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Xiaosheng Luo has a diverse work experience spanning multiple roles and industries. They started their career at Stony Brook University as a Research Assistant, where they conducted research on the Cell Cycle Network using C++ and SAS in Dr. Jin Wang's lab. Afterward, they worked at the University of Arkansas at Little Rock as a Teaching Assistant for three years.

In 2016, Xiaosheng joined American Data Network as a Statistician Intern, where they gained practical experience using SAS and R to clean and analyze raw data, as well as build regression models. They eventually transitioned into a full-time role as a Statistician, contributing their statistical expertise to the company.

Xiaosheng's most recent position was at PebblePost, where they held multiple roles. They started as a Data Scientist in 2018 and worked on various data science projects. In 2020, they were promoted to Senior Data Scientist, showcasing their growing expertise in the field. Recently, Xiaosheng became the Director of Data Science, leading the data science team at PebblePost.

Throughout their career, Xiaosheng has demonstrated a strong background in data science, statistics, and research, making them a valuable asset in any data-driven organization.

Xiaosheng Luo has a strong education background in mathematics and statistics. They obtained a Doctor of Philosophy (Ph.D.) degree in Mathematics and Statistics from the University of Arkansas at Little Rock, from the years 2012 to 2016. Prior to that, Xiaosheng earned a Master's degree in Mathematics and Statistics from the same institution, from 2007 to 2010. Their Bachelor's Degree in Computational Mathematics was obtained from Jilin University, where they studied from 2002 to 2006. Additionally, Xiaosheng acquired certifications including Google Cloud Platform Fundamentals from Coursera Course Certificates in 2017 and a Graduate Certificate in Statistics from the University of Arkansas at Little Rock.