Computers are now predicting stock market changes, detecting cancer, and translating documents—all thanks to the power of machine learning and artificial intelligence. At the forefront of this field are Hopkins engineers and computer scientists, building better algorithms to tackle problems once thought to be too complex for computers to solve.

One of the department’s greatest strengths is applying data science and analytics to health care applications. Projects include using wearables data to monitor and prevent health problems, improving diagnostics, and turning patient care into precision medicine. Notably, our researchers quickly shifted focus to contribute to the fight against COVID-19 by developing prediction models to track the pandemic and analyzing data to understand health disparities, among other projects.

Research Centers and Labs

Data Science and AI Institute

The Johns Hopkins Data Science and AI Institute focuses on research and education in data science, machine learning, and artificial intelligence across diverse fields, including neuroscience, precision medicine, climate resilience, sustainability, public-sector innovation, and social sciences.

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.

JHU Machine Learning Group

Our machine learning community seeks to push forward the state of the art in terms of theory, algorithms, models, and applications with an eye toward solving the most important challenges of our day.

Malone Center for Engineering in Healthcare

The Malone Center for Engineering in Healthcare brings together engineers, clinicians, and care providers who are leveraging data analytics in novel ways, pioneering new technologies, and applying systems engineering principles to speed the deployment of research-based innovations that will enhance the efficiency, effectiveness, and consistency of health care.

Mathematical Institute for Data Science

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.


Putting trust to the test

Hopkins researchers unveil new uncertainty quantification methods in an effort to promote appropriate trust in AI use.