Elizabeth Sexton
Digital health strategist specializing in AI-driven message testing, public-health marketing analytics, and performance optimization. Designs data-backed campaigns that translate behavioral science into measurable impact across paid media, dashboards, and community engagement.
Marketing | Healthcare | AI
MS, Business Analytics • BBA, Marketing
About
I’m a digital health consultant and marketing analyst working at the intersection of public health, AI, and performance media. My work focuses on transforming complex behavioral science and public-health research into high-performing, culturally responsive campaigns across Meta, Google, TikTok, and emerging platforms.What makes my work different is the way I blend human-centered strategy with automated intelligence. I design and deploy AI-assisted message-testing pipelines using NLP models to evaluate clarity, tone, empathy, and behavioral effectiveness, before campaigns ever go live. This allows teams to predict performance, reduce creative risk, and optimize emotional resonance at scale.On the analytics side, I build end-to-end data systems in Tableau, Looker, and Power BI, so that stakeholders can move seamlessly from media performance → behavioral outcomes → policy and funding decisions.Beyond analytics, I lead cross-functional strategy across creative, UX, data engineering, and marketing teams, translating goals into scalable systems for growth, attribution, and continuous optimization.My work spans substance-use prevention, mental health, opioid response, healthcare access, and community-driven health education.
Featured Projects
X-ray Image Classification
Built a CNN model to classify chest X-rays using transfer learning.
Enhancing Clinical Decision Support
Explored how natural language processing can enhance clinical decision support.
Mental Health Classifier
Applied NLP to detect symptoms in mental health forum posts.
SaaS Product Analytics for Healthcare Engagement
Currently designing a data-driven case study to simulate SaaS product marketing in healthcare, using SQL, A/B testing, and Google Analytics to improve user retention.Skills: SQL, A/B Testing, GA4, User Segmentation, Dashboard Design
Career & Education
Initium Health
Digital Health Consultant | September 2025 - Present Specialize in AI-driven message testing, marketing analytics, and performance optimization for large-scale public health campaigns.
Health Union LLC.
Manager, Community Development | 2022–2023
Recruited and collaborated with patient leaders across diverse health conditions to support pharmaceutical marketing campaigns.Associate Manager, Community Development | 2020–2022
Led engagement and content strategy for chronic condition platforms: AlzheimersDisease.net and Sickle-Cell.com.Intern, Marketing | 2020
MS, Business Analytics | CU Boulder | 2025
• Modern AI & Machine Learning
• Unstructured & Distributed Data
• Advanced Data Analytics
• NLP in Healthcare
• Health Informatics
• Experiential Projects
BBA, Marketing |
Penn State | 2020
Skills
Technical Skills: Python • GA4 • Looker • Tableau • NLP • WordPress • Meta Ads • Google Ads
Soft Skills
• Stakeholder Engagement & Patient Recruitment
• Pharma-Grade Campaigns
• Social Media Strategy
Let's Connect
Actively exploring new roles. Please feel free to reach out if you’re hiring, know of opportunities, or have industry insights to share.
Or reach out directly via LinkedIn or email below.
📍 Based in Boulder, CO | Open to remote or hybrid roles
X-ray Image Classification
Built a convolutional neural network using transfer learning to classify chest X-rays. Applied model evaluation techniques and visualized misclassifications to support diagnostic decisions in healthcare.
Tools: Python · Hugging Face · TensorFlow · Matplotlib
Skills: Transfer Learning · Model Evaluation · Medical Imaging
Mental Health Classifier
Built an NLP-based classifier to detect early mental health symptoms from forum posts. Explored model interpretability with LIME to support responsible AI in healthcare.
Explore the full code for this classifier including preprocessing, training, and LIME visualizations.
Tools: Python · scikit-learn · NLTK · LIME
Skills: Data Cleaning · NLP · Explainability · Model Evaluation
Enhancing Clinical Decision Support
Explored how natural language processing (NLP) can improve diagnostic accuracy and treatment planning in clinical decision support systems. This paper focuses on ethical applications of machine learning in healthcare and evaluates the potential impact on patient safety and care quality.
Explore the full paper for detailed analysis, design recommendations, and NLP implementation insights.
Skills: Clinical NLP · Responsible AI · Research Writing · Literature Review
Terumo Blood and Cell Technologies
Associate Marketing Manager
Thank you for considering my application for the Associate Marketing Manager, Therapeutic Apheresis role. Below is a customized resume highlighting my most relevant experience and skills for this position.