Sunnyvale, CA, United States of America

Samskruthi Reddy Padigepati

USPTO Granted Patents = 2 


Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 32(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: **Innovator Spotlight: Samskruthi Reddy Padigepati**

Introduction

Samskruthi Reddy Padigepati is an accomplished inventor based in Sunnyvale, California. With a passion for advancing technology, she has made significant contributions to the field of deep learning and neural networks. Her expertise is particularly evident in her innovative solutions to variant classification and the reduction of overfitting in neural network models.

Latest Patents

Samskruthi holds two patents, highlighting her pioneering work in the realm of artificial intelligence. The first patent, titled "Deep convolutional neural networks for variant classification," involves constructing a convolutional neural network-based classifier. This classifier uses a training method that progressively aligns the outputs with corresponding ground truth labels. The technology utilizes groups of residual blocks, each defined by various parameters such as the number of convolution filters and convolution window sizes. The training data encompasses both benign and pathogenic examples of translated sequence pairs deriving from different variants.

Her second patent, "Deep learning-based techniques for pre-training deep convolutional neural networks," presents a novel approach to combat overfitting in neural networks designed for processing sequences of amino acids. This system generates supplemental training examples and includes logic to utilize position frequency matrices, enhancing the training influence of benign or pathogenic examples.

Career Highlights

Currently, Samskruthi is making strides as a member of Illumina Corporation, a company renowned for its innovative technologies in genomics. At Illumina, she leverages her skills in deep learning to address complex biological challenges and contribute to transformative advancements in personalized medicine.

Collaborations

In her journey, Samskruthi has collaborated with talented individuals such as Hong Gao and Kai-How Farh. These partnerships enrich her work environment and foster an atmosphere of innovation and shared knowledge, further advancing the impact of her projects.

Conclusion

Samskruthi Reddy Padigepati exemplifies the spirit of innovation within the technology sector. Through her patents and collaborative efforts, she paves the way for significant improvements in the understanding and application of neural networks. Her work not only highlights her individual achievements but also contributes to the broader goal of enhancing genomic science and its applications.

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