Regular biography
Yuzhe Yang is an Assistant Professor in the Department of Computer Science at the University of California, Los Angeles. His research focuses on machine learning methods with applications in human disease, health, and medicine, including areas such as Artificial Intelligence, AI for Health, and AI for Science. He is affiliated with the UCLA Samueli School of Engineering. His work has been featured in various publications and media outlets, including Science, MIT, and Forbes. Yang holds a PhD from the Massachusetts Institute of Technology and has received several awards, including the AMIA Edward H. Shortliffe Doctoral Dissertation Award and recognition as a Forbes 30 Under 30.
Scholar-generated biography
Yuzhe Yang is an Assistant Professor at UCLA, specializing in Machine Learning, Artificial Intelligence, and Healthcare. His research focuses on developing advanced machine learning techniques to address challenges in imbalanced learning, robustness against adversarial attacks, and the application of AI in medical diagnostics and monitoring. Yang's work includes AI-enabled detection of Parkinson’s disease using nocturnal breathing signals and analyzing demographic bias in medical imaging AI. He also explores wearable technologies for health monitoring and the deployment of AI in smart city environments for air quality sensing. His research emphasizes improving the generalization and fairness of AI systems in real-world applications.