Projects

Latent Representation and Tiered Indexing for Scalable and Efficient Data Product Creation from Large Data Lakes

This project focuses on developing advanced techniques for creating scalable and efficient data products from large data lakes through latent representation learning and tiered indexing strategies.

Explainable Risk and Coverage with Computable Insurance Contracts

This project explores the development of computable insurance contracts that provide explainable risk assessment and coverage analysis, leveraging semantic technologies and knowledge graphs.

Privacy-Preserving Synthetic Data Generation for Financial Machine-Learning Tasks

This project investigates methods for generating privacy-preserving synthetic financial data that can be used for machine learning tasks while maintaining data confidentiality and regulatory compliance.

Cascade-Adjusted Risk Analytics

This project develops advanced risk analytics methodologies that incorporate cascade effects and interdependencies in financial systems, enabling more accurate risk assessment and management.