Daniel Barulli

About Daniel Barulli

I work at the intersection of data science, behavioral science, and applied artificial intelligence, helping organizations design decision systems that perform reliably under uncertainty.With a PhD in cognitive neuroscience and senior industry experience across healthcare, HR technology, and digital products, my work centers on experimentation, behavioral measurement, and applied machine learning—particularly in environments where human behavior, regulation, and data complexity intersect.I have led experimentation programs, developed NLP-based predictive models, and supported AI adoption initiatives in close collaboration with product, engineering, and executive stakeholders. My strength lies in translating rigorous analysis into decisions that meaningfully affect user behavior and organizational outcomes. I also facilitate a professional community focused on applied AI and data science, bringing together practitioners to share methods, tools, and real-world lessons.In addition to my industry work, I engage selectively in advisory and consulting efforts related to applied AI, experimentation strategy, and behavioral analytics.I am most energized by work that prioritizes rigor over hype, measurement over intuition, and systems thinking over isolated analyses.

Experience

1. Senior Data Scientist

   CVS Health

   Mar 2023 — Present · Woonsocket, RI, US

   Design experiments to determine optimal levers of digital outreach (verbiage, timing, cadence, channel, etc.) to patients• Track KPIs between experimental test and control groups to set new digital outreach protocols• Analyze data from multiple Azure Data Lake sources, using tools including PySpark, Databricks, and Snowflake• Work across multiple teams to develop new experimental capabilities capable of personalized outreach channels

Education

• University of Massachusetts Lowell

  Bachelor of Arts (B.A.), English and Philosophy

  2004 — 2008

• Brandeis University

  Master of Arts (M.A.), Philosophy

  2009 — 2010

• Columbia University

  Doctor of Philosophy (Ph.D.), Psychology

Skills

• Staff Development
• Life Sciences
• Python
• Curriculum Development
• Strategy
• User Experience
• Marketing Strategy
• Higher Education
• Clinical Research
• Team Management
• Microsoft Word
• Experimental Design
• Educational Leadership
• Project Management
• Data Analysis
• Editing
• Good Clinical Practice (Gcp)
• Statistics
• E-Learning
• Writing
• Quantitative Research
• Training
• Powerpoint
• Microsoft Excel
• R
• Databases
• Microsoft Office
• Mental Health
• Data Entry
• Public Speaking
• Qualitative Research
• Teaching
• Clinical Trials
• Management Consulting
• Tutoring
• Leadership
• Grant Writing
• Research
• University Teaching
• Educational Technology