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We analyze and mine complex, heterogenous data to explore, characterize, and understand the underlying states / processes. Our approaches are based on statistical machine learning and data mining that work on a variety of real-life applications with a focus on healthcare applications.

We are always looking for motivated and hard-working students (graduate and undergraduate students) to do research with us. If you are at Emory and interested in joining our lab, send an e-mail titled "More Data More Fun" with your CV, unofficial transcript, and your particular research interest to Joyce Ho. Note that we will only consider those who have taken either Data Structure & Algorithms (CS323) or Machine Learning (CS534). If you are not at Emory yet, please apply to the CSI graduate program first.

• Mani Sotoodeh (Spring 2017 - Present)
• Huan He (Spring 2017 - Present)
• Jing Ma (Spring 2017 - Present)
• Zelalem Gero (Summer 2017 - Present)
• Eric Lee (Spring 2018 - Present)

• Tim Davidson (Spring 2017 - Present)
• Chenxiao Wang (Summer 2017 - Present)
• Jian Chen (Summer 2017 - Present)
• Colin Jiang (Fall 2017 - Present)

• Junyuan (Joe) Ke (Fall 2016 - Spring 2018): PhD student, UT Austin
• Weixing (Trevor) Tang (Fall 2017 - Spring 2018): Master's student, Georgia Tech
• Zining Wang (Summer 2016 - Summer 2017): Master's student, UC San Diego
• Jiayu Yao (Spring 2016 - Spring 2017): PhD student, Harvard

• Jiayu Yao's project on Kaggle's Airbnb Challenge
• Junyuan (Joe) Ke's project on Driven Data's Blood Donation Challenge
• Hyun Jae Cho's project on Driven Data's Dengue Fever Challenge
• Jonathan Gomez Martinez's on Kaggle's MNIST recognition