Jongwook Choi
Research Scientist at Dow
Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolJongwook Choi is a research scientist with 13+ years of experience in organometallic chemistry, homogeneous catalysis, and polymerization, currently driving materials and catalysis research at Dow. He combines deep experimental skills—metal-organic synthesis, kinetic and mechanistic analysis, and characterization by NMR, IR, MS, GC and GPC—with a strong track record of reproducible data management and quality control. A Columbia Ph.D. with prior academic and national-lab roles, he has published extensively and mentors cross-functional teams while communicating complex results to technical and non-technical audiences. Beyond the bench, he contributes to open-source software by improving Neovim’s Lua and LSP functionality, reflecting a pragmatic interest in developer productivity tools. Fluent in Korean and English, he brings both international research perspective and hands-on problem-solving to industrial R&D.
14 years of coding experience
4 years of employment as a software developer
B.E., Industrial Chemistry, B.E., Industrial Chemistry at Hanyang UniversityPh.D., Chemistry, Ph.D., Chemistry at Columbia University
Github Skills (11)
code-editor10
lua10
editors10
language-server10
language-server-protocol10
text-editor10
editor10
vimscript9
apidoc9
api9
python8
Programming languages (26)
Github contributions (5)
neovim/neovim
Nov 2022 - Nov 2022
Vim-fork focused on extensibility and usability
Role in this project:
Backend Developer
Backend DeveloperContributions:391 reviews, 1 commit, 66 PRs in 1 day
Contributions summary:Jongwook primarily focused on enhancing the Neovim text editor's Lua scripting capabilities and core functionality. They fixed bugs related to the `vim.ui.input` and `vim.fn.sign_define` functions, ensuring correct behavior with empty inputs and optional fields. Additionally, the user refactored the LSP (Language Server Protocol) features, adding type annotations and addressing issues like Python provider detection and the handling of multi-line error messages. These contributions highlight a strong emphasis on improving the editor's core features and its integration with external tools.
extensibilityvimneovimclua
wookayin/tensorboard-tools
Feb 2017 - Nov 2022
📉 A collection of TensorBoard-related utilities (In Progress)
Contributions:20 commits, 1 PR, 13 pushes in 5 years 9 months
tensorboardtensorflowpython
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