cv

curriculum vitae

Basics

Name Gabrielle Gaudeau
Email gjg34@cam.ac.uk
Phone (+44) 07887397228
Location William Gates Building, 15 J.J. Thomson Avenue,
Cambridge, CB3 0FD, United-Kingdom
Website http://gabigaudeau.github.io
Linkedin https://www.linkedin.com/in/gabrielle-gaudeau-a98240182/
Github https://github.com/gabigaudeau

Education

  • 2023.10 - Present

    Cambridge, UK

    PhD in Computer Science @University of Cambridge
    Specialising in Natural Language Processing.
    • Topic: Automated Analytic Essay Scoring and Feedback Generation.
    • Supervisor: Paula Buttery, Andrew Caines, and Øistein Andersen.
    • Funding: fully funded by the Cambridge ALTA Institute, supported by Cambridge University Press & Assessment.
  • 2022.10 - 2023.07

    Cambridge, UK

    MPhil in Advanced Computer Science @University of Cambridge
    Specialising in Natural Language Processing.
    • Topic: Multi-task Learning for Analytic Automated Essay Scoring.
    • Supervisor: Zheng Yuan, Øistein Andersen.
    • Grade: Distinction (~78%).
  • 2018.09 - 2022.07

    Edinburgh, UK

    BSc Hons Computer Science & Mathematics @University of Edinburgh
    • Dissertation: Elliptic Cryptography (with the School of Mathematics).
    • Supervisor: Harry Braden.
    • Grade: First Class (~82%).
  • 2005.09 - 2018.06

    London, UK

    Baccalauréat Général Français (Specialistion: Scientifique) @Lycée Français Charles de Gaulle
    • Options: with Further Mathematics, Ancient Greek and L3 Japanese.
    • Grade: Distinction (19.92/20); top student of my specialisation.

Publications

    • Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset, Diana Galvan-Sosa, Gabrielle Gaudeau, Pride Kavumba, Yunmeng Li, Hongyi Gu, Zheng Yuan, Keisuke Sakaguchi, Paula Buttery, 2025, submitted to ACL 2025 (under review), pdf, bib
    • Assessing how accurately Large Language Models encode and apply the Common European Framework of Reference for Languages, Luca Benedetto, Gabrielle Gaudeau, Andrew Caines, Paula Buttery, 2024, Computers and Education: Artificial Intelligence, pdf, bib
    • Multi-Task Learning for Multi-Dimensional Essay Scoring (Master's thesis), Gabrielle Gaudeau, 2023, Computer Laboratory, University of Cambridge, pdf, bib
    • Elliptic Curve Cryptography (Bachelor's thesis), Gabrielle Gaudeau, 2022, School of Mathematics, University of Edinburgh, pdf, bib

Industry experience

  • 2023.07 - 2023.09

    Ghent, Belgium

    NLP Research Intern @TechWolf
    Interned in the Research team of this HR Tech scale-up company which uses AI&ML to offer insights into the skills of a company's workforce. My work focused on automatically growing the company's ontology of skills, an in-house dictionary of unique skills which sits at the very core of their product, as new industries emerge.
    • Project: fine-tuned a pre-trained language model on a dataset of 1000 sentences that I labelled myself. The resulting IOB-labelling model helped discover new skill spans from free text. Once extracted, these were compared and matched to those already present in the company's ontology, using embedding cosine similarity. For any new (unmatched) skill, I automatically generated potential synonymous forms using traditional parsing methods and WordNet.
    • Research: deep literature review in the fields of Psychology, Economics and HR, to help formalise the company's definition of skill.
  • 2021.06 - 2021.09

    Oslo, Norway

    Software Engineer Intern @Microsoft
    A 12-week remote internship with the FAST CAR Team working with the Contacts & People Relationships APIs for Office 365.
    • Project: designed, implemented, and tested a C# mailbox processor to extract social-media accounts from a user's personal emails, infer the owners of the accounts, and add the data to that user's Contacts.
    • Documentation: actively expanded the team's onboarding and technical documentation; I was praised for the quality of my work.
    • Hacking: volunteered in company-wide hackathon for the charity DigiGirlz and helped prototype, implement, and pitch a Unity Game to teach basic networking principles to young girls.
    • Networking and cooperation: in a remote context, I had to quickly learn the expertise of different individuals/teams and managed to coordinate people from far and wide to get the project done in time.
  • 2020.06 - 2020.08

    Glasgow, UK

    Software Engineer Intern @J.P. Morgan & Chase
    The internship was shortened, and made remote due to COVID-19.
    • Group project: designed, implemented and demoed a Python Django web application for care-experienced young people, providing a tech solution to the challenges the Scottish charity MCR Pathways was facing due to COVID-19. Learned about and followed Agile principles.
    • Training: was assessed in weekly coding tasks that were reviewed by my manager who provided high-quality feedback and mentorship.
  • 2019.06 - 2019.08

    London, UK

    Intern @Taskize Limited
    First hired under the COO's supervision for marketing tasks, my role broadened greatly as the internship progressed.
    • Development: expanded the company's Python API and used it to generate scenarios for client demonstration purposes, and developed a simple Python app (using Tkinter) to speed-up client on-boarding.
    • Front-end design: built a mock-up website to present some ideas for a new company website, and maintained the existing website.
    • Content creation: learned to use the Camtasia video editing software, and eventually produced three full videos for the company website.
  • 2016.06 - 2016.07

    London, UK

    Intern @MeditSimple
    Two week internship in a start-up whose mission was to create the first common virtual space for doctors and patients in Europe.
    • Community management: managed the company's social media channels via Buffer, created a series of animated advertising videos using Vyond, wrote blog articles and managed SEOs for Wordpress, collaborated with the development team to test and debug website.

Teaching & outreach

  • 2025.01 - Present

    Cambridge, UK

    Cambridge Higher Aspirations Scheme 2025 Supervisor @Gonville & Caius College, University of Cambridge
    • Role: will deliver the same course as in 2024.
  • 2024.10 - 2025.01

    Cambridge, UK

    Part 1A Supervisor @University of Cambridge
    For the first-year undergraduate course "1A - Databases", which introduces the basics concepts of database systems from the perspective of application designers.
    • Role: supervised three groups of students three times during the term (for a total of 9 contact hours), marking and giving feedback on their work prior to each supervision.
  • 2024.09 - 2024.12

    Cambridge, UK

    STEM SMART 2024 Supervisor @University of Cambridge
    STEM SMART is a widening participation initiative from the University of Cambridge in association with Isaac Physics, to provide free, complementary teaching and support students who attend a UK maintained school.
    • Role: delivered weekly supervisions to 17 students, following the Computer Science A-level curriculum.
  • 2024-04-26

    Cambridge, UK

    HE+ Lecturer @University of Cambridge
    HE+ is a collaborative programme which aims to support high-ability high-school students from under-represented backgrounds.
    • Role: created and delivered a one-hour lecture introducing AI.
  • 2024.01 - 2024.02

    Cambridge, UK

    Part 1A Teaching Assistant @University of Cambridge
    For the first-year undergraduate course "1A - Scientific Computing", which introduces scientific and econometric data modelling in Python.
    • Role: worked the course's helpdesk, marked the course assignments, and ran a series of in-person vivas (interviews) of students.
  • 2024.01 - 2024.07

    Cambridge, UK

    Cambridge Higher Aspirations Scheme 2024 Supervisor @Gonville & Caius College, University of Cambridge
    CHAS provides high-achieving sixth-form students in Cambridge link counties and boroughs the opportunity to expand their knowledge and academic skills.
    • Role: created and delivered a whole 2-month "Introduction to AI" course to 15 students, which included three practical coding assignments in Jupyter notebooks, and an independent research project.
  • 2020.06 - 2021.05

    Edinburgh, UK

    InfPALS School Senior Student Leader @University of Edinburgh
    After volunteering in 2019, I was selected to co-lead the School of Informatics Peer Support & Learning Scheme (InfPALS), a peer-to-peer support scheme which facilitates weekly study sessions for 1st-year Computer Science students.
    • Role: my co-leader and I were given full reign to expand the scheme and adapt it to the social-distancing measures imposed by the COVID-19 pandemic. We trained and managed a dozen student volunteers, and marketted the scheme to students and university staff.
  • 2019.09 - 2019.12

    Edinburgh, UK

    INF1A Demonstrator @University of Edinburgh
    For the first-year undergraduate course "INF1A - Introduction to Computation", which involved Functional Programming in Haskell and Computational Logic.

Event participation

Reviewing

Volunteering

  • 2024.02 - 2024.07

    Cambridge, UK

    Women in Computer Science Programme Mentor @University of Cambridge
    This programme aims to encourage women and non-binary students in Year 12 (aged 16-17) to consider studying Computer Science at university.
    • Role: met monthly with two students and provided guidance and feedback as they worked on small individual research projects.
  • 2023.12 - 2024.07

    Cambridge, UK

    Volunteer @IVACS 2024
    The Inter-Varietal Applied Corpus Studies (IVACS) Conference.
    • Role: Helped advertise the conference through different social channels. Then on 16/17th of July: attended the conference, chairing individual sessions and helping with the organisation on the day.
  • 2023.09 - Present

    Cambridge, UK

    Building and Environment PhD Representative @University of Cambridge
    Part of the department's Building and Environment Committee.
    • Role: gathered feedback from postgraduate students to raise any issues with the learning environment in bimonthly meetings.
  • 2023.09 - 2024.08

    Cambridge, UK

    Research Group PhD Representative @University of Cambridge
    Part of the Postgraduate Students' Forum, with a representative from each of the research groups of the department.
    • Role: gathered feedback from my group's postagraduate students to help improve the wellbeing of students in termly meetings.
  • 2021.09 - 2022.05

    Edinburgh, UK

    Performance Team Coordinator @Edinburgh University Salsa Society
    Acted as coordinator between the executive committee of the society, the performance team's professional choreographers and its members.
    • Role: charged with time-tabling, and booking rooms for the performance team practices, and was an active member of the team.
  • 2020.05 - 2021.01

    Edinburgh, UK

    Administrative Secretary @Edinburgh University Salsa Society
    Part of the executive committee of the society, second to the President.
    • Role: charged with time-tabling, and booking rooms for the many professional dance classes offered by the society, keeping meeting agendas and minutes, and helping the President in all matters.
  • 2019.09 - 2020.08

    Edinburgh, UK

    InfPALS Leader @University of Edinburgh
    School of Informatics Peer Learning Support Scheme Volunteer.
    • Role: after rigorous training, I planned and facilitated weekly revision sessions and workshops for first-year students throughout the year.
  • 2018.09 - 2022.07

    Edinburgh, UK

    Class Representative @University of Edinburgh
    Elected by my cohort in my first-year, I voluntered every subsequent year.
    • Role: gathered feebdack from my cohort and reported to department staff in weekly meetings, acted as a liaison between both parties.
    • Initiatives: organised and led revision sessions to help failing students.

Awards

  • 2025.04.01
    Incubator Fund Grant @Cambridge Language Sciences, University of Cambridge
    Award of £3,000 for the project "Bridging Human and AI Judgement in Writing Assessment: An Eye-Tracking Study", proposed by myself, Hongyi Yang (Faculty of Education), and Dr Andrew Caines (Computer Science and Technology).
  • 2024.06.16
    Top Reviewer @LXAI @ NAACL
    Awarded to the best three reviewers of the workshop.
  • 2023.07.11
    Jennings Prize @Wolfson College, University of Cambridge
    Awarded for outstanding academic accomplishments, namely a First Class or a Distinction in a University Examination (£300).
  • 2021.03.28
    Best Insight (Honorable Mention) @ASA DataFest 2021, University of Edinburgh
    Participated in the ASA DataFest, a data analysis competition, in a team of four. For this competition the Rocky Mountain Poison and Drug Safety Center was interested in discovering and identifying patterns of drug use, with particular attention paid to identifying misuse. The judges were impressed with our presentation and our choice to focus on maximum possible prison sentence, as well as how we compared the data provided with other data sources to get a sense of representativeness.
  • 2020.03.01
    "Procedurally-generated game" challenge winner @Hack The Burgh 7, University of Edinburgh
    Participated in the hackathon organised by the School of Informatics, and won the "Procedurally-generated game" sponsored by Craneware. See "Malfunctioning Penguin" in Projects.

Projects

  • 2020.03.01
    "Malfunctioning Penguin" Game
    Group project completed during the 24-hour-long hackathon "Hack The Burgh 7" that was awarded best "Procedurally-generated game".
    • Procedural-generation: the game generates an ice-slide on the sea from the frequency wave of user-inputted music files. Users press on the space bar to change a penguin's gliding direction (left to right or vice versa) to avoid falling into the water.
    • Environmentally conscious: as the music progresses, the slide grows thinner, making the game more difficult, and showcasing the effects global warming on the melting ice-cap. Rubbish and sea-fauna are also depicted to show the animal suffering from water pollution.
  • 2019.03.17
    "r/roastme" Web Application
    Group project completed during the 24-hour-long hackathon "Hack The Burgh 6". This full-stack web app allows a user to upload a picture to receive a personalised offensive "roast". The project was greatly praised for its originality but deemed too controversial to award.
    • Machine learning: we first built a dataset of face encodings linked to top comments scraped from the subreddit r/roastme. The app returns a roast most relevant to user-uploads using the Python library ageitgey/face_recognition.
    • Natural-language processing: although it was not added to the final app in time for the hack, we also worked on generating short rhyming poems based on the returned roasts.

Languages

🇫🇷 French
Native speaker
🇬🇧 English
Native speaker
🇪🇸 Spanish
Advanced (B2/C1)
🇯🇵 Japanese
Intermediate (B1)

Skills

Computer science
  • Artificial Intelligence
  • Deep Learning
  • Human-Computer Interaction
  • Advanced Databases
  • Programming
  • Python (expert)
  • Java (proficient)
  • C# (proficient)
  • SQL (intermediate)
  • Haskell (basic)
  • Language processing
  • Large language models
  • Transformers
  • Syntactic parsing
  • SpaCy
  • WordNet
  • ML tools
  • Pandas
  • NumPy
  • Scikit-learn
  • PyTorch
  • Comet.ml
  • Web development
  • HTML
  • CSS
  • Flutter
  • JavaScript (React)
  • Django
  • Other technical skills
  • Git
  • Docker
  • Azure Cloud
  • Agile methodologies
  • Figma