Lecturer, School of Energy and Power Engineering, Jiangsu University · Leader of the Carbon Materials Group
Ding Jiang is a lecturer at the School of Energy and Power Engineering, Jiangsu University. His research asks a simple question: how do we turn biomass — an abundant, messy, low-value resource — into fuels, chemicals and functional materials that are actually worth something?
His approach pairs experiments with theory. Catalytic conversion and carbon materials on one side; density functional theory (DFT) and data analysis on the other. The computation explains what the experiment sees, and the experiment keeps the computation honest.
Outside the lab, he writes a blog on this site about research craft and about working with AI assistants — what they are genuinely good at, and where they quietly go wrong.

Selected from 20+ SCI-indexed articles — each one pairs experiments with computation, so the two keep each other honest.
Full publication list on ResearchGate (Ding-Jiang-5) →
Occasional essays from the blog — written for researchers, in plain language, with the AI kept in its proper place: the toolbox.
Why this site exists, and how I learn in public — one tool, one experiment, one honest write-up at a time.
Read the post →Framework, citations, prose, and mentoring — what writing review papers the hard way taught me about all four.
Read the post →What actually goes wrong when you hand real work to an AI assistant, and the habits that keep it honest.
Read the post →How I actually reach a paper's full text — start from the paywall's own institutional button, and read the HTML, not the PDF.
Read the post →
Research collaboration, consulting on biomass conversion and computational catalysis, or just a good argument about AI in science — my inbox is open.