Ondrej Bohdal
I'm a senior machine learning researcher at Samsung
Research, where I focus on personalization of generative AI models. Before joining Samsung, I
was a postdoctoral researcher at the
University of Edinburgh, working on topics such as multimodal large language models, diffusion
models, fairness, uncertainty calibration and out-of-distribution generalization.
I did my PhD on Meta-Learning Algorithms and Applications at the
University of Edinburgh, advised by Timothy
Hospedales.
I was a research intern at Samsung AI
Center, Cambridge and Amazon Web Services, Berlin, and
also did part of my
studies at the Alan Turing Institute in London.
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London, UK
Research Overview
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Publications
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Background
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Senior Researcher
Samsung Research, London (Staines-upon-Thames), UK
May 2024 - Current
Research in personalization of generative AI models
Part of AI Research team led by Mete Ozay
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Postdoctoral Research Associate
The University of Edinburgh, Edinburgh, UK
May 2023 - May 2024
Research in multimodal large language models, diffusion models, fairness, uncertainty calibration
Supervised by Timothy Hospedales
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Research Intern (Part-Time)
Samsung AI Center, Cambridge, UK
Nov 2021 - Apr 2022
Research in source-free domain adaptation
Hosted by Da Li
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Enrichment Scheme PhD Student
Alan Turing Institute, London, UK
Jan 2022 - Mar 2022
Enrichment scheme placement at the Alan Turing Institute
Participated in an online Engage @ Turing scheme since 2020
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Applied Scientist Intern
Amazon Web Services, Berlin, Germany
Jul 2021 - Oct 2021
Research in hyperparameter optimization and neural architecture search
Hosted by Giovanni Zappella
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Teaching Fellow
Cambridge Spark, UK
Jul 2020 - Jun 2024
Content development, teaching and technical mentoring
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Teaching Support Provider
The University of Edinburgh, Edinburgh, UK
Oct 2018 - May 2023
Introductory Applied Machine Learning: Tutor, lab demonstrator and marker
Machine Learning Practical: Tutor and lab demonstrator
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Software Development Engineer Intern
Amazon, Edinburgh, UK
Apr 2018 - Aug 2018
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Technology Summer Analyst
JPMorgan Chase & Co., Glasgow, UK
Jun 2017 - Aug 2017
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Software Engineering Intern
Metaswitch, Edinburgh, UK
May 2016 - Aug 2016
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PhD & MSc(R) in Data Science
The University of Edinburgh, Edinburgh, UK
Sep 2018 - Feb 2024
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BSc (Hons) Artificial Intelligence and Mathematics
The University of Edinburgh, Edinburgh, UK
Sep 2015 - May 2018
- Final result: First-Class Honours (90%)
- Awarded Howe Prize for top performance in UG4 Artificial Intelligence and Class
Prize for top performance in BSc (Hons)
AI and Mathematics
- Honours project: Penalizing Confident Neural Networks (supervised by Prof. Steve Renals)
- Tuition fees fully funded by SAAS and also
received a scholarship from Jan Hus Educational
Foundation
- Direct entry to the second year
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International Baccalaureate Diploma Programme
Jur Hronec Grammar School, Bratislava, Slovakia
Sep 2013 - May 2015
- Final result: 44/45 (within the best 1% in the world)
- Courses: Mathematics, Computer Science, Physics, English,
Economics, Slovak Literature
- Extended essay: Prime Generating Polynomials (Mathematics)
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Misc
I often competed and won prizes in various hackathons, including Algothon (quant
finance hackathon), QuHackEd (quantum computing hackathon), Data Open (datathon
organized by Citadel - I even participated in the Championship),
Hack the Burgh and many others. An overview of some of the projects I worked on is
available on my Devpost profile, and
there are also articles about my teams here and
here.
During my high school I very successfully participated in many competitions in
Mathematics, Physics and Informatics, in particular the subject Olympiads, correspondence
seminars
and various team competitions. Most notably I represented Slovakia at the Middle European Mathematical Olympiad in
Dresden,
Germany in 2014.
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