Summary
Philipp Burckhardt is a Lead Data Scientist with 13 years of experience blending applied AI, full-stack engineering, and academic research to secure software supply chains and bring scientific computing to the web. He leads data science at Socket while maintaining long-standing open-source work on stdlib-js, where he implemented high-performance numerical routines and strided interfaces for pseudorandom distributions. At Carnegie Mellon he built browser-based interactive e-learning tools (ISLE) and has held roles from postdoc to director, bridging pedagogy, analytics, and engineering. Comfortable shipping production systems in Node.js and the browser, he pairs rigorous statistical training (PhD, CMU; MSc, Oxford) with practical security and performance-focused development. An unusual blend of security-minded engineering and numerical computing expertise makes him adept at turning research-grade methods into scalable developer tools.
13 years of coding experience
4 years of employment as a software developer
Master of Science (M.Sc.), Applied Statistics, Distinction, Master of Science (M.Sc.), Applied Statistics, Distinction at University of Oxford
Bachelor of Science (B.Sc.), Economics, 1.1, Bachelor of Science (B.Sc.), Economics, 1.1 at Humboldt-Universität zu Berlin
Master of Science - MS, Public Policy & Management, Master of Science - MS, Public Policy & Management at Carnegie Mellon University
English, German, Latin, Greek, French