Víctor Sebastián Pérez

Víctor Sebastián Pérez

Associate Director, Computational Drug Design @ Exscientia

About Víctor Sebastián Pérez

Víctor Sebastián Pérez serves as the Associate Director of Computational Drug Design at Exscientia, where he has worked since 2023. He has extensive experience in drug design and medicinal chemistry, having held various roles in notable organizations including the University of Cambridge and VIDAL Group.

Work at Exscientia

Currently, Víctor Sebastián Pérez serves as the Associate Director of Computational Drug Design at Exscientia, a role he has held since 2023. Prior to this position, he worked as a Senior Computational Drug Designer from 2021 to 2023 and as a Computational Drug Designer from 2019 to 2021. His tenure at Exscientia has been marked by a focus on integrating artificial intelligence to improve productivity in small molecule drug discovery.

Education and Expertise

Víctor Sebastián Pérez has a background in medicinal and computational chemistry. He completed a Doctoral Researcher role at Consejo Superior de Investigaciones Científicas, where he focused on medicinal and computational chemistry from 2014 to 2019. He also engaged in predoctoral research at the University of Cambridge in 2018. His academic and professional experiences have equipped him with a strong foundation in drug design and development.

Background

Before joining Exscientia, Pérez held various positions that contributed to his expertise in drug design. He worked as a Drug Monographs Coordinator at VIDAL Group for five months in 2014. He also served as an Associate Pharmacist at Farmacias Trebol from 2014 to 2016. His early career included research roles at Universidad Nacional del Sur and Consejo Nacional de Investigaciones Científicas y Técnicas in Argentina.

Achievements

Pérez has a strong track record in developing medicinal chemistry projects across various therapeutic areas, including oncology, neurodegenerative diseases, and infectious diseases. He is passionate about discovering novel therapeutics through technology and has successfully applied AI to enhance drug discovery processes.

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