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.

The Experience

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.

ID Analytics Scientist Spotlight – Mike Lazarus

Mike Lazarus, Chief Scientist
Background and Role at ID Analytics:

As an expert in predictive and behavioral modeling and algorithmic Mike Lazarus software development, Mike provides technical leadership to our analytical modeling development team.

Mike has a keen interest in making sure we are extracting as much value as we can out of data for our clients. That’s not as easy as it may sound. His team analyzes the wealth of data available to ID Analytics to apply each and every relevant piece of information using scalable machine learning technologies toward solving problems that our clients care about most. He is very passionate about finding new methods for continuous model improvements that minimize customer impact, be that updates or regulatory review processes. Mike remains focused on creating more clarity and transparency in our solutions to meet both client and regulatory demands.

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ID Analytics Scientist Spotlight – Sunhyoung Han

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.

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ID Analytics Scientist Spotlight – Darwin Villagomez

Darwin Villagomez, Director of Analytics
Background and Role at ID Analytics:

Darwin Villagomez is a director of analytics for ID Analytics. Early in his career, he worked as a geophysicist specializing in the study of volcanos and earthquakes. According to Darwin, there are many similarities in the math and science of predicting seismic events and what we do here at ID Analytics.

Darwin is interested in understanding consumer trends and behavior in the aggregate, and transforming this insight into solutions that help make it easier for consumers to gain access to credit. To achieve this, he and his team model how people think, make decisions, and behave in different circumstances. These models help them better understand consumer credit behavior and how people react when experiencing different life changes and events. He likes that at the core our business helps protect consumers from fraud and provide them with better access to credit.

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Our Latest Research

a new way of visualizing the entire space of risk to help evaluate user intent.
Deep Neural Nets
Inspired by visions systems, deep learning allows unsupervised formation of internal structures in data.
Heirarchical Clustering
the ability to smoothly and accurately move across hierarchical entity levels.

Learn more >