Timothy Knab, Ph.D.

Science Advisor, Senior Scientist II

Tim joined Metrum in March 2017 after completing his Ph.D. in Chemical Engineering from the University of Pittsburgh where his dissertation was focused on modeling and controlling stress-induced hyperglycemia in critically ill patients. This work included dynamic optimization of models describing glucose-insulin dynamics and the development of model-predictive controllers and state estimators for clinical applications. Tim’s interests include the application of systems biology models to guide decision making in the drug development process and to advance treatment paradigms.

Recent publications by this scientist

Symbolic PBPK-PDE Modeling using Open-Source Julia Tools.

December 6, 2024

Presented at ACoP 2024. The poster introduces a framework for developing physiologically based pharmacokinetic (PBPK) models that incorporate partial differential equations (PDEs) to account for spatial drug distribution, using open-source Julia tools. This approach simplifies the integration of spatial components into PBPK models, demonstrated through a case study on naphthalene diffusion, and is applicable to various pharmacometric models requiring spatial considerations, such as topical, inhaled, and antitumor therapies.

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Quantitative Systems Pharmacology Modeling of Loncastuximab Tesirine Combined with Mosunetuzumab and Glofitamab Helps Guide Dosing for Patients with DLBCL.

December 6, 2024

Presented at ACoP 2024. This poster described a QSP model that predicted the efficacy of loncastuximab tesirine (an antibody-drug conjugate) and mosunetuzumab/ glofitamab (T cell engagers) combination therapy, following the protocol of ongoing LOTIS-7 clinical trial. The model predicted keeping patients on combination therapy for longer but reduced the loncastuximab tesirine per treatment cycle would yield more tumor volume reduction.

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How to Make a Salad? Rethinking Pharmacometric/QSP Model Composition using Open-Source Julia Tools.

December 6, 2024

Presented at ACoP 2024. The poster presents a framework for pharmacometric and quantitative systems pharmacology (QSP) model composition using open-source Julia tools. This framework allows for seamless integration and reuse of independent model components, facilitating the creation of complex models from simpler ones, and demonstrating applications in drug interactions, viral dynamics, and bispecific antibody modeling.

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