Academic Credentials
  • Ph.D., Computer Science and Engineering, University of Notre Dame, 2021
  • M.S., Computer Science and Engineering, University of Notre Dame, 2019
  • B.S., Computer Science, University of Arkansas, 2015
Academic Appointments
  • Teaching Assistant: Artificial Intelligence Education, Apple Inc, 2019-2020
  • Graduate Student Researcher, Department of Computer Science, University of Notre Dame, 2015-2020
  • Teaching Assistant: Operating Systems, University of Notre Dame, 2017
  • Teaching Assistant: Ethics in Engineering, University of Notre Dame, 2016
  • Teaching Assistant: Data Science, University of Notre Dame, 2015
Professional Honors
  • National Science Foundation Graduate Research Fellow, 2016-2020
  • GEM Engineering Fellow 2015-2020
  • Code2040 Fellow, 2016-2017
  • Google Scholar, 2016
  • Xerox Scholar, 2016
  • Donaghey Scholars, University of Arkansas at Little Rock, 2012
Professional Affiliations
  • National Society of Black Engineers (NSBE)
  • Association for Computing Machinery (ACM)
  • Institute for Electrical and Electronics Engineers (IEEE)

Dr Jermaine Marshall is a Data Scientist based in Exponent's Menlo Park, California office. He specializes in advanced data analytics and possesses graduate level and industry experience in data science and machine learning.  

Dr. Marshall's has significant expertise with Python programming and is also proficient with SQL while possessing additional experience with Java and Javascript. Dr. Marshall has worked directly with deploying machine learning models and interface development for those models. Some of his work in machine learning has also been published in peer-reviewed conferences particularly in the area of reliable information recommendations.

Dr. Marshall's graduate-level research focused on developing reliable information systems for consumers to counteract the propensity for social platforms to provide an opportunity for the spread of misinformation. Dr. Marshall also has industry experience in software engineering having completed multiple projects specifically focused on frontend development.