Linglin Zhang

Linglin Zhang has extensive experience in data science and research within the fields of bioinformatics and medical informatics. As a Graduate Research Assistant at Georgia Institute of Technology, research focused on machine learning strategies to predict post-translational modification sites on protein families. At Emory University School of Medicine, responsibility included screening mammogram abnormality classification. A Data Scientist Intern at Equifax contributed to multiple projects, providing data-driven decision-making insights. Earlier work as a Research Assistant at the University of Michigan Medical School involved developing computational methods addressing complex medical and biological challenges. Zhang's educational background includes a PhD in Data Science and Analytics from Kennesaw State University and two Master’s degrees in Biochemistry and Bioinformatics.