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Youli Mao

Youli Mao, PhD, is a Data Scientist at Halliburton Landmark, focusing on solving technical challenges in the oil and gas industry. He developed several machine learning and deep learning applications in seismic interpretation and drilling optimization, has four US patent applications, and over 10 peer-reviewed technical papers. An SEG and SPE member, he held technical editor positions for several journals, including the Journal of Petroleum Science and Engineering. Youli has a Master’s in Geophysics and Seismology a PhD in Applied Mathematics, both from Texas A&M University.


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