About Me

Benjamin L. Brückner

I am a professional focusing on delivering strategy, data and innovation projects. Altough born and raised in Switzerland, I enjoy working with clients across the globe.

My path has often brought me into situations with seasoned organisations (e.g. in the defence domain) who struggle to understand their problems and how to address them. As a passionate problem-solver, I help my clients to separate signal from noise.

Educated in Switzerland, the United Kingdom, and Costa Rica, I’ve come to live and appreciate diverse cultures – and maybe adopt some traits from different ways of life.

Scenic view of a mountainous landscape with snow-capped peaks, dense forests, and green rolling hills with scattered houses and trees.
Benjamin L. Brückner.

Experience

  • Advised high-profile corporate and government clients in the Gulf (GCC) region with a particular focus on defence innovation. Exempli gratia, I advised a GCC minister on emerging technologies working with leading VCs and domain experts (mostly generals). Furthermore, I helped organise the Saudi-Swiss FinTech Forum 2024 in Riyadh, which was designed to connect various CXOs and Fintech start-ups from the Swiss and Saudi ecosystem. Finally, I led the training of new associates.

  • I founded Brückner Consulting in early 2023. Since then, I have been able to advise numerous clients on a diverse range of subjects. Further information about our services and case studies are found on this website.

  • As a sergeant of the Cyber Battalion, I underwent extensive cyber security and leadership training. In my function within the battalion, I execute innovation projects and consult senior officers / the battalion staff on various classified subjects.

  • As founder and first President of the Crypto Society, I led a board of 20 people with which we organised large events and networked with CXO’s of the Swiss crypto industry.

Academia

  • M. Phil. in Economics and Data Science: Graduated with a First Class Honours degree within the top three of my year. The course covered the interactions of Machine Learning, Natural Language Processing and Causal Inference with economics. Furthermore, I finished at the top of my class in the award-winning algorithmic trading course taught by Prof. Bossaerts.

  • B.A. in Economics with a specialisation in Data Analytics and Data Handling: Graduated with a First Class Honours equivalent (5.5+) degree. Visited courses covering economics, statistics, business, law, and data analytics. Furthermore, I was an elected member of the St. Gallen University Senate.

Publications

  • We examine the question whether employees in the home office do less bureaucratic ‘bullshit’ work. Therefore, we use natural language processing (NLP) techniques on a large data set of employee reviews. We successfully demonstrate how one can measure the latent economic concept of bullshit work using natural language data. However, we do not find that home-office employees perform less bullshit work.

  • We analyse over 100,000 public transport connections using the Google Maps API. We find that in Swiss cities, public transportation moves people from point A to point B at an average speed of 8.3 km/h. In many cases, one is significantly faster using a bicycle or an e-scooter. Furthermore, the much-praised Swiss public transportation system only transports passengers slightly faster than its counterparts in German and Austrian cities. However, this modest speed also reflects the inherent conflicts in urban public transportation, which are difficult to overcome.

    Download Here.

  • We investigate the policy effect of accepting Bitcoin and Ether as tax payment methods on the growth of the crypto industry in the canton of Zug (Crypto Valley). We do not find that the acceptance of crypto currencies has led to a significant growth of the Crypto Valley.

    Download here.

  • The paper demonstrates the impact of the introduction of quantum computing on corporations from a cybersecurity, business innovation and human resource perspective. It finds, that with the introduction of quantum computers, encryption algorithms need to be updated. On the other hand, future quantum machine learning, optimisation, and simulation techniques can benefit corporations. At last, with the introduction of quantum computing, corporations should compete for human resources in the quantum field.