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, Principal Data ScientistBrock 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, Principal Data ScientistJacob 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 ScientistJacob 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 ScientistAndrew 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.
Jade Cheng
Data ScientistJade holds a Ph.D in Computer Science from Aarhus University, Denmark, where she developed models and software in the field of population genetics. She specializes in making quantitative predictions through numerical optimizations and machine learning techniques, such as hidden Markov models and structure analysis. Prior to joining Strong, Jade worked at the Natural History Museum of Denmark in Copenhagen and the University of California, Berkeley.
Andrew Hannigan
Data ScientistAndrew holds a B.S. in Computer Science from Dartmouth College. Prior to joining Strong Analytics, he worked on the research team at a quantitative fund, MDT Advisers, and built machine learning and portfolio optimization algorithms that manage $3.5Bil in assets. He has previously worked in web development for Gilt Groupe and has also worked as a machine learning advisor for several startups. Andrew is an expert in applied machine learning, algorithm design, backtesting systems, and quantitative finance.
Noah Salas
Data ScientistNoah attended Purdue University and the University of Illinois, where he received his M.S. in Statistics. Noah is an expert in statistical causal inference, predictive modeling, and applied optimization techniques. Before joining Strong Analytics, he worked in the pharmaceutical and insurance industries.
Juan Llanos
Data ScientistJuan attended Florida State University, where he received his M.S. in Computational Science and B.S. in Mathematics. Juan specializes in researching and developing machine learning models, leveraging deep learning and natural language processing. Prior to joining Strong, Juan worked on text classification models for e-commerce transactions, generative models for synthetic time series generation, and 3D virtual environments for enhancing situational awareness in people with visual impairments.