Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities

Marianne Bauer; Akshit Goyal; Sidhartha Goyal; Gautam Reddy; Shaon Chakrabarti; Michael M Desai; William Gilpin; Jacopo Grilli; Kabir Husain; Sanjay Jain; Mohit Kumar Jolly; Kyogo Kawaguchi; Aneta Koseska; Milo Lin; Leelavati Narlikar; Simone Pigolotti; Archishman Raju; Krishna Shrinivas; Rahul Siddharthan; Greg J Stephens; Andreas Tiffeau-Mayer; Suriyanarayanan Vaikuntanathan

arXiv · 2512.10111

Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities

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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.

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Marianne Bauer, Akshit Goyal, Sidhartha Goyal, Gautam Reddy, Shaon Chakrabarti, Michael M Desai, William Gilpin, Jacopo Grilli, Kabir Husain, Sanjay Jain, Mohit Kumar Jolly, Kyogo Kawaguchi, Aneta Koseska, Milo Lin, Leelavati Narlikar, Simone Pigolotti, Archishman Raju, Krishna Shrinivas, Rahul Siddharthan, Greg J Stephens, Andreas Tiffeau-Mayer, Suriyanarayanan Vaikuntanathan. 2025-12-10. Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities. https://arxiv.org/abs/2512.10111

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