Research
Research interests:
My research revolves mainly around strategic IP management. In this broader field, I work on the topics of patent valuation and whitespace identification. My research methods of preference are using NLP and interpretable ML algorithms further to improve the usage of these methods within this field.
Grants & prizes:
Patent-Portfolio fit in patent valuation
In high-tech realms, strategic risk-taking on emerging technologies is indispensable. This paper correlates the fit of patent portfolios with the patent's value through natural language processing methods.
Opening up the patent valuation black-box
Patent value estimations require increasingly complex ML methods which often lack the necessary explanatory power to disentangle the effects of different elements. This paper correlates organizational patent-portfolios with technology valuations by using interpretable machine learning.
Competitor Portfolios and the value of new technologies
In interconnected innovation ecosystems, a technology's value depends not only on its own merits but on where it sits relative to competitors. This paper uses text-based similarity measures to link a patent's proximity to rival portfolios, in both product space and technology space, to its market-based value.