AI × DATA × HEALTHCARE

Intelligence designed for human impact.

I’m Joey Navarro—a data scientist, doctoral researcher, developer, and pharmacy technology professional building responsible systems for the evolving healthcare ecosystem.

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Healthcare AIData SciencePharmacy Informatics

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01 / ABOUT

Healthcare innovation needs more than algorithms. It needs evidence, workflow insight, responsible implementation, and systems people can trust.

Austin, TX · USA / Mexico

MULTIDISCIPLINARY BY DESIGN

Where healthcare operations meet advanced information technology.

My background spans biochemistry, leadership, data science, pharmacy technology, radiopharmaceutical production, and doctoral research in information technology. That combination helps me translate technical possibility into practical healthcare systems.

AIAdoption research

DSApplied analytics

RxPharmacy operations

02 / CAPABILITIES

Systems thinking across the full stack.

I connect models, software, organizational behavior, and regulated healthcare workflows into one implementation perspective.

Artificial Intelligence

Responsible adoption, implementation strategy, generative AI, NLP, computer vision, and human-centered evaluation.

Data & Analytics

Predictive modeling, experimentation, feature engineering, visualization, and decision-focused data products.

Healthcare Technology

Pharmacy informatics, medication workflows, quality systems, compliance, inventory, and operational integration.

03 / SELECTED WORK

Projects that turn complex data into usable systems.

Selected work across machine learning, natural language processing, computer vision, geospatial analysis, and emerging conversational systems.

COMPUTER VISION / DEEP LEARNING

Facial Expression Classification

Deep-learning experiments for extracting visual features and classifying expressions from image data.

View repository ↗

NATURAL LANGUAGE PROCESSING

Binary Classification with NLP

Transforming unstructured language into predictive signals and interpretable features.

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GEOSPATIAL ANALYTICS

Disaster Signal Mapping

Locating disaster-related signals from social data and geographic coordinates.

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04 / DOCTORAL RESEARCH

The determinants of AI adoption in the evolving healthcare ecosystem.

Discuss the research

Performance expectancy

How healthcare leaders perceive AI’s capacity to improve clinical, operational, and strategic performance.

Effort expectancy

How usability, complexity, training, and implementation burden shape adoption intentions.

Social & organizational conditions

How leadership, culture, resources, governance, and infrastructure enable responsible implementation.

05 / EXPERIENCE

A career built at the intersection.

Each chapter adds a different layer: scientific rigor, technical practice, regulated operations, and organizational leadership.

Science

Biochemistry

Scientific reasoning, laboratory foundations, and molecular-level problem solving.

Analytics

AI & Data Science

Model development, analytical workflows, experimentation, and technical communication.

Healthcare

Pharmacy Technology

Medication workflows, production, quality, compliance, inventory, and patient-centered operations.

Research

Doctoral Information Technology

Applied research on AI adoption, information systems, and organizational implementation.

06 / CONTACT

Let’s build technology that improves how healthcare works.

Open to data science, healthcare AI, pharmacy informatics, research collaboration, consulting, and mission-driven product work.

joey@navarro.expert GitHub profile