3 papers
q-bio.MN2026
Learning biophysical models of gene regulation with probability flow matching
Suryanarayana Maddu, Victor Chardès, Michael J. Shelley
Cellular differentiation is governed by gene regulatory networks, the high-dimensional stochastic biochemical systems that determine the transcriptional landscape and mediate cellu…
cs.LG2025
Inferring biological processes with intrinsic noise from cross-sectional data
Suryanarayana Maddu, Victor Chardès, Michael. J. Shelley
Inferring dynamical models from data continues to be a significant challenge in computational biology, especially given the stochastic nature of many biological processes. We explo…
physics.bio-ph2025
Active Liquid Crystal Theory Explains the Collective Organization of Microtubules in Human Mitotic Spindles
Colm P. Kelleher, Suryanarayana Maddu, Mustafa Basaran +3
How thousands of microtubules and molecular motors self-organize into spindles remains poorly understood. By combining static, nanometer-resolution, large-scale electron tomography…