Hau-tieng Wu is a professor and mathematician with 11 years of software and research experience, currently on faculty at NYU Courant and a distinguished research fellow at Academia Sinica. He bridges pure mathematics, differential geometry and algebraic topology with data analysis, bringing rigorous theory to practical problems like time-series feature extraction and large-scale network spectral methods. His work spans top academic institutions (Princeton, Berkeley, Stanford, Duke, Toronto) and includes hands-on contributions to open-source systems such as enhancing the cmu-db/peloton self-driving database by implementing foreign-key behavior and fixing memory and string-insert issues. Trained as both an MD and a PhD in Mathematics, he uniquely combines medical training, deep theory, and systems-level coding. Colleagues know him for tackling subtle technical bugs and for applying geometric insight to scalable data challenges. His terse online presence belies a steady stream of research and engineering impact across academia and open-source.
11 years of coding experience
11 years of employment as a software developer
Doctor of Medicine - MD Medicine, Doctor of Medicine - MD Medicine at National Yang Ming University
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at Princeton University
Contributions:38 commits, 9 PRs, 50 comments in 5 months
Contributions summary:Hau-tieng primarily focused on enhancing the database management system, specifically by addressing segfault issues related to unique pointers in tests and fixing varchar string insertion problems. They contributed to the implementation of foreign key constraints within the Postgres parser, expanding the system's functionality. Their work included the addition of cascade update actions, as well as fixing formatting issues and refactoring code.
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Hau-tieng Wu - Professor at Academia Sinica, Taiwan