Summary
David Anastasiu is an Associate Professor and HPC director based in San Jose with nine years of academic experience building scalable methods for sparse and unusual data across machine learning, data mining, and high-performance computing. He combines rigorous research—PhD-trained work on fast nearest-neighbor graph construction and multivariate time-series—with practical industry experience in databases and web applications, having delivered substantial performance improvements in production systems. At Santa Clara University he leads campus-wide HPC strategy while running research projects spanning spectral library search, kidney disease characterization, traffic video analysis, and passive DNS outlier detection. Known as a "trailblazer," he pairs teaching and mentorship with hands-on system design and a knack for turning theoretically driven ideas into efficient, deployable solutions. An intriguing background twist: his early studies in theology and ancient languages reflect a long-standing curiosity about structure and meaning that now informs his approach to extracting signal from sparse data.
9 years of coding experience
15 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at Texas State University
University of Minnesota Twin Cities
BA in Bible/Theology, Theology, Ancient Languages, BA in Bible/Theology, Theology, Ancient Languages at Moody Bible Institute
English, Romanian