I already work at an advanced level with kinetic theory, yet I want to sharpen my non-isothermal modeling skills for biomass gasification and pyrolysis. The goal is to walk through rigorous, step-by-step workflows—from selecting the appropriate kinetic scheme and choosing heating rate protocols, through parameter estimation and model validation—so that I can streamline my own research code and confidently defend the methodology in publications. Here’s how I picture the engagement: • A short series of live, screen-shared sessions (recordings provided) where you demonstrate your preferred workflow. I’m comfortable talking equations, differential mass balances, and Arrhenius-type parameter fitting right away, so please pitch the discussion accordingly. • A curated package of reference material: slides, annotated papers, and worked examples in MATLAB, Python, or COMSOL—whichever you feel best shows the concepts. I’m flexible on tools as long as the example files are runnable on my end. • A final mini-project template that I can adapt to my own feedstock data, with clear comments and guidance on where to swap in new TG/DTG curves, how to refine activation-energy distributions, and how to report confidence intervals. Acceptance criteria 1. At least three hours of focused instruction that covers model selection, parameter regression, and diagnostic plotting. 2. Delivery of executable example scripts or models plus concise written notes. 3. My ability to replicate the full workflow on a new experimental dataset without major troubleshooting. If this sounds like a good fit, let’s set up an initial call and map the session schedule.