This section presents the academic and analytical side of my work
While I operate professionally in business execution, I also develop research that explores the deeper economic, technological, and strategic patterns shaping innovation, intangible asset value, and digital transformation.
The two worlds are connected: theory feeds practice, and real-world patterns sharpen theory.
Research Focus Areas
- Commercialization of intangible assets in life sciences
- Valuation methods for data, knowledge, and AI-generated IP
- Generative AI’s role in decision-making and monetization logic
- Customer segmentation and behavioral economics in B2B innovation
- Strategic design and funding of innovation portfolios
- Digital infrastructure and non-linear growth in SMEs
- Intellectual property as a financial and strategic asset
Ongoing Projects
My current doctoral work explores how organizations – especially in life sciences and regulated industries – can better identify, model, and communicate the value of intangible assets using data, technology, and AI-supported frameworks.
The aim is to make non-physical value visible, measurable, and strategically actionable.
Working Papers & Early Frameworks
- “Valuing the Invisible” – strategic framework draft (PDF)
- “AI-supported IP Commercialization Models” – outline in progress
- “Customer-Centricity in Innovation Investment” – research brief (to be published)
- “The Portfolio is the Product” – research note on lean governance and funding logic
Academic & Research Affiliations
- Polish Academy of Sciences – Institute of Economic Sciences (INE)
- Independent researcher exploring Swiss collaboration frameworks
- Open to academic supervision, co-authorship, and panel participation
Interested in Collaboration?
If you’re a researcher, faculty member, institution or doctoral supervisor exploring adjacent fields, I’m open to collaboration, paper co-authorship and structured discussion.