Ondrej Bohdal

I'm a senior machine learning researcher at Samsung Research, where I primarily focus on large language 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.

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

Research

I've worked on diverse topics within deep learning, including meta-learning, data efficiency, domain adaptation, out-of-distribution generalization, uncertainty calibration, fairness, multimodal large language models, diffusion models and hyperparameter optimization. I work with images (computer vision) and text (natural language processing).

Experience

Research

Teaching

Software Engineering

Education

• PhD thesis: Meta-Learning Algorithms and Applications (supervised by Prof. Timothy Hospedales)
• MSc(R) thesis: Multi-Domain Meta-Learning (same supervisor)
• MSc(R) result: Distinction
• Fully funded by a highly competitive scholarship from EPSRC - CDT in Data Science
• Reviewer at top ML and CV conferences, including NeurIPS, ICML, ICLR, CVPR
• Participated in several ML summer schools: MLSS'22, OxML'22, CIFAR DLRL'21, EEML'21 , OxML'20
• EdIntelligence (ML/AI society): mini-conference organizer

• 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

• 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.