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Dave Zes is a statistician and lecturer at UCLA, employing strategic thinking to create novel algorithmic solutions for unique problems. He is passionate about solving problems statistically and implementing technology for real-time use. His work includes the development of the world’s online scoring algorithm for Thurstonian forced-choice psychometric personality assessments, as well as optimizing word clouds for infographics and benchmarking psychometric profiles. He has been awarded patents and is currently involved in several avocational projects, collaborating with sports medicine experts to forecast future injury risks for athletes. Additionally, Dave is dedicated to instilling an appreciation of statistical scientific methods in his students. During his time at UCLA, he has greatly enjoyed the mentorship opportunities provided through projects such as the General Education Foundation Scientific Inquiry and the Peer-Assisted Reflections on Student Learning courses. Outside of academia, Dave enjoys cycling around Long Beach and appreciates djent-metal music.
UCLA • Los Angeles, CA
Lecturer in the field of statistics, focusing on algorithmic solutions and statistical methods.
Department of Economics admits primarily for the PhD program.