Company Filing History:
Years Active: 2024-2025
Title: Alix Schmidt: Innovator in Machine Learning for Chemical Formulations
Introduction
Alix Schmidt is a prominent inventor based in Midland, MI (US), known for her contributions to the field of machine learning and chemical formulations. With a total of 3 patents, she has made significant strides in developing innovative methods that enhance the prediction of formulation properties.
Latest Patents
Alix's latest patents include "Hybrid machine learning methods of training and using models to predict formulation properties" and "Formulation graph for machine learning of chemical products." The first patent outlines a comprehensive approach to training machine learning modules that predict target product properties for chemical formulations. This involves constructing training data sets, performing feature selection, building and validating machine learning models, and optimizing these models for better predictions. The second patent introduces the concept of digital formulation graphs, which represent chemical formulations for use in machine learning models. These graphs can be processed by graph-based algorithms to produce feature vectors, allowing for the prediction of chemical product attributes without the need for physical production.
Career Highlights
Alix Schmidt is currently employed at Dow Global Technologies LLC, where she applies her expertise in machine learning to advance chemical formulation technologies. Her work has positioned her as a key player in the intersection of artificial intelligence and chemical engineering.
Collaborations
Alix collaborates with notable colleagues, including Ian Clark and Fabio Aguirre Vargas, to further enhance the capabilities of machine learning applications in their field.
Conclusion
Alix Schmidt's innovative work in machine learning and chemical formulations exemplifies the potential of technology to transform traditional industries. Her patents reflect a commitment to advancing scientific knowledge and practical applications in chemical product development.