Unifying theories in high-dimensional biophysics: 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

doi:10.1038/s41540-026-00680-9

Unifying theories in high-dimensional biophysics: 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

Physics

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets. At the ICTS workshop ‘Unifying Theories in High-Dimensional Biophysics’, we discussed whether this high dimensionality poses a challenge or an opportunity for theoretically describing, understanding and predicting biological systems. We discussed methods, models and frameworks that can be used for this purpose. This Comment summarizes our discussions from the perspectives of individual participants.

Original language	English (US)
Article number	43
Journal	npj Systems Biology and Applications
Volume	12
Issue number	1
DOIs	https://doi.org/10.1038/s41540-026-00680-9
State	Published - Dec 2026

All Science Journal Classification (ASJC) codes

Modeling and Simulation
General Biochemistry, Genetics and Molecular Biology
Drug Discovery
Computer Science Applications
Applied Mathematics

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10.1038/s41540-026-00680-9

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Bauer, M., Goyal, A., Goyal, S., Reddy, G., Chakrabarti, S., Desai, M. M., Gilpin, W., Grilli, J., Husain, K., Jain, S., Jolly, M. K., Kawaguchi, K., Koseska, A., Lin, M., Narlikar, L., Pigolotti, S., Raju, A., Shrinivas, K., Siddharthan, R., ... Vaikuntanathan, S. (2026). Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities. npj Systems Biology and Applications, 12(1), Article 43. https://doi.org/10.1038/s41540-026-00680-9

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title = "Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities",

abstract = "Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets. At the ICTS workshop {\textquoteleft}Unifying Theories in High-Dimensional Biophysics{\textquoteright}, we discussed whether this high dimensionality poses a challenge or an opportunity for theoretically describing, understanding and predicting biological systems. We discussed methods, models and frameworks that can be used for this purpose. This Comment summarizes our discussions from the perspectives of individual participants.",

author = "Marianne Bauer and Akshit Goyal and Sidhartha Goyal and Gautam Reddy and Shaon Chakrabarti and Desai, \{Michael M.\} and William Gilpin and Jacopo Grilli and Kabir Husain and Sanjay Jain and Jolly, \{Mohit Kumar\} 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 Stephens, \{Greg J.\} and Andreas Tiffeau-Mayer and Suriyanarayanan Vaikuntanathan",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2026.",

year = "2026",

month = dec,

doi = "10.1038/s41540-026-00680-9",

language = "English (US)",

volume = "12",

journal = "npj Systems Biology and Applications",

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Bauer, M, Goyal, A, Goyal, S, Reddy, G, Chakrabarti, S, Desai, MM, Gilpin, W, Grilli, J, Husain, K, Jain, S, Jolly, MK, Kawaguchi, K, Koseska, A, Lin, M, Narlikar, L, Pigolotti, S, Raju, A, Shrinivas, K, Siddharthan, R, Stephens, GJ, Tiffeau-Mayer, A & Vaikuntanathan, S 2026, 'Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities', npj Systems Biology and Applications, vol. 12, no. 1, 43. https://doi.org/10.1038/s41540-026-00680-9

TY - JOUR

T1 - Unifying theories in high-dimensional biophysics

T2 - approaches, challenges and opportunities

AU - Bauer, Marianne

AU - Goyal, Akshit

AU - Goyal, Sidhartha

AU - Reddy, Gautam

AU - Chakrabarti, Shaon

AU - Desai, Michael M.

AU - Gilpin, William

AU - Grilli, Jacopo

AU - Husain, Kabir

AU - Jain, Sanjay

AU - Jolly, Mohit Kumar

AU - Kawaguchi, Kyogo

AU - Koseska, Aneta

AU - Lin, Milo

AU - Narlikar, Leelavati

AU - Pigolotti, Simone

AU - Raju, Archishman

AU - Shrinivas, Krishna

AU - Siddharthan, Rahul

AU - Stephens, Greg J.

AU - Tiffeau-Mayer, Andreas

AU - Vaikuntanathan, Suriyanarayanan

PY - 2026/12

Y1 - 2026/12

N2 - Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets. At the ICTS workshop ‘Unifying Theories in High-Dimensional Biophysics’, we discussed whether this high dimensionality poses a challenge or an opportunity for theoretically describing, understanding and predicting biological systems. We discussed methods, models and frameworks that can be used for this purpose. This Comment summarizes our discussions from the perspectives of individual participants.

AB - Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets. At the ICTS workshop ‘Unifying Theories in High-Dimensional Biophysics’, we discussed whether this high dimensionality poses a challenge or an opportunity for theoretically describing, understanding and predicting biological systems. We discussed methods, models and frameworks that can be used for this purpose. This Comment summarizes our discussions from the perspectives of individual participants.

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DO - 10.1038/s41540-026-00680-9

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SN - 2056-7189

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JO - npj Systems Biology and Applications

JF - npj Systems Biology and Applications

IS - 1

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ER -

Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities

Abstract

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