Kristen Sosulski is a Clinical Professor of Technology at NYU Stern School of Business, Executive Director of the NYU Stern Learning Science Lab, NYU Stern Master of Science in FinTech Capstone Director, Fubon Innovation Scholar, and the author of three books on data visualization and learning design. She holds an Ed.D, Ed.M, and M.A. from Columbia University and a B.S. from NYU Stern.

She sits at the intersection of three things that matter most right now: AI, data, and how people learn.

At NYU Stern, she teaches Data Visualization, Python and Software Development (using Agentic AI), Databases for Business Analytics, Dealing with Data (using AI and Python), and R Programming — and leads a series of global experiential courses for Executive MBA, MBA, Master of Science in Business Analytics and AI, Master’s in Management, and Master of Science in FinTech students in China, Japan, Panama, Peru, Singapore, and the U.K.

As Executive Director of the NYU Stern Learning Science Lab, she leads a team that designs immersive learning experiences for business education through the purposeful use of technology.

WHAT I DO

Speaking & Workshops
Kristen brings her research and classroom practice to corporate events, conferences, and universities — speaking and facilitating workshops on AI in higher education, data visualization, and business analytics. Recent engagements include IBM and Guardian Life.

Data Visualization
15+ years teaching data visualization to MBA students, executives, and organizations. Her award-winning book Data Visualization Made Simple is used at universities and companies worldwide. It was the winner of the Gold Axiom Book Award for Best Business Reference.

BOOKS

Want to work together?  sosulski@gmail.com | linkedin.com/in/sosulski