Charlie Roadhouse

PhD Researcher & Software Developer

Charlie Roadhouse

Manchester, UK

I'm a PhD researcher at Manchester Metropolitan University investigating how deep learning and natural language processing can improve automated fact-checking pipelines. Alongside my research, I teach programming, web development, and mobile applications to undergraduate students, and create educational resources for data science and Python courses.

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Research

My research focuses on leveraging AI to tackle misinformation and improve fact-checking at scale.

Deep Learning & NLP for Automated Fact Checking

PhD Research · Manchester Metropolitan University · 2023–Present

Investigating novel methods to leverage AI technologies — including transformer-based deep learning architectures and natural language processing — to improve the current fact-checking pipeline. Research spans claim detection, evidence retrieval, and veracity prediction.

Deep Learning NLP Fact Checking Transformers Misinformation

Publications & Writing

ACL 2025 · Findings

Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues

M. Shardlow, A. Williams, C. Roadhouse, F. Ventirozos, P. Przybyła

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Workshop on Observations of Misunderstood AI · 2025

Learn, Achieve, Predict, Propose, Forget, Suffer: Analysing and Classifying Anthropomorphisms of LLMs

M. Shardlow, A. Williams, C. Roadhouse, F. K. Ventirozos, P. Przybyła

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CLEF 2024 Working Notes · CheckThat! Lab

MMU NLP at CheckThat! 2024: Homoglyphs are Adversarial Attacks

C. Roadhouse, M. Shardlow, A. Williams

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Teaching

I'm passionate about computing education, with experience spanning peer learning, course creation, research assistance, and formal teaching across multiple undergraduate modules.

Teaching Assistant

Manchester Metropolitan University

Current

September 2023 – Present

Supporting undergraduate students across three modules with lab sessions, debugging, and coursework marking:

  • Object-Oriented Programming (Java) — hands-on lab support, code debugging, and marking coursework
  • Web Application Development (Node.js) — guiding students through full-stack web projects
  • Mobile Application Development (MOAB) — in-class lab support for mobile development

Programmer & Course Creator

MMU RISE

October 2022 – June 2023

Created educational content for two MMU RISE programmes aimed at widening participation in computing:

  • How to Be a Data Scientist — built interactive Jupyter Notebook materials using pandas, NumPy, and Matplotlib; delivered on-camera walkthroughs and in-person student support
  • Python Through Text Adventures — developed course resources, delivered in-class sessions teaching Python through game development, and judged the end-of-programme game jam

Research Assistant

Manchester Metropolitan University

February 2023 – September 2023

Contributed to academic research into software engineering education in higher education:

  • Web scraping and text analysis using Python to process survey data from peers
  • Applied machine learning algorithms to identify themes and patterns in the data
  • Co-authored the study protocol and contributed to the resulting journal paper

Peer Assisted Learner

Manchester Metropolitan University

September 2020 – June 2022

Facilitated peer learning sessions for first-year Computer Science students — running discussions, delivering coding tutorials, and providing one-to-one support to help students build confidence with programming fundamentals.

Projects

Research and personal projects spanning AI, NLP, and software development.

Automated Fact Checking Pipeline

PhD research project exploring transformer-based methods for claim verification, evidence retrieval, and veracity prediction.

Python Transformers NLP

Emotion Detection in Text

MSc thesis — a deep learning model to detect and rank multiple emotions within text sequences.

PyTorch NLP Deep Learning

Reinforcement Learning Checkers

BSc final year project — training a reinforcement learning agent to play the game of checkers from scratch.

Python Reinforcement Learning

Data Science Course Materials

Interactive Jupyter Notebook curricula for the MMU RISE "How to Be a Data Scientist" programme.

Jupyter pandas Matplotlib

More on GitHub

Education

PhD — Deep Learning and NLP for Fact Checking

Manchester Metropolitan University

Current

September 2023 – Present

Investigating new methods to leverage AI technologies — including deep learning and NLP — to improve the automated fact-checking pipeline.

MSc — Artificial Intelligence and Data Science

Manchester Metropolitan University

September 2022 – September 2023

Supervised and unsupervised machine learning, principles of AI, algorithms and data structures, expert systems (Prolog), AI ethics, mathematics.

Thesis: Creating a deep learning model to detect and rank emotions within text.

BSc (Hons) — Computer Science

Manchester Metropolitan University

September 2019 – June 2022

Object-oriented programming (Java), web development, algorithms and data structures, mobile development, source control, introduction to AI, compilers and programming principles.

Final Year Project: Using a reinforcement learning algorithm to play the game of checkers.

Skills

Languages

Python Java JavaScript Prolog

ML & AI

PyTorch Transformers scikit-learn Deep Learning NLP

Tools & Libraries

Jupyter pandas NumPy Matplotlib Node.js Git