Wenyu Zeng

Wenyu Zeng is a first-year Ph.D. student in the Biomedical and Health Informatics program at the University of Washington in Seattle. Wenyu received her Bachelor’s degree in statistics from the University of Pittsburgh, and her Master’s degree in data science from The George Washington University, where she cultivated her interest in the implementation of machine and deep learning techniques using biomedical data. Her past experiences at the National Center for Advancing Translational Sciences (NCATS) were focused on building predictive models using various kinds of biomedical data. She helped predict the toxicities of chemical compounds from the Tox21 dataset, as well as the severity levels for patients with COVID-19 using their pre-COVID metabolomic data. Zeng’s research interest focuses on integrating multi-omics data with machine learning algorithms to better interpret biomedical data.