• MAPLE: Model-Aware Parameterization from Literature Evidence

  A pipeline for extracting QSP calibration data from scientific literature and producing informative priors via joint Bayesian inference.

• Joint Modeling of Tumor–Immune Spatial Interactions

  A statistically grounded approach to modeling tumor–immune spatial interactions using joint species distribution models on imaging mass cytometry data.

• qsp-hpc-tools: HPC orchestration and caching for QSP simulation

  Run QSP simulation campaigns on SLURM clusters without writing SLURM scripts. Drop-in MATLAB and C++ backends, three-tier caching, posterior-predictive sims.

• qsp-inference: Two-stage Bayesian calibration for QSP models

  Turn scattered literature into a joint posterior for QSP parameters, then use it as the prior for full-model calibration.

• SHADE: A Multilevel Bayesian Framework for Modeling Directional Spatial Interactions in Tissue Microenvironments

  A multilevel Bayesian framework for quantifying direction-specific cell-cell associations in hierarchically-structured spatial tissue data.