Marisa Torres
About Marisa Torres
Marisa Torres is a Bioinformatics Group Leader with extensive experience in computational biology and drug discovery. She holds a Master's degree in Biomedical Informatics from Stanford University and has worked at Lawrence Livermore National Laboratory for over two decades.
Work at Lawrence Livermore National Laboratory
Marisa Torres has held multiple positions at Lawrence Livermore National Laboratory (LLNL) since 2002. She currently serves as the Bioinformatics Group Leader, a role she has occupied since 2018. In addition, she has worked as a Bioinformatics Developer and Bioinformatics Lead. Her responsibilities include leading projects that focus on computational models for drug discovery and developing tools for proteomics. She also served as a Principal Investigator for a year from 2018 to 2019 and worked as a Student Mentor from 2012 to 2017.
Education and Expertise
Marisa Torres has a strong educational background in the fields of biomedical informatics and molecular biology. She earned her Master of Science in Biomedical Informatics from Stanford University, where she studied from 2011 to 2013. Prior to that, she obtained a Bachelor of Arts in Molecular and Cell Biology with an emphasis in Neurobiology and Computer Science from the University of California, Berkeley, from 1999 to 2002. Additionally, she completed a Management Certificate at the University of the Pacific - Eberhardt School of Business in 2007.
Current Role at ATOM
Since 2017, Marisa Torres has been working as a Data Driven Modeler at ATOM (Accelerating Therapeutics for Opportunities in Medicine) in San Francisco, California. In this role, she focuses on developing computational models that facilitate drug discovery processes. Her work contributes to the consortium's mission of accelerating the development of new therapeutic options.
Research and Development Contributions
Marisa Torres has contributed to various research initiatives, particularly in the area of bioinformatics. She has worked on creating proteomics tools specifically designed for human forensic applications. Additionally, she built a database aimed at detecting genetic engineering, showcasing her expertise in integrating bioinformatics with practical applications in genetics and forensic science.