Hello, I’m John Taylor. I’m a data science and machine learning leader specializing in fraud prevention, identity resolution, and the science of digital trust. I live in Portland, Oregon, where I work on building systems that help people and organizations interact more safely online.
Work
I currently serve as the Director of Data Science, Digital Intelligence at Socure, where I lead research on device intelligence, network signals, and behavioral indicators for fraud detection and identity verification. My focus is on designing reliable, real-time models that support risk decisioning at scale.
Before Socure, I led R&D efforts for Elephant’s Trust Scores product suite, created Pipl’s Trust Score, and managed digital data science research at TransUnion. Earlier in my career at iovation (later acquired by TransUnion), I developed the prototypes that became two major product lines: a predictive scoring service and a device-based recognition method used in advanced authentication systems.
Across these roles, I’ve worked at the intersection of machine learning, product development, identity science, and organizational leadership—helping teams turn complex data into resilient, ethically grounded solutions.
For more professional information, see my profile on LinkedIn.
Academic Background
I studied Logic and Computation at Carnegie Mellon, focusing on the philosophy of science and formal epistemology. I hold undergraduate degrees in philosophy and psychology with a minor in computer information systems. These foundations still shape how I think about modeling, inference, representation, and the limits of computational methods.
What is this Site For?
This website serves as a repository for some of my past writings and maintains my public presence as an individual. While the blogging era has transitioned to consolidated social media platforms, this site allows me to share my insights and experiences in a personal manner.
A Bit of Personal Background
I grew up in Columbia, California, in a family that often took in and rehabilitated animals—cats, dogs, raccoons, snakes, and whatever else needed care. It was an unconventional environment, but one that encouraged curiosity, adaptability, and responsibility early on.
Before entering the world of data and technology, I worked a wide range of jobs: woodcutter, landscaper, fast-food worker, tutor, GIS surveyor, logic grader, computer lab manager, and information technician. Those experiences grounded my perspective and helped shape how I communicate and solve problems today.
Outside of work, I’ve spent years training in Brazilian jiu-jitsu and hold a purple belt. I also have a longstanding interest in books, films, games, nature, movement, and lifelong learning—interests I outline in more detail here.