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
  • H.O. Hartley Award, Texas A&M University, 2022
  • Parzen Graduate Research Fellowship, Texas A&M University, 2009
  • National Merit Scholar, Texas A&M University, 2003
Professional Affiliations
  • American Statistical Association (ASA)
  • ASA Risk Analysis Section – Publications Officer (2024-2025)
  • Institute of Mathematical Statistics (IMS)
  • Society for Risk Analysis (SRA)
  • International Statistical Engineering Association (ISEA)
  • Conference on Data Analysis – Organizing Committee (2013-2017)

Dr. Lennox has more than fifteen years of experience in using statistics, machine learning, and operations research techniques for scientific and engineering challenges. She has applied data science in regulatory contexts, including environmental, automotive, and consumer product projects, and has testified in a variety of litigation matters, including personal injury, product liability, intellectual property, fair lending, and class action cases.  

Dr. Lennox's career has included data science applications in the aerospace, construction, finance, motor vehicle, and oil and gas industries, as well as in public infrastructure, bioinformatics, software development, materials science, 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. Her expertise includes data modeling, Bayesian statistics, experimental design, and risk assessment in high-consequence environments. Dr. Lennox also studies methods to assess the benefits of emerging automotive technologies, including advanced driver assistance systems (ADAS) and automated driving. 

After completing her Ph.D. in statistics, Dr. Lennox joined Lawrence Livermore National Laboratory (LLNL) where she co-founded and led the LLNL statistical consulting service. In addition to serving as a consultant on many projects, she led multidisciplinary efforts in risk assessment and radiation detection.  After leaving LLNL, Dr. Lennox worked as a Principal Data Scientist for GE Aviation and multiple startups targeting artificial intelligence (AI) applications in industry. Dr. Lennox developed models and other analytics tools to support increased efficiency in manufacturing and product development, and she led development efforts for software applications to support both aerospace and chemical manufacturing. 

Dr. Lennox is passionate about statistics and AI education and has presented a series of lectures for technical and lay audiences on these topics.