Georgios Batzolis

Postdoctoral Researcher at the University of Cambridge

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I am a postdoctoral researcher at the Department of Engineering, University of Cambridge, working with Prof. Mark Girolami. I recently completed my PhD at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, under the supervision of Prof. Carola-Bibiane Schönlieb.

My current research explores the connection between Riemannian geometry and generative modeling. I focus on constructing data-driven Riemannian metrics that uncover the intrinsic structure of data. These metrics allow us to construct distance functions that better reflect semantic relationships between data points and enable optimization directly on the data manifold—paving the way for novel methods in controllable generation and inverse problem solving.

Education

University of Cambridge
(Oct 2020 - Mar 2025)
Department of Applied Mathematics
PhD in Machine Learning
University of Cambridge
(Oct 2016 - Oct 2020)
Department of Engineering
MEng in Information and Computer Engineering, First Class Honours

Research Visits

University of Oxford
(Oct 2023 - Jan 2024)
Department of Statistics
Visited Doucet-Deligiannidis (D2) group

Work Experience

University of Cambridge
Postdoctoral Researcher (Mar 2025 - present)
Google DeepMind
Research Collaboration (Feb 2024 - present)
Huawei Technologies Research & Development (UK) Ltd
AI Research Internship (July 2022 - Oct 2022)
MediaTek Research UK Ltd
AI Research Internship (June 2020 - Oct 2020)

Publications

ICML 2025
Score-based Pullback Riemannian Geometry, Willem Diepeveen*, Georgios Batzolis*, Zakhar Shumaylov, Carola-Bibiane Schönlieb ICML 2025
[PDF] [Code]
ICML 2024
FoDS
CAFLOW: conditional autoregressive flows, Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola-Bibiane Schönlieb Foundations of Data Science, AIMS, 2024
DOI: 10.3934/fods.2024028
[arXiv] [Official Code]
AAAI 2022
How to distribute data across tasks for meta-learning?, Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel Garcia, Da-shan Shiu, Alberto Bernacchia AAAI Conference on Artificial Intelligence, 2022
[PDF]

arXiv

Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models, Georgios Batzolis*, Jan Stanczuk*, Carola-Bibiane Schönlieb arXiv preprint arXiv:2304.12141, 2023
[PDF]
Non-uniform diffusion models, Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb arXiv preprint arXiv:2207.09786, 2022
[PDF]
Conditional image generation with score-based diffusion models, Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann arXiv preprint arXiv:2111.13606, 2021
[PDF]


Contact

Feel free to reach out via LinkedIn or email.