Summary
Van Hoan is a lecturer and computational biologist with a PhD in Bioinformatics from LMU Munich and a strong mathematical foundation from Freie Universität Berlin and Vietnam National University. Over a decade he has built algorithms and user-friendly tools for large-scale single-cell RNA-seq and multimodal omics, specializing in clustering, trajectory alignment, and geometric sampling. His background spans both theoretical optimization—developed during research at the Zuse Institute Berlin—and practical software engineering interests in algorithms, backend systems, and architecture. Based in Hanoi, he combines academic research with hands-on implementation, producing methods intended for scalable analysis of big biological data. He is comfortable bridging rigorous math, machine learning, and production-ready code, and his work emphasizes making complex single-cell workflows accessible to end users.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Mathematics, summa cum laude, Master's degree, Mathematics, summa cum laude at Freie Universität Berlin
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at Ludwig-Maximilians-Universität München
Bachelor's degree, Mathematics, high distinction, Bachelor's degree, Mathematics, high distinction at National University of Vietnam
english,vietnamese