Hector Klie is an experienced computational and data scientist with a passion
to develop innovative physics- and data-driven solutions for a wide range of engineering
and geoscientific applications in Oil & Gas. Dr. Klie is currently Data Science Expert and CEO of
DeepCast.ai and has recently been appointed as Adjunct Professor at the Department of Computational and Applied Mathematics (CAAM) at Rice University.
Before his current positions, Dr. Klie was Director of Enterprise Data Solutions and Data Science Technical Lead at
Sanchez Oil & Gas Corporation (2016-2017). He worked as Staff
Reservoir Engineer and Lead Data Scientist at ConocoPhillips (2008-2016). He was
previously Associate Director and Senior Research Associate at the Center for
Subsurface Modeling in The University of Texas at Austin (2003-2008). He spent his
first 14 years of professional career working for PDVSA-Intevep (1989-2003),
the research and technological branch of the Venezuelan oil industry. During a
span of almost 30 years, Dr. Klie has been involved in numerous
multi-disciplinary projects and published over 80 papers in the fields of
Reservoir Engineering, Geophysics, Applied Mathematics and Computational
Science. He has made valuable contributions in the areas of sparse linear
solvers, stochastic optimization, uncertainty quantification, high performance
computing, reduced order modeling and machine learning. He has chaired multiple
technical venues at SPE, SIAM, EAGE and SEG and has patented 5 inventions. Dr.
Klie completed his Ph.D. in Computational Science and Engineering at the Dept.
of Computational and Applied Mathematics at Rice University, 1996, and a Master
Degree in Computer Science at the Simon Bolivar University, Venezuela, 1991.