Alexander Graff
Senior Principal Applied Scientist at Oracle
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Graff is a Senior Principal Applied Scientist with 11 years of experience building ML and big-data solutions for healthcare and life sciences, now leading applied science efforts at Oracle after a string of senior roles at Project Ronin. He specializes in deploying scalable machine learning systems using TensorFlow, Keras, Spark, and AWS to improve cancer care workflows and clinical decision support. Alexander blends hands-on model development with platform engineering and production best practices to ensure reliability and performance across heterogeneous clinical data. His background spans lab automation and bioinformatics at Broad Institute and Human Longevity to cloud-native big data engineering at Booz Allen, giving him a rare mix of wet-lab domain knowledge and production ML expertise. Colleagues rely on him to translate complex clinical problems into pragmatic, deployable ML products that measurably impact patient care.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science Microbiology, Bachelor of Science Microbiology at University of MaineLaunch AcademyBachelor of Science Biology, Bachelor of Science Biology at Northeastern UniversityClouderaComputer Science, Computer Science at Harvard Extension School
Spanish
Github Skills (43)
pytorch10
python10
machine-learning10
deep-learning10
data-science9
lifecycle9
mlflow9
apache-spark9
model-management9
incremental-learning9
dvc9
tensorflow9
ai9
jax9
neural-network8
Programming languages (5)
Github contributions (5)
graffam/breakable_toy
Jan 2015 - Jan 2015
Contributions:109 commits, 24 PRs, 44 pushes in 25 days
sheetsclean
graffam/car_listings
Jan 2015 - Jan 2015
Contributions:10 PRs, 13 pushes, 8 branches in 2 days
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