James Whiteside
Research Scientist at Neo4j
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolJames 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.
3 years of coding experience
6 years of employment as a software developer
PhD, Materials Engineering, PhD, Materials Engineering at University of Surrey
Spanish, English
Github Skills (59)
database10
agda10
polymorphism10
relational10
graph10
strongly-typed10
inference10
graph-database10
knowledge-representation10
type-system10
declarative-programming10
knowledge-graph10
query-language10
reasoning10
biomedical10
Programming languages (7)
Github contributions (5)
typedb-osi/typedb-jupyter
May 2023 - May 2025
Jupyter connector for TypeDB
Contributions:19 reviews, 1 PR, 3 pushes in 2 years 1 month
jupyter
james-whiteside/ebsd-utils
Mar 2024 - Jul 2025
Utilities for processing EBSD data
Contributions:8 PRs, 55 pushes, 10 branches in 1 year 4 months
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