Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities
Biological Physics
2025-12-12 v1
Abstract
Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets, including datasets for cells, species, immune systems, neurons and behaviour. At the ICTS workshop 'Unifying Theories in High-Dimensional Biophysics' we discussed whether this high dimensionality poses a challenge or opportunity for describing, understanding and predicting biological systems theoretically. We discussed methods, models and frameworks that can help with addressing empirical observations based on these high-dimensional datasets. We summarize the challenges and opportunities that emerged in discussions according to individual participants below.
Keywords
Cite
@article{arxiv.2512.10111,
title = {Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities},
author = {Marianne Bauer and Akshit Goyal and Sidhartha Goyal and Gautam Reddy and Shaon Chakrabarti and Michael M Desai and William Gilpin and Jacopo Grilli and Kabir Husain and Sanjay Jain and Mohit Kumar Jolly and Kyogo Kawaguchi and Aneta Koseska and Milo Lin and Leelavati Narlikar and Simone Pigolotti and Archishman Raju and Krishna Shrinivas and Rahul Siddharthan and Greg J Stephens and Andreas Tiffeau-Mayer and Suriyanarayanan Vaikuntanathan},
journal= {arXiv preprint arXiv:2512.10111},
year = {2025}
}