Maria Ana Cardei
Hi, I’m Maria. I am a Computer Science Ph.D. student at the University of Virginia advised by Professor Afsaneh Doryab in the Human-AI Technology Lab. I graduated Cum Laude from the University of Florida in May of 2023 with a Bachelor of Science degree in Biomedical Engineering and a minor in Computer Science. I received a Masters degree in Computer science from the University of Virginia in 2025. My research interests include AI for health and computational behavior modeling.
news
| Aug 01, 2025 | I had the opportunity to speak on a panel about career paths in science and engineering for the 2025 Building Leaders for Advancing Science and Technology (BLAST) program at UVA! I enjoyed a thoughtful conversation with 80 rising 9th and 10th grade students, sharing my experiences and exploring the many possibilities ahead in STEM. |
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| Jun 20, 2025 | Our paper Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques has been published in ACM Transactions on Computing for Healthcare. |
| May 19, 2025 | I started as a Machine Learning/Artificial Intelligence Engineer Intern at Dexcom. |
| May 15, 2025 | I received my Masters degree in Computer Science from University of Virginia. |
| Apr 08, 2025 | I received the 2025 NSF Graduate Research Fellowship (GRFP) award! |
| Feb 22, 2025 | I co-led the “CS Research Workshop” with Matt Clark at the Women in Computer Science (WiCS) Hackathon at UVA! |
| Dec 06, 2024 | I was re-elected to serve as a Social Co-Chair of the UVA Computer Science Graduate Student Group (CSGSG) for the second year in a row. |
| Oct 30, 2024 | Our paper Practical Heuristics for Victim Tagging During a Mass Casualty Incident Emergency Medical Response has been published in the 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). I traveled to Bari, Italy to present our work! |
| Jul 01, 2024 | Our abtract Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams has been published in the 2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS). |
| Feb 09, 2024 | Our paper Deep neural networks for wearable sensor-based activity recognition in Parkinson’s disease: investigating generalizability and model complexity has been published in the BioMedical Engineering OnLine Journal. |