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_config.yml
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# Site
repository: sproogen/resume-theme
favicon: images/favicon.ico
# Content configuration version
version: 2
# Personal info
name: Mael Jullien
title: PhD Student
email: [email protected]
# Dark Mode (true/false/never)
darkmode: never
# Social links
twitter_username: Mael_Jullien
github_username: Mael7307
linkedin_username: maeljullien373
# xing_username: jekyll
# pinterest_username: jekyll
# googleplus_username: +jekyll
orcid_username: 0000-0002-0303-2046
# Additional icon links
#additional_links:
#- title: itsgoingto.be
# icon: fas fa-globe
# url: https://www.itsgoingto.be
# - title: another link
# icon: font awesome brand icon name (eg. fab fa-twitter) (https://fontawesome.com/icons?d=gallery&m=free)
# url: Link url (eg. https://google.com)
# Google Analytics and Tag Manager
# Using more than one of these may cause issues with reporting
# gtm: "GTM-0000000"
# gtag: "UA-00000000-0"
# google_analytics: "UA-00000000-0"
# About Section
# about_title: About Me
about_profile_image: images/profile.jpg
about_content: |
I am a Ph.D. student in the Department of Computer Science at the University of Manchester, as part of the
[Neuro-Symbolic AI Group](https://www.idiap.ch/en/scientific-research/neuro-symbolic-ai). My research focuses on investigating AI models, such as Large Language Models (LLMs),
to perform Natural Language Inference in the clinical domain, including tasks like
retrieving and ranking clinical trials for patients and classifying clinical trial protocol deviations. A key aspect of my work is designing hybrid neuro-symbolic architectures that are both explainable, and
integrated with ground knowledge, such as ontologies, for improved robustness, efficiency, and controllability.
Additionally, working to uncover inference mechanisms and limitations of LLMs.
content:
- title: Education # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: top
title: University of Nottingham, 2020
sub_title: MSc in Computer Science and Artificial Intelligence, with Distinction
description: |
<em>Thesis: "Histological Image Registration using Deep Convolutional Features"</em>
During my MSc, I developed a strong foundation in Artificial Intelligence, focusing on key areas such as convolutional neural networks. My dissertation work centered on applying AI to the clinical domain, which has been pivotal in shaping my research direction.
- layout: top
title: University of Leicester, 2019
sub_title: BSc Hons in Mathematics, with First Class Honours
description: |
<em>Thesis: "Convolutional Neural Networks for Audio Classification"</em>
During my BSc, I honed my mathematical reasoning and problem-solving skills, which laid the groundwork for my transition into AI and computational research. My studies included a deep dive into algebra, calculus, and statistics, which have proven essential in my current research.
- title: Papers # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: top
title: "<a href='https://aclanthology.org/2023.emnlp-main.1041/'>NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports</a>"
caption: "In Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)."
sub_title: "Co-authors: Mael Jullien, Marco Valentino, Hannah Frost, Paul O’Regan, Donal Landers, André Freitas."
- layout: top
title: "<a href='https://arxiv.org/abs/2409.18998'>Controlled LLM-based Reasoning for Clinical Trial Retrieval</a>"
caption: "arXiv, 2024"
sub_title: "Co-authors: Mael Jullien, Alex Bogatu, Harriet Unsworth, Andre Freitas"
- layout: top
title: "<a href='https://arxiv.org/abs/2201.10262'>Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language</a>"
caption: "arXiv, 2022"
sub_title: "Co-authors: Mael Jullien, Marco Valentino, André Freitas"
- title: Competitions and Shared Tasks Organisation # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: top
title: "<a href='https://aclanthology.org/2024.semeval-1.271/'>SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials</a>"
caption: "The 18th International Workshop on Semantic Evaluation (Semeval-2024) co-located with the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico."
sub_title: "Co-authors: Mael Jullien, Marco Valentino, André Freitas"
- layout: top
title: "<a href='https://arxiv.org/abs/2305.02993'>SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data</a>"
caption: "The 17th International Workshop on Semantic Evaluation (Semeval-2023) co-located with The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, Canada."
sub_title: "Co-authors: Mael Jullien, Marco Valentino, André Freitas"
- title: Talks and Posters # Title for the section
layout: list # Type of content section (list/text)
content:
- layout: top
title: "<a href='https://aclanthology.org/2023.emnlp-main.1041/'>NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports</a>"
caption: "Poster presentation at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)."
- layout: top
title: "<a href='https://aclanthology.org/2024.semeval-1.271/'>SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials</a>"
caption: "Oral presentation at the 18th International Workshop on Semantic Evaluation (Semeval-2024) co-located with the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Mexico City, Mexico."
- layout: top
title: "<a href='https://arxiv.org/abs/2305.02993'>SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data</a>"
caption: "Oral presentation at the 17th International Workshop on Semantic Evaluation (Semeval-2023) co-located with The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, Canada."
- layout: top
title: "AI-Enabled Monitoring of Clinical Trial Protocol Deviations"
caption: "Oral presentation at the Advances in Data Science and Artificial Intelligence Conference 2024 (ADSAI 2024). Manchester, UK."
- title: Awards # Title for the section
layout: list # Type of content section (list/text)
content:
- title: "PhD Scholarship"
caption: "University of Manchester"
description: "Awarded a PhD scholarship by the University of Manchester."
- title: "Best Task Paper Award Honorable Mention"
caption: "SemEval-2023, ACL 2023"
description: "Received an Honorable Mention for the Best Task Paper at the 17th International Workshop on Semantic Evaluation (SemEval-2023), co-located with the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)."
# Footer
footer_show_references: true
# references_title: References on request (Override references text)
# Build settings
remote_theme: sproogen/resume-theme
sass:
sass_dir: _sass
style: compressed
plugins:
- jekyll-seo-tag