Leandro Z. Agudelo

This paper identifies asymmetric-drive rectification as a mechanism converting stress into structural memory, enabling functional specialization in cells and adaptive computational systems.

The paper identifies convergent signals that encode epigenetic memory of adaptive states in NK cells under dietary restriction, showing how these signals reduce DNA damage and enhance metabolic plasticity.

The paper identifies metabolic human accelerated regions (mHARs) in adipose tissue that coordinate adaptive responses to nutrient deficit, revealing their role in maintaining metabolic homeostasis and resilience.

The paper uses single-nuclei RNA-seq and spatial transcriptomics to analyze gene expression changes in the right atrium of patients with ischemic heart disease, revealing inflammatory microvascular dysfunction and altered tissue composition.

This paper introduces a framework using operads to model cellular intelligence through non-equilibrium compartmentalization and applies it as an unsupervised learning algorithm to machine learning datasets.

The paper investigates how genome plasticity and transcriptional organization enable metabolic resilience to nutrient limitation and fasting endurance.