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.
2017 Call for Proposals
The CMLH is pleased to announce its 2017 Call for Proposals. This is an internal call for CMU faculty only. Full details are available in the following documents:
- CFP Announcement with details.
- Intent to Propose — due Monday, September 18.
- Proposal Template — final submissions due Monday, October 30.
Fellowships in Digital Health
Fourteen graduate students have been awarded one-year fellowships by UPMC Enterprises through the Center for Machine Learning and Health, beginning in fall 2017. Each fellowship provides full support for one year for a student who is pursuing cutting-edge research that advances digital health, broadly defined. Check out our Fellows page to read more about the new recipients.
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.
Funding is available at two levels — awards for early-stage research projects and multiyear awards for follow-on projects that have demonstrated clear commercial potential.
In addition to offering funding, CMLH provides support for funded projects in the form of datasets, access to patients and doctors for empirical validation of new concepts, and entrepreneurial mentorship.
News and Information
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Contact the CMLH at email@example.com or 412-268-6288.