Expanding our understanding of identity risk, consumer behavior and the potential of new technology. As our dedicated research group, the analytical modeling team at ID:A Labs is focused on furthering our technology strategy and innovation through ongoing research and analysis on developments in consumer behavior, identity and credit-related issues and innovations in analytics around modeling and machine learning.
As a valued ID Analytics customer, you’ll have exclusive access to ID:A Labs for an exploration of our latest research findings during an onsite visit. Combining proprietary data from the ID Network® with advanced science and modeling techniques, we provide in-depth visibility into consumer behavior and unique insight into your data.
Meet Our Scientists
ID:A Labs is made up of a multidisciplinary group of mathematicians, computer scientists, economists, financial experts, cognitive scientists and advisors from ID Analytics, who are dedicated to exploring new methods to solve the complex problems that impact our customers. Meet the team.
Sunhyoung Han, Senior Principal Scientist
Background and Role at ID Analytics:
Sunhyoung Han is a senior principal scientist with ID Analytics. She applies her passion for data science to finding the truth and order behind the messiness of data. Sun enjoys analyzing data to understand how patterns of consumer behavior impact our clients and the solutions we develop for them. Sometimes her discoveries may lead to a new predictive model, or they may help a client optimize their policies to improve results.
Sun describes working at ID Analytics as different from other places she has worked because our data scientists have the freedom to make their own contributions to innovation and new product development. She believes that this approach stimulates people to think about problems in various new ways while sharing a common vision and direction. Data scientists at ID Analytics are encouraged to learn about all of the different business problems that we solve for our clients and to work fluidly across projects to offer varied perspectives.read this post
Our Latest Research
a new way of visualizing the entire space of risk to help evaluate user intent.
Inspired by visions systems, deep learning allows unsupervised formation of internal structures in data.
the ability to smoothly and accurately move across hierarchical entity levels.