Rocky Hill, NJ, United States of America

Hugh Lynch


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Hugh Lynch: Innovator in Efficient Similarity Ranking for Bipartite Graphs

Introduction: Hugh Lynch, based in Rocky Hill, NJ, is a notable inventor recognized for his groundbreaking work in computing similarity rankings for bipartite graphs. With a singular focus on enhancing graph analysis, Lynch's contributions are pivotal in the field of data science and information retrieval.

Latest Patents: Hugh Lynch holds a patent titled "Efficient similarity ranking for bipartite graphs." This innovative system includes at least one processor and memory containing a bipartite graph consisting of a first set and a second set of nodes. The nodes in the first set are interconnected with those in the second set through edges. The patent describes a method that categorizes nodes in the second set and generates corresponding subgraphs to improve the response to queries. This technology is crucial for applications needing efficient data processing and analysis.

Career Highlights: In addition to his patent, Hugh Lynch has contributed significantly to the technology arena through his role at Google Inc. His work continues to influence advancements in data structure manipulation and computational methods.

Collaborations: At Google Inc., Hugh has worked alongside esteemed colleagues such as Seyed Vahab Mirrokni Banadaki and Silvio Lattanzi. Their collaborative efforts likely foster innovation and push the boundaries of technology in their respective fields.

Conclusion: Hugh Lynch stands out as an exceptional inventor whose work on efficient similarity ranking for bipartite graphs demonstrates his expertise and innovative spirit. His contributions at Google Inc. and his collaboration with fellow experts underline the importance of teamwork in driving technological progress. Through his patent, Lynch has opened new avenues for effective data analysis, showcasing the potential of innovative thinking in today's digital landscape.

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