Colin G. Cess

Integrating mechanism-based T cell phenotypes into a model of tumor-immune cell interactions

The paper develops an integrated Boolean-ABM framework to study how CD8+ T cell properties affect tumor composition, spatial organization, and immune checkpoint blockade efficacy.

Compound-SNE: Comparative alignment of t-SNEs for multiple single-cell omics data visualisation

Compound-SNE aligns t-SNE embeddings across multiple single-cell omics datasets while preserving local structures.

Fitting agent-based models to tumor images using representation learning

This paper introduces a method to estimate ABM parameters by quantitatively comparing tumor images and ABM simulations using neural networks.

Multiscale modeling of tumor adaption and invasion following anti-angiogenic therapy

This study uses agent-based modeling to show that anti-angiogenic therapy creates hypoxic and acidic conditions that increase tumor cell survival and invasiveness, but combining it with chemotherapy improves treatment response.

Multi-scale modeling of macrophage - T cell interactions within the tumor microenvironment and impacts of macrophage-based immunotherapies

This study develops an agent-based model to evaluate macrophage-based immunotherapies in the tumor microenvironment, finding that reeducation is the most effective strategy.

Data-Driven Analysis of a Mechanistic Model of CAR T Cell Signaling Predicts Effects of Cell-to-cell Heterogeneity

The paper uses computational modeling to analyze CAR T cell signaling and finds that receptor and MAPK cascade protein expressions are key to cellular response, while increased receptor levels can inhibit response due to negative feedback.