Daniel Lee
About Daniel Lee
Title: Staff Data Scientist
Daniel Lee holds the position of Staff Data Scientist. His role involves significant contributions to the field of data science, particularly in developing and implementing statistical models across various domains. His expertise extends to projects in professional sports, electoral vote analysis, clinical trials, retail pricing, music industry analytics, and defense sectors.
Co-creator of Stan
Daniel Lee co-created Stan, an open-source statistical modeling language designed for advanced statistical computation. Stan is widely used for Bayesian statistical inference, allowing users to specify complex statistical models and perform full Bayesian inference through MCMC sampling, variational inference, and optimization. This contribution has helped advance statistical analysis and model development across multiple industries.
Developed Models for Various Industries
Daniel Lee has developed statistical models for a range of applications, including professional sports teams, predicting vote shares in US elections, clinical trials for cancer and rare diseases, assessing retail price sensitivity, analyzing music streaming data, and data fusion for the US Navy. His work involves using statistical tools to derive actionable insights from complex datasets, thereby aiding decision-making and strategic planning in these sectors.
Education: B.S. from MIT and M.A.S. from Cambridge
Daniel Lee holds a Bachelor of Science degree from the Massachusetts Institute of Technology (MIT) and a Master of Advanced Study (M.A.S.) from Cambridge University. His educational background in these prestigious institutions has equipped him with a solid foundation in theoretical and applied statistics, contributing to his proficiency in data science and statistical modeling.
Personal Background
Daniel Lee resides in New York City with his wife and son. His life in the bustling metropolis reflects a balance between his professional commitments and personal life. Living in NYC provides him with access to a vibrant community and numerous professional opportunities within the data science industry.