Erol Peköz is an experienced data scientist leader, professor, department chair, applied probabilist, and textbook author working in the intersection of machine learning and data science. The research interests of Professor Peköz cover the areas of operations research, applied probability, data science, statistics, queueing models, supply chain management, healthcare operations management, fintech, and cryptocurrencies.