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Daniel Lee has a diverse work experience in the field of data science and machine learning. Daniel started their career as a Research Assistant at Carnegie Mellon University in 2015, where they worked until 2017. In 2018, they interned as a Data Scientist at the U.S. Securities and Exchange Commission.

In 2019, they joined Quantium as a Data Scientist and worked until 2021. During this time, they gained valuable experience in data analysis and modeling.

From 2021 to 2023, Daniel worked at Olive as a Data Scientist, where they contributed to data-driven projects and utilized their skills in statistical analysis.

Their most recent position was as the Founding Machine Learning Engineer at Ethermed, starting in 2023. In this role, they played a key role in developing machine learning algorithms and technologies. Overall, Daniel's work experience showcases their expertise in data science and machine learning in various industries.

Daniel Lee attended Carnegie Mellon University from 2014 to 2018, where they pursued a Bachelor of Science degree in Statistics and Machine Learning.