Marzieh Amiri Shahbazi

About

I am a PhD candidate at Rochester Institute of Technology, with an MS from West Virginia University and a BS from Sharif University of Technology. My research focuses on building machine learning systems that are accurate, reliable, and adaptable over time. I develop models that combine strong predictive performance with uncertainty quantification, enabling them to respond effectively as new data becomes available. I apply these ideas in healthcare, where reliable decision-support tools can directly impact patient care and resource planning. 

Research Interests 

• Machine Learning 

• Uncertainty Quantification 

• Conformal Prediction 

• Continual Learning 

• Hierarchical Modeling 

• Healthcare Analytics 

News

• [Jun 2026] Workshop paper selected for Spotlight Presentation at ICML 2026 

• [May 2026] Workshop paper accepted at ICML

• [May 2026] Poster presentation accepted at INFORMS Healthcare Conference, Raleigh 

• [Apr 2026] Guest lecturer on Programming and Data Visualization at RIT 

• [Mar 2026] Paper published in IISE Transactions on Healthcare Systems Engineering (Taylor & Francis)

• [Jan 2026] Paper published in Scientific Reports (Springer Nature) 

• [Dec 2025] Successfully Passed PhD Candidacy Exam  

• [Nov 2025] Aware‑AI Seed Funding Award for Continual Learning Research 

• [Nov 2025] Workshop paper accepted at AAAI 

• [Oct 2025] Poster presentation at INFORMS Annual Conference, Atlanta 

• [Oct 2025] Paper published in Healthcare Analytics (Elsevier) 

• [May 2025] Paper published in Machine Learning with Applications (Elsevier) 

• [Feb 2025] Paper accepted at IISE Annual Conference 

• [Oct 2024] Presentation at INFORMS Annual Conference, Seattle