Maxwell Brown
About Maxwell Brown
Maxwell Brown is an Associate Computational Biologist at the Broad Institute of MIT and Harvard, specializing in transcriptomic data analysis and user support for computational biology tools. He holds a Master of Science in Bioinformatics from Boston University and a Bachelor's degree in Biology from Connecticut College.
Work at Broad Institute
Maxwell Brown has been serving as an Associate Computational Biologist at the Broad Institute of MIT and Harvard since 2018. In this role, he focuses on analyzing transcriptomic data using Trinity CTAT, contributing to advancements in cancer biology. His responsibilities include integrating software into various workflows, such as command-line interfaces and cloud computing systems, to enhance user experience. Brown actively engages with the Trinity CTAT user community through online forums and workshops, providing support and facilitating the understanding of complex computational biology tools.
Education and Expertise
Maxwell Brown holds a Master of Science (MS) in Bioinformatics from Boston University, where he studied from 2017 to 2018. Prior to that, he earned a Bachelor's degree in Biology from Connecticut College, completing his studies from 2011 to 2015. His educational background equips him with a strong foundation in biological sciences and computational techniques, which he applies in his current role at the Broad Institute.
Background in Research
Before joining the Broad Institute, Maxwell Brown gained research experience as a Research Assistant at Northeastern University in 2016, where he worked for eight months. He also conducted an Independent Bioinformatics Study at Connecticut College in 2015 for four months. Additionally, he served as a Graduate Teaching Assistant at Boston University College of Engineering in 2018 for five months, further enhancing his research and teaching skills.
Technical Skills and Contributions
Maxwell Brown specializes in benchmarking the accuracy of software and analysis pipelines using reference data sets to ensure high-quality results. He develops tutorials and example data sets to aid users in navigating complex computational biology tools. His ability to integrate software into diverse workflows demonstrates his technical proficiency and commitment to improving user experience in computational biology.