Xueyan Mei, Graduate Student

Department of Applied Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA

Xueyan Mei is a graduate school student at the School of Professional Studies, Columbia University, New York, NY, USA. She earned her undergraduate at University of Oklahoma with Summa cum Laude in Mathematics, USA.

She is currently working on machine learning and deep learning with the concentration on health care, credit risk analysis, and image detection. She has five papers published in IEEE international conferences. The topics are lying in machine learning, object detection, support vector machine, and image clustering. She is researching on early lung cancer detection and survival analysis by machine learning and deep learning algorithms. Her goal is to dramatically reduce the false-negative rate, classification of malignancy/benignancy, and accurate prediction of survival rate.

Her research interests and main publications focus on Machine learning on health care, economics and finance, medical statistics, early lung cancer detection by artificial intelligence, image clustering, processing, and detection, risk analysis, lung cancer survival analysis and finite element method.