Santiago Souza Nava santi-souza

👋 Hi, I’m Santiago Souza Nava (@santi-souza)

👀 What I'm interested in:

I specialize in the intersection of Bioinformatics, Biostatistics, and Computational Biology, with a focus on machine learning applications to biological data. I’m especially enthusiastic about using AI and machine learning to analyze complex omics data and predict disease outcomes in healthcare. I am looking to contribute to multidisciplinary teams and help develop reproducible research pipelines for cutting-edge biological research.

🌱 Education:

MSc in Bioinformatics and Biostatistics | CEMP
- Thesis: "Stroke: Statistical Analysis, Exploratory Data Analysis (EDA), and Machine Learning Prediction"
- This project focused on applying statistical methods and machine learning models (including logistic regression, random forests, and gradient boosting) to predict stroke based on complex datasets.
BSc in Biotechnology Engineering | ORT University
- Thesis: "Molecular Detection of Lethal White Overo Syndrome and Congenital Stationary Night Blindness in Horses"
- I utilized Sanger sequencing and capillary electrophoresis to identify genetic mutations in horses, contributing to disease diagnostics in veterinary medicine.

💼 Experience: Bioinformatics and Biostatistics:

Conducted Exploratory Data Analysis (EDA) on healthcare datasets (stroke prediction).
Built predictive models using machine learning algorithms (logistic regression, random forests, gradient boosting).
Knowledge in analyzing Omics data (RNA-Seq, WGS) for biological insights.
Proficient in genomic analysis tools like FASTQC, HISAT2, GATK, and DESeq2.

Programming Skills:

Bash/Unix
R (Data Analysis, Statistics, Machine Learning)
Python (Bioinformatics, Data Science, Machine Learning)
SQL (Data Management, Querying)
Familiar with bioinformatics pipelines and tools for high-throughput sequencing analysis.

📫 How to reach me:

Provide feedback