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Youli Mao

Dr. Youli Mao is a Data Scientist in Halliburton, focusing on solving technical challenges in the Oil & Gas industry. He has developed several machine learning & deep learning applications in the field of seismic interpretation and drilling optimization. He holds a PhD in Applied Mathematics from Texas A&M University, and a Master of Science Degree in Geophysics and Seismology also from Texas A&M University. Dr. Mao holds 4 US patent applications and more than 10 peer-reviewed technical papers. Dr. Mao is a SEG & SPE member and holds technical editor positions for 10+ top journals including Nature-Scientific Reports, Journal of Petroleum Science and Engineering, Journal of Nature Gas Science and Engineering, etc.

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