Deliver and present ML solutions to stakeholders at Shell’s business units and mentor junior researchers.o. Collaborate with academic partners to explore opportunities for applying cutting-edge AI solutions to help Shell’s business, including guiding two PhD candidates for thesis completions and publications, securing fundings, project proposal and management, and publications on renowned industrial journals and conferences.o. Develop ML models that involves self-supervised learning, discriminative learning, domain adaption, transfer learning, multi-modality modeling, deep generative AI, etc. for few-shot and zero-shot problems in Shell’s business.

Develop and provide deep learning, machine learning, and statistical solutions to Shell’s business units as a researcher.o. Develop and help deploy two deep-learning-based geophysical solutions to improve seismic processing and imaging efficiency and accuracy, resulting in more than 50% turn-around time reduction.o. Lead a cross-functional team of 6 researchers to develop innovative data-driven petrophysical solutions to reduce the operational cost and improve formation evaluation accuracy.

I serve as an associate editor for the Petrophysics journal, with a focus on data-driven petrophysics.

Work as a researcher with research scientists at BEGResearch Topics:1. Geophysical signal preprocessing and interpretation2. Production data analysis

Teaching the energy data analytics (innovation program) (undergrad class)

Provide digital solutions (deep learning) to reservoir engineering and geophysics teams at BP.

Work as research associate for UT Formation Evaluation Joint Industry Research Consortium, DiRECT Consortium, and STARR ConsortiumResearch Topics:1. Machine learning for large-scale model reduction (parameterization).2. Generative AI for the subsurface stochastic uncertainty modeling.3. Deep-learning-based geophysical/petrophysical interpretation and uncertainty quantification.4. well log, seismic data, and sedimentary dynamics integrated inversion and optimization.Advisor and co-advisors:o. Professor Carlos Torres-Verdin, Brian James Jennings Memorial Endowed Chair.o. Professor Michael Pyrcz, H.B. (Burt) Harkins, Jr. Professorship. o. Dr. Ian Duncan, Research Scientist at Bureau of Economic Geology.Research Interests:Machine learning- and deep learning-based signal and image analysis; Develop new machine learning and statistical methods for spatial and temporal data prediction; stochastic simulation for uncertainty quantification with generative AI and statistical methods.