Redwood City, CA, United States of America

Sofia Kyriazopoulou Panagiotopoulou

This inventor holds 7 USPTO granted patents and 5 published patent applications and 4 EPO patents. Top assignee: Illumina Corporation. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sofia Kyriazopoulou Panagiotopoulou. Retrieved from https://idiyas.com/inventor/sofia-kyriazopoulou-panagiotopoulou

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 7 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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7 patents (USPTO):Explore Patents

Title: Sofia Kyriazopoulou Panagiotopoulou: Innovator in Computational Biology

Introduction

Sofia Kyriazopoulou Panagiotopoulou is a prominent inventor based in Redwood City, CA. She has made significant contributions to the field of computational biology, particularly in the area of splice site prediction and pathogenicity classification. With a total of 7 patents, her work is at the forefront of innovative technologies that enhance our understanding of genetic variations.

Latest Patents

One of her latest patents is titled "Splicing site classification using neural networks." This technology focuses on splice site prediction and aberrant splicing detection. It involves a convolutional neural network that is trained on examples of donor splice sites, acceptor splice sites, and non-splicing sites. The network evaluates input sequences of nucleotides to classify target nucleotides based on their likelihood of being donor or acceptor splice sites.

Another notable patent is the "Deep learning-based pathogenicity classifier for promoter single nucleotide variants (pSNVs)." This invention addresses human ascertainment biases in curated pathogenic non-coding variant databases. By generating pathogenicity scores for variants in promoter regions, the deep learning networks trained by Panagiotopoulou help to discriminate between benign and pathogenic variants.

Career Highlights

Sofia currently works at Illumina Corporation, a leading company in the field of genomics. Her role involves developing advanced computational models that contribute to the understanding of genetic variations and their implications in health and disease.

Collaborations

Throughout her career, Sofia has collaborated with notable colleagues, including Kai-How Farh and Kishore Jaganathan. These collaborations have further enriched her research and innovation in computational biology.

Conclusion

Sofia Kyriazopoulou Panagiotopoulou is a trailblazer in the field of computational biology, with her innovative patents paving the way for advancements in genetic research. Her contributions are vital for the ongoing exploration of genetic variations and their impact on human health.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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