🎓 Master's student in Bioinformatics at Alma Mater Studiorum – Università di Bologna
🔬 Passionate about computational biology, machine learning, and genomics
📍 Modena, Italy
I work at the intersection of biology and data science — building machine learning pipelines, analyzing genomic data, and applying statistical methods to biological problems. My projects span from classical ML to structural bioinformatics and epigenomics.
Languages
ML & Data Science
Bioinformatics
Tools
Profile Hidden Markov Models comparing sequence-based vs. structure-based approaches for Kunitz domain detection. Structure-based HMM achieved peak MCC of 0.997.
Python HMMER Bioinformatics Structural Biology
Differential DNA methylation analysis of CpG sites between healthy and diseased individuals using Illumina HumanMethylation450k array data.
R Bioconductor minfi Epigenomics
ML regression pipeline comparing Linear Regression, k-NN, and Random Forest with scikit-learn pipelines and GridSearchCV. Built for an Applied Machine Learning course.
Python scikit-learn Machine Learning
- 📧 mahan.balooei@studio.unibo.it
- 🔬 ORCID: 0009-0006-5358-0784
- 🏛️ Alma Mater Studiorum – Università di Bologna