Research Themes
- Pediatric endocrinology and medical LLM evaluation
- Generalization, robustness, and bias-aware AI
- Digital health infrastructure for low-resource settings
AI x Healthcare x Global Health
Vanessa D’Amario
AI × Healthcare · Medical Education · Global Health
Assistant Professor in Decision Sciences at Nova Southeastern University, affiliated with the Department of Medical Education in the Dr. Kiran C. Patel College of Allopathic Medicine, an NSF NAIRR AI Education Fellow, and serving as an Associate Editor for AI Magazine.
- Trustworthy ML
- Pediatric Endocrinology AI
- Medical Education
- Global Digital Health
- NSF NAIRR Fellow
Current Focus
Tools that support care, not just prediction
Research spanning pediatric endocrinology, medical LLM evaluation, medical education, and digital health systems for low-resource clinical settings.
About
From physics to clinically grounded AI.
I graduated in physics at the University of Genova, Italy, completed my master's there in physics, and earned my PhD in computer science in May 2020.
During my PhD, I was a visiting PhD student at MIT. I later joined MIT and Fujitsu Research of America for postdoctoral research focused on machine learning, systematic generalization, and robust AI.
Today I work at the intersection of machine learning, healthcare, medical education, and global health, with projects spanning pediatric endocrinology, clinical AI evaluation, and interoperable care workflows in Jamaica and the Galapagos Islands. I am also part of the inaugural NSF NAIRR AI Education Fellows cohort.
Appointments & Recognition
- Affiliate, Department of Medical Education, Dr. Kiran C. Patel College of Allopathic Medicine
- NSF NAIRR AI Education Fellow, 2026-2027
- Associate Editor, AI Magazine
- Interdisciplinary work across medicine, business, and computing
Outside Work
- Running
- Hiking
- Traveling
- Outdoors
Projects
Current work
A few active research and translation efforts.
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
Selected work
Selected work from Google Scholar, with recent pediatric endocrinology collaborations foregrounded. Additional collaborative studies are currently under submission.
Measuring Stability Beyond Accuracy in Small Open-Source Medical Large Language Models for Pediatric Endocrinology
D'Amario V., Daniel R., Zanetti A., Edamadaka D., Alaparthy N., Tarkoff J.
Utilization and Perception of Generative Artificial Intelligence by Medical Students in Residency Applications
Smith B., Ramadoss T., D'Amario V., Shoja M. M., Rajput V., Cervantes J.
Transformer Module Networks for Systematic Generalization in Visual Question Answering
Yamada M., D'Amario V., Takemoto K., Boix X., Sasaki T.
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering
Rahimi A., D'Amario V., Yamada M., Takemoto K., Sasaki T., Boix X.
On the Role of REM Sleep Microstructure in Suppressing Interictal Spikes in Electrical Status Epilepticus during Sleep
Giacomini T., Luria G., D'Amario V., Croci C., Cataldi M., Piai M., Nobile G., Bruni O., Consales A., Mancardi M. M., Nobili L.
How Modular Should Neural Module Networks Be for Systematic Generalization?
D'Amario V., Sasaki T., Boix X.
Teaching
Courses and training
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
Previously Taught
- 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
Recent Talks
Keynote Speaker
NAIRR Classroom Conference for Community Colleges - Miami Dade College and CRA · 2026
Measuring Stability Beyond Accuracy in Small Open-Source Medical Large Language Models for Pediatric Endocrinology
47th Workshop on Reproducible AI at AAAI, Singapore · 2026
Contact
Open to research collaboration, interdisciplinary projects, and student mentoring.
You can find ongoing work and updates through my public profiles below.