Hrishikesh Karvir

Title: The Innovative Mind of Hrishikesh Karvir

Introduction

Hrishikesh Karvir is a notable inventor based in Hamilton, NJ (US). He has made significant contributions to the field of predictive modeling, particularly in the context of subject enrollment for clinical studies. With a total of five patents to his name, Karvir's work showcases his expertise and innovative thinking.

Latest Patents

Among his latest patents is a system and method for predicting subject enrollment. This system includes a time-to-first-enrollment (TTFE) model and a first-enrollment-to-last-enrollment (FELE) model for each site involved 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, also solvable through maximum likelihood point estimation or Bayesian regression estimation.

Career Highlights

Throughout his career, Hrishikesh Karvir has worked with prominent companies such as Celmatix, Inc. and Medidata Solutions, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the field of predictive analytics.

Collaborations

Karvir has collaborated with esteemed colleagues, including Michael Elashoff and Piraye Yurttas Beim. These partnerships have further enriched his work and expanded the impact of his inventions.

Conclusion

Hrishikesh Karvir stands out as an innovative inventor whose contributions to predictive modeling have the potential to transform clinical study methodologies. His patents reflect a deep understanding of statistical modeling and its applications in real-world scenarios.