While pursuing his undergraduate degree in mathematics at UCLA, Wei Dai was attracted by the patterns and knowledge behind data. He wanted to explore information hidden in genetic and public health data with the objective of helping to reduce the risk of disease.
Now a second year Master of Science student in the Department of Biostatistics, Wei has gained practical experience in both bioinformatics and machine learning. As a research assistant in Professor Hongyu Zhao’s lab, his work focuses on analyzing genetic correlations between neurodegenerative, psychological, and immune diseases. This research experience, says Wei, “helped me realize that genes are the key to reducing the risk of disease and ultimately improving human health.”