Data Scientist with a PhD degree in Engineering, with interest in finance and AI
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I am a Ph.D. graduate from Stanford University with a degree in Energy Resources Engineering. During my PhD, my research is about uncertainties quantification and prediction with uncertainty. I applied machine learning technologies in some of the projects in my thesis, to predict contaminant transport and reservoir production. I got very interested in Machine learning and AI after I took a few core CS classes while at Stanford. I managed to get an opportunity to work in the data science field after graduation. I am a total life-learning believer. I passed CFA level I & II while at school. Right now, besides work, I am enrolled in the famous Udacity’s self-driving cars nanodegree. In addition, I actively participate in our company’s internal deep learning reading slack group and have implemented and presented a few famous paper, such as a neural algorithm of artistic style.