Kris Rosfjord

Title: Kris Rosfjord: Applying Machine Learning to CRISPR Detection

Introduction

Kris Rosfjord is an inventor based in McLean, Virginia, and is associated with The MITRE Corporation. His patent work addresses the detection of CRISPR-edited genomes through analysis of DNA methylation patterns and machine learning.

Latest Patents

Rosfjord is named on one patent: “Systems and Methods for Detecting CRISPR-Mediated Residues Within Methylated Patterns of Genome Using a Convolutional Neural Network.” The invention describes a system, method, and computer-readable medium for assessing whether a genome has been edited using CRISPR.

In certain embodiments, the system receives genome sequence data and creates an image representing methylation variations across genomic locations. A trained convolutional neural network analyzes that image and produces a score indicating the probability that the genome was CRISPR-edited. The system then uses the score to determine whether the genome contains a CRISPR-edited methylation region.

Career Highlights

Rosfjord’s patent reflects an approach that combines genomic data processing with neural-network analysis. The disclosed method uses methylation patterns as signals for identifying possible CRISPR edits, connecting computational techniques with genome analysis.

Collaborations

The patent lists Heath Farris and Tyrone V. Patterson III among Rosfjord’s coworkers. The work is associated with The MITRE Corporation.

Conclusion

Kris Rosfjord’s patented invention applies convolutional neural networks to methylation data to help detect CRISPR-edited genomes, illustrating a computational approach to genomic analysis.