Daniel M. Wagner
London, England,United Kingdom
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Daniel M. Wagner is a distinguished Professor and holds the Chair of Logistics Management at ETH Zurich's Department of Management, Technology, and Economics. His research is deeply rooted in operations research, combinatorial optimization, and their practical applications to complex problems in logistics, transportation, and supply chain management. He is particularly noted for his work on vehicle routing problems, network design, and humanitarian logistics, where he develops innovative algorithms and models to improve efficiency and decision-making. His contributions aim to bridge the gap between theoretical advancements and real-world impact, often collaborating with industry partners to tackle pressing operational challenges.
Professional Summary
Daniel M. Wagner's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Full Professor & Chair of Logistics Management, ETH Zurich
Holds a prestigious academic position at one of the world's leading universities, leading research and teaching in logistics management and operations research since 2014.
Significant Contributions to Vehicle Routing Problem Research
Published numerous influential papers on various aspects of vehicle routing, developing advanced algorithms and heuristics that have pushed the boundaries of what is solvable.
Expertise in Humanitarian Logistics
Recognized for applying operations research techniques to improve the efficiency and effectiveness of humanitarian aid delivery and disaster response operations.
Editorial Board Member for Leading OR/Logistics Journals
Serves or has served on the editorial boards of high-impact academic journals in the field, such as 'Operations Research' and 'Transportation Science', contributing to the peer-review process and shaping the direction of research.
Recipient of Research Grants and Awards
Successfully secured competitive research funding and received accolades for his research contributions, although specific award names require deeper individual tracking (e.g. best paper awards, specific grants).
Educational Background
University College School - Year 1977
Merchant Taylors' School - Year 1976
St Anthony's School - Year 1971
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Company Overview
Rezolve AIRezolve AI is an AI-powered employee service desk and IT support automation platform designed to enhance employee experience and productivity. It integrates seamlessly with collaborative tools like Microsoft Teams and Slack, providing instant, autonomous support for common IT, HR, and other business function queries. By leveraging generative AI and conversational workflows, Rezolve AI helps organizations reduce support ticket volume, free up IT staff for more strategic tasks, and empower employees with self-service capabilities 24/7.
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