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Ferdinand F. Hingerl, PhD, is a seasoned expert in data science and technology with extensive experience in the energy sector. Currently serving as the Chief Technology Officer at Ambyint, Ferdinand leads innovative advancements in AI-based gas production optimization, achieving notable production uplifts and cost reductions. Previous roles include senior positions at Streamsim Technologies, where software development for chemically enhanced oil recovery was central, and a postdoctoral researcher at Stanford University, focusing on multi-phase flow properties in carbon capture applications. Ferdinand holds a Doctor of Sciences from ETH Zurich and has contributed to academia as a lecturer and research assistant, alongside numerous publications, patents, and international conference presentations. Additionally, Ferdinand is a board advisor at TraceRent, enhancing revenue optimization through advanced analytics.