Computer Scientist ·ETH Alumnus ·McKinsey Alumnus

I am a technologist drawing on over a decade of experience in enterprise architecture, software engineering, and systems design to help organizations across the private, public, and social sectors identify emerging business opportunities, adopt a data-driven mindset, and apply cloud computing technologies. As a senior consultant at McKinsey & Company, I advised C-level executives on technology-related topics to help them solve their most pressing challenges. I prepared multi-year business transformations, designed modern IT architectures, and lead the implementation of many complex information systems in the cloud and on premise. During my doctoral studies at ETH Zürich, I developed cutting-edge technologies that have had a substantial impact on large-scale data management and distributed data processing. I authored several peer-reviewed publications presented in international research venues, and worked with multiple partners from industry and academia on innovative projects to accelerate database systems, make existing processes more efficient, and improve overall business insights.

Resume


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Scandit AG
Zürich, Switzerland
April 2021 – present
Enterprise & Business Architect at Scandit, an award-winning computer vision and data capture company, specializing in advanced barcode scanning solutions. I work with senior management to plan and design new information systems, optimize and automate business processes, and ensure that the IT systems can support the rapid growth of the business.

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McKinsey & Company
Zürich, Switzerland
June 2019 – January 2021
Senior Associate at McKinsey & Company, one of the world's leading management consulting firms. My work focused on the intersection of business and technology. I advised companies and organizations on a wide range of technology-related topics, and helped senior executives identify and set the direction towards their most challenging goals.

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ETH Zürich
Zürich, Switzerland
October 2013 – February 2019
Researcher at ETH Zürich, one of the top-ranked universities for technology and natural sciences. My research interests revolved around distributed database systems, large-scale data processing, and high-performance networks. In addition to research, my duties included teaching activities at the under-graduate and graduate levels.

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Oracle Labs
Belmont, United States of America
March 2014 – September 2014
Internship as a Researcher at Oracle Labs, the research divison of Oracle. I developed, implemented, and evaluated efficient network scheduling techniques for distributed join and aggregation algorithms in the context of Project RAPID, a hardware-software co-design project targeting large-scale data management and analysis.

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IBM Research
Rüschlikon, Switzerland
October 2012 – January 2013
Internship as a Researcher at IBM Research in Switzerland, the first European branch of IBM's worldwide research division. I developed, implemented, and evaluated novel methods for autonomous sensor localization in the context of Project MoteRunner, an infrastructure platform for wireless and embedded sensor networks.

Scientific Publications


Feilong Liu, Claude Barthels, Spyros Blanas, Hideaki Kimura, Garret Swart
Beyond MPI: New Communication Interfaces for Database Systems and Data-Intensive Applications
SIGMOD Record, Volume 49, Issue 4, December 2020 [PDF]  [BibTeX]
Claude Barthels, Ingo Müller, Konstantin Taranov, Gustavo Alonso, Torsten Hoefler
Strong consistency is not hard to get: Two-Phase Locking and Two-Phase Commit on Thousands of Cores
Proceedings of the VLDB Endowment, Volume 12, Issue 13, September 2019 [PDF]  [BibTeX]
Claude Barthels
Scalable Query and Transaction Processing over High-Performance Networks
ETH Zurich, Doctoral Dissertation, Number 25655, February 2019 [PDF]  [BibTeX]
Darko Makreshanski, Jana Giceva, Claude Barthels, Gustavo Alonso
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications
Proceedings of the 2017 ACM SIGMOD International Conference on Management of Data, June 2017 [PDF]  [BibTeX]
Claude Barthels, Gustavo Alonso, Torsten Hoefler
Designing Databases for Future High-Performance Networks
IEEE Data Engineering Bulletin, Volume 40, Issue 1, March 2017 [PDF]  [BibTeX]
Claude Barthels, Ingo Müller, Timo Schneider, Gustavo Alonso, Torsten Hoefler
Distributed Join Algorithms on Thousands of Cores
Proceedings of the VLDB Endowment, Volume 10, Issue 5, January 2017 [PDF]  [BibTeX]
Claude Barthels, Simon Loesing, Gustavo Alonso, Donald Kossmann
Rack-Scale In-Memory Join Processing using RDMA
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, June 2015 [PDF]  [BibTeX]
Simon Mayer, Christian Beckel, Bram Scheidegger, Claude Barthels, Gábor Sörös
Uncovering Device Whispers in Smart HomesDemo Paper
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, December 2012 [PDF]  [BibTeX]