Gianmarco Mengaldo is an assistant professor at the National University of Singapore who builds extremely scalable machine learning and computational mathematics tools for multidisciplinary problems, from extreme weather prediction to AI-driven equity pricing. Trained as an aerospace engineer with a PhD from Imperial College London, he blends rigorous dynamical-systems theory and reduced-order modeling with practical large-scale engineering and finance applications. He founded MathEXLab and co-founded finaXai, leading projects that span Python, Julia and C++ production stacks and cloud-scalable data platforms. His decade-long career includes roles at ECMWF, Caltech and a quantitative strategies team at KBW, reflecting rare cross-sector fluency between geophysics, academia and finance. Known for mentoring early-career researchers, he also provides strategic technical consulting to industry, often translating deep theory into deployable analytics.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Aeronautical Engineering and Applied Mathematics, Doctor of Philosophy (PhD), Aeronautical Engineering and Applied Mathematics at Imperial College London
MSc, Aeronautical Engineering, MSc, Aeronautical Engineering at Politecnico di Milano
An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py
Contributions:52 commits, 2 PRs, 15 pushes in 14 days
randomizedrandomized-svdparallelstreamingsvd
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Gianmarco Mengaldo - Assistant Professor at MathEXLab