Research output per year
Research output per year
Personal profile
About
Vanessa D'Amario is an Assistant Professor within the Department of Decision Sciences at H. Wayne Huizenga College of Business and Entrepreneurship, Nova Southeastern University. Before assuming this role, she honed her expertise in machine learning and deep learning methods through an internship at Fujitsu Research of America and as a postdoctoral researcher at the Massachusetts Institute of Technology (MIT). She obtained her bachelor's and master's degrees in physics from the Università degli Studi di Genova, Italy. At the same institution, she earned a Ph.D. in computer science in 2020, where she utilized signal processing and machine learning to investigate different forms of epilepsy. Her research pursuits revolve around machine learning and its application to healthcare.
Education/Academic qualification
Ph.D., University of Genoa
… → 2020
B.S., University of Genoa
M.S., University of Genoa
ASJC Scopus Subject Areas
- Artificial Intelligence
Disciplines
- Medicine and Health Sciences
- Artificial Intelligence and Robotics
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Computer Science Review: The Basics
Bronsburg, S. E. & D'Amario, V., May 1 2026, Introductory Textbook in Health Informatics. Eldredge, C., Feldman, S. S., Faysel, M. A. & Rana, A. M. (eds.). 1 ed. Springer Nature, p. 41-50 9 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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From Classroom to Compute: Using NAIRR to Strengthen AI Teaching and Students Skills
D'Amario, V., Feb 18 2026.Research output: Contribution to conference › Presentation
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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., Jan 27 2026.Research output: Contribution to conference › Presentation › peer-review
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P-1777. AI-Powered Blood Parasite Detection: A Smartphone Diagnostic Tool for Resource-Limited Settings
Vassalotti, R., Cervantes, J., D'Amario, V. & Colwell, S., Jan 1 2026.Research output: Contribution to conference › Abstract › peer-review
Open Access -
Building a Diverse Dataset for Large Language Model Fine-Tuning and Evaluation in Pediatric Type I Diabetes
Trupiano, A., Bednarczyk, T., Gandi, M., Laxman, S., Spector, R., Sarkar, D., Perez, B., Persuad, M., Sood, N., Tarkoff, J. & D'Amario, V., Apr 10 2025.Research output: Contribution to conference › Poster › peer-review
Prizes
Press/Media
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“Above the Trend Line” – Your Industry Rumor Central for 12/21/2021
12/21/21
1 item of Media coverage
Press/Media: Research
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Fujitsu and MIT's Center for Brains, Minds, and Machines Develop AI Technology Inspired by the Human Brain Able to Recognize Unseen Data with High Accuracy
12/8/21 → 12/9/21
10 items of Media coverage
Press/Media: Research
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Fujitsu and MIT Develop AI Technology Inspired by the Human Brain
12/9/21
3 items of Media coverage
Press/Media: Research