Felipe Kitamura
Chief Medical Officer at Unifesp - Universidade Federal de São Paulo
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolFelipe Kitamura is a physician-scientist and Chief Medical Officer with eight years of experience at the intersection of neuroradiology and medical AI, currently leading Vision Language Model development for radiology report generation from Palo Alto. He combines academic leadership as Division Chief and affiliated professor at Unifesp with industry roles—including CMO at Eden and past innovation leadership at Dasa—bridging clinical practice, research, and product development. A PhD focused on deep learning applied to radiology, he serves in multiple RSNA and SIIM leadership and editorial roles and reviews for high-impact journals like Nature Medicine, reflecting influence in both science and standards for medical AI. Felipe’s background spans hands-on neuroradiology, clinical trials training, and business education from Harvard Business School Online, enabling him to translate technical models into clinically meaningful workflows. An understated strength is his long track record of building cross-institutional collaborations (Stanford AIMI, Mayo Clinic, MGH/BWH) that accelerate adoption of imaging AI in real-world settings.
8 years of coding experience
7 years of employment as a software developer
Johns Hopkins UniversityManagement Essentials, Management Essentials at Harvard Business School OnlineOnline Course, Digital Health Product Development, Online Course, Digital Health Product Development at Stanford University School of MedicineDoctor of Philosophy - PhD, Deep Learning applied to Radiology, Doctor of Philosophy - PhD, Deep Learning applied to Radiology at Unifesp - Universidade Federal de São PauloMasters Degree, Development of a Telemetry System to Study Thermodynamics in Wistar Rats, Masters Degree, Development of a Telemetry System to Study Thermodynamics in Wistar Rats at Universidade Federal de Juiz de Fora
Portuguese, English
Github Skills (17)
theano10
keras9
machine-learning8
network-visualization7
visualization7
deep-learning7
tensorflow6
data-science6
neural-network4
radiology3
datasets3
python1
kaggle1
imaging1
medical-imaging1
Programming languages (2)
Github contributions (5)
kitamura-felipe/machine-learning
Nov 2019 - Nov 2022
Repository for activities of the machine learning committee
Contributions:71 pushes in 3 years
committeeactivitiesmachine-learningdata-science
kitamura-felipe/dcmtag2table
May 2020 - Jul 2022
Contributions:11 commits, 70 pushes, 1 branch in 2 years 2 months
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