Dylan Ponsford

Data Scientist

https://talent.gravityer.com/dylan-ponsford

PhD student @ University of Edinburgh

Member since June 28, 2026

Key Strengths

Strong foundational experience in Python for scientific computing and data manipulation, evidenced by projects like 'cirkit', 'tabpc', and 'MIVLDE'.
Demonstrated interest in advanced topics such as probabilistic circuits, tensor networks, and mechanistic interpretability via learning differential equations, indicating a research-oriented mindset suitable for complex data science problems.
Experience with Jupyter Notebooks, which is a standard tool in data science for experimentation and analysis.
Personal projects showcase initiative and self-directed learning in relevant technical areas.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a strong inclination towards research and complex problem-solving within the data science domain, aligning well with roles requiring innovation and deep technical exploration. The diversity of projects, from framework development to mechanistic interpretability, suggests a broad intellectual curiosity and a proactive approach to learning new concepts. This indicates a good cultural fit for an environment that values continuous learning and independent contribution.

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

dylanponsford.github.io

April 3, 2026 – Present

Personal website based on the al-folio template

View Project

tabpc

March 13, 2026 – Present

tabpc — GitHub repository

View Project

MIVLDE

January 10, 2025 – September 7, 2025

Repository for sub-teams working on Mechanistic Interpretability via Learning Differential Equations

View Project

mlp_cw4

February 28, 2024 – July 15, 2024

mlp_cw4 — GitHub repository

View Project

cirkit

April 13, 2023 – Present

a python framework to build, learn and reason about probabilistic circuits and tensor networks

View Project

Key Strengths

Strong foundational experience in Python for scientific computing and data manipulation, evidenced by projects like 'cirkit', 'tabpc', and 'MIVLDE'.
Demonstrated interest in advanced topics such as probabilistic circuits, tensor networks, and mechanistic interpretability via learning differential equations, indicating a research-oriented mindset suitable for complex data science problems.
Experience with Jupyter Notebooks, which is a standard tool in data science for experimentation and analysis.
Personal projects showcase initiative and self-directed learning in relevant technical areas.

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.

Dylan Ponsford

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit