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.
Latest News
- (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!
- (July 12, 2024) I am happy to present our user studies on genomics data visualization authoring at ISMB/BioVis 2024!
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."
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Featured Publications [see more]
IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2024), Accepted
🏆 Best Paper Honorable Mention
Acceptance Rate 23.2%
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IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2024), Accepted
Acceptance Rate 23.2%
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Nature Methods (Correspondence) (2023), 20, 1834–1835
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IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '22) (2022), 29(1), 559-569
Acceptance Rate 26.5%
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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%
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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%
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IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. IEEE VIS '20) (2020), 27(2), 1525-1535
Acceptance Rate 25.6%
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