Mariana Gómez-Schiavon

This paper introduces CoRaDyn, a framework to evaluate biological feedback control dynamics, showing it can distinguish transient performance differences that steady-state methods miss.

The paper introduces CoRa, a framework to quantify biological feedback control by comparing systems with and without feedback.

The paper shows that accurate prediction of genetic circuit behavior requires multidimensional characterization of parts, using computational models and experimental verification.

This paper designs and analyzes a biochemical PID controller using biological molecules, showing improved performance through computational and analytical methods.

This paper introduces complexity-aware simple modeling to bridge the gap between small-scale and large-scale biological models by extracting robust principles despite unknown interactions.

The paper develops BayFish, a Bayesian inference method to estimate kinetic parameters of gene expression from smFISH data, showing increased promoter transition rates in response to stimuli.

The paper uses computer simulations to show that epigenetic switching helps organisms adapt quickly in fast fluctuating environments, while genetic adaptation is favored in slower fluctuations.