Christopher Brown is an experienced data scientist, manager, and trainer with a background spanning educational assessment, microbiome analysis, research into federally funded awards, probabilistic data linkage, and numerous projects touching upon a diverse assortment of domains.
Brown is a member of the ARC Consulting Team and is ready to help researchers with machine learning, AI, and data engineering needs. He mentors and consults with students and researchers in using R, Python, Spark, SQL, ARC clusters, and data science tools. In addition to developing machine learning and data processing pipelines, he provides guidance and instruction in best practices for implementation. He has prepared instructional materials across several domains and programming languages. Modes of delivery included hands on and video instruction at in-person and virtual training workshops for audiences of varied skill levels. He has office hours at CoderSpaces from 1:30-3 pm ET on Wednesdays.
At the University of Michigan Medical School, he analyzed 16S rRNA sequencing data to aid in researching the role of the human microbiome in sickness and health. He has also developed analytic workflows using clinical data in sepsis, hyperoxia, and COVID-19. He created an R package to facilitate microbiome analysis workflows, and an SOP which formed the basis for presentations at two post-graduate courses at the American Thoracic Society’s 2021 and 2023 conferences.
While at the Institute for Research on Innovation and Science (IRIS) at the Institute for Social Research, he taught visualization, topic modeling, and essential Python skills at several NSF-funded capacity building workshops designed to enhance the data science capabilities of researchers in education and social science. He also created novel topic modeling workflows in Python using SciBERT.
Christopher earned a B.A. in history from Eastern Michigan University in 2008 and a Master of Applied Data Science from the University of Michigan, School of Information in 2022.
In his free time, he enjoys listening to and creating electronic music, learning about history, and spending time with his dog and girlfriend, often on walks or while watching bad movies.