Xiao Wang, PhD

Xiao Wang, PhD has diverse work experiences in the field of data science and applied mathematics. From 2018, Xiao has been working at PCCI, starting as a Data Scientist and progressing to Senior Data Scientist and currently serving as the Principal Data Scientist. Prior to that, Xiao worked at Anheuser-Busch InBev as a Data Scientist, where they performed exploratory data analysis, applied machine learning algorithms, and optimized employee turnover models. Xiao also gained valuable experience as a Data Science Fellow at IMA, where they worked on data science projects for various industry companies and conducted research on topics such as municipal bond trading activities and battery capacity loss modeling. In addition, Xiao had an internship as a Data Scientist at Dow AgroSciences, where they worked on modeling agricultural black-box models and developed algorithms using Maple and Python. Xiao holds a PhD in Applied Mathematics from the University of Illinois at Urbana-Champaign, where their research focused on probability theory and its applications in statistical physics.

Xiao Wang, PhD, completed their education in mathematics, specializing in different levels and areas of the subject. Xiao started their educational journey at the University of Illinois Urbana-Champaign, where they obtained a Bachelor of Science (BS) degree in Mathematics and Applied Mathematics from the Harbin Institute of Technology as an exchange student.

Xiao continued their studies at the University of Illinois Urbana-Champaign and obtained a Master's degree in Mathematics in 2016. Xiao further pursued their academic endeavors at the same university and successfully completed their Doctor of Philosophy (PhD) in Mathematics in 2018.

In addition to their formal education, Xiao Wang also gained expertise in the field of Deep Learning through a certification course called the "Deep Learning Specialization" offered by Coursera. However, specific details regarding the month and year of completion are not provided.

Furthermore, during their educational journey, they also attended the UCLA Summer Session to enrich their knowledge and skills in Mathematics.