José Carlos Gómez-Tamayo
I work at the intersection of computational chemistry, structural biology and machine learning, where I aim to bring co-folding models into practical use for structure-based drug discovery. With more than five years of experience supporting discovery portfolios and developing new technologies, I help translate structural and bioactivity data into actionable insights, enabling projects to progress from hit identification to lead optimization. This includes contributions to more than 10 projects across multiple therapeutic areas. My work is centered on co-folding, with a focus on pocket and binding mode elucidation, scalable virtual screening, fine-tuning and architectural improvements. I focus on making these models reliable and directly useful for decision-making in the drug discovery pipeline. I actively collaborate with the broader scientific community through initiatives such as OpenFold and AISB, contributing to the development and adoption of next-generation modelling approaches in drug discovery