Jeff Jenkins, PhD, Co-founder and Chief Innovation Officer of NeuroID

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Co-founder and Chief Innovation Officer of NeuroID (previously Chief Technology Officer of the behavioral analytics company)

About Dr. Jeff Jenkins
Dr. Jeff Jenkins is the Co-founder and Chief Innovation Officer at NeuroID, a behavioral analytics company. NeuroID helps the financial services industry solve the global Digital Identity Crisis by enhancing their fraud detection stack with pre-submit data. Previously Chief Technology Officer of Neuro-ID, Jenkins is an award-winning entrepreneur, professor, and technology innovator. He is a world-renowned expert in using human-computer input devices to better understand cognitive and emotional states. His patented research has been published in leading academic, business, and technology journals and has been applied to a variety of settings to improve fraud detection, risk assessments, behavioral information security, and system usability. Dr. Jenkins is one of the foremost cited thought leaders in the space with thousands of Google Scholar citations.

About NeuroID
NeuroID is solving the global Digital Identity Crisis. The industry-redefining behavioral analytics company applies patented neuroscience technology to measure how familiar users are with their inputted PII before they click ‘submit’ and enter a company’s fraud stack. NeuroID analyzes this pre-submit data in real-time and determines if users are genuine or risky, without adding any friction. This proprietary process enables deep visibility into a user's unique digital interactions and helps optimize identity verification orchestration, yet never collects customer data. NeuroID’s dynamic behavioral intelligence is fully compatible with all anti-fraud software and is endlessly scalable to seamlessly protect against advancing fraud technology. Visit neuro-id.com to learn how fintechs, insurers, ecommerce, traditional banks, and others use ID Crowd Alert™and ID Orchestrator™ to help safeguard their most valuable asset: the customer onboarding funnel.

Brief History of NeuroID
In 2010, the two founders, Dr. Jeff Jenkins and Dr. Joe Valacich, discovered a key link between the nuanced movements and behaviors of digital form interactions and the mindset and intention of the end user. Years of R&D evolved that concept into best-in-class behavioral analytics translating “digital body language” in real time, into meaningful, actionable and predictive metrics. Having captured and translated more than a trillion behavioral data points in commercial production, NeuroID’s technology delivers real-time predictive scores, data attributes for decisioning and predictive modeling, and the industry’s first digital friction index. It leverages nearly a decade of research and patented discovery to monitor, analyze and reveal the state of mind, intent and friction of each customer in real time as they interact with a website, form, or application. This new visibility and actionable insight empowers brands to personalize and enhance the digital customer journey and reduce unnecessary friction.

Dr. Jenkins is also a professor of Information Systems at Brigham Young University and a world-renowned expert in detecting human states using computer input devices. He has developed and extensively validated algorithms to detect deception, cognitive conflict, uncertainty, and emotional reactions while people are using electronic devices. His research has been published in top academic journals and conference proceedings and explores methodologies for detecting and mitigating insider security threats. As an expert in scalable application development, cloud computing, and software-as-a-service (SAAS) platforms, Dr. Jenkins has extensive web application development experience. He has been a software engineer in both the public and private sectors and has applied his expertise to a variety of settings to improve fraud detection, risk assessments, behavioral information security, system usability, and online learning. He earned his Master’s degree in Management Information Systems from Brigham Young University and his PhD in Information Systems Management from the University of Arizona.