Summary
Christopher Tiee is an applied mathematician and research scientist-engineer with a decade of experience building high-performance scientific computing solutions that bridge advanced numerical analysis, distributed systems, and visualization. He specializes in 3D and higher-dimensional geometry and the finite element analysis of PDEs on curved domains, work that naturally led him to optimize algorithms for parallel and streaming environments. At Helm.ai he applies this blend of theory and systems practice to production research, and previously built a real-time data engineering pipeline using Kafka, Cassandra, and Bokeh to visualize PDE solutions from sensor streams. A seasoned educator and researcher with a Ph.D. in Mathematics from UC San Diego, he brings a rare combination of rigorous geometric insight and hands-on engineering, often focusing on geometrically correct quantities to make models both accurate and scalable.
10 years of coding experience
8 years of employment as a software developer
University of California, San Diego
University of California, Los Angeles
English, Spanish, Chinese