David Knezevic is a co-founder and CTO who has translated deep academic expertise in numerical analysis and reduced-order modeling into a commercial digital twin platform that delivers ~1000x speedups for large-scale engineering simulation. With a Rhodes-funded PhD from Oxford and postdoctoral work at MIT on the Reduced Basis method, he blends rigorous applied mathematics, supercomputing experience and software engineering to make high-fidelity PDE modeling practical in industry. He led Akselos’ technology from research to production, applying it across aerospace, energy and mining to simulate critical assets in the cloud. Previously a Harvard lecturer in advanced numerical methods and CFD, he also brings proven teaching and communication skills alongside research impact (16 peer-reviewed articles). Based in Boston and with 13 years of industry experience, he is a rare CTO who equally understands the theory, high-performance implementation and productization of advanced simulation technology.
13 years of coding experience
Bachelor, Engineering, Mathematics and Computer Science, Bachelor, Engineering, Mathematics and Computer Science at The University of Western Australia
Ph.D., Numerical Analysis, Ph.D., Numerical Analysis at University of Oxford
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.