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.

Email  /  Google Scholar  /  Twitter  /  Github  /  LinkedIn  /  London, UK


Research Overview / Publications / Background

profile photo

Experience

Research

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
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
Research Intern (Part-Time)
Samsung AI Center, Cambridge, UK
Nov 2021 - Apr 2022
Research in source-free domain adaptation
Hosted by Da Li
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
Applied Scientist Intern
Amazon Web Services, Berlin, Germany
Jul 2021 - Oct 2021
Research in hyperparameter optimization and neural architecture search
Hosted by Giovanni Zappella

Teaching

Teaching Fellow
Cambridge Spark, UK
Jul 2020 - Jun 2024
Content development, teaching and technical mentoring
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

Software Engineering

Software Development Engineer Intern
Amazon, Edinburgh, UK
Apr 2018 - Aug 2018
Technology Summer Analyst
JPMorgan Chase & Co., Glasgow, UK
Jun 2017 - Aug 2017
Software Engineering Intern
Metaswitch, Edinburgh, UK
May 2016 - Aug 2016

Education

PhD & MSc(R) in Data Science
The University of Edinburgh, Edinburgh, UK
Sep 2018 - Feb 2024
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
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)

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.


Design and source code from Jon Barron's website