- π Earned a BSc in Health Biotechnology, and almost a MSc in Bioinformatics.
- π Love applying machine learning to real-world biological problems.
- π» Programming and OS: Python, Bash, R, Linux, MacOS
- π Modeling: Deep Learning (DNN, CNN, AE, VAE), Machine Learning (SVM, Random Forest, HMM, Regression)
- 𧬠Bioinformatics: NGS processing and analysis (ChIP-seq, ATAC-seq, RNA-seq, WES-seq), Statistical analysis, Data visualization
- π Python Libraries: scikit-learn, Keras, TensorFlow, pandas, SciPy, NumPy, matplotlib, seaborn
- π οΈ Other Tools: Anaconda, Docker, Git, PowerPoint, VSCode
Check out my GitHub repositories with academic and personal projects showcasing my work in bioinformatics, deep learning, and NGS analysis.
Interested in my academic experience? Visit my Linkedin for more insights.