Academic Credentials
  • Ph.D., Statistics, Texas A&M University, 2010
  • M.S., Statistics, Texas A&M University, 2007
  • B.S., Applied Mathematics, Texas A&M University, 2005
Professional Honors
  • Parzen Graduate Research Fellowship, Texas A&M University, 2009
  • National Merit Scholar, Texas A&M University, 2003
Professional Affiliations
  • American Statistical Association (ASA)
  • Institute of Mathematical Statistics (IMS)
  • International Statistical Engineering Association (ISEA)
  • Conference on Data Analysis – Organizing Committee (2013-2017)
  • Society for Risk Analysis (SRA)

Dr. Lennox has more than ten years of experience applying statistics, machine learning, and operations research techniques to scientific and engineering problems. Her expertise includes experimental design, analysis of computer experiments, and risk assessment in high consequence environments.  

Dr. Lennox's career has included data science applications in aerospace, automotive engineering, chemical engineering, materials science, process engineering, oil and gas, public infrastructure, bioinformatics, software development, and manufacturing. She has worked with many varieties of data ranging from large publicly available datasets to small scale designed experiments and specializes in combining disparate data types and sources to solve complex problems. Dr. Lennox's recent professional experience has focused on design of artificial intelligence (AI) systems intended to act in partnership with people. Since joining Exponent, she has been studying safety benefits of advanced driver assistance systems (ADAS) and automated driving.

After completing her PhD in statistics, Dr. Lennox joined Lawrence Livermore National Laboratory (LLNL) where she worked on a variety of scientific and engineering problems, with a research emphasis on design and analysis of computer experiments (DACE), Bayesian statistics, and nonparametric statistics. She co-founded and led the LLNL statistical consulting service, which gave her exposure to diverse areas across the lab including medical surveillance, computer vision, and radiation detection. In addition to serving as a consultant on many projects, she led multidisciplinary efforts in risk assessment and radiation detection.

After leaving the laboratory, Dr. Lennox worked as a Principal Data Scientist for GE Aviation and multiple startups targeting AI applications in industry. Dr. Lennox developed models and other analytics tools to support increased efficiency in manufacturing and materials science and led development efforts for software applications to support both aerospace and chemical manufacturing.

Dr. Lennox is passionate about statistics and AI education and has created a series of videos for engineers and lay audiences on these topics.