- π MSc in Bioinformatics (Univeristy of Bologna) and BSc in Health Biotechnology (University of Naples Federico II)
- 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.
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