Sabadell, Catalonia, Spain
As a Statistical Programmer I at AstraZeneca, I apply my passion and skills for data analysis, statistical programming, and clinical research to support the development of innovative therapies. By utilizing programming languages such as SAS and R, I contribute to the design, analysis, and reporting of clinical trials, helping to drive impactful decisions in drug development and patient care. I have pursued two independent bachelor's degrees in bioinformatics at ESCI-UPF and biotechnology at UAB, where I learned the theoretical and practical aspects of these interdisciplinary fields. My goal is to exploit my full potential and contribute to the advancement of biomedical research and innovation.
Hunting Molecular Glues: The quest for new therapeutic agents is a critical, ongoing pursuit in the biomedical field. Molecular glues orchestrate the protein-protein interactions between the protein of interest (POI) and the E3 ligase. This mechanism induces the ubiquitination of the POI and its subsequent proteasomal destruction. This mechanism of action introduces new protein-protein contacts and allows the degradation of targets that do not contain clear binding pockets and are considered undruggable. Recent advancements in computational approaches have paved the way for high-throughput virtual screening of large molecular libraries, such as the Enamine REAL 36B. The coupling of these screening methodologies with sophisticated artificial intelligence (AI) algorithms allows for unprecedented efficiency and precision in drug discovery. This project aims to develop Molecular Modeling and AI tools to identify novel Degrader Molecular Glues, that outperform current candidates, from the Enamine REAL 36B library of a given protein of interest or target.
I carried out my internship at the IJC with the Bioinformatics Unit under Angelika Merkel and in collaboration with Manel Esteller’s Group for Cancer Epigenetics. We provided bioinformatic analysis services and software development for IJC researchers.