This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Stats 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: Aiman Sherani and Graph-Based Pitch Prediction.
Introduction
Aiman Sherani is an inventor based in Chicago, Illinois, with one patent listed. His work includes a system for predicting the type of pitch a pitcher is likely to deliver next, using graph-based representations and a graph neural network.
Latest Patents
Sherani’s patent, “Graph Based Method of Next Pitch Prediction,” describes a computing system that processes pitch-by-pitch data alongside game context information. It converts these inputs into graph-based representations and trains a graph neural network to predict pitch types. The trained model can then use current pitch and game-context information to predict the next pitch.
Career Highlights
Sherani is associated with Stats LLC. His patent applies machine-learning techniques to baseball data, connecting the sequence of pitches with the context of each game situation.
Collaborations
The provided information lists Daniel Edison Marley and Matthew Thomas O’Connor as Sherani’s coworkers. It does not specify their roles in developing the patented system.
Conclusion
Aiman Sherani’s listed patent combines game-context data, graph representations, and neural networks to address next-pitch prediction in baseball.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile