James Whiteside

Research Scientist at Neo4j

London, England, United Kingdom
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Summary

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Rockstar
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Top School
James Whiteside is a research scientist and engineer based in London who blends a PhD in Materials Engineering with three years of applied research and engineering experience across academia, defense, and industry. He has moved from hands-on electron microscopy and GPU-accelerated analysis of terabytes of diffraction data to designing graph-based data models and improving query language design at TypeDB, and now contributes research at Neo4j. His work spans from device-level radiation detector characterization to enterprise graph modeling for drug repurposing, demonstrating rare fluency in both physical sciences and database/type-theoretic systems. Known for building robust tooling—such as a TypeDB Jupyter connector—and for translating complex experimental insights into scalable software, he pairs deep quantitative methods with practical engineering delivery.
code3 years of coding experience
job6 years of employment as a software developer
bookPhD, Materials Engineering, PhD, Materials Engineering at University of Surrey
languagesSpanish, English
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Github Skills (61)

agda10
polymorphism10
relational10
graph10
strongly-typed10
inference10
graph-database10
knowledge-representation10
graphdb10
type-system10
declarative-programming10
knowledge-graph10
query-language10
reasoning10
biomedical10

Programming languages (7)

C#JavaStarlarkRustHTMLPythonKotlin

Github contributions (5)

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james-whiteside/ebsd-utils

Mar 2024 - Jan 2025

Utilities for processing EBSD data
Contributions:8 PRs, 53 pushes, 10 branches in 10 months
james-whiteside/typedb-docs

Jan 2024 - Oct 2024

TypeDB Documentation
Contributions:2 PRs, 191 pushes, 26 branches in 9 months
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James Whiteside - Research Scientist at Neo4j