Cambridge, MA, United States of America

Hyunghoon Cho

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Other. Active years: 2021-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hyunghoon Cho. Retrieved from https://idiyas.com/inventor/hyunghoon-cho-830z06n7

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

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:

goldMedal2 out of 834,570 
Other
 patents

Years Active: 2021-2022

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2 patents (USPTO):Explore Patents

Title: Innovations by Hyunghoon Cho

Introduction

Hyunghoon Cho is an accomplished inventor based in Cambridge, MA (US). He has made significant contributions to the field of pharmacology and data security through his innovative patents. With a total of 2 patents, Cho's work focuses on enhancing computational efficiency and secure data sharing in pharmacological research.

Latest Patents

Cho's latest patents include groundbreaking methods for realizing private and practical pharmacological collaboration using a neural network architecture. This invention facilitates secure pharmacological collaboration with respect to private drug target interaction (DTI) data. The method begins by receiving observed DTI data from individual participating entities via a secret sharing protocol. A secure computation is then executed against the secretly-shared data to generate a pooled DTI dataset. For increased computational efficiency, part of the computation is executed over dimensionality-reduced data. The resulting pooled DTI dataset is used to train a neural network model, which provides DTI predictions returned to the participating entities.

Another notable patent focuses on secure secret-sharing-based crowdsourcing for large-scale association studies of genomic and phenotypic data. This method also begins by receiving genomic and phenotypic data from individual study participants through a secret sharing protocol. Additionally, a dataset comprising results of pre-computation over random number data is received via secret sharing. A secure computation is executed against the secretly-shared genomic and phenotypic data, using the results of the pre-computation to generate genome-wide association study (GWAS) statistics. This innovative approach allows for the identification of genetic variants that are statistically correlated with a phenotype of interest.

Career Highlights

Hyunghoon Cho has established himself as a leading figure in his field through his innovative research and patents. His work has significantly advanced the understanding of secure data sharing and computational efficiency in pharmacological studies.

Collaborations

Cho has collaborated with notable individuals in his field, including Bonnie Berger Leighton and David Junzi Wu. These collaborations have further enriched his research and contributed to the development of his innovative patents.

Conclusion

Hyunghoon Cho's contributions to the fields of pharmacology and data security through his patents demonstrate his commitment to innovation and excellence. His work continues to pave the way for advancements in secure data sharing and computational efficiency in research.

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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