Biostatistics-oriented professional with a strong foundation in advanced mathematics and statistics, supported by BSc and MSc degrees in Mathematics. Currently pursuing a PhD in Electrical Engineering with a focus on statistical signal processing and biostatistical modeling. Experienced in advanced probabilistic methods such as Bayesian inference and Markov Chain Monte Carlo (MCMC) and applied statistical techniques for data analysis, including regression modeling, hypothesis testing and a range of parametric and non-parametric methods. Skilled in R, Python, and statistical software, with published research on statistical modeling applied to biomedical data.