Qing Tao

Qing Tao is an accomplished data scientist and engineer with extensive experience in the energy and technology sectors. Beginning as an intern at the Institute of Physics, Chinese Academy of Sciences, and later at ConocoPhillips, Qing cultivated a strong foundation in engineering and research roles. Notably, during tenure at Texas A&M University, contributions as a research assistant laid the groundwork for advanced studies in petroleum engineering, earning a Ph.D. from the University of Texas at Austin. Qing's career includes significant roles at ConocoPhillips, where responsibilities included reservoir engineering and data science from 2012 to 2022, and at Meta, where efforts focused on infrastructure data centers and machine learning engineering in ads identity modeling from 2022 onward.