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Daniel Epstein has a solid background in data science and research. Daniel is currently working as a Data Scientist at Haus since 2023. Previously, they served as a Senior Data Scientist at Korn Ferry from 2021 to 2023, where they developed a recommendation engine and created a sales prediction model.

From 2017 to 2021, Daniel worked at Riviera Partners as a Data Scientist, where they designed and deployed a matching and recommendation engine. Daniel also utilized reinforcement learning and transfer learning to adapt the engine to changing user behavior and trained NLP classification models with high precision and recall.

Before that, in 2017, they were a Data Science Fellow at NYC Data Science Academy, where they studied machine learning and contributed to a recommendation engine with NLP for real-time sentiment analysis.

Daniel's earlier work experience includes being a Graduate Research Assistant at the University of Utah from 2012 to 2016, conducting neuroscience research, data analysis, and FMRI and EEG analysis. Daniel also worked as a Research Assistant at the University of Southern California from 2010 to 2011.

Daniel Epstein earned a Doctor of Philosophy - PhD degree in Neuroscience from the University of Utah from 2011 to 2017. In 2016, they attended a summer course titled "NCAN summer course" where they studied Adaptive Neurotechnology. Prior to that, from 2006 to 2011, they obtained a Bachelor's degree in Neuroscience from the University of Southern California. The provided information does not specify the start and end years for their time at the University of Southern California before 2006 or any degree obtained during that period. Furthermore, Daniel Epstein obtained a certification in Machine Learning from Triplebyte in August 2022.