Thayer Alshaabi is a computational scientist and machine learning researcher with a decade of experience applying AI to complex physical and social systems, currently a postdoc at Berkeley’s Advanced Bioimaging Center. He develops novel image-analysis algorithms for large multi-dimensional datasets and has led interdisciplinary projects in natural language processing, sociotechnical time-series analysis, and autonomous-driving perception. With a PhD in Complex Systems & Data Science and a strong CS foundation (BS 3.98), he blends rigorous Bayesian and agent-based modeling approaches with practical embedded-systems and firmware experience. Thayer’s work bridges lab-scale instrumentation and societally relevant data science—he’s equally comfortable building traffic-sign geolocation pipelines as he is crafting privacy-aware models for social behavior. Colleagues value his ability to translate research-grade methods into reproducible workflows that scale across domains.
9 years of coding experience
5 years of employment as a software developer
Postgraduate Degree, Artificial Intelligence, Postgraduate Degree, Artificial Intelligence at University of California, Berkeley
Bachelor of Science - BS, Computer Science, GPA: 3.98, Bachelor of Science - BS, Computer Science, GPA: 3.98 at Champlain College
Doctor of Philosophy - PhD, Complex Systems & Data Science, GPA: 3.96, Doctor of Philosophy - PhD, Complex Systems & Data Science, GPA: 3.96 at University of Vermont
Contributions:112 commits, 100 pushes, 4 branches in 4 months
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