Physicist | Computational Chemist | Data Scientist
I am a Ph.D. in Theoretical Chemistry from the University of Campinas (UNICAMP) with a strong background in Computational Physics. My expertise lies at the intersection of molecular simulations, high-performance computing, and machine learning applied to biological systems.
I specialize in decoding the complexity of enzymatic systems (Glycosyl Hydrolases) through Molecular Dynamics (MD), free energy landscapes, and network analysis. Currently, I am bridging the gap between theoretical chemistry and industry by applying Machine Learning to pharmaceutical formulation and excipient intelligence.
| Category | Technologies |
|---|---|
| Programming | Python (Expert), Bash, Julia, R, C |
| Data Science | Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras |
| Simulation & HPC | AMBER, NAMD, CUDA, SLURM |
| Cheminformatics | RDKit, VMD, PyMOL |
| DevOps & Tools | Git, Docker, Linux (Ubuntu/CentOS), LaTeX |
- Pharmaceutical Intelligence: Building predictive models for drug-excipient compatibility and formulation optimization.
- Enzyme Engineering: Using MD simulations to study denaturation, binding interactions, and catalytic mechanisms.
- HPC Optimization: Implementing GPU-accelerated workflows and parallel computing for large-scale molecular systems.
- Sports Analytics: Applying data science to Baseball metrics (Sabermetrics).
- 🏃 Amateur Runner: Consistently hitting 5km and 10km goals.
- ⚾ Baseball Enthusiast: Sabermetrics fan. Proud supporter of Tiburones de La Guaira 🦈 and Pittsburgh Pirates 🏴☠️.
- 🎨 Creative Side: I enjoy drawing as a way to balance my analytical work.
"Using physics and data to solve complex molecular puzzles."