This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Adam Evan Foster: Innovator in Causal Inference Models
Introduction
Adam Evan Foster is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of causal inference models, particularly in the realm of efficient real-world experimentation. His innovative approach aims to optimize information gain through advanced experimental design.
Latest Patents
Adam holds a patent titled "Efficient real-world experimentation using causal inference models." This patent describes a method for determining an experiment design for multiple physical experiment entities. The design is based on a training loss that depends on a critic function and an action parameter associated with each entity. The goal is to enhance information gain concerning various test entities. The training loss encodes a predicted information gain between a predicted experiment outcome and a predicted test quantity. The predicted outcomes are sampled from a joint probability distribution based on the context of the entities. A numerical output is computed using the critic function applied to the predicted outcomes and test quantities. Adam has 1 patent to his name.
Career Highlights
Adam is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work focuses on leveraging causal inference models to improve experimental designs and outcomes.
Collaborations
Adam has collaborated with talented individuals such as Cheng Zhang and Desislava Rosenova Ivanova. Their combined expertise contributes to the advancement of their projects and the overall success of their endeavors.
Conclusion
Adam Evan Foster is a pioneering inventor whose work in causal inference models is shaping the future of experimental design. His contributions are invaluable to the field, and his ongoing efforts at Microsoft Technology Licensing, LLC, promise to yield further innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
