Kevin Leder

This paper develops a mathematical model of tumor-immune dynamics under ICI therapy to predict pseudoprogression and trains a classifier using tumor and ctDNA data to improve progression classification.

LeafRank infers relative cell fitness from single-cell phylogenies in chromosomally unstable tumors, revealing fitness dynamics in ovarian cancer.

This study models CISH-KO TIL therapy in gastrointestinal cancer, finding that T-cell persistence and endogenous competition are key determinants of treatment response.

The paper investigates how binding characteristics and dosing thresholds affect the efficacy of T cell engagers across different donors and constructs.

This study develops a framework to design ctDNA biomarkers for cancer treatment response by modeling ctDNA kinetics and simulating virtual patient cohorts.

This paper develops a statistical framework to estimate cell proliferation and phenotypic switching rates in cancer using cell line experiment data and applies it to a public dataset.

This study develops a mathematical model to investigate how MGMT promoter methylation changes during glioblastoma treatment and its impact on TMZ resistance.