The visionaries behind Nomosis - combining expertise in machine learning operations and computational biochemistry to revolutionize molecular intelligence.
Senior Machine Learning Engineer & Computational Chemist | CTO & Co-Founder at Nomosis
Senior Machine Learning Engineer and Computational Chemist with a strong foundation in mathematics and physics. I specialize in the end-to-end design and deployment of AI systems: from experimental design to creating scalable, maintainable, and observable solutions in the cloud and on premises, with a focus on explainable AI for scientific applications. My expertise lies in drug discovery, integrating machine learning models with computational chemistry methods such as molecular dynamics, Free Energy Perturbation (FEP), and structure prediction to accelerate pharmaceutical design and development.
"I believe the future of science lies in seamlessly integrating AI with research workflows. At Nomosis, we're not just building tools – we're crafting an intelligent ecosystem that amplifies human creativity."
Computational Biochemist | CSO & Co-Founder at Nomosis
PhD in Biochemistry from Universidad Autónoma de Madrid with specialized focus on protein folding dynamics and molecular interactions. 8+ years in computational biochemistry research, leading molecular dynamics simulation projects and drug discovery initiatives. Published researcher in structural biology with expertise in protein-ligand interactions, GROMACS simulations, and high-performance computing applications in life sciences.
"Every molecule tells a story, and AI helps us listen to their secrets with unprecedented clarity. I'm fascinated by how computational power can unveil the hidden dance of atoms and transform our understanding of life itself."
Join us in building the future of molecular intelligence. Get in touch to learn how Nomosis can accelerate your discoveries.