Fabricio Cravo

The paper develops a mathematical framework using CTMCs and quasi-stationary distributions to analyze stochastic behavior in multi-stable gene regulatory networks, providing design principles for toggle switches.

The paper identifies inflated effect sizes in functional neuroimaging studies and proposes a correction method to improve study planning and detection of brain effects.

The paper introduces IC-TFCE, an algorithm that improves the computational efficiency of threshold-free cluster enhancement for functional connectivity analysis, achieving significant speedups for large-scale analyses.

PRISME is a MATLAB toolbox for neuroimaging power benchmarking that enables large-scale empirical power analysis across diverse data types and test types.

This paper presents a distributed algorithm for microbial whole-cell sensors inspired by the Allee effect, showing it works correctly in noisy environments through mathematical analysis and simulations.

MobsPy simplifies defining chemical reaction networks using meta-species, enabling easier modeling and simulation of biochemical systems.