Our Team

Learn about how our unique combination of experience and training in machine learning, app development, and strategy can help grow your business.


Brock Ferguson

Co-Founder, Data Scientist, & Engineer

Brock holds a Ph.D. in Cognitive Psychology and a certificate in management from the Kellogg School of Management at Northwestern University. Prior to co-founding Strong, Brock founded and led two e-commerce and marketing software companies to successful acquisitions. He has also served as a consultant to hundreds of companies and chief advisor to a growing private equity firm. Brock integrates his training in technology, business, and statistics to both design and implement effective solutions for businesses of all sizes.


Jacob Zweig

Co-Founder, Data Scientist, & Engineer

Jacob holds a Ph.D. in Neuroscience and is an expert in using deep learning to understand complex dynamic processes. In his research, he developed a toolbox to decode electriophysiological signals using recurrent convolutional neural networks. Jacob now applies these same concepts to solve problems in business, with a focus on marketing strategies and customer-facing algorithms. Prior to co-founding Strong, Jacob was a user experience consultant, working with clients such as LG, 3M, Verizon, Duracell, Motorola, and Nokia.


Jacob Dink

Data Scientist

Jacob did his doctoral studies in Psychology, an M.S. in Statistics, and a certificate in management from the Kellogg School of Management at Northwestern University. Jacob is an expert in applying statistical approaches to understanding customer lifecycles; for example, predicting when and how churn happens and how to prevent it, or forecasting lifetime value and how to increase it. Jacob is also an expert in probabilistic modeling and leveraging big data to model and forecast risk.


Andrew Kruger

Data Scientist & Engineer

Andrew holds his Ph.D. in Physics from the University of California, Davis where he developed data processing, modeling, and analysis pipelines for research in astrophysics. His work experience includes institutions such as NASA, JPL, and various universities and observatories around the world. Andrew is an expert in using machine learning in statistical and predictive models; in using computer vision and neural networks for object recognition and tracking; and in engineering applications such as electronics instrumentation, prototyping, and automation.

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