Danielle Romanoff
@danielleromanoff
I build enterprise clinical AI platforms, predictive models, and responsible governance programs.
What I'm looking for
At WVU Rockefeller Neuroscience Institute, I built the first enterprise AI roadmap and shipped 8+ production clinical machine-learning models across addiction, pain, and cognitive impairment cohorts. My models achieved 95.52% accuracy for anxiety, 96.74% for depression, and 98.5% for cravings prediction.
I launched a 22-dashboard clinical analytics platform used daily by addiction, pain, and athletics teams for real-time patient monitoring, intervention triggering, and treatment personalization. I also partnered with C-suite leadership to secure a West Virginia state grant to scale the platform statewide and grew the data science function from 2 to 10 scientists.
I advise executive teams on AI roadmaps, governance, predictive analytics, cloud strategy, and responsible enterprise adoption. At NurseVetted, I’m building an AI governance framework spanning HIPAA, HITECH, FDA 21 CFR Part 11, GxP, and IRB requirements.
Experience
Work history, roles, and key accomplishments
Director of Data Science
WVU Rockefeller Neuroscience Institute
Aug 2021 - Present (5 years 1 month)
Promoted from data scientist to Director within 6 months by building and delivering the institute's first enterprise AI roadmap. Designed and deployed 8+ production clinical ML models across addiction, pain, and cognitive impairment cohorts, achieving high accuracy rates.
Education
Degrees, certifications, and relevant coursework
Clarion University
Bachelor of Science, Secondary Mathematics
Grade: Cum Laude
Earned a Bachelor of Science in Secondary Mathematics with Cum Laude honors.
Stevens Institute of Technology
Master of Science, Software Engineering
Grade: Summa Cum Laude
Earned a Master of Science in Software Engineering with Summa Cum Laude honors.
Clarion University
Bachelor of Science, Psychology
Earned a Bachelor of Science in Psychology.
Bloom Institute of Technology
Certificate, Data Science & Machine Learning
Completed a full-time, 9-month certificate program in Data Science and Machine Learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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