Henry Chan

Title: Innovations of Henry Chan

Introduction

Henry Chan is an accomplished inventor based in Lemont, IL (US). He has made significant contributions to the field of machine learning and optimization, holding a total of 4 patents. His work focuses on developing systems and methods that enhance the efficiency and effectiveness of machine learning models.

Latest Patents

Henry Chan's latest patents include "Systems and methods for active learning from sparse training data." This innovative method allows for training a machine learning model using fewer than ten initial training data points to create a candidate model. The process involves performing a Monte Carlo sampling to evaluate the model's outputs and iteratively refining the model based on convergence conditions.

Another notable patent is "Systems and methods for hierarchical multi-objective optimization." This method optimizes objective functions by applying parameters based on a hierarchy. It includes mechanisms for evaluating convergence conditions and modifying parameters using genetic algorithms to achieve optimal results.

Career Highlights

Henry Chan is currently employed at Uchicago Argonne, LLC, where he continues to push the boundaries of research and innovation. His work has been instrumental in advancing the understanding and application of machine learning techniques.

Collaborations

Henry has collaborated with notable colleagues such as Subramanian Sankaranarayanan and Troy David Loeffler. Their combined expertise contributes to the innovative projects at Uchicago Argonne, LLC.

Conclusion

Henry Chan's contributions to the field of machine learning and optimization are noteworthy. His patents reflect a commitment to advancing technology and improving methodologies in data training and optimization.