WID Researchers Showcase “Virtual Diary Farm Brain” at American Dairy Science Association Meeting

By combining information from many farms, predictive models and analytic tools can be developed to help producers and consultants navigate, visualize. and analyze the data they are getting from an increasing number of sources to support better management decisions.

Rohit Kannan

Rohit Kannan

  • Postdoctoral Associate

Algorithms for optimization under uncertainty

Jiajie Shen

Jiajie Shen

  • Graduate Student

Nonlinear Optimization, Optimization Modelling

Julia Lindberg

Julia Lindberg

  • Graduate Student

Applications of algebra to topics in electrical engineering

Carla Michini

Carla Michini

Assistant Professor

  • WID Affiliate

Polyhedral methods and algorithms for combinatorial problems

Po-Ling Loh

Po-Ling Loh

Assistant Professor

  • WID Affiliate

High-dimensional statistics, compressed sensing, nonconvex optimization, robust statistics, and network inference.

Jeff Linderoth

Jeffrey Linderoth

Professor and Department Chair

  • Discovery Fellow

Models and Algorithms for Large-Scale Numerical Optimization

Rui Chen

Rui Chen

  • Graduate Student

Stochastic Programming

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

  • Postdoctoral Associate

Metric learning and active machine learning, focussed on reducing the sample complexity of learning.

Adam Christensen

Adam Christensen

Assistant Scientist

  • Research Staff

Building optimization models that help untangle issues of environmental sustainability.

Alberto Del Pia

Alberto Del Pia

Associate Professor

  • WID Faculty

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