Pittsburgh Health Data Alliance, Carnegie Mellon University, University of Pittsburgh, UPMC, Center for Machine Learning and Health Carnegie Mellon University

Center for Machine Learning and Health at Carnegie Mellon University

The Center for Machine Learning and Health (CMLH) at Carnegie Mellon University is one of two centers launched under the umbrella of the Pittsburgh Health Data Alliance, formed in 2015 to unite Carnegie Mellon's unrivaled applied-computing capabilities, the University of Pittsburgh's world-class health-sciences research, and UPMC's clinical care and commercialization expertise. The CMLH supports great science and engineering that can lead to innovative health solutions and new businesses.

CMLH One-Page Overview

CMLH Proposals

Our door is always open for innovative ideas in the digital healthcare space! If you have an idea, read the Intent to Propose guidelines (PDF), write a proposal and email it to cmlh@cs.cmu.edu.

The CMLH proposals are for internal Carnegie Mellon faculty-led projects only. (Additional co-PIs or collaborators from Pitt and/or UPMC are welcome as research members.)


Fellowships in Digital Health

We invite applications annually for the Center for Machine Learning and Health (CMLH) Fellowships in Digital Health. Each fellowship provides one year of full support for a Carnegie Mellon graduate student pursuing cutting-edge research that advances digital health, broadly defined.
 

Since 2017, 36 graduate students have been awarded one-year fellowships by UPMC Enterprises through the Center for Machine Learning and Health. Read more about our current cohort on the 2020 fellows page. Learn about previous recipients on our 2017, 2018 and 2019 fellows pages.


Innovation and Support Services

The CMLH provides services that support PIs through the entire research process: support in the CfP development, post-funding project support and more. See our Services page for more details.


Project Funding

From bench to bedside, the CMLH funds projects that strive to bridge the gap between research and practice. All funded work at CMLH will have a clear line of sight to commercial application. Although many CMLH projects will involve data analytics and machine learning, our approach is technology agnostic. We welcome proposals that involve human-computer interaction, language technologies, information systems, computer graphics, computer vision, artificial intelligence, robotics, electrical engineering, economics, psychology, sociology, public policy, business administration, law, design, and any other disciplines that apply to healthcare.


News and Information

Visit our News and Information page for relevant articles and the latest PHDA news.

Contact the CMLH at cmlh@cs.cmu.edu or 412-268-6288.