Elynn Chen got her PhD in Statistics in 2018. Her PhD thesis focuses on spectral method and matrix/tensor factorization on high- and multi-dimensional data. Her research interests generally lie in the broad area of statistical learning theory, machine learning and optimization. At OpenAI, she works on deep RL and its applications to health care and business management.