Daniel Kirouac, Ph.D.

Vice President of Quantitative Systems Pharmacology (QSP)

Dan brings over a decade of experience spanning academia, small biotech, big pharma, and consulting roles. Dan’s expertise includes computational modeling and translational science. His career highlights include spearheading the establishment of scientific teams, developing novel computational methods, and integrating advanced technologies into the research and development pipeline. Dan is extensively engaged in the wider scientific community. He has co-authored 27 publications and actively participated in over 30 scientific symposia worldwide, focusing on systems pharmacology, bioinformatics, and cancer therapy. Additionally, he holds an adjunct professorship at the University of British Columbia and serves on leadership committees at the University of Florida and the American Society for Clinical Pharmacology.

 

 

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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