Stanley Fujimoto is a Staff Data Scientist in Provo, Utah with a decade of experience building computer vision and ML systems for historical document analysis and genomics. At Ancestry he progressed from intern to staff scientist, leading work in document layout detection, handwriting recognition, instance segmentation, clustering and fact extraction that bridge research and production. His background in bioinformatics and computational genomics—combined with a PhD-level focus in computer science—gives him a rare ability to apply ML to structured biological and archival data. He consistently fights for the user by turning messy, archival inputs into accurate, usable data products that enable family-history discovery. Beyond production ML, he has taught and mentored in university settings and contributed to multi-institution research projects like LIFE-M, demonstrating both academic rigor and product impact. Colleagues describe him as a practitioner who blends deep technical breadth with a user-centered emphasis that surfaces nonobvious improvements in data quality and downstream usability.
10 years of coding experience
11 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Brigham Young University
An efficient kmer data structure for genomic applications.
Contributions:8 releases, 409 commits, 30 PRs in 1 year 5 months
pipelinegenomicsbioinformaticskmergenomic
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