Summary
Alex Thomas is a Director of Data Science with 12 years of experience applying machine learning and big-data engineering to healthcare genomics and Fortune 500 logistics. At C.H. Robinson he leads teams that transform vast supply-chain datasets into retrospective and predictive insights using a modern, scalable stack and AI to modernize century-old logistics operations. His background includes leading bioinformatics and ML efforts at Human Longevity, where he accelerated CLIA/CAP validation and optimized next-generation sequencing pipelines with Spark and cloud architectures. Trained as a PhD in Bioinformatics and Systems Biology, he blends deep domain expertise in genomics, metabolic modeling, and scalable analytics with practical production delivery. Comfortable moving between Python, Scala, R and distributed systems, he has repeatedly turned research-grade methods into robust, business-impacting systems. Colleagues rely on him for integrating cutting-edge AI into legacy industries while preserving operational reliability.
12 years of coding experience
12 years of employment as a software developer
University of California, San Diego
Bachelor's Degree Biomedical Engineering Minor in Computer Science, Bachelor's Degree Biomedical Engineering Minor in Computer Science at University of Minnesota