Machine Learning, AI, and Data Science

Machine Learning & Data-Intensive ComputingResearch Labs & Institutes

Machine Learning Group
Our computational learning community aims to build systems that approach human intelligence, and which comb through massive datasets to answer questions that are beyond the capability of the unaided human mind.


The Mathematical Institute for Data Science (MINDS) at Johns Hopkins University brings together a multidisciplinary team of mathematicians, statisticians, computer scientists, and engineers to develop the fundamental mathematical, statistical, and computational principles for the analysis and interpretation of massive amounts of complex high-dimensional data. The institute will also help develop multidisciplinary educational programs on the foundations of data science, and foster interactions among data scientists through a series of collaborative research workshops and summer schools.

Institute for Data Intensive Engineering and Science  
The IDIES mission is to coalesce data-intensive science efforts at Johns Hopkins into a well-focused center of activity, and to propel various fields towards new discoveries and breakthroughs.



Raman Arora

Alexis Battle

Vladimir Braverman

Randal Burns

Kevin Duh

Jason Eisner

Suchi Saria

Alex Szalay

Mark Dredze

Benjamin Van Durme

Mathias Unberath

Alan Yuille


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