Building software and infrastructure for AI-driven protein design at Galux. Ph.D. in Chemistry (Seoul National University, 2026). Thesis: Computational Workflows and Software Systems for Structural Biology.
- Software engineering. C++ and Python libraries; build systems and packaging (CMake, PyPI wheels, conda-forge); CI/CD; fuzzing.
- Systems. GPU/HPC clusters on Ubuntu: provisioning with Ansible, scheduling with Slurm, health monitoring and automated remediation.
- Scientific computing. Molecular modeling, docking, virtual screening, and deep learning, with working knowledge of chemistry and biochemistry.
- Author and maintainer of nurikit, a C++/Python toolkit for chem- and bio-informatics: C++17 core with pybind11 bindings, native mmCIF support, protein and small-molecule structure alignment.
- SciPy (L-BFGS-B bug fixes), e3nn (device/dtype support), MMseqs2 (memory-mapped I/O fix)
- Ruff (LSP server), cpp-linter (parallelism)
- Homebrew (multiple formulas/casks)
- Full list: merged PRs
- Python, C/C++, Bash/zsh
- PyTorch, CMake, Ansible, Slurm, GitHub Actions
- Ph.D. in Chemistry, Seoul National University (seoklab), 2026.
- B.S. in Chemistry and Computational Sciences, Seoul National University, 2022.