Dishi Liu is a Data Scientist with 10 years of experience applying numerical modeling, uncertainty quantification, and machine learning to industrial and research problems across aerospace, academia, and life sciences. With a PhD in Computational and Applied Mathematics from TU Braunschweig and roles at DLR, TU Braunschweig, tsenso, and Bayer, he bridges rigorous mathematical foundations and production-ready ML solutions. He specializes in surrogate modeling and uncertainty-aware algorithms, turning complex simulations into efficient, deployable models. Based in the Greater Freiburg Area, he combines deep research experience with practical engineering to drive data-driven decision making in regulated, high-stakes domains. An uncommon asset is his long trajectory from civil engineering through advanced computational mathematics, giving him a rare blend of applied engineering intuition and formal numerical expertise.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Applied Mathematics, very good, Doctor of Philosophy - PhD, Computational and Applied Mathematics, very good at Technische Universität Carolo-Wilhelmina zu Braunschweig
Master's degree, Computational and Applied Mathematics, A+, with first class honer, Master's degree, Computational and Applied Mathematics, A+, with first class honer at Lincoln University (NZ)
Bachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at Huazhong University of Science and Technology
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