• Thesis on optimization and data assimilation of non-linear PDE driven numerical models (GEOS-Chem) using large observation databases (earth observing instruments on NASA satellite); resulted in 207-page dissertation and two peer-reviewed articles.• Strong C/C++ computing skills: Working with the GEOS-Chem model written in C/C++ and Fortran, collaborating coding/installation/modification plans with global users.• Stochastic modelling: analyzing initialization of atmospheric chemical tracers rely on similar stochastic processes to financial derivative modelling.• PDE/ODE modelling: creating and reviewing chemical reactions, advection equation, and diffusion equation applied in the GEOS-Chem model, which are large differential equation systems strongly related to financial modelling.• Data engineering/management: archiving, formatting and maintaining satellite observation (e.g. MOPITT, TES, OMI etc.) datasets for NASA and CSA over 20TB.• Grant/Report/Journals/Conference Writing: wrote research proposals, reports and journals, awarded over $200,000 in funding scholarship, and 2 trophies among international conferences.• Project Management: Designed and managed world-wide collaborated research, gathering sources and self-learning on cutting-edge research topics.

Analyzing key sports related statistics on major league sports.Design betting models based on deep neural network using Europen Soccer Data.

Developing automated financial reports to investors.Applying statistical and machine learning based models (stochastic based and classification based) for investment risk management.