James "Ben" Brown
Ben Brown, Ph.D., is a statistical biologist with diverse interests, ranging from ecotoxicology to developmental biology. A common theme uniting his work is the study of gene regulation. His lab at the Lawrence Berkeley National Laboratory (LBNL) develops statistical machine learning tools to elucidate regulation in basal and ecologically adverse conditions.
Ben completed a BA in Mathematics at the University of California Santa Cruz, followed by a Ph.D. in Applied Science and Technology at UC Berkeley in 2009. During his postdoctoral work, he won a K99 award from NHGRI.
In 2013, Ben joined the LBNL Life Sciences Division, where he is building a program focused on the development of tools for the integrative analysis of large, multi-scale biological datasets. In 2015, he joined the UCB Statistics faculty as an adjunct to further his work on ensemble models. In the modENCODE Consortium, he led analysis for the fly transcription consortium (2011-2014). He now leads integrative analysis for the Consortium for Environmental Omics and Toxicology. He is involved in the Microbes to Biomes Initiative (http://m2b.lbl.gov/), leading the analysis for a project aimed at understanding host-microbiome interactions in adaption to environmental challenges.