Ossining, NY, United States of America

Dan He

USPTO Granted Patents = 9 

Average Co-Inventor Count = 3.2

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2015-2022

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):

Title: The Innovations of Dan He

Introduction

Dan He is an accomplished inventor based in Ossining, NY (US). He has made significant contributions to the field of genetics and data modeling, holding a total of 9 patents. His work focuses on enhancing the understanding of epistasis effects in phenotype prediction.

Latest Patents

One of Dan He's latest patents is titled "Feature selection for efficient epistasis modeling for phenotype prediction." This invention involves various embodiments that select markers for modeling epistasis effects. In one embodiment, a processor receives a set of genetic markers and a phenotype. A relevance score is determined with respect to the phenotype for each of the set of genetic markers. A threshold is set based on the relevance score of a genetic marker with the highest relevancy score. A relevance score is determined for at least one genetic marker in the set of genetic markers for at least one interaction between the at least one genetic marker and at least one other genetic marker in the set of genetic markers. The at least one interaction is added to a top-k feature set based on the relevance score of the at least one interaction satisfying the threshold.

Career Highlights

Dan He is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work has been instrumental in advancing the field of genetic research and data analysis.

Collaborations

Dan has collaborated with notable colleagues, including Laxmi Priya Parida and David C Haws. Their combined expertise contributes to the success of their projects and innovations.

Conclusion

Dan He is a prominent inventor whose work in genetics and data modeling has led to significant advancements in phenotype prediction. His contributions continue to shape the future of research in this vital field.

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