Scott Sievert

Scott Sievert

  • Graduate Student

Large scale machine learning, distributed optimization and active learning.

Akhil Sundararajan

  • Graduate Student

Convergence analysis of convex optimization algorithms using techniques from robust control theory

Blake Mason

Blake Mason

  • Graduate Student

Machine learning techniques, such as metric learning, to analyze human generated data

Alex Peer

Alex Peer

  • Graduate Student

Perception of space in virtual and augmented reality

Adam Christensen

Adam Christensen

Assistant Scientist

  • Research Staff

Building optimization models that help untangle issues of environmental sustainability.

Karen Schloss

Karen Schloss

Assistant Professor

  • WID Faculty

Visual perception and cognition in information visualization and virtual reality.

Alberto Del Pia

Alberto Del Pia

Assistant Professor

  • WID Faculty

Design of exact and approximate algorithms for mixed-integer optimization problems

Laurent Lessard

Laurent Lessard

Assistant Professor

  • WID Faculty

Theory research at the intersection of robust control and large-scale optimization.

Lauren Michael

Lauren Michael

Research Computing Facilitator, Center for High Throughput Computing

  • Discovery Fellow
  • Research Staff

Facilitating compute-driven transformations to research projects via personalized consulting.

Ross Tredinnick

Ross Tredinnick

Systems Programmer

  • Research Staff

Immersive visualization, 3D environment scanning, virtual reality research and development

Stephen Wright

Steve Wright

George B. Dantzig Professor of Computer Sciences

  • Discovery Fellow

Optimization algorithms with applications to data analysis and other areas.

Michael Ferris

Michael Ferris

Jacques-Louis Lions Chair and Data Science Hub Leader

  • WID Faculty

Optimization methods and data modeling for large scale problems in science, engineering and economics