Tag: machine learning

Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications. Researchers at WID are developing new methodology and theory for extracting useful information from data which may be noisy or high-dimensional, contain missing elements, or come from a variety of different sensors or streaming input.

Machine learning at WID plays a key role in problems as diverse as understanding the immune system, finding the funniest cartoon captions, and developing driverless cars.

Machine learning is an important component of WID’s Data Science Hub.

Jack Wolf

  • Undergraduate Student

Machine learning and optimization.

Changyu Gao

  • Graduate Student

Optimization algorithms and machine learning

Aryan Adhlakha

  • Undergraduate Student

Trait recognition of bacterial genomes for the detection of toxicity

Zhaoyi Zhang

  • Undergraduate Student

Use machine learning model to predict the antibiotic resistance of certain bacteria

Oscar Zhang

  • Undergraduate Student

Automated API toolkit for data ingestion from dairy farms to aggregated database for data analytics

Kushin Mukherjee

  • Graduate Student

Modeling how we learn and represent visual concepts and use them to perform visual tasks

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

Jon Eckhardt

Jon Eckhardt

Associate Professor

  • Discovery Fellow

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

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.