Sunghwan Ban is an experienced biotechnology professional with 13 years of hands-on expertise in antibody discovery, engineering, and immuno-oncology research, now transitioning into business development at AbTis. He led monoclonal antibody discovery and affinity maturation workflows—establishing cassette vector systems, optimizing Expi-CHO/293 expression and Octet-based kinetics screening—and has a strong track record in molecular cloning, mutagenesis, and assay development. His academic training in bioinformatics and a master’s in biotechnology underpin a pragmatic approach to protein engineering and optogenetic tool development from his Korea University research. Sunghwan also contributes to open-source tooling on GitHub, demonstrating full-stack development experience by improving gh-pages publishing reliability. Known for independently setting up complex experimental systems and translating lab results into project proposals, he bridges technical R&D and strategic project advancement.
13 years of coding experience
4 years of employment as a software developer
Master's degree Biotechnology, Master's degree Biotechnology at Korea University
General purpose task for publishing files to a gh-pages branch on GitHub
Role in this project:
Full-stack Developer
Contributions:10 commits, 1 PR, 4 comments in 7 days
Contributions summary:Sunghwan primarily worked on improving the functionality of the `gh-pages` library. Their contributions included refactoring code related to removing files in the remote branch, changing the order of operations, and renaming options. They also added tests and configured the project with a `.prettierrc` file. These changes improved the overall maintainability, clarity and robustness of the library.
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