Dante received his B.S in Engineering Physics from Tecnológico de Monterrey. He has worked on the development of data-driven products for decision making in financial institutions and the real estate industry. He is currently pursuing his master's degree in Energy Resources Engineering, focusing on the application of machine-learning methodologies in the energy industry.

Current Research and Scholarly Interests

His current research focuses in the use of machine-learning models for automatic interpretation of temperature profiles in Oil & Gas wells.