MS Students

Marthin Mandig is currently a graduate student in the Biomedical and Health Informatics Master’s program with a strong interdisciplinary background in public health and data science. He has conducted research at institutions including Fred Hutchinson Cancer Center, Seattle Children’s Research Institute, and University of Washington Medicine, where he supported studies in HIV, oncology, and behavioral health by developing data pipelines, performing statistical analyses, and contributing to reproducible research workflows. His work spans structured and unstructured data sources, including electronic health records, clinical trial datasets, and biological sequence data.
With his interest in using EHR data and computational methods to better understand treatment outcomes, disparities in care, and patient engagement across marginalized populations, he’s motivated to bridge computational innovation with real-world clinical and public health impact.

Eric Prologo is a Master’s student in Biomedical and Health Informatics student at the University of Washington. He intends to pursue research opportunities involving machine learning and predictive modeling with electronic health record data. During his time in the graduate program, Eric also plans to obtain a specialization in Data Science and commission through the University of Washington Army ROTC program. Eric has received his BA in Computer Science with minors in Biomedical Engineering and Philosophy from the University of Colorado Boulder. In his undergraduate career, he participated in the Biomedical Engineering Student Society Chapter and conducted wet lab research performing imagery analysis of microbubbles and nanodroplets. He completed two internships in Data Science at Kenworth where he was responsible for various projects involving network modeling and time series analysis. Ultimately, Eric hopes to use informatics and electronic health records to support early detection and monitoring to enhance overall patient care.

Kenny Yi received a BS in Biology (Physiology) from the University of Washington. He then worked as a medical data specialist at All4Cure, a myeloma-focused knowledge-sharing platform. He helped develop dashboards for cancer patients by extracting biomarkers and treatment histories from electronic health records. Currently, Kenny is pursuing a Master’s in Biomedical and Health Informatics at the University of Washington. His main research interests involve deep learning applied to analyzing medical imaging in addition to improving cancer screening and diagnostics.