I’m an undergraduate student in Molecular Sciences at the University of São Paulo (USP), a program where physics, chemistry, biology, math, and computation constantly overlap. It’s the kind of place where one day you’re modeling protein folding and the next you’re simulating a Markov chain, and that mix is exactly what I love.

I’m deeply fascinated by computation, statistics, and mathematical modeling. Lately, I’ve been shifting from a wet lab work toward applied computational science and quantitative modeling.

Outside the lab, I enjoy Tolkien, fantasy literature, RPGs, and board games, always chasing the quiet beauty of seemingly “useless” knowledge.

🧪 UV & Fe Microbial Resistance Analysis
Reproducible Python toolkit for microbial stress experiments, automates everything from CFU/mL computation to log-linear, bootstrap uncertainty and publication-ready figures. Originally developed to analyze my own experimental data at the Astrobiology Laboratory (IQ-USP), it was designed to be reusable for future assays, whether in our lab or by other researchers.

📚 Molecular Sciences Library
Open-source digital library by students, for students. Built with React, Express, SQLite, and Docker, managing book loans, virtual shelves, and notifications, live at bibliotecamoleculares.com. My classmate and I not only coded the platform but manually re-labeled and cataloged the entire physical collection.

• Probabilistic modeling and stochastic processes
• Computational statistics and data-driven inference
• Quantitative modeling & computational finance
• Learning new tools just for the fun of connecting the dots