Jorge Perez De Acha Chavez
About Jorge Perez De Acha Chavez
Jorge Perez De Acha Chavez is an Associate Computational Biologist at the Broad Institute of MIT and Harvard, specializing in the intersection of computer engineering and biology. He holds a Bachelor of Science in Computer Engineering from Instituto Tecnológico Autónomo de México and has experience in bioinformatics research.
Work at Broad Institute
Jorge Perez De Acha Chavez has been serving as an Associate Computational Biologist at the Broad Institute of MIT and Harvard since 2018. In this role, he applies his expertise in computational biology to support various research initiatives. His work involves utilizing programming languages and computational tools to analyze biological data, contributing to advancements in the field.
Education and Expertise
Jorge completed his Bachelor of Science (B.S.) in Computer Engineering at Instituto Tecnológico Autónomo de México from 2012 to 2016. He also attended Walnut Hill School for the Arts, where he studied music and earned a High School Diploma from 2008 to 2011. His educational background provides him with a strong foundation in both engineering and the arts, enhancing his multidisciplinary approach to research.
Background in Computational Biology
Jorge transitioned from a background in computer engineering to a focus on biology, which reflects a multidisciplinary approach to his research. He possesses a unique combination of skills in programming languages such as Python, Bash, and R, which are essential for computational biology. His strong background in Linux further supports his ability to manage computational biology workflows effectively.
Previous Experience at Cold Spring Harbor Laboratory
Before joining the Broad Institute, Jorge worked as a Bioinformatics Researcher at Cold Spring Harbor Laboratory from 2017 to 2018. In this position, he contributed to bioinformatics projects, leveraging his skills in computational analysis to support biological research. This experience helped him develop a deeper understanding of the intersection between biology and computational methods.