Kyle Kloster is a seasoned technologist and leader in computational geometry, currently heading Computational Geometry at Carbon in Palo Alto with 11 years of experience at the intersection of applied math, data mining, ML, and scientific computing. He designs, implements, and evaluates scalable algorithms for large-scale analytics, graph theory, and matrix-based computation, with hands-on work in Python, MATLAB, and C/C++. His academic track includes a PhD in Mathematics from Purdue and postdoctoral/research roles at NC State and Purdue, where he co-authored SIAM publications on dense subgraph identification and unsupervised learning for bioinformatics. In industry, he advanced from Senior Software Engineer to Technical Lead and now leads Carbon's computational geometry initiatives, driving production-ready, scalable geometry software. He combines research rigor with practical delivery, building data pipelines, experimental evaluations, and visualization to validate models and algorithms. Based in the Bay Area, he holds a BS in Mathematics (Summa cum laude) from Fordham, pairing strong academic credentials with production-focused engineering.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Purdue University
Bachelor of Science - BS, Mathematics, Summa cum laude, Bachelor of Science - BS, Mathematics, Summa cum laude at Fordham University
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