InSysBio Workshop: Engineering-Style QSP Modeling with Heta

Description

This workshop introduces an engineering-oriented approach to quantitative systems pharmacology (QSP) modeling using the Heta language and its associated tools. The session focuses on how structured, modular, and process-based model descriptions can improve transparency, reuse, and reproducibility compared to traditional monolithic ODE-based workflows. Participants will be introduced to the core concepts of the Heta language, including process-based model formulation, modularization, and alternative model representations, with an emphasis on how these ideas support scalable QSP workflows rather than on detailed syntax or implementation.

The workshop demonstrates how Heta models are used in practice: from model specification to translation into standard formats and execution with different simulation tools. The session includes guided demonstrations of model conversion using the Heta compiler, basic simulation workflows with HetaSimulator, and an overview of a typical Heta project structure. Short, optional hands-on segments are included for participants who wish to follow along, while others may simply observe the demonstrations. The workshop is intended as an accessible entry point for researchers interested in engineering-style QSP workflows and evaluating whether such an approach fits their existing modeling practice.

What You Will Learn

• The core principles of the Heta language for QSP modeling, including process-based model formulation and modular model structure
• How Heta models can be translated into multiple standard formats using the Heta compiler and integrated with existing modeling environments
• The basic workflow for running simulations and structured experiments using HetaSimulator
• The typical organization of a Heta project, including model, module, and scenario components
• Practical considerations for applying an engineering-style workflow to real-world QSP modeling tasks

Who Should Attend

• Students and early-career researchers who want an accessible introduction to structured, code-based QSP model development
• Practicing QSP modelers interested in improving flexibility, modularity, reproducibility, and scalability of their modeling workflows
• Scientists and developers who work with QSP models across multiple tools/formats and want a more systematic way to organize, reuse, and translate models

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