Hi, I'm Rania Derouich 👋

Junior Bioinformatician at the intersection of Genomics, AI & Computational Drug Design

🎓 Research Master's in Bioinformatics — Bio Data Analytics, University of Manouba, Tunisia
🔬 Focused on quantum machine learning, genomics data analysis, and in-silico drug design
🌍 Open to PhD programs and junior bioinformatics roles internationally

🧬 About Me

I build computational pipelines that bridge biological data and machine learning — from raw genomic sequences to 3D protein structures and drug-binding predictions. My work spans both classical and quantum approaches to biomedical problems.

🧠 Quantum ML with PennyLane — angular, amplitude & hybrid encoding strategies
💊 Structural bioinformatics — homology modeling, molecular docking, MD simulation
📊 Genomics — gene expression analysis, RNA-seq, GTEx data visualization
🐍 Primary stack: Python, R, Bash

📂 Projects

🔬 Structural Bioinformatics & Drug Design

Project	Description	Tools
homology-modeling-alpha-amylase	Comparative structural modeling of α-amylase from P. haloplanktis (Antarctic bacterium) — full pipeline from template search to quality validation (RMSD 0.728 Å)	MODELLER · PyMOL · SWISS-MODEL · ProSA
molecular-docking-vina	Molecular docking of Kaempferol & Myricetin flavonoids against a target receptor — binding affinity prediction with AutoDock Vina	AutoDock Vina · PyMOL · Bash
molecular-dynamics-analysis	MD trajectory analysis — RMSD, RMSF, radius of gyration, PCA, thermodynamic properties	pytraj · NumPy · Matplotlib · AMBER

🤖 Machine Learning & AI

Project	Description	Tools
breast-cancer-ml-classification	Classical ML pipeline for breast cancer diagnosis — Random Forest, Gradient Boosting, Neural Network, Ensemble voting on the Wisconsin dataset	scikit-learn · TensorFlow · Keras
dermaai-ph2	Hybrid CNN (MobileNetV2 + VGG16) + Random Forest for dermoscopic skin lesion classification on the PH2 dataset	TensorFlow · Keras · scikit-learn