Rebecca Vislay-wade

Associate Director, Enterprise Data Science

Pennsylvania, United States
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Summary

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Senior
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Top School
Rebecca Vislay-Wade is an AI and data science leader with a PhD in biochemistry and 15+ years of experience building high-impact ML and NLP systems across healthcare, pharma, neuroscience, and publishing. She has a proven track record scaling teams and delivering production-grade solutions—from RAG platforms and regulatory NLP tools that saved hundreds of FTE hours to probabilistic clinical enrollment models that significantly outperformed CRO projections. Fluent in both technical execution and enterprise strategy, she has driven AI adoption at scale through governance, tooling (MCP), and multi-agent approaches. A hands-on mentor and cross-functional collaborator, Rebecca blends deep scientific training with pragmatic product delivery to accelerate clinical and regulatory workflows. Based in Pennsylvania, she also shares technical and strategic reflections on AI and science on her blog.
code9 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy (PhD) Biochemistry, Doctor of Philosophy (PhD) Biochemistry at Harvard University
bookMaster’s Degree Predictive Analytics, Master’s Degree Predictive Analytics at Northwestern University
bookBachelor of Philosophy (B.Phil.) Molecular Biology, Bachelor of Philosophy (B.Phil.) Molecular Biology at University of Pittsburgh
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Stackoverflow

Stats
36reputation
2kreached
2answers
0questions
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Github Skills (12)

decision-tree6
machine-learning6
python6
feature-selection6
classification6
data-science6
linux5
conda5
package-management4
ecosystem3
package-manager2
os-agnostic1

Programming languages (1)

Python

Github contributions (5)

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Contributions:104 commits, 84 pushes, 1 branch in 6 months
brilliantFire/deep-learning

Mar 2017 - Mar 2018

Contributions:43 pushes, 1 branch in 11 months
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Rebecca Vislay-wade - Associate Director, Enterprise Data Science