KAUST Research Conference

Computational Advances in Structural Biology

May 1 - 3, 2023 Auditorium between building 4 & 5

Ruben Sanchez-Garcia

Computational Biologist, University of Oxford, UK

Biography

I am a computational biologist specializing in the development of cutting-edge methods for structural biology, with a particular focus on cryo-electron microscopy (cryo-EM) for drug discovery. I hold a BSc degree in Biotechnology, another in Computer Science, and an MSc in Biophysics.

My PhD research at the Spanish National Center of Biotechnology (CSIC) and the Autonomous University of Madrid (UAM), under the guidance of Professor Jose Maria Carazo and Dr Joan Segura, was dedicated to developing machine learning algorithms for structural biology, including BIPSPI and DeepEMhancer.

I joined the Oxford Protein Informatics Group in 2020, where I collaborated with XChem on AI algorithms for fragment-based drug discovery for nearly two years. Currently, I am focused on enhancing cryo-EM algorithms to accelerate the drug discovery process. My work in computational biology aims to bridge the gap between advanced technology and critical biological challenges, with the ultimate goal of developing novel drugs to improve human health.

All sessions by Ruben Sanchez-Garcia

Promises and biases in Deep Learning algorithms for early-stage drug discovery
02:30 PM
Ruben Sanchez-Garcia

Computational Biologist, University of Oxford, UK

Details