Seattle, Washington, United States
I have industry experience as well as a deep understanding of the theory of data science, with a PhD in Statistics and a Masters in Applied Mathematics. Instead of fitting the problem to the the available tools, I enjoy looking for innovative combinations of tools that are optimal for the specific problem at hand.
Creating online adaptive multiple-choice tests to provide not only a single ability score, but also constructive feedback about areas of strengths and weaknesses.
Engro Digital was an incubated startup within Engro Corporation. As it matured, it has tranformed itself into Empiric AI, and independent company. The focus is still very much the same, although it is more product focused: Creating products that use machine learning/data science/computer vision to assist industrial plants in optimizing their operations.
Providing solutions to industrial plants that use machine learning/data science to optimize operations. Typically this involves obtaining historical sensor data from a running plant. Applying machine learning methods to observe patterns and make predictions. Getting live data from sensors, and giving real-time feedback. The goal can be to stay within safety limits, provide early health warnings, or estimates of remaining useful life, as well as to optimize production.
Teaching and Research in Department of Computer Science and Department of Mathematics
Department of Statistics