Medical Student | Computational Biologist | Quantitative Researcher
I’m currently an M.D. candidate at Seoul National University of Medicine with a strong foundation in physics, computational biology, and software engineering. I build algorithms and tools where medicine, bioinformatics, and dynamical systems intersect.
- Bioinformatics & Personalized Medicine
- Computational neuroscience
- Physics-integrated Deep Learning
- Distributed computation for massively parallel scientific pipelines
- Heterogeneous compute for true parallelism
- Web Development & Data Visualization
- Efficient LLM workflow integration
🔹 Codon Optimization for mRNA Vaccine Design – VaxPress
A Python-based optimizer tailored for mRNA therapeutics.:
🔹 Publication alert system – Paper Sorter
Automated RSS-based curation for research discovery.:contentReference
🔹 KidPro - Kidpro
A ViT-based model for IgAN prognostication based on WSI (whole slide images)
🔹 NABI Website - homepage
A web-based substrate for team collaboration and publication.
🔹 AI SAFE / Notebook Projects
A skeleton of a XGBoost-based algorithm for early child abuse detection
- Languages: Python, C/CUDA, Typescript, R
- Bioinformatics: RNA structure algorithms, partition functions, molecular dynamics
- ML & Modeling: Experience in Pytorch & JAX's JIT and pallas for TPU acceleration
- Cloud & DevOps: Kubernetes, Docker, Hydra,
mlflow, CI/CD - Distributed Systems: Parallel computing for bio pipelines
- M.D. Candidate — Seoul National University of Medicine
- Bioinformatics at ChangLabSNU
- Computational neuroscience with SNUCN
- ORCID: https://orcid.org/0009-0003-0846-5072
- LinkedIn: https://linkedin.com/in/qmedim
- 📄 Portfolio & CV: https://github.com/Cauch-BS/Curriculum-Vitae
- 📬 Email: cauchybsheen@gmail.com
- 🔗 LinkedIn: https://linkedin.com/in/qmedim