John Burden

Data Scientist

https://www.opentalent.in/john-burden

Programme Co-Director for the Kinds of Intelligence Programme at Leverhulme Centre for the Future of Intelligence

Member since June 25, 2026

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, essential for data exploration and modeling.
Experience with R, another key language in statistical analysis and data science.
Projects indicate an interest in research-oriented data applications, aligning with advanced data science roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and research-focused, indicating a strong drive for independent exploration and problem-solving. The diversity of technologies (Python, R, C++, JavaScript, HTML, CSS, Go) suggests adaptability and a broad technical curiosity. However, the lack of team-based or industry-specific projects makes it difficult to fully assess cultural fit within a corporate data science team.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

ISpyWithMyModelsEye

October 22, 2025 – October 22, 2025

Repository for the Paper:

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CellularAutomata

July 29, 2025 – September 3, 2025

CellularAutomata — GitHub repository

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JohnBurden.github.io

March 22, 2025 – Present

JohnBurden.github.io — GitHub repository

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ConversationalComplexity

August 30, 2024 – December 19, 2024

Data and code for Conversational Complexity paper

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SafelifeExperiments

August 5, 2021 – August 5, 2021

SafelifeExperiments — GitHub repository

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SafeLifeHowSureToBeSafe

August 5, 2021 – November 1, 2022

SafeLifeHowSureToBeSafe — GitHub repository

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rl-ipd

July 27, 2021 – November 19, 2021

rl-ipd — GitHub repository

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UniformStateAbstractionFlagCollection

May 25, 2020 – May 25, 2020

Code for ALA paper

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code-race

February 12, 2015 – May 13, 2015

code-race — GitHub repository

View Project

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, essential for data exploration and modeling.
Experience with R, another key language in statistical analysis and data science.
Projects indicate an interest in research-oriented data applications, aligning with advanced data science roles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

John Burden

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit