About
I work at the intersection of AI, healthcare, and global health, building trustworthy & accessible ML tools for medicine. My background spans machine learning, signal processing, and computational neuroscience, with applications from epilepsy to pediatric endocrinology.
Assistant Professor in Decision Sciences, H. Wayne Huizenga College of Business and Entrepreneurship, Nova Southeastern University · Former Postdoctoral Researcher, MIT & Fujitsu
Vision
Technology should reduce inequities, not widen them. My research focuses on:
- Generalization across populations and data distributions
- Digital health for low-resource settings (Galápagos Islands, Jamaica)
- Bias-aware, transparent tools that support clinical decision-making
Current Projects
AI for Pediatric Endocrinology
Using small open-source medical LLMs to assist providers in Type 1 Diabetes management, focusing on safety, bias, and evaluation.
Digital Health in Global Medical Trips
Designing interoperable systems to digitalize care delivery in Jamaica and the Galápagos Islands (Ecuador).
Publications
Check here for updated list Google Scholar.
Teaching
Current
- Data Management and Business Intelligence (BIA 5476) — Graduate MBA course · Applications, Data Visualization, Analytics with SQL, GoogleColab, and Tableau
- Information System Management (ISM 5150) — Graduate MBA course · Information Systems, Critical Thinking
- COMING SOON: AI for Healthcare — Graduate course · Artificial Intelligence Applications to Clinical Care and Healthcare Business
Previously Taught
- AI for Healthcare (MI 6428) — Graduate course in HI · Machine Learning Applications and Hands-on Practice on Clinical Data
- Methods of Healthcare Data Analytics (MI 6430) — Graduate course in HI · Hands-on Experience in Data Analytics
- Health Informatics Seminars (BSHI 3005) — Undergraduate course in HI · Talks and Real-World Experience in the Field of HI
- Health Informatics Practicum I (BSHI 4007) — Undergraduate course in HI · Hands-on Experience in Data Analytics with Python
- Health Informatics Practicum II (BSHI 4008) — Undergraduate course in HI · Applications of Data Analytics in the Healthcare Field