Summary
Bennet Voorhees is a machine learning leader and startup CTO with over a decade of experience building analytics and AI systems that scale, currently co-founding Ikona Analytics to modernize HR infrastructure by fusing AI, engineering, and strategy. He has led ML and data science teams at Expedia, Amazon, and Merck, delivering forecasting, anomaly detection, graph analytics, and enterprise workforce modeling while driving cross-functional adoption of data products. Bennet blends hands-on technical depth with product and executive collaboration, having defined vision and scaled data platforms for people operations at large enterprises. His background in economics and China studies gives him a systems-level, cross-cultural perspective that informs model design, product roadmaps, and organizational strategy. He also teaches and advises graduate students in human capital analytics, signaling a commitment to translating applied research into workforce impact.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Economics and Chinese (double major), Bachelor's degree Economics and Chinese (double major) at University of Oregon
Master of Arts - MA International Economics China Studies, Master of Arts - MA International Economics China Studies at Nanjing University
Certificate Data Science, Certificate Data Science at Johns Hopkins Bloomberg School of Public Health
Professional Certificate Artificial Intelligence, Professional Certificate Artificial Intelligence at Stanford University School of Engineering
Master of Arts - MA International Economics and China Studies, Master of Arts - MA International Economics and China Studies at Johns Hopkins School of Advanced International Studies (SAIS)
Spanish, French, Chinese, English