Computational engineering is the backbone of every modern product
— yet often the most expensive and unnoticed risk.
Dr. Martin Neuenhofen — PhD from Imperial College London (QS 2025 #2) with stipends, former computational engineer at Mercedes AMG Petronas F1 and Audi Racing F1, and inventor of the fastest Krylov method.
Spot and halt "not invented here" syndromes before they waste time and budget.
Verify end-to-end viability via digital twins prior to deep R&D investment.
Guide projects with continuous insight, from concept through completion.

Avoid Latent Computational Engineering Risks
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