I'm a bioinformatics researcher with hands-on experience in computational biology, machine learning, and structural analysis of macromolecules. My work lies at the intersection of biological data, algorithm design, and deep learning models. I’m passionate about leveraging modern computational tools to decode the complexity of life at the molecular level.
Languages: Python, R, Bash, SQL
Libraries/Frameworks: scikit-learn, PyTorch, TensorFlow, Biopython, XGBoost, Pandas, Hydra
Bioinformatics: NGS analysis, differential expression (DESeq2), cryo-EM data processing (CryoSPARC, Relion), sequence alignment, variant calling
Dev Tools: Git, GitHub, Docker, VS Code
Visualization: matplotlib, seaborn, ggplot2, PyMOL, UCSF Chimera
- Deep learning architectures for biosequence and structural data
- Large-scale data integration in omics pipelines
- Diffusion models & generative AI for protein design
I'm always open to collaboration, scientific discussion, and new ideas. Feel free to check out my projects or reach out!
