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

Claudia Solís-Lemus

Assistant Professor

  • WID Faculty

My research involves the development of statistical models to answer biological questions.

Kudirat Alimi

  • Undergraduate Student

My work consists of completing a variety of administrative tasks that promote the VE Lab's projects.

Noah Stafford

  • Graduate Student

Exploring multitask learning algorithms for single cell network inference

Ryan Herringa

Ryan Herringa

Associate Professor

  • Discovery Fellow

Neurodevelopmental mechanisms of stress and mental illness in youth

Jordan Nunez

Jordan Nunez

  • Undergraduate Student

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

Jon Eckhardt

Jon Eckhardt

Associate Professor

  • Discovery Fellow

Entrepreneurship, including firm formation, venture finance, and university driven entrepreneurship

Ling Kang

Ling Kang

  • Visiting Professor

Computer-aided molecular design

Yinglun Zhu

Yinglun Zhu

  • Graduate Student

Sequential decision making and statistical learning theory

Bryce Sprecher

Bryce Sprecher

  • Research Staff

Acquire, process, interpret, and display spatial data for education, insight, and experience.

Haoran Zhu

Haoran Zhu

  • Graduate Student

Theoretical aspects of mixed-integer optimization

Bochao Li

Bo Chao Li

  • Undergraduate Student

Using data visualization tool HiGlass and matrix factorization to process biomedical data

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

Erika Da-Inn Lee

Erika Lee

  • Graduate Student

Developing computational tools to learn the principles of genome organization

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