Jasmine Foo

Explaining and predicting pseudoprogression in immunotherapythrough joint modeling of immune infiltration and ctDNA dynamics

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.

Systematic modeling of phenotypic drug response profiles inpatient-derived organoids

The paper introduces SCOPE, a method using AI and time-lapse imaging to classify drug responses in organoids into four phenotypic groups, identifying new drug effects and therapeutic uses.

Modeling CISH-KO TIL therapy: T-cell persistence and endogenous competition determine response in gastrointestinal 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.

Understanding heterogeneous responses to T cell engagers: Binding characteristics and dosing thresholds determine cytotoxic efficacy

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

Early ctDNA kinetics as a dynamic biomarker of cancer treatment response

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

Statistical inference of the rates of cell proliferation and phenotypic switching in cancer

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.

Glioblastoma recurrence and the role of MGMT promoter methylation

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