This inventor holds 17 USPTO granted patents and 17 published patent applications, plus 2 CIPO patents and 1 EPO patent. Top assignees: Natera, Inc., Adobe, Inc.. Active years: 2017-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017-2026
Title: Innovations of Joshua Sweetkind-Singer
Introduction
Joshua Sweetkind-Singer is a prominent inventor based in San Jose, CA. He has made significant contributions to the field of genetic data analysis and machine learning. With a total of 17 patents, his work focuses on enhancing the fidelity of genetic measurements and improving the interpretability of machine learning models.
Latest Patents
One of his latest patents is titled "System and method for cleaning noisy genetic data and determining chromosome copy number." This invention discloses a system and method aimed at increasing the fidelity of measured genetic data. It allows for making allele calls and determining the state of aneuploidy in one or a small set of cells, or from fragmentary DNA. The method reconstructs poorly or incorrectly measured base pairs, missing alleles, and missing regions by utilizing expected similarities between the target genome and the genomes of genetically related individuals. Another notable patent is "Prototype-based machine learning reasoning interpretation." This invention analyzes a prototype model that includes a representative subset of data points to efficiently interpret the behavior of machine learning models. It determines performance metrics such as local and global explanation scores, which capture the importance of features in classifying test points.
Career Highlights
Joshua has worked with notable companies such as Natera, Inc. and Adobe, Inc. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in genetic data analysis and machine learning.
Collaborations
Some of his coworkers include Matthew Rabinowitz and Milena Banjevic. Their collaboration has likely fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.
Conclusion
Joshua Sweetkind-Singer is a distinguished inventor whose work in genetic data analysis and machine learning has led to significant advancements in these fields. His innovative patents and collaborations highlight his commitment to improving technology and understanding in genetics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile