Sehi L'Yi, PhD
Biography
Research Fellow in Biomedical Informatics
Sehi L’Yi is an interdisciplinary researcher focusing on human-centered biomedical data visualization. His postdoctoral research has focused on building visualization tools to help a broad range of people interact with complex and large-scale biomedical data, including genomics, epigenomics, and electric health records (EHR) data. He received several major academic awards, including NIH K99/R00 Pathway to Independence Award, Best Paper Honorable Mention (Top 5%) at IEEE VIS 2024, and Best Abstract Award (Top 1) at ISMB BioVis 2021. Before joining the HIDIVE Lab, he received a PhD in Computer Science and Engineering from Seoul National University with the supervision of Dr. Jinwook Seo at the Human—Computer Interaction Lab.
News
- Best Poster and Best Paper Honorable Mention at IEEE VIS
- Participants wanted! User study on Genome-mapped Data Visualizations
- IEEE VIS 2024
- Talks, posters, and tutorial at ISMB@2025
Publications
- Evolving phenotypes of non-hospitalized patients that indicate long COVID
- International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: the 4CE Consortium
- International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: a 4CE Consortium Study
- International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality
- Potential pitfalls in the use of real world data to study Long COVID
- GenoREC: A Recommendation System for Interactive Genomics Data Visualization
- Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2
- National Trends in Disease Activity for COVID-19 Among Children in the US
- Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data
- What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask
- Design Space and Declarative Grammar for 3D Genomic Data Visualization
- Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19
- Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization
- Multi-View Design Patterns and Responsive Visualization for Genomics Data
- Chromoscope: interactive multiscale visualization for structural variation in human genomes
- Cistrome Explorer: An Interactive Visual Analysis Tool for Large-Scale Epigenomic Data
- The Role of Visualization in Genomics Data Analysis Workflows: The Interview
- A comprehensive evaluation of life sciences data resources reveals significant accessibility barriers
- Learnable and Expressive Visualization Authoring through Blended Interfaces
- Cistrome Data Browser: integrated search, analysis and visualization of chromatin data
- Gos: a declarative library for interactive genomics visualization in Python
- Multimodal Retrieval of Genomics Data Visualizations
- AltGosling: Automatic Generation of Text Descriptions for Accessible Genomics Data Visualization
- Explaining Unfamiliar Genomics Data Visualizations to a Blind Individual through Transitions
- Understanding Visualization Authoring Techniques for Genomics Data in the Context of Personas and Tasks
- Improving the Utility and Usability of Visualization in AI-driven Scientific Discovery
- SurvMaximin: Robust federated approach to transporting survival risk prediction models
- Enabling Multimodal User Interactions for Genomics Visualization Creation
- Drava: Concept-Driven Exploration of Small Multiples using Interpretable Latent Vectors
- Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
- Using OpenKeyNav to Enhance the Keyboard-Accessibility of Web-based Data Visualization Tools
- International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
- Characterizing the use of the ICD-10 Code for Long COVID in 3 US Healthcare Systems