I’m a postdoctoral research fellow advised by Nils Gehlenborg at the Department of Biomedical Informatics at Harvard University. 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.

I work at the intersection of information visualization, human-computer interaction, and biomedical informatics. I am currently focusing on developing innovative ways for a broad range of people, including people with and without disability, in the biomedical workforce to access, analyze, and visualize biomedical data.

In the HIDIVE Lab, I have been focusing on the Gosling grammar-based genomics data visualization which was featured by Nature. I have been also contributing to the Consortium for Clinical Characterization of COVID-19 by EHR (4CE) through interactive visualizations for data accessment, analysis, and communication.

Some of my other research interests include designing interactions, interfaces, and visualizations in the general area of Human–Computer Interaction, such as mobile visualizations, shoulder-surfing problems, and one-handed smartphone interactions.

I am in the job market starting this year (2024-2025 cycle) looking for tenure-track faculty positions in Computer Science, Computational Biology, Bioinformatics, and related fields. Please reach out to me if you have any questions or opportunities! (sehi_lyi@hms.harvard.edu)

Latest News

Media Coverage

Nature (TECHNOLOGY FEATURE)
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."
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
🏆 Best Paper Honorable Mention
Acceptance Rate 23.2%
Astrid van den Brandt, Sehi L'Yi, Huyen N. Nguyen, Nils Gehlenborg
IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2024), Accepted
Acceptance Rate 23.2%
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
Sehi L'Yi, Nils Gehlenborg
IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '22) (2022), 29(1), 559-569
Acceptance Rate 26.5%
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
🏆 IEEE InfoVis Best Poster Award
Acceptance Rate 26.5%
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
🏆 ISMB/ECCB BioVis Best Abstract Award
Acceptance Rate 25.8%
Sehi L'Yi, Jaemin Jo, Jinwook Seo
IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '20) (2020), 27(2), 1525-1535
Acceptance Rate 25.6%