About Me
👋 Hi, I’m Nick Lee
I’m a computational biologist and data scientist with a background in molecular biology, bioinformatics, and data engineering. I’m passionate about building tools and workflows that make biological data more accessible, interoperable, and actionable — especially in the context of translational research, precision medicine, and drug discovery.
🧬 What I Do
I combine experimental insight with software engineering and analytics to solve problems at the interface of biology and data. My work often involves:
- Designing scalable data models for biomedical repositories (FAIR-compliant)
- Curating multi-omics datasets for public release
- Building dashboards, ETL pipelines, and database systems
- Collaborating across disciplines to move discoveries from bench to bedside
🚀 Mission & Motivation
I’m driven by the opportunity to accelerate research through better infrastructure and smarter tools. I believe well-designed data systems can transform how we share findings, replicate experiments, and ultimately improve patient outcomes.
🔍 Looking Ahead
I’m currently exploring opportunities that blend:
- Bioinformatics & AI
- Computational drug development
- Open science infrastructure
- Clinical data modeling & real-world evidence
I’m also preparing for PhD programs that focus on translational bioinformatics and precision health, particularly in the UC and Stanford systems.
Skills
🧠 Programming Languages
- Python, R, SQL, Bash
🧰 Tools & Libraries
- Pandas, Scikit-learn, BioPython, TensorFlow, OpenCV, matplotlib
- Docker, Git, Jupyter, Conda, Flask, Hugging Face
🔬 Domains
- Bioinformatics
- Computational Drug Discovery
- Data Wrangling & Cleaning
- Molecular Modeling
- NLP for Biomedical Texts
📬 Let’s Connect
If you’re working on something impactful and data-driven in biotech, healthcare, or bioinformatics — I’d love to chat.