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General Information

Full Name Daniela Ivanova
Languages Bulgarian (Native), English (C1), German (B1)

Experience

  • 2026 - now
    Research Scientist
    Centre for Data Science & AI, University of Glasgow, Scotland
    • Collaborating on interdisciplinary machine learning research across all colleges.
  • 2025 - 2026
    Postdoctoral Research Assistant
    School of Computing Science, University of Glasgow, Scotland
    • Fine-grained plankton classification, automated underwater and benthic image analysis and biodiversity monitoring.
  • 2025
    Postdoctoral Research Assistant
    School of Computing Science, University of Glasgow & OrthoVis, Scotland
    • 3D CT scan bone fracture detection, in collaboration with the NHS.
  • 2020 - 2025
    Graduate Teaching Assistant
    School of Computing Science, University of Glasgow, Scotland
    • Delivered deep learning and computer vision courses at both undergraduate and postgraduate level.
  • 2018 - 2021
    Software Engineer
    Obashi Technology, Falkirk, Scotland
    • Back- and front-end developer, designed and implemented a business asset management platform using Golang and Vue.js.
  • 2016 - 2018
    Printing Specialist
    Staples UK, Glasgow, Scotland
    • Design and printing of bespoke wide-format goods.

Education

  • 2020 - 2025
    PhD in Computing Science
    University of Glasgow, Glasgow, Scotland
    • Supervisors: Dr John Williamson, Dr Paul Henderson
    • Repurposed multimodal generative models (e.g. text-to-image diffusion models) for segmentation, in particular detection of analogue media damage.
    • Collaborated on synthetic data generation, medical image segmentation, talking head generation, 3D reconstruction and video synthesis projects.
    • Co-supervised Masters and junior PhD students.
  • 2016 - 2020
    BSc (Hons) in Computing Science, First Class
    University of Glasgow, Glasgow, Scotland
    • Honours Supervisor: Dr Paul Siebert
    • Thesis title (self-defined topic) - "A deep learning approach to artefact correction for photographic film", receiving an A1 grade (highest in several years) and multiple awards.
    • Modules: Machine Learning, Deep Learning, Computer Vision, NLP, RecSys, Linear Algebra, Calculus.
    • Redeveloped accessible educational games for Doorway Accessible Software Trust, a Scottish charity.
  • 2011 - 2016
    Secondary School Diploma
    Dobri Chintulov School of Mathematics and Natural Sciences, Sliven, Bulgaria
    • Overall grade 6.00/6.00 (highest possible), with 6 in Advanced Higher Maths, Informatics, Physics.
    • Received the American Foundation for Bulgaria Scholarship in 2013, 2014, 2015 and 2016, for excellence in academic achievement.
    • Won first place in the National Olympiad in English language in 2013, 2014 and 2016.
    • Won first place in the National Olympiad in Bulgarian language and Literature in 2016.
    • Won first place in the National Olympiad in History in 2016.

Awards, Fellowships & Grants

  • 2024
    • {"Image Restoration Hackathon Winner - Diffusions in ML"=>"Foundations, generative models and non-convex optimisation, University of Edinburgh, Alan Turing Institute"}
  • 2020 - 2024
    • Doctoral Training Award, EPSRC (£50,000)
  • 2020
    • Most Outstanding Undergraduate Project Award, SoCS, University of Glasgow (£250)
    • Scottish Young Software Engineer of the Year, for Honours thesis, ScotlandIS (£2000)
  • 2019
    • Most Outstanding Level 3 Honours Student, SoCS, University of Glasgow (£200)

Teaching Experience

  • 2025
    • Text as Data / Introduction to NLP, Graduate Teaching Assistant
  • 2020 - 2025
    • Data Fundamentals / Introduction to Data Science, Graduate Teaching Assistant
  • 2020 - 2024
    • Deep Learning, Graduate Teaching Assistant
  • 2020 - 2023
    • Computer Vision Methods and Applications, Graduate Teaching Assistant
  • 2020; 2025
    • Programming, Graduate Teaching Assistant

Service & Outreach

  • 2023
    • British Machine Vision Conference (BMVC) Doctoral Consortium, General Chair
  • 2021 - 2022
    • Computer Vision and Autonomous Systems (CVAS) research group seminars, Organiser
  • 2018 - 2020
    • Glasgow University Society for Women in Technology (GUSWITCH), Vice President

Peer Review

  • BMVC (2023, 2024, 2025), ECCV (2024, 2026), WACV (2024, 2025), CVPR (2025), ICCV (2025), AAAI (2025), NeurIPS (2026)

Skills

  • Python, scikit-learn, PyTorch, HuggingFace (Transformers, Diffusers, Accelerate, Gradio), Pandas, JAX, Fast.ai, Google Cloud Platform, AWS for ML, GoLang, C, C++

Other Interests

  • Hobbies: analogue photography, film, hill-climbing, analogue synthesisers