معرفی
Rui Zhu is a Postdoctoral Associate in Biomedical Informatics and Data Science at Yale University School of Medicine. Their work bridges artificial intelligence, privacy-preserving technologies, and biomedical applications, focusing on secure and ethical AI systems for healthcare.
- Education: PhD in Computer Science (2024) and MS in Statistics (2019) from Indiana University Bloomington; BA in Mathematics (2015) from the University of Utah.
Zhu's research explores privacy risks in large language models, federated learning security, and explainable AI for drug recommendation. They investigate adversarial attacks, backdoor suppression, and fairness enhancement in AI systems, particularly under resource constraints.
Their recent publications highlight expertise in AI-driven diagnostics (e.g., Alzheimer's detection via voice analysis), financial risk modeling, and differential privacy. Key themes include membership inference, neural network robustness, and ethical deployment of AI in healthcare.
Zhu is affiliated with Yale's Biomedical Informatics & Data Science department, mentored by Prof. Lucila Ohno-Machado, and previously worked with Prof. Haixu Tang at Indiana University. Their work emphasizes collaboration between computer science and biomedical domains.