Carmen Molina-Parı́s

The paper develops a mathematical model of human neutrophil maturation using single-cell RNA-seq data, identifying key transition states and rates.

The paper introduces metrics to quantify CD8+ T cell responses to vaccine antigens, considering HLA genetic variation and viral evolution, using Ebola, SARS-CoV-2, and Burkholderia pseudomallei as examples.

This paper develops mathematical models to study how defective interfering particles (DIPs) reduce SARS-CoV-2 replication, showing dose-dependent inhibition in both deterministic and stochastic frameworks.

The paper investigates how receptor and kinase abundance imbalances affect cytokine signaling in T cells, finding that higher receptor levels can weaken signaling responses.

The paper investigates how differential STAT binding to receptor phospho-Tyr motifs influences cytokine responses, showing altered dynamics in autoimmune disorders like SLE.

The paper models endosome maturation using a mathematical framework and applies it to understand Dengue viral escape times from endosomes.