Rikiya Yamashita
Machine Learning Manager at ArteraAI
Menlo Park, California, United States
Summary
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Top SchoolRikiya Yamashita is a Machine Learning Manager and former board-certified radiologist who blends over a decade of clinical practice with eight years of ML research and engineering experience to translate advanced AI into actionable medical diagnostics. As a postdoctoral fellow at Stanford Medicine and a lead scientist at ArteraAI, he has driven high-impact publications and open-source code for pathology and radiology applications—work that includes a Lancet Oncology study and well-cited deep learning tools for MSI and cancer prognosis. He specializes in domain-agnostic visual representation learning and clinically grounded model development, ensuring algorithms address real-world diagnostic needs. Based in Menlo Park, he is notable for pairing rigorous PhD-level research with product-focused leadership, accelerating the path from prototypes to deployed clinical solutions.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Medical Science, Doctor of Philosophy - PhD Medical Science at Kyoto University Graduate School of MedicineDoctor of Medicine - MD Medicine, Doctor of Medicine - MD Medicine at Kyoto University
English, Japanese
Github Skills (6)
spring-boot2
spring1
javascript1
deep-learning1
human-activity-recognition1
recurrence1
Programming languages (1)
Github contributions (5)
RubinLab/HCCSurvNet
Aug 2020 - Feb 2021
Contributions:30 commits, 4 PRs, 25 pushes in 6 months
rikiyay/biods253_house_postdoc
Feb 2021 - Mar 2021
Contributions:44 PRs, 54 pushes, 4 branches in 10 days
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