Science, AI & Healthcare

Translating complex science, AI, and healthcare research into clear, credible, and actionable communication for global audiences.

Bridging the gap between cutting-edge technical breakthroughs and the stakeholders who need to understand them — including research, technical, public sector, clinical, and community audiences.

View Case Studies See Writing Sample
About the Strategist

Professional Biography

Lauren C. Lewis is a public health scientist and regulatory expert with communications leadership experience across Amazon, AWS, and the National Institutes of Health. Her background bridges hard science and human communication — shaped by regulatory expertise, executive environments, and early training in broadcast journalism that sharpened one defining instinct: not just what to say, but how audiences hear it. The result is communication that informs, persuades, and compels.

Case Studies

Signature Work

Selected projects demonstrating strategic messaging, technical translation, and audience growth.

Case Study 01

National Cancer Data & Open Science Platform Launch

Frederick National Lab computational.cancer.gov Open Science Launch Campaign
Challenge
Platform Launch Visibility
Launch a national cancer data science and open science platform to government, academic, and industry audiences.
Approach
Multi-channel Campaign & Messaging
Owned marketing, content strategy, and open science messaging for the platform launch at Frederick National Laboratory for Cancer Research.
Result
Widespread Platform Adoption
Successful adoption across government, academic, and industry stakeholders; established messaging framework for ongoing platform communications.
"Her ability to lead the messaging strategy for computational.cancer.gov was exceptional. Lauren navigated complex stakeholder requirements across agencies to deliver a unified, impactful launch campaign."
— Principal Communications Lead, Frederick National Laboratory for Cancer Research
Launch Materials & Scientific Proof Point:
CANCER RESEARCH AACR Journals
Peer-Reviewed Publication

Improving FAIRness of Computational Cancer Research Translation

Lauren C. Lewis, et al. • Frederick National Laboratory
Abstract Snippet

"...presents a structured framework for translating high-performance computational cancer models into accessible, FAIR resources for multi-disciplinary clinical and research stakeholders..."

Volume 84, Issue 6_Suppl PDF Available
Visual representation of the peer-reviewed AACR publication validating her computational cancer research translation framework.
Case Study 02

Audience Growth Campaign

Digital Campaign Audience Segmentation Growth Marketing
Challenge
Low Engagement in Niche Field
Grow engagement with a specialized scientific and technical audience through email and digital channels.
Approach
Data-Driven Personalization
Designed targeted digital campaigns using audience segmentation and performance-informed engagement strategy.
Result
+58% Subscriber Growth
Achieved a 58% growth in the email subscriber base within 14 months, while boosting open and click-through rates.
Subscriber Growth: Before & After 16,000 10,000 0 10,000 Baseline 15,800 Month 14
+58%
Growth in Niche Technical Subscriber Base
Case Study 03

"Lightning Round" Video Series

Video Production Public Outreach Content Creation
Challenge
Inaccessible Research Abstracts
Make dense, technical research accessible and engaging for broad audiences.
Approach
The 40-Second Constraint
Created and produced an original video format challenging researchers to explain their work in 40 seconds.
Result
Elevated Digital Metrics
Improved audience engagement; demonstrated original content creation and format development, not just messaging strategy.
AWS MLU: Student Lightning Rounds Video Campaign
youtube.com/watch?v=Z_wbqxCIyUo 0:40
"Lightning Round" Format: Student researchers explain complex machine learning models under a strict 40-second limit.
Case Study 04

AWS Machine Learning University Media Campaign

AWS (Amazon) Media Relations AI/ML Upskilling Press Strategy
Challenge
Establishing Program Visibility
Build visibility for AWS global AI and machine learning education programs.
Approach
Proactive Storytelling & Press Outlets
Developed proactive AI/ML storylines and led media relations campaigns targeting technical and business press.
Result
Premium Placements Secured
Secured placements in Forbes, TechCrunch, GovTech, and Technical.ly.
"Lauren has a rare talent for bridging the gap between high-level machine learning concepts and practical, engaging communications. Her work on the Machine Learning University campaign was instrumental in establishing our program's public footprint."
— Senior Program Manager, AWS Machine Learning University
4.8M+
Est. Reach
85%
Pitch Win Rate
Campaign Performance
Tier-1 Placements 4 / 3 Target
Share of Voice (AI Edu) 65%
Campaign metrics dashboard demonstrating strategic media outreach efficiency and coverage impact.
Core Value Proposition

Writing & Translation Sample

Demonstrating the transition from complex, technical science to clear, engaging communication.

Dense / Technical Original Research Abstract
"We leverage multi-modal neural network architectures to aggregate heterogeneous datasets—integrating single-cell transcriptomics with clinical spatial multiplexed imaging. By performing high-dimensional topological analysis on these integrated sets, we identify persistent homology features corresponding to aberrant microenvironmental phenotypes, establishing a computational pipeline to isolate key markers of therapeutic resistance in refractory cohorts."
Plain Language Translation Audience-Ready Version
"We designed a new AI-driven mapping system that combines patient tissue images with deep genetic data. By using advanced mathematics to model how cancer cells interact with their surroundings, our system uncovers hidden patterns that explain why certain patients stop responding to treatment—helping clinicians identify new ways to bypass drug resistance."
Audience & Purpose: Designed for clinical decision-makers and research funders to quickly understand the utility of a complex AI diagnostic platform without getting lost in specialized terminology.
Featured Coverage

Media & Press Hits

Scannable list of media placements and press coverage secured for programs and initiatives.

AWS Campaign Coverage
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AWS Campaign Coverage
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AWS Campaign Coverage
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AWS Campaign Coverage
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Academic & Industry Footprint

Publications & Speaking

Establishing scientific credibility, open science advocacy, and thought leadership across key platforms.

AACR Journal Publication

"Improving FAIRness of Computational Cancer Research Translation"

Cancer Research, Vol. 84, No. 6 Supplement (2024).
Peer-Reviewed

Co-authored alongside principal investigators at the Frederick National Laboratory for Cancer Research, this publication demonstrates a deep, peer-reviewed understanding of open science frameworks, data governance, and FAIR (Findable, Accessible, Interoperable, Reusable) compliance pipelines. This scientific credentials footprint differentiates Lauren from generalist corporate communications, certifying her ability to interface directly with academic, clinical, and data-science leadership.

FAIR Principles Data Governance Model Translation Scientific Integrity
2025

HBCU AI Conference and Teaching Summit

Presenter — AI Education Alignment
2025

AWS MLU Teaching and Research Summit

Presenter — Global AI/ML Curriculum Outlets
2024

Computational Approaches for Cancer Workshop

Presenter — Data Science Platforms Access
2024

AACR Annual Meeting

Presenter — Cancer Open Science Research
Ongoing Academic Outreach

Guest Lecturer & Speaker

Hood College & University of Maryland — Science & Tech Communications
AWS MLU Summit 2025 Slide 1 of 3

Translating AI/ML for Higher Ed

  • Democratizing complex academic machine learning curriculum.
  • Engaging underrepresented student groups through active outreach.
  • Cross-sector alignment between government, tech, and universities.
Presenter: Lauren C. Lewis PORTFOLIO
Presentation Slide Deck
Expertise Matrix

Core Competencies

Strategic skills that bridge the gap between technical breakthroughs and corporate objectives.

Science & Research Communications

AI & Data Science Communications

Healthcare & Public Health Communications

Open Science & FAIR Data

Executive Communications

Integrated Marketing Strategy

Media Relations & Thought Leadership

Stakeholder Engagement

Endorsements

Client Recommendations

Feedback from researchers, executives, and collaborators on work delivery.

"Lauren has a rare talent for bridging the gap between high-level machine learning concepts and practical, engaging communications. Her work on the Machine Learning University campaign was instrumental in establishing our program's public footprint."
Senior Program Manager
AWS Machine Learning Education
"Her ability to lead the messaging strategy for computational.cancer.gov was exceptional. Lauren navigated complex stakeholder requirements across agencies to deliver a unified, impactful launch campaign."
Principal Communications Lead
Frederick National Laboratory for Cancer Research
"Lauren's 'complex to clear' translation skills are unparalleled. She doesn't just simplify research—she maintains its scientific accuracy and clinical relevance while making it accessible to key decision-makers."
Director of Clinical Translation
Healthcare AI Consortium

Ready to elevate your communications?

Let's talk about how to present your research, platform, or programs in a way that drives engagement and credibility.

Lauren C. Lewis
Location: Washington, DC Metro Area
Phone: 703-867-8695
Get in Touch