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General Information
| Full Name | Daniela Ivanova |
| Languages | Bulgarian (Native), English (C1), German (B1) |
Experience
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2026 - now
Research Scientist
Centre for Data Science & AI, University of Glasgow, Scotland
- Collaborating on interdisciplinary machine learning research across all colleges.
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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.
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2025
Postdoctoral Research Assistant
School of Computing Science, University of Glasgow & OrthoVis, Scotland
- 3D CT scan bone fracture detection, in collaboration with the NHS.
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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.
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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.
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2016 - 2018
Printing Specialist
Staples UK, Glasgow, Scotland
- Design and printing of bespoke wide-format goods.
Education
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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.
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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.
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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"}
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2020 - 2024
- Doctoral Training Award, EPSRC (£50,000)
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2020
- Most Outstanding Undergraduate Project Award, SoCS, University of Glasgow (£250)
- Scottish Young Software Engineer of the Year, for Honours thesis, ScotlandIS (£2000)
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2019
- Most Outstanding Level 3 Honours Student, SoCS, University of Glasgow (£200)
Teaching Experience
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2025
- Text as Data / Introduction to NLP, Graduate Teaching Assistant
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2020 - 2025
- Data Fundamentals / Introduction to Data Science, Graduate Teaching Assistant
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2020 - 2024
- Deep Learning, Graduate Teaching Assistant
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2020 - 2023
- Computer Vision Methods and Applications, Graduate Teaching Assistant
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2020; 2025
- Programming, Graduate Teaching Assistant
Service & Outreach
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2023
- British Machine Vision Conference (BMVC) Doctoral Consortium, General Chair
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2021 - 2022
- Computer Vision and Autonomous Systems (CVAS) research group seminars, Organiser
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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