Peter P. Lee

This study optimizes pembrolizumab therapy for de novo metastatic MSI-H/dMMR colorectal cancer using delay integro-differential equations, balancing efficacy, efficiency, and toxicity.

This paper develops a differential equation model and converts it to an agent-based model to simulate immune dynamics in MSI-H/dMMR colorectal cancer under pembrolizumab treatment.

The paper measures ligand discrimination errors and molecular noise in immune cells of ER+ breast cancer patients compared to healthy controls using a communication model.

The paper shows that lymphocytes and monocytes suppress IL-10R, IL-6R, and IL-2Rβγ signaling under high cytokine concentrations, mediated by cytokines that do not induce their own pSTATs.

This study uses control theory to model SARS-CoV-2 immune responses, identifying two mechanisms that explain virulence and transmission variation across hosts.

The paper develops a Bayesian network analysis pipeline to identify immune signaling changes in GEA patients before and after immunotherapy, detecting signals missed by conventional methods.