Philipp Singer is a founding data scientist and PhD in computer science with 12 years of experience building production-ready ML and data science solutions across industry and research. A multiple-time Kaggle Grandmaster who has reached rank No. 1, he blends elite competitive modeling skills with applied expertise gained at H2O.ai and UNIQA. He has led advanced analytics work from postdoctoral research to senior principal roles and now steers Prior Labs’ technical vision. Comfortable across Python, statistics, and data mining, he translates complex research into robust, scalable models for real-world problems. Based in Vienna, he pairs academic rigor with product-minded delivery and a track record of turning benchmark-winning models into usable systems. An underappreciated strength is his recurring ability to bridge academic collaborations and industry deployment—evident from visiting researcher posts at multiple institutions.
12 years of coding experience
14 years of employment as a software developer
Ph.D. in Computer Science Doctoral School of Informatics, Ph.D. in Computer Science Doctoral School of Informatics at Technische Universität Graz
Contributions:14 commits, 14 pushes, 1 branch in 3 years 10 months
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