Robert Fratila
Senior Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRobert Fratila is a Senior Data Scientist with 11 years of experience blending computer science and biology to build AI-driven healthcare solutions. A McGill-trained founder and VP of AI at Aifred Health, he led teams that placed top in the IBM Watson AI XPRIZE and developed an open-source deep learning framework for mental health treatment optimization. At Microsoft he helped found an internal security AI program, architecting frameworks that accelerate deployment of ML solutions across the company while mentoring dozens of projects. His background spans real-time brain imaging and brain-computer interfaces to production-grade ML for Office365 and security, demonstrating both research depth and product impact. Known for demystifying ML through invited talks and editorial work on AI safety and explainability, he combines technical leadership with a track record of shipping clinically-minded, highly performant models.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.), Joint Honours Computer Science and Biology, Bachelor of Science (B.Sc.), Joint Honours Computer Science and Biology at McGill University
English, Romanian, French
Github Skills (28)
mental-health10
feature-engineering10
theano10
data-cleaning9
mnist9
prototyping9
data-visualization8
data-analysis8
python8
deep-learning8
medicine8
scikit-learn8
data-visualisation8
machine-learning8
convolutional-neural-networks8
Programming languages (1)
Github contributions (5)
Aifred-Health/Vulcan-Old
Feb 2017 - Jan 2019
Deprecated: A high level deep learning framework for quickly prototyping networks with added tools in data visualisation, model interpretability and performance metrics
Contributions:1 release, 206 commits, 8 PRs in 1 year 11 months
pytorchinterpretabilityvisualisationdeep-learninghigh-level
Aifred-Health/VulcanAI
Aug 2018 - Nov 2019
A high level deep learning framework for quickly prototyping networks with added tools in data visualisation, model interpretability and performance metrics
Contributions:1 review, 348 commits, 39 PRs in 1 year 3 months
mental-healthvisualisationprototypingmodel-interpretabilitytensorflow
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