Olavarria, Argentina

Carolina Maria Spina

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Carolina Maria Spina. Retrieved from https://idiyas.com/inventor/carolina-maria-spina

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Carolina Maria Spina: Innovator in Machine Learning

Introduction

Carolina Maria Spina is a prominent inventor based in Olavarria, Argentina. She has made significant contributions to the field of machine learning, particularly in the area of interactive feature engineering. Her innovative approach combines domain knowledge with automatic machine learning, paving the way for more efficient data processing and model training.

Latest Patents

Carolina holds a patent titled "Interactive feature engineering in automatic machine learning with domain knowledge." This patent describes a method where a dataset containing features and their associated values can be received. Each feature in the dataset is mapped to a corresponding node in a knowledge graph, which represents the concept associated with that node. The knowledge graph can be traversed to identify a candidate node that is connected to at least one mapped node, which is not mapped to any feature in the dataset. A concept linked to the candidate node can then be identified as a new feature. This new feature, along with the existing features in the dataset, can be utilized in a machine learning model pipeline to select a subset of features for training a machine learning model.

Career Highlights

Carolina is currently employed at International Business Machines Corporation (IBM), where she continues to develop her expertise in machine learning and data science. Her work focuses on enhancing the capabilities of automatic machine learning systems, making them more adaptable and efficient.

Collaborations

Carolina has collaborated with notable colleagues such as Dakuo Wang and Udayan Khurana. These partnerships have allowed her to expand her research and contribute to innovative projects within the field.

Conclusion

Carolina Maria Spina is a trailblazer in the realm of machine learning, with her patent showcasing her innovative approach to feature engineering. Her contributions are shaping the future of automatic machine learning, making her a significant figure in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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