Paul George is a highly accomplished and experienced senior machine learning engineer at Opendoor with an impressive background in electrical and computer engineering. He received his PhD from Cornell University, where he conducted extensive research on millimeter wave electromagnetic radiation and its interaction with low-dimensional solid-state systems. Paul then went on to work for Palantir Technologies, where he utilized his expertise in data integration and fraud prevention to solve complex business problems.

Additionally, Paul is a co-founder and engineer at SolveBio, where he focused on building the backend data import infrastructure and several applications for genetic variation classification and analysis. He also worked as a software engineer at Meson Capital Partners LLC, where he built data infrastructure and backtesting systems, and conducted data science/ML research for investing.

Aside from his professional achievements, Paul spends his free time reading books, particularly those related to physics, riding bikes, and skiing.