Building data-intensive systems that are more scalable, more robust, and more predictable. He draws from advanced statistical models to deliver practical database solutions to real-world problems. In particular, he adapts concepts and tools from applied statistics, optimization theory, and machine learning.
COntact
WebsiteLocation
Ann Arbor
Methodologies
Causal Inference / Data Mining / Data Visualization / Databases and Data management / Machine Learning / Statistics
Applications
Complex Systems / Computer Science / Economics, Finance and Business / Engineering / Informatics