• Dedicated in developing the best big data analytics solutions that create values for industry

• Lead data science team to scale up the drone-enabled roof damage insurance claim system,optimize speed, robustness and stability of the system in MATLAB, CUDA and C++, and expand functionalities by implementing cutting-edge data processing and analytics algorithms.

• One of the two key developers for the drone-enabled roof damage insurance claim system. The system implemented cutting-edge computer vision, specifically 3D reconstruction from images (SFM/PMVS/SURF), and deep learning, specifically convolutional neural network, and other denoising, clustering and data processing techniques;• One of the two key developers for the InstantChart reading application that enables digitizing well production data recorded on paper charts in seconds using cell phone cameras;• Developed predictive model utilizing deep neural networks for midstream pipeline anomalies detection during gas transport.

• Lead technical evaluations on non-condensable gas (NCG) and steam coinjection process for oil sand development;• Reservoir modeling, simulation analysis and optimization for potential pilot development;• Collaboration with Surmont Business Unit and partner TOTAL for technology alignment.

• Developed and implemented project economic modeling for field project design and optimization;• Developed and implemented material balance modeling for analysis of oil field data to investigate the fluid distribution evolution within a mature reservoir system;• Developed and implemented proxy modeling for forecast of field performance;• Developed and implemented field data analysis and benchmarking for past and ongoing non-condensable gas-steam coinjection field trials in Athabasca.

• Kinetic modeling of in-situ combustion process; • Evaluation of direct steam generator technique for oil sand field development.

• Evaluation of geomechanics module of CMG-STARS; • Kinetic modeling and history match of lab-scale in-situ combustion process.

• Sensitivity study of ECLIPSE for in-situ combustion modeling.