Management Consultant · McKinsey & Company Doctor of Sciences · ETH Zürich

Since June 2019, I am a consultant at McKinsey & Company, helping companies and organizations across the private, public, and social sectors create the change that truly matters. I advise senior executives on their most important and pressing challenges. By combining my extensive experience in business with my in-depth expertise in technology, I help clients identify emerging business opportunities. Prior to joining McKinsey & Company, I was a researcher in the Systems Group at ETH Zürich, developing 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 distributed database systems, make existing processes more efficient, and improve overall business insights.

Resume

McKinsey & Company

Zürich, Switzerland

June 2019 – now

Consultant at McKinsey & Company, one of the world's leading management consulting firms. My work focuses on the intersection of business and technology. I advise companies and organizations on a wide range of topics, and help senior executives identify and set the direction towards their most important and challenging goals.

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.

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.

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.