Mathematics of Data, Computation, and Inference

Faculty

• March Boedihardjo
• Longxiu Huang
• Mark A Iwen
• Elizabeth Munch
• Ekaterina A Rapinchuk
• Rongrong Wang
• Guowei Wei

The research interests of the Mathematics of Data, Computation, and Inference group encompass applied analysis, applied and computational geometry and topology, applied probability and combinatorics, and the development of state of the art numerical schemes applied to data analysis and inference problems stemming from a wide variety of applications.

Areas of particular focus include:

• Mathematical foundations of machine learning and data science
• Topological Data Analysis
• Mathematical biosciences
• Differential Privacy
• Computational harmonic analysis with applications to inverse problems, imaging, and signal processing
• Geometric and graphical models for high dimensional data analysis
• Fast, parallel, and distributed algorithms for solving big data problems
• Drug discovery, bioinformatics, and quantitative systems pharmacology
• Machine learning and multiscale physics
• Analysis of gene regulatory networks
• Smooth extension, interpolation, and regression of data, with efficient algorithms

Group members can be contacted at DCI@math.msu.edu