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Martin Reisenbichler

Short Bio

Martin Reisenbichler holds a Ph.D. in quantitative marketing and is a distinguished postdoctoral researcher at the University of Economics and Business in Vienna (WU). Before joining WU, Reisenbichler held a research position at the University of Hamburg. Besides academia, his extensive career includes pivotal roles such as Co-founder, CEO, marketing team lead, and R&D positions in highly successful international AI-driven enterprises.

Drawing on a robust quantitative research background and firsthand managerial experience, Reisenbichler excels as an expert in applied machine learning and digital marketing. His research is centered on advancing and assessing generative and analytical AI methods in natural language processing (NLP) and computer vision (CV). Notably, his efforts yield tangible enhancements in processes and inform strategic decisions across domains such as Search Engine Optimization (SEO), Search Engine Advertising (SEA), and more.

Reisenbichler's work has been published in respected scholarly journals including Marketing Science, and featured in popular outlets like Forbes. His contributions have earned him prestigious distinctions, including the top spot in the 2023 EMAC best doctoral thesis award and in the practitioner-oriented EHI Science Prize 2023.

Research Interests

Business applications of generative AI (textual, visual, multi-modal)

Business applications of computer vision algorithms (e.g., product design)

SEO (Search Engine Optimization), SEA (Search Engine Advertising)