Pan Ding

Title: Innovations in Epidemiological Modeling by Pan Ding

Introduction

Pan Ding is an accomplished inventor based in New York, NY, with a focus on advancements in epidemiological modeling. He holds two patents that contribute significantly to the understanding and prediction of infectious disease dynamics. His work integrates machine learning and mobility data to enhance the accuracy of disease spread predictions.

Latest Patents

Pan Ding's latest patents include "Hypothetical scenario evaluation in infectious disease dynamics based on similar regions" and "Controlling compartmental flows in epidemiological modeling based on mobility data." The first patent provides mechanisms for evaluating hypothetical scenarios regarding infectious disease spread by analyzing similar regions. It allows users to define scenarios that affect disease transmission, identifies regions with similar characteristics, and modifies model parameters to generate predictions based on case report data. The second patent focuses on compartmental epidemiological modeling, utilizing mobility data to predict isolation rates within biological populations. This model simulates disease progression and controls population flows between compartments based on predicted isolation rates.

Career Highlights

Throughout his career, Pan Ding has made significant contributions to the field of epidemiology through innovative modeling techniques. His work has implications for public health and disease management, particularly in understanding how infectious diseases spread in various populations.

Collaborations

Pan Ding has collaborated with notable colleagues, including Vishrawas Gopalakrishnan and Sayali Navalekar, to further enhance the impact of his research and patents.

Conclusion

Pan Ding's innovative work in epidemiological modeling represents a significant advancement in predicting infectious disease dynamics. His contributions are vital for improving public health responses and understanding disease transmission patterns.