Photograph of a Asian man with short brown hair, eye glasses, and an blue shirt, standing in front of buildings and trees. Photograph of a Asian man with short brown hair, eye glasses, and an blue shirt, standing in front of buildings and trees.

I’m a NIH K99/R00 Postdoctoral Fellow at Harvard University in informatics working with Nils Gehlenborg. I received PhD in Computer Science and Engineering from Seoul National University with the supervision of Jinwook Seo at the Human-Computer Interaction Lab.

As an interdisciplinary researcher working at the intersection of data visualization, human–computer interaction, and biomedical informatics, my vision is to democratize the creation and use of domain-specific data visualizations. I design and develop interactive data systems that scale to a wide range of user needs within biomedical domains. For example, I built foundations for domain-specific visualization and AI through developing a domain-specific language (DSL), which enables constructing scalable and interactive genomics data visualization and leveraging AI methods (read Nature’s Technology Feature).

I have also been closely collaborating with diverse biomedical experts through my expertise in visualization and biomedical informatics. A collaborative project focused on analyzing and visualizing electronic health records (EHR) data of COVID-19 (4CE Consortium).

Research I led received several notable academic awards, including NIH/NHGRI K99/R00 Pathway to Independence Award—which will provide research funding at my future faculty institution ($747,000)—Best Paper Honorable Mention (Top 5%) at IEEE VIS 2024, and Best Abstract Award (Top 1) at ISMB BioVis 2021.

I‘m currently on the academic job market for tenure-track positions in Computer Science, Biomedical/Health Informatics, and related interdisciplinary fields. If you're aware of relevant openings or potential collaborations, feel free to reach out: sehi_lyi@hms.harvard.edu.

Latest News

Oct 27, 2025I am serving as Program Committee for VisNotes at IEEE PacificVis 2026
Oct 27, 2025My senior-author paper accepted at PLOS Computational Biology
Jul 28, 2025A full paper and a GenAI workshop paper accepted at VIS 2025
Jul 27, 2025One paper received
  • Runner-Up Abstract Award at ISMB BioVis 2025
    Jun 25, 2025Our papers accepted at Nature Scientific Reports and Nature EMM
    Mar 01, 2025I'm serving as Program Committees for full papers at VIS 2025 and VisNotes at PacificVis 2025
    Jan 24, 2025Our workshop has been accepted at ISMB 2025
    Oct 31, 2024One paper accepted at Oxford Bioinformatics
    Oct 28, 2024Chromoscope integrated into cBioPortal - most widely used data portals for cancer genomics
    Sep 01, 2024I'm deeply honored to receive
  • NIH K99/R00 Pathway to Independence Award
    Aug 11, 2024Our paper received
  • Best Paper Honorable Mention at VIS 2024!
    Aug 10, 2024Two workshop papers accepted at AccessViz workshop at VIS 2024
    Jul 26, 2024Two full papers accepted at VIS 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."
    Image with two heatmap visualizations that look like an eyebrow and an eye.

    Research Themes

    Foundations for Domain-Specific Visualization and AI
    Scalable Visual Analytics Systems for Cancer Genomics
    Accessibility of Scientific Data Resources and Visualizations
    Sehi L'Yi, Harrison G. Zhang, Andrew P. Mar, Thomas C. Smits, Lawrence Weru, Sofía Rojas, Alexander Lex, Nils Gehlenborg
    Nature Scientific Reports (2025) 15, 23676
    Sehi L'Yi, Astrid van den Brandt, Etowah Adams, Huyen N. Nguyen, Nils Gehlenborg
    IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2025)
    23.2% acceptance rate
    Best Paper Honorable Mention
    Astrid van den Brandt**, Sehi L'Yi, Huyen N. Nguyen, Nils Gehlenborg
    IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2025)
    23.2% acceptance rate
    Thomas C Smits**, Sehi L'Yi, Andrew Patrick Mar, Nils Gehlenborg
    Bioinformatics (2024)
    Runner-Up Abstract Award at ISMB BioVis 2025
    Sehi L'Yi, Dominika Maziec, Victoria Stevens, Trevor Manz, Alexander Veit, Michele Berselli, Peter J Park, Dominik Głodzik, Nils Gehlenborg
    Nature Methods (2023) 20, 1834–1835
    Sehi L'Yi, Nils Gehlenborg
    IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2023) 29(1), 559-569
    26.5% acceptance rate
    Aditeya Pandey**, Sehi L'Yi, Qianwen Wang, Michelle A Borkin, Nils Gehlenborg
    IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2023) 29(1), 570-580
    26.5% acceptance rate
    IEEE InfoVis Best Poster Research Award
    Sehi L'Yi, Qianwen Wang, Fritz Lekschas, Nils Gehlenborg
    IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proc. VIS) (2022) 28(1), 40-150
    25.8% acceptance rate
    ISMB/ECCB BioVis Best Abstract Award