Victor Guallar
About Victor Guallar
Victor Guallar is an ICREA Professor and Group Leader at the Barcelona Supercomputing Center, where he has worked since 2006. He also serves as Chief Scientific Officer at Nostrum Biodiscovery and specializes in molecular modeling and computational methods in the Life Sciences Department.
Work at Barcelona Supercomputing Center
Victor Guallar has been working at the Barcelona Supercomputing Center since 2006. He holds the position of ICREA Professor and Group Leader within the institution. His work primarily focuses on molecular modeling and computational methods, contributing to advancements in the field of life sciences. Guallar leads the Electronic and Atomic Protein Modeling (EAPM) group, which specializes in the development and application of computational techniques to study protein structures and functions.
Current Role at Nostrum Biodiscovery
Since 2020, Victor Guallar has served as the Chief Scientific Officer at Nostrum Biodiscovery (NBD). In this role, he applies his expertise in biochemistry and biophysics to drive scientific initiatives and research projects within the organization. His leadership in this position emphasizes the integration of computational methods in drug discovery and development, aligning with his background in molecular modeling.
Education and Expertise
Victor Guallar has an extensive educational background in biochemistry and biophysics. He studied at several prestigious institutions, including UAB, UC Berkeley, and Columbia University. His academic journey culminated in the achievement of theoretical chemistry. This diverse educational experience has equipped him with a strong foundation in the principles of life sciences, which he applies in his current research and professional roles.
Previous Experience at Columbia University
Before his tenure at the Barcelona Supercomputing Center, Victor Guallar worked as a postdoctoral researcher at Columbia University in the City of New York from 2000 to 2003. During this three-year period, he engaged in research that contributed to his expertise in molecular modeling and computational methods, further shaping his career in the life sciences.