Jingwen Zheng

Jingwen Zheng, PhD, has a diverse work experience spanning various roles and industries. Starting in 2020, they served as a Principal Data Scientist at Enverus, leading a team focused on building LLM workflows for the energy industry using generative AI techniques. Prior to this, from 2017 to 2020, they worked at RS Energy Group as a VP of Data Science, where they were involved in predictive analytics and product development, leveraging ML/AI techniques to solve industry challenges. Additionally, they held roles at the University of Alberta and USC Viterbi School of Engineering, where they conducted research and developed expertise in AI techniques applied to the oil and gas industry. Overall, Jingwen Zheng has a comprehensive background in data science and AI, particularly in the energy sector.

Jingwen Zheng, PhD, has a diverse education history in the field of Petroleum Engineering. Jingwen obtained their Bachelor's degree in Oil & Gas Storage and Transportation from Beijing Institute of Petrochemical Technology in 2011. Jingwen then pursued their Master's degree in Petroleum Engineering at the University of Southern California in 2012-2013. Later, they completed their Doctor of Philosophy (Ph.D.) in Petroleum Engineering at the University of Alberta from 2014-2019. Zheng also holds additional certifications in Machine Learning and Object Oriented Programming in Java from Coursera, obtained in 2016.