Nam Ho-Nguyen

  • Postdoctoral Associate

Optimization under uncertainty, data-driven optimization, machine learning, statistics

Xiaomin Zhang

Xiaomin Zhang

  • Graduate Student

Intersection of machine learning, statistics and optimization

Clint Harris

Clint Harris

  • Postdoctoral Associate

Causal inference relating to education policy

WID Affiliate Victor Zavala Earns Presidential Early Career Award for Scientists and Engineers

Zavala was nominated for contributions to the computational strategies applied to advanced control of power systems, and for service to the educational community as an enthusiastic professor and mentor. Three other UW researchers also received the award.

Jordan Nunez

Jordan Nunez

  • Undergraduate Student

Expedite process of transferring large power grid files using python web apps

Ling Kang

Ling Kang

  • Visiting Professor

Computer-aided molecular design

Yinglun Zhu

Yinglun Zhu

  • Graduate Student

Sequential decision making and statistical learning theory

Haoran Zhu

Haoran Zhu

  • Graduate Student

Theoretical aspects of mixed-integer optimization

WID Hubs Launch at Illuminating Connections Event

WID’s new hubs—Data Science, Multi-Omics, and Illuminating Discovery—represent a new path forward for collaborative research projects and fields.

Shengrui Yu

  • Visiting Professor

Injection molding process control / Micro-cellular foaming molding

Yue Xie

Yue Xie

  • Postdoctoral Associate

Nonconvex, stochastic, distributed optimization with application in data science

New Technology for Controlling Neural Tissue Manufacturing

A paper published in eLife this week by an interdisciplinary team at WID describes new methods for reproducibly manufacturing brain and spinal cord organoids with strict control over morphogenic and developmental processes.

Rahul Parhi

Rahul Parthi

  • Graduate Student

Mathematical Data Science

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