José M. G. Vilar

Biochemistry, Genetics and Molecular Biology · Life Sciences

28h-index4.2kcitations99works0.82yr avg
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Research Topics

Gene Regulatory Network Analysis(29), stochastic dynamics and bifurcation(17), DNA and Nucleic Acid Chemistry(15), Bacterial Genetics and Biotechnology(13), RNA and protein synthesis mechanisms(13)

Publications99 total

Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization
ArXiv.org·2026Open Access
Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization
arXiv (Cornell University)·2026Open Access
Actionable Forecasting as a Determinant of Biological Adaptation
Advanced Science·2025Open Access
Chaperone-Driven Entropic Separation of Amyloid Nanofilament Bundles
Physical Review X·2025Open Access
Quasi-average predictions and regression to the trend: An application to the M6 financial forecasting competition
International Journal of Forecasting·2025· 2 cited
Quasi-average predictions and regression to the trend: an application the M6 financial forecasting competition
arXiv (Cornell University)·2024· 1 citedOpen Access
The unreasonable effectiveness of equilibrium gene regulation through the cell cycle
Cell Systems·2024· 3 cited
Actionable forecasting as a determinant of function in noisy biological systems
arXiv (Cornell University)·2024Open Access
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
Science Advances·2023· 7 citedOpen Access
Multi-landmark alignment of genomic signals reveals conserved expression patterns across transcription start sites
Scientific Reports·2023Open Access
Chaperone-driven entropic separation of amyloid nanofilament bundles
2023· 2 citedOpen Access
The unreasonable effectiveness of equilibrium gene regulation through the cell cycle
2023· 3 citedOpen Access
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
2022Open Access
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
arXiv (Cornell University)·2022Open Access
Robustness of DNA looping across multiple cell divisions in individual bacteria
Proceedings of the National Academy of Sciences·2022· 5 citedOpen Access
Data for: Robustness of DNA Looping Across Multiple Cell Divisions in Individual Bacteria
Harvard Dataverse·2022Open Access
Robustness of DNA Looping Across Multiple Divisions in Individual Bacteria
2021· 1 citedOpen Access
Reliably quantifying the evolving worldwide dynamic state of the COVID-19 outbreak from death records, clinical parametrization, and demographic data
Scientific Reports·2021· 7 citedOpen Access
Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd
Molecular Systems Biology·2021· 14 citedOpen Access
Ascertaining the initiation of epidemic resurgences: an application to the COVID-19 second surges in Europe and the Northeast United States
Royal Society Open Science·2021· 7 citedOpen Access
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Frequent Co-authors

J. M. Rubı́(20), Leonor Saiz(20), Stanislas Leibler(4), David Reguera(2), Călin C. Guet(2), José Ángel Fernández-Higuero(2), Arturo Muga(2), Baosen Guo(2), Wencai Cao(2), He Shen(2), A. Pérez-Madrid(2), Hao Yuan Kueh(1), Naama Barkai(1), Wenying Shou(1), Sri Ram(1), Ekaterina A. Korobkova(1), Thierry Emonet(1), Thomas Shimizu(1), Philippe Cluzel(1), Ronald Jansen(1)