Want to thrive in an AI-first world? Our FREE Survival Skills Series gives you new tools to add to your kit.

AI is already reshaping hiring and talent development. Download the State of Tech Talent 2026 for global insights on what's working.



    Begin your learning Pathway

    AI Fundamentals

    Take individual courses or combine them to build end-to-end AI capability for the modern workplace.



    Begin your learning Pathway

    AI Data Analytics

    Take individual courses or combine them to master the tools and methodologies that power modern AI data analytics.



    Begin your learning Pathway

    AI & Machine Learning

    Take individual courses or combine them to master the tools and methodologies that power production-grade AI applications.



    Begin your learning Pathway

    AI Product Management

    Take individual courses or combine them to master the frameworks and methodologies that power successful AI-driven products.



    Begin your learning Pathway

    AI Software Engineering

    Take individual courses or combine them to master the complete AI software engineering stack.



    Begin your learning Pathway

    AI Experience & Design

    Take individual courses or combine them to master the tools and methodologies that power modern AI product design.

    Get More Info
    Carolyn Phillips Photo

    Carolyn Phillips

    Data Scientist, Capital One

    Chicago

    Dr. Carolyn L. Phillips is a Data Scientist at Capital One, part of a technology team building a next generation customer matching platform that is designed to operate for millions of customers. Previously she was a Lead Data Scientist at a startup using machine learning to detect fraudulent and manipulative behaviors in the financial markets, a staff scientist at Argonne National Laboratory in the Mathematics and Computer Science Division, and a Fellow of the Computation Institute at the University of Chicago.

    Dr. Phillips’ research has focused on designing algorithmic solutions to find patterns in complex systems. Her research has covered topics from liquid crystals to superconductors, from nanoparticle clusters to quasicrystals, and from machine learning to study self-assembling crystals to algorithms for solving the mathematical filling problem.

    She received a BS in Mathematics from MIT, a MS in Mechanical Engineering from MIT, and a MSME in Mechanical Engineering from the Naval Postgraduate Program. She received a PhD from the University of Michigan in Applied Physics and Scientific Computing as a Department of Energy Computational Science Graduate Fellowship. She then joined Argonne National Laboratory as the Aneesur Rahman Postdoctoral Fellow with a joint appointment in the Computational Institute at the University of Chicago.

    Coming up near you

    Want to teach at ga?

    Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time
or part-time.

    Learn More