvania

Taylor Salo

Senior Software Developer at University of Pennsylvania

Peters Township, Pennsylvania, United States

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Summary

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Rockstar

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Top School

Taylor Salo is a Senior Software Developer and postdoctoral fellow at UPenn's PennLINC lab with 11 years of experience building reproducible, transparent neuroimaging tools. With a PhD in Psychology, they bridge neuroscience and software engineering, contributing backend code, statistical methods, and documentation to flagship projects like fMRIPrep, Nilearn, Nipype, and the BIDS specification. Taylor has implemented LDA-driven meta-analysis pipelines in Neurosynth and improved permutation-based inference in Nilearn, demonstrating fluency in ML, statistics, and scientific workflows. Their work often focuses on making complex fMRI preprocessing and analysis reproducible and accessible, from schema generation scripts to multi-echo workflow docs. Based in Pennsylvania, they combine academic rigor with practical engineering—frequently turning review feedback into cleaner, better-documented code. A less obvious strength is their knack for automating documentation generation, ensuring tools remain usable for both researchers and developers.

11 years of coding experience

High School Diploma, High School Diploma at The Prout School

Bachelor of Arts (B.A.), Psychology, Bachelor of Arts (B.A.), Psychology at Cornell University

Doctor of Philosophy (Ph.D.), Psychology, Doctor of Philosophy (Ph.D.), Psychology at Florida International University

Stackoverflow

Stats

148reputation

21kreached

1answer

5questions

Github Skills (38)

data-analysis10

preprocessing10

python10

image-processing10

preprocess10

scikit10

pandas10

prepros10

machine-learning10

biopython10

bids10

statistical-models10

fn10

natural-language-processing10

neuroimaging10

Programming languages (18)

C++CSSCPLpgSQLMakefileTeXVueMustache

Github contributions (5)

bids-standard/bids-specification

Jan 2019 - Sep 2022

Brain Imaging Data Structure (BIDS) Specification

Role in this project:

Back-end Developer & Documentation Specialist

Contributions:667 reviews, 262 commits, 134 PRs in 3 years 9 months

Contributions summary:Taylor primarily contributed to the BIDS schema code, with a focus on refactoring and reorganizing the code base. Their work involved merging rows within datatypes, fixing table headers, and switching from click to argparse. They also created scripts to generate entity definitions and tables for documentation purposes. This indicates a blend of back-end development for the schema and contributions to its documentation.

data-standardsbids-specificationneuroimagingbrainneuroscience

nilearn/nilearn

Jan 2018 - Aug 2022

Machine learning for NeuroImaging in Python

Role in this project:

Back-end Developer & Data Scientist

Contributions:301 reviews, 56 commits, 62 PRs in 4 years 8 months

Contributions summary:Taylor's commits primarily focus on modifications within the `nistats` directory, a core component of the `nilearn` project, indicating a focus on backend development. Their contributions include refactoring and extending key functions and the implementation of new features for the `permuted_ols` method. A strong emphasis on statistical image analysis, including the integration of methods for thresholding and cluster-level correction, also indicates data science skill application.

neuroimagingpythondecodingbrain-connectivitymachine-learning

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