Ann Song

Published Researcher | Researcher at Yale University

Ann Song

Published Researcher | Researcher at Yale University

Bio

Bio

Known for her influential publications, including "Finding Vulnerabilities in Mobile Application APIs: A Modular Programmatic Approach" and "Using Machine Learning to Forecast Progression from Cognitively Normal to Alzheimer's Disease", Ann is a research intern at Yale University. Her research focus spans cybersecurity and machine learning applications in healthcare. As a mentor, Ann offers in-depth knowledge of advanced research methodologies, data analysis, and the practical application of machine learning techniques. She guides on developing robust research strategies, tackling complex problems, and effectively communicating research findings. Her mentorship is dedicated to helping students achieve excellence in research and innovation.

Known for her influential publications, including "Finding Vulnerabilities in Mobile Application APIs: A Modular Programmatic Approach" and "Using Machine Learning to Forecast Progression from Cognitively Normal to Alzheimer's Disease", Ann is a research intern at Yale University. Her research focus spans cybersecurity and machine learning applications in healthcare. As a mentor, Ann offers in-depth knowledge of advanced research methodologies, data analysis, and the practical application of machine learning techniques. She guides on developing robust research strategies, tackling complex problems, and effectively communicating research findings. Her mentorship is dedicated to helping students achieve excellence in research and innovation.