Christopher Chen

Title: Christopher Chen: Inventor in Automated Feature Engineering.

Introduction

Christopher Chen is an inventor based in San Jose, California. His work includes automated feature engineering methods that prepare sensor data for machine-learning applications.

Latest Patents

Chen is associated with 1 patent, titled “Automated Feature Engineering.” The invention processes streaming data representing attributes detected by sensors over time. It computes long-term statistics and short-term statistics across time intervals, then normalizes and compares them using dynamic time warping. The method generates probability distributions and uses the distance between their mean values to produce machine-learning input features for training an anomaly-detection model.

Career Highlights

Chen works at International Business Machines Corporation. His patent describes a data-processing approach designed to support automated machine learning and anomaly detection.

Collaborations

Kunal Sawarkar and Shivam Raj Solanki are identified as Chen’s coworkers.

Conclusion

Christopher Chen’s patent focuses on transforming streaming sensor data into useful features for machine-learning models, particularly those designed to detect anomalies.