I’m a postdoctoral research fellow advised by Nils Gehlenborg at the Department of Biomedical Informatics at Harvard Medical School. I am also the DEI committee of the Department of Biomedical Informatics and an accessibility ambassador at Harvard through Whole Me Campaign. I received my PhD in Computer Science and Engineering from Seoul National University where I studied Human–Computer Interaction and Visualization under the supervision of Jinwook Seo at the HCI Lab.

As a researcher working at the intersection of human–computer interaction, visualization, and biomedical informatics, I design, develop, and evaluate visualization techniques and tools to help a broad range of people in genomics to access, analyze, and communicate genomics data. In the HIDIVE Lab, I have been focusing on the Gosling grammar-based genomics data visualization, which enables the flexibility in creating interactive genome-mapped data visualization. As a part of my research contribution in biomedical informatics, I have been also contributing to several projects with large data portals, including Consortium for Clinical Characterization of COVID-19 by EHR (4CE), Cistrome Data Browser, and cBioPortal, such as integrating interactive data visualization.

Latest News

• (October 31, 2024) Our paper on AltGosling for making genomics data visualization accessible has been accepted at Oxford Bioinformatics!
• (October 28, 2024) Chromoscope has been integrated into cBioPortal—one of the most widely used data portals for cancer genomics!
• (August 11, 2024) Our paper on Blended Interfaces received 🏆 Best Paper Honorable Mention at IEEE VIS 2024!
• (August 10, 2024) Two workshop papers have been accepted at IEEE VIS 2024/1st Workshop on Accessible Data Visualization!
• (July 26, 2024) Two full papers on visualization authoring have been accepted to IEEE VIS 2024!

Media Coverage

Nature (TECHNOLOGY FEATURE) A graphics toolkit for visualizing genome data Powerful 'grammar' allows geneticists to display their data in interactive and scalable illustrations. "Postdoc Sehi L’Yi, who led Gosling’s development, says that what differentiates Gosling from other visualization tools is its expressiveness. With most tools, he says, the graphics that can be made and what they will look like are predefined. ‘It is really not easy to customize visualizations as a user.’ But with Gosling, users can, for instance, specify the colour, dimensions and placement of the symbol used to represent a centromere or genomic interval, then overlay that on an ideogram of a chromosome to highlight a region of interest."

Featured Publications [see more]

Learnable and Expressive Visualization Authoring Through Blended Interfaces Sehi L'Yi, Astrid van den Brandt, Etowah Adams, Huyen N. Nguyen, Nils Gehlenborg IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2024), Accepted 23.2% acceptance rate 🏆 Best Paper Honorable Mention
Understanding Visualization Authoring Techniques for Genomics Data in the Context of Personas and Tasks Astrid van den Brandt, Sehi L'Yi, Huyen N. Nguyen, Nils Gehlenborg IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2024), Accepted 23.2% acceptance rate
Chromoscope: interactive multiscale visualization for structural variation in human genomes Sehi L'Yi, Dominika Maziec, Victoria Stevens, Trevor Manz, Alexander Veit, Michele Berselli, Peter J Park, Dominik Głodzik, Nils Gehlenborg Nature Methods (Correspondence) (2023), 20, 1834–1835
Multi-view Design Patterns and Responsive Visualization for Genomics Data Sehi L'Yi, Nils Gehlenborg IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '22) (2022), 29(1), 559-569 26.5% acceptance rate
GenoREC: A Recommendation System for Interactive Genomics Data Visualization Aditeya Pandey, Sehi L'Yi, Qianwen Wang, Michelle A Borkin, Nils Gehlenborg IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '22) (2022), 29(1), 570-580 26.5% acceptance rate 🏆 IEEE InfoVis Best Poster Award
Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization Sehi L'Yi, Qianwen Wang, Fritz Lekschas, Nils Gehlenborg IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '21) (2021), 28(1), 40-150 25.8% acceptance rate 🏆 ISMB/ECCB BioVis Best Abstract Award
Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions Sehi L'Yi, Jaemin Jo, Jinwook Seo IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '20) (2020), 27(2), 1525-1535 25.6% acceptance rate