Vishrawas Gopalakrishnan

Title: Innovations by Vishrawas Gopalakrishnan

Introduction

Vishrawas Gopalakrishnan is a notable inventor based in Cambridge, MA, with a significant contribution to the field of epidemiological modeling. He holds a total of seven patents, showcasing his expertise and innovative approach to addressing complex problems in infectious disease dynamics.

Latest Patents

Gopalakrishnan's latest patents include "Hypothetical scenario evaluation in infectious disease dynamics based on similar regions." This invention provides mechanisms for evaluating hypothetical scenarios regarding infectious disease spread by utilizing characteristics from similar regions. The process involves receiving user-defined scenarios and identifying attributes from predefined regions to derive modified model parameters for an infectious disease computer model. The model is then executed to predict the spread of the disease in the target region.

Another significant patent is "Controlling compartmental flows in epidemiological modeling based on mobility data." This invention focuses on compartmental epidemiological modeling that incorporates mobility data. It involves training a machine learning model to predict isolation rates of biological populations based on mobility measures. The model simulates the progression of infectious diseases and controls the flow of populations between compartments based on predicted isolation rates.

Career Highlights

Throughout his career, Gopalakrishnan has worked with prominent companies, including IBM and Merative US L.P. His experience in these organizations has contributed to his development as an inventor and researcher in the field of epidemiology.

Collaborations

Some of his notable coworkers include Fang Lu and Paul R Bastide, who have collaborated with him on various projects and innovations.

Conclusion

Vishrawas Gopalakrishnan's contributions to the field of infectious disease dynamics through his innovative patents highlight his expertise and commitment to advancing public health. His work continues to influence the way we understand and model infectious diseases.