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CrohnsModeling is a research-driven simulation project focused on modeling the dynamics of chronic intestinal inflammation and its downstream effects using mechanistic mathematics, stochastic processes, and numerical simulation.

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CrohnsModeling

CrohnsModeling is a computational modeling project focused on simulating chronic intestinal inflammation dynamics observed in Crohn’s disease using mechanistic mathematics, stochastic processes, and numerical simulation. The goal is to build a modular, research-grade framework that captures flare–remission cycles, spatial inflammation propagation, and (optionally) inflammation-linked tumor initiation.


🔬 Project Overview

Crohn’s disease involves complex interactions between immune activity, epithelial damage, microbial stimuli, and tissue repair. This project implements simplified but biologically informed computational models to study:

  • Spatial inflammation propagation (reaction–diffusion PDEs)
  • Stochastic flare events and immune activation
  • Tissue recovery dynamics
  • Long-horizon system behavior under varied parameter regimes
  • Optional: inflammation-driven tumor initiation as a coupled model

This repository is intended as a scientific sandbox for exploring how chronic inflammation evolves over time using mathematical and numerical tools.


🧠 Role Description: Computational Disease Modeling Research Engineer

This project involves:

  • Designing mechanistic models using PDEs, stochastic processes, and coupled nonlinear systems
  • Implementing a modular simulation engine with tunable parameters
  • Running numerical experiments (finite differences, finite volume, or spectral methods)
  • Performing sensitivity analysis and studying emergent behaviors
  • Building visualization tools for spatial/temporal inflammation patterns
  • Documenting assumptions, scientific rationale, and limitations
  • Maintaining clean, reproducible, well-structured research code

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CrohnsModeling is a research-driven simulation project focused on modeling the dynamics of chronic intestinal inflammation and its downstream effects using mechanistic mathematics, stochastic processes, and numerical simulation.

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