Denver, CO, United States of America

Tyler Heinl

This inventor holds 1 USPTO granted patent and 1 published patent application, plus 1 CIPO patent. Top assignee: Alteryx, Inc.. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Tyler Heinl in Hybrid Machine Learning

Introduction

Tyler Heinl is an innovative inventor based in Denver, CO (US). He has made significant contributions to the field of machine learning, particularly through his patented work on hybrid machine learning processes. His unique approach combines automatic machine learning with user interaction, allowing for refined predictions based on new data.

Latest Patents

Tyler holds a patent for a hybrid machine learning model. This model is trained through a hybrid machine learning process, where an automatic machine learning process is performed on a dataset to generate a predictive model. The process utilizes a pipeline to train the model and make decisions at various steps. After training, a representation of the pipeline is generated and presented to the user via a user interface. This interface enables users to modify decisions made during the automatic machine learning process. Any modifications received from the user are then used to refine the trained model, which is subsequently deployed for making predictions based on new data. Tyler's innovative approach has led to the development of 1 patent.

Career Highlights

Tyler is currently employed at Alteryx, Inc., where he continues to push the boundaries of machine learning technology. His work has garnered attention for its practical applications and user-centric design.

Collaborations

Tyler collaborates with talented individuals such as Roland Manfred Hochmuth and Dylan Blanchard, contributing to a dynamic work environment that fosters innovation.

Conclusion

Tyler Heinl's contributions to hybrid machine learning exemplify the intersection of technology and user engagement. His patented innovations are paving the way for more intuitive and effective machine learning applications.

Profile summary based on public USPTO records.
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