MS Students

Kevin Lee obtained a BA in Geography from the University of Washington in 2025. His academic background spans geography, music, informatics, computer science, and biology, and this interdisciplinary training shapes both the questions he asks and the methods he uses to approach them. His work in geography informs his focus on lived experience, accessibility, and spatial inequities in health, while informatics provides the technical tools necessary to work with data, models, and digital health systems. His training in music further influences how he thinks about signals, perspective, and the embodied experience of technology.

Currently, Kevin studies how artificial intelligence influences health-related information-seeking behaviors among older adults who primarily speak Mandarin Chinese. He is also involved in research examining spatial patterns in health services and health outcomes. His long-term research interests include osseointegrated prosthetics and the development of artificial afferent and efferent neural pathways to enable more precise prosthetic control and to improve the accessibility and effectiveness of rehabilitative technologies.

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.