Scholar
Shahriar Noroozizadeh
Google Scholar ID: 3mRjov8AAAAJ
Carnegie Mellon University
Citations & Impact
Citations
49
H-index
4
i10-index
1
Publications
14
Co-authors
10
list available
Publications
Resume (English only)
Education
- M.S. in Machine Learning, Carnegie Mellon University (2022)
- M.S. in Biomedical Engineering, Carnegie Mellon University (2020; thesis on Neuromodulation)
- B.A.Sc. in Engineering Physics (specialization in Electrical Engineering and Computer Science), University of British Columbia, with high honours (2018)
- Ph.D. advisors: Prof. George Chen (Heinz College & Machine Learning Department) and Prof. Jeremy Weiss (National Library of Medicine, NIH)
- MLD Mentor: Prof. Zachary Lipton
Background
- Joint Ph.D. student in Machine Learning and Public Policy Management at Carnegie Mellon University
- Research focuses on interpretable representation learning for temporal data with applications in healthcare
- Interested in how the next-token prediction paradigm in large language models shapes their strengths and limitations
- Explores implicit memory and reasoning mechanisms in sequence models
- Investigates the intersection of machine learning and information systems management, especially for high-stakes decision-making in healthcare, with emphasis on causal inference and survival analysis
