Hello! I'm Gabriel Monteiro da Silva, and I have over six years of experience in multiscale modeling for unraveling macromolecular dynamics fundamentals and their applications for drug discovery and personalized medicine.This journey has familiarized me with a collection of computational chemistry and biophysics methodologies, such as:- Molecular Dynamics Simulations- Enhanced Sampling methods for accelerating dynamics (Weighted Ensemble, Metadynamics, Replica exchange, Milestoning)- Virtual screening(with classical docking or with active learning approaches)- Free Energy of Binding measurements(receptor/ligands, protein/protein, and protein/peptide interactions), - Molecular modeling, lead optimization, and more.Recently, I have focused on developing and testing next-generation AI-driven methods for predicting protein conformational landscapes, reducing calculation times from months to mere hours! Click here to read more about my most recent development: https://www.brown.edu/news/2024-03-27/protein-modelsThis acceleration facilitates drug discovery and precision medicine by multiplying the number of potential drug targets and enriching our knowledge about their dynamical behavior, including changes that might arise from disease-associated variants.My primary research ambition is to keep exploring the intricacies of the natural world, employing and enhancing computational methodologies to study the biophysics of macromolecules with a profound impact on human health.You can explore samples of my work (and protein art!) at my personal website: gmdsilva.github.io/projects.htmlIf you'd like to know more about me, feel free to send a message! I am thrilled to talk about computational biophysics, generative art, science communication, and much more.Thank you for the visit!