Elizabeth Hou, PhD, is a Lead Research Scientist at Systems & Technology Research, specializing in machine learning research since 2019. Prior to this role, Elizabeth was affiliated with the University of Michigan from 2013 to 2019, holding positions as a DOE NNSA Consortium of Verification Technology Fellow and Graduate Student Instructor. Additionally, Elizabeth worked as a Research Scientist at Los Alamos National Laboratory from 2015 to 2018, and as a Quantitative Financial Analyst at Gifford Fong Associates from 2012 to 2013. Early in Elizabeth's career, a role as a Computational Research Assistant was undertaken at the University of California, San Francisco, in 2011-2012. Elizabeth holds a Doctor of Philosophy and a Master’s Degree in Electrical and Computer Engineering and Statistics, respectively, from the University of Michigan, as well as a Bachelor’s Degree in Statistics from the University of California, Berkeley.
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