Shohreh Amini, PhD, is a Data Science manager at the Big Data Center of Excellence at Halliburton Landmark, responsible for developing novel solutions for oil and gas problems using data analytics and machine learning techniques.

She has more than 10 years of experience in application of artificial intelligence and machine learning techniques in reservoir modeling, production foresting, anomaly detection, proxy modeling, etc. She has previously worked as a reservoir engineer responsible for field development studies and as a research fellow focusing on unconventional resources. She is an SPE member and currently serves as a board member of the SPE Petroleum Data Driven Analytics (PD2A) technical section.

Shohreh has a Masters and a PhD in Petroleum Engineering from Delft University of Technology in The Netherlands and West Virginia University in the US, respectively.