Dailin Gan, Ph.D. candidate from the Department of Applied and Computational Mathematics and Statistics, is the recipient of the Eli J. and Helen Shaheen Award in Science
Doctoral candidate Dailin Gan is a statistician working to integrate statistics, machine learning, and computational biology to extract deep insights from complex biological data. His research is already helping scientists better understand and analyze high-dimensional genomic data. Gan has an exceptionally strong publication record, authoring or co-authoring 12 peer-reviewed articles in major journals, including Genome Biology, Bioinformatics, Cancer Research, Cell Metabolism, and Nature Communications. He is also the recipient of a prestigious international biosecurity fellowship.
Please visit this link to view the full list of awards.