Berlin, Germany

Steffen Vogler

This inventor holds 1 USPTO granted patent and 7 published patent applications and 2 EPO patents. Top assignee: Bayer Aktiengesellschaft. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Steffen Vogler: Innovator in Multi-Modal Data Processing

Introduction

Steffen Vogler is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of machine learning, particularly in the processing of multi-modal data. His innovative approach has the potential to revolutionize how medical data is utilized and interpreted.

Latest Patents

Steffen Vogler holds a patent for a "Method and apparatus for processing of multi-modal data." This patent describes a method for training a machine learning model that establishes links between data of different modalities by creating a joint representation. The application of this method is particularly relevant to medical data, including electronic medical records and medical images. The trained machine learning model can perform various tasks, such as autocompletion of incomplete data, detection of uncertain and/or spurious data, and generation of probable data.

Career Highlights

Steffen Vogler is currently employed at Bayer Aktiengesellschaft, a leading global company in the pharmaceutical and life sciences sector. His work at Bayer focuses on leveraging machine learning to enhance the processing and analysis of complex medical data.

Collaborations

Steffen collaborates with notable colleagues, including Johannes Hoehne and Matthias Lenga. Their combined expertise contributes to the advancement of innovative solutions in the field of data processing.

Conclusion

Steffen Vogler's work in multi-modal data processing exemplifies the intersection of technology and healthcare. His contributions are paving the way for more efficient and effective use of medical data, ultimately benefiting patient care and outcomes.

Profile summary based on public USPTO records.
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