I am a problem solver at the intersection of Computer Science and Biotechnology. Currently pursuing an MS in Bioinformatics at San Jose State University, I focus on building efficient computational tools and AI models to solve complex biological challenges.
- MS in Bioinformatics @ San Jose State University (In Progress, expect to graduate 2027 summer)
- Dual BS in Computer Science & Engineering and Horticultural Biotechnology
- Hackathon Champion: SJSU Bioinformatics Hackathon 2025 (RAG pipeline for SNPs), Sillicon Valley Koreans
- Background: Former Android Developer with a focus on scalable architecture and Agile workflows.
- Goal: Accelerate SNP research using Generative AI.
- Stack: Python, RAG (Retrieval-Augmented Generation), Gemini API, SNP Databases.
- Role: Built the RAG pipeline and a streamlined UI to provide researchers with instant, verified SNP insights.
- Goal: Predict RNA-seq counts using ChIP-seq histone mark signals.
- Stack: Python, Scikit-learn (SVM), Pandas, Matplotlib.
- Key Result: Achieved R-score of 0.75, exploring the correlation between chromatin states and gene regulation.
- Goal: Automated workflows for NGS data processing.
- Stack: Snakemake, Docker, QIIME2, Linux/Bash.
| Category | Skills |
|---|---|
| Languages | Python, R, Java, Kotlin, C++, SQL, Bash |
| AI / ML | PyTorch, TensorFlow, Scikit-learn |
| Bioinformatics | BioPython, Pandas, Snakemake, Docker, QIIME2, Genomic Data Processing |
| Engineering | Git CI/CD, Agile, Test-Driven Development (JUnit), Android (Compose/MVVM) |
- LinkedIn: linkedin.com/in/solpt/
- Blog (Eng): seqpt.blogspot.com/
- Blog (Kor): holsui.tistory.com/