Hong Wang

Hong Wang is an experienced data scientist with a robust background in computational research and analytics. Wang began a career as a Post-doctoral Research Associate at West Virginia University, focusing on computational simulations of semiconductor nanosystems and HMX, while also mentoring undergraduate students and writing grant proposals. Subsequent roles included a Materials Science Analyst position and various data science positions at organizations such as ICC, Pernod Ricard, and Intel Fab68, where Wang contributed to interdisciplinary research and developed machine-learning models and web applications. Currently, Wang serves as a Data Scientist specializing in Product Analytics at Meta. Academic credentials include a Ph.D. in Computational Chemistry from Jilin University and a Master's degree in Data Science from West Virginia University.