Fanyi Zhang

Title: Inventor Spotlight: Fanyi Zhang

Introduction

Fanyi Zhang is an accomplished inventor based in Jersey City, NJ. With a focus on innovations in predictive modeling, he holds two patents that contribute to advancing the field of subject enrollment in clinical studies. His work is pivotal in optimizing the efficiency of research processes.

Latest Patents

Fanyi Zhang's notable patents include a system and method for predicting subject enrollment for studies. This innovative solution incorporates a time-to-first-enrollment (TTFE) model and a first-enrollment-to-last-enrollment (FELE) model tailored for each site in a study. The TTFE model utilizes a Gaussian distribution combined with a generalized linear mixed effects model, which can be solved using maximum likelihood point estimation or Bayesian regression. Similarly, the FELE model employs a negative binomial distribution with a generalized linear mixed effects model using the same estimation methods.

Career Highlights

Currently, Fanyi Zhang is associated with Medidata Solutions, Inc., where he applies his expertise in predictive analytics and modeling. His contributions significantly enhance the capabilities of clinical trial methodologies.

Collaborations

During his career, Fanyi has collaborated with notable coworkers, including Hrishikesh Karvir and Jingshu Liu. These collaborations underscore the importance of teamwork in driving innovation and fostering a research-oriented environment.

Conclusion

Fanyi Zhang’s contributions to the field of predictive modeling in clinical studies demonstrate his commitment to innovation and excellence. His patents represent a significant advancement in research methodologies, showcasing the critical role inventors play in shaping the future of medical research.