Yuezhe Li

Yuezhe Li, Ph.D.

Research Scientist II

Yuezhe earned her Ph.D. in Biomedical Sciences from the University of Connecticut. Her thesis work aimed to understand molecular mechanisms that link diabetes with ciliopathy, a group of rare diseases. Other fields of experience include systems biology, machine learning, and mathematical modeling. More recently, she focused on developing physiologically based pharmacokinetic (PBPK) models to get a better mechanistic understanding of drugs’ pharmacokinetics.

Recent publications by this scientist

Quantitative systems pharmacology modeling of loncastuximab tesirine combined with mosunetuzumab and glofitamab helps guide dosing for patients with DLBCL

April 10, 2024

Presented at AACR Annual Meeting 2024. QSP model simulations were used to predict anti-tumor efficacy and guide dosing of the antibody-drug conjugate Loncastuximab tesirine combined with T cell-dependent bispecific antibodies, Mosunetuzumab or Glofitamab for the treatment of B-cell malignancies.

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Deep QSP Modeling: Leveraging Machine Learning for QSP Model Development and Evaluation

November 14, 2023

Presented at ACoP14. DQSP framework successfully implemented a UDE that characterized the PK of remoxipride and its effect on PRL release from lactotrophs to plasma. The model also characterized the positive feedback effect of plasma PRL on lactotroph PRL stimulation using an ANN.

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A multi-organ integrated QSP model for hematopoietic stem cell differentiation to predict the immune cell reconstitution in ex-vivo gene therapy

November 14, 2023

Presented at ACoP14. The differentiation of mammalian hematopoietic stem cells (HSCs) is complex and multiscale, providing an opportunity for mathematical modeling and simulation to aid in mechanistic understanding, and ultimately, to inform drug development efforts. Historically, HSC mathematical models were focused on the development of a subset of cells, but mathematical models encompassing the overall cellular system’s complexity are rarely available. Here, an integrated quantitative systems pharmacology (QSP) model that characterizes multi-organ HSC differentiation was developed by integrating literature models and adding novel features.

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