Martin Slawski

Titles and Organizations

Assistant Professor, Statistics, College of Engineering and Computing

Contact Information

Phone: 703-993-1690
Campus: Fairfax
Building: Nguyen Engineering Building
Room 1708
Mail Stop: 4A7

Personal Websites

Biography

Given his background in both Statistics and Computer Science, Martin Slawski is interested in tackling problems arising at the interface of the two fields, an area that is nowadays often referred to as "Data Science." In his research, Slawski studies computationally tractable methods that yield compact representation of high-dimensional data. One recent focus involves randomized methods of dimensionality reduction and the associated computational-statistical trade-offs. Slawski also enjoys working on applications in interdisciplinary teams, in particular on problems involving biological data from high-throughput experiments.  

Research

Research Interests

High-dimensional statistical inference
Dimension reduction
Optimization methods for data analysis
Statistical and computational trade-offs

Degrees

  • PhD, Computer Science, Saarland University
  • MSc., Statistics, LMU München