Christian Dollfus

Christian Dollfus serves as a Lecturer in Data Engineering and Data Science at the Lucerne University of Applied Sciences and Arts, School of Business, within the Institute for Communication and Marketing (IKM CMT) since 2019. Concurrently, he co-founded and acts as CTO for startups including MyCareerGate, Clean Energy Exchange, and Predictive Quantum Traffic, while leading InfoBridge GmbH in data engineering solutions.

His educational foundation includes:

• Diploma in Mathematics and Physics from the University of Zurich
• Dr. Phil II in experimental particle physics at the HERA storage ring
• Executive Master of Business Engineering from the University of St. Gallen
• Advanced Management Program from UC Berkeley

Dollfus specializes in applied data science with expertise spanning Data Engineering, Machine Learning, and Natural Language Processing. His research bridges technical methodologies with business applications, particularly in Robotic Process Automation, Business Intelligence, and Data Visualization for domains like employer branding, mobility analytics, and risk behavior prediction.

His 2020-2022 publications reveal a consistent focus on Natural Language Processing for organizational analysis, demonstrating interdisciplinary innovation through machine learning applied to corporate culture studies, economic news coverage during crises, and talent acquisition systems. These works highlight his methodology of extracting actionable insights from unstructured textual data in business contexts.

No scientific awards were documented in the source material.

Professional guidance activities and grant funding details remain unspecified in available records.

Dollfus operates within the IKM CMT research group at Lucerne University while directing InfoBridge GmbH's data science initiatives and advancing startup ventures focused on AI-driven solutions in career development, energy markets, and traffic prediction.