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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 |
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Research Topics |
| I've worked on diverse topics within deep learning, including generative AI (large language models and diffusion models), parameter-efficient fine-tuning, multimodality, meta-learning, data efficiency, domain adaptation, out-of-distribution generalization, uncertainty calibration, fairness. I work with images (computer vision) and text (natural language processing). |
Selected Publications |
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Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli EMNLP, 2025 paper / project page / code / blog |
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Donald Shenaj, Ondrej Bohdal, Mete Ozay, Pietro Zanuttigh, Umberto Michieli ICCV, 2025 paper / project page / code / blog |
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Yongshuo Zong*, Ondrej Bohdal*, Timothy Hospedales * Joint first authors ICLR, 2025 paper / project page / code / data |
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Ondrej Bohdal*, Yinbing Tian*, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy Hospedales * Joint first authors CVPR, 2023 paper / project page / code / video / slides / poster |
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Ondrej Bohdal, Yongxin Yang, Timothy Hospedales NeurIPS, 2021 paper / blog / code / video / slides / poster |