IRisk Lab Research
IRisk Lab research projects collaborate with company partners to solve real world issues by applying mathematical models and statistical methods. This also provides students valuable opportunities to engage with industry and apply their knowledge to real world scenarios.
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Recent Projects
Spatiotemporal Modeling on Foot Traffic Data to Unlock Auto Insurance Geo-risks
Foot traffic data is captured by various sources, such as smartphone APP, telematics devices in…
Representation Learning for Insurance Products
The insurance industry has long known the importance of data, and the success of its…
Insurance Privacy Preservation in Federated Learning Collaboration
Due to privacy and data confidentiality concerns, today’s insurance industry is rife with the protectionism…
FinTech Regulatory Sandbox
Regulatory sandbox is a framework in which businesses test out innovative business models, product, services…
Past Collaborations
Federated Learning for Facilitating Privacy Preserving Collaboration
Due to privacy and data confidentiality concerns, today’s insurance industry is rife with the protectionism…
Building an NLP-Powered Repository and Search Tool for Cyber Risk Literature Project
Since the time when cyber insurance was first introduced to the market, there has been…
COUNTRY Financial Business Owner’s Policy (BOP) Loss Predictive Model
For the insurance industry, the potential to understand customers and businesses using new dimensions represented…
Insurtech Innovation via Natural Language Processing (NLP) Project
For the insurance industry, the potential to understand customers and businesses using new dimensions represented…