Modern technologies based on new scientific findings are having an ever greater and ever deeper impact on business and everyday life. Understanding such technologies today in order to be successful in business tomorrow is becoming increasingly important. Alexander Schavkan is passionate about sharing his deep understanding of breakthrough innovations and technologies. He is a creative shaper at the interface between business and technology and sees himself as a translator between different management levels, technologies and departments. Alexander combines his data-driven way of working with a strong sense of business building and a broad network.
"We can only see a short distance ahead, but we can see plenty there that needs to be done." (Alan Turing, British mathematician and cryptanalyst)
Alexander joined Prospire as a Senior Consultant in mid-2023 after working as a technology consultant for an international IT company and Innovation and Business Development Manager at a Swiss innovation park. He holds a PhD in physics and has dedicated his research life to X-rays and particle accelerators. During this time, he was responsible for various international experiments in materials science and space research.
Innovation and progress - in business as well as in technology - emerge from the right combination of impulses, experience and knowledge.
Thanks to his experience as a consultant as well as his analytical approach and deep technical understanding, Alexander quickly grasps complex challenges and organizations. His solutions are creative, and he communicates them simply and efficiently, demonstrating their application to all functions and areas. He is also creative in his personal life: Alexander is passionate about creative writing. He has written poetry and short stories and is currently writing a novel about the eventful life of his great-grandfather.
Expertise
- Business development and ecosystem building
- Digitalization and innovation
- Logistics and process optimization
- Algorithms, simulations and modeling
- Cross-divisional effect analysis