My research interest is in predictive modeling and machine learning.
I am a doctoral student in the department of Statistics. I have a background in Mathematical sciences, Applied statistics, and Biostatistics. My interest is to explore and apply innovative statistical methods to data analysis, including clinical, time-to-event, and epidemiological data. My current research aims at improving the quality of care and prediction of stroke outcome using modern machine learning algorithms.