Hessam Habibian, PhD, is a highly accomplished Data Scientist with a solid background in statistics and mathematical modeling. His expertise in quantum physics provides him with an edge in machine learning and predictive analytics. Hessam has been working in the Fintech and HealthTech industry for six years and has been responsible for developing analytical solutions for various business sectors. He is proficient in R, Python, AWS, GCP, Azure, and various tools for Business Intelligence Data Visualization. Hessam's portfolio includes projects such as dynamical pricing, revenue management, risk assessment, credit scoring, fraud analytics, predictive asset maintenance, and logistic analytics.

Hessam holds a PhD in Theoretical and Mathematical Physics with a focus on Quantum Optics, Quantum Information, and Quantum Simulation. He also pursued a business course in Entrepreneurship at ESADE Business & Law School. Prior to his career as a data scientist, Hessam worked as a Senior Research Fellow in Quantum Nano-photonics at ICFO and Physics of Solid States and Quantum Information technology at Johannes Kepler University.

As the Advanced Analytics and Machine Learning Innovation Lead at IoT Automative WABCO, Hessam is a technology agnostic professional always eager to learn new things. He has also worked with startups and co-founded a few, in addition to being the Series Editor for Open Access Books on Quantum Information and Quantum Simulation at De Gruyter.