Molecular Biosensor and Imaging Center (MBIC)
The primary objective of the MBIC is the development of advanced microscopy and imaging techniques, and fluorescent, photochemical, and biology probes for use primarily in biomedical applications and space exploration. A recently named National Technology Center for Networks and Pathways, the MBIC offers exciting opportunities for students interested in technology development.
Marcel Bruchez, Director
Pittsburgh NMR Center for Biomedical Research
The NMR Center, sponsored jointly by Carnegie Mellon and the University of Pittsburgh, advances state-of-the-art MRI and MRS processes for better understanding of tissue and organ function.
Chien Ho, Director
Center for the Neural Basis of Cognition (CNBC)
This Center focuses on models of cognitive function, brain imaging and molecular genetics of the nervous system. Carnegie Mellon faculty and graduate students from the Departments of Biological Sciences, Psychology, and Computer Science work jointly with researchers from the University of Pittsburgh. The goal of the CNBC interdisciplinary graduate program is to train neuroscientists who can combine diverse approaches to better understand higher cognitive function in the brain.
Center for Molecular Analysis (CMA)
The CMA features modern high-performance analytical instruments for use by the Department of Chemistry, the Department of Biological Sciences, and other departments and centers at Carnegie Mellon. Other research groups outside of the CMU campus may also use the CMA. In addition to the analytical instrumentation, the CMA provides collaborations, analytical assistance, and training. The CMA houses two NMRs, four photon spectrometers, and two mass spectrometers.
Mark E. Bier, Director
Pittsburgh Supercomputing Center
The Pittsburgh Supercomputing Center is a joint effort of Carnegie Mellon, the University of Pittsburgh and the Westinghouse Electric Company. This Center provides cutting-edge computational resources to the national community and advances computational science and computational techniques.
David Moses, Executive Director
Machine Learning Department
The Machine Learning Department is a cross-disciplinary center that includes the Departments of Statistics, Computer Science, Robotics, Biological Sciences, Philosophy and Psychology, as well as the Language Technology Institute, the Tepper School of Business, and the Center for the Neural Basis of Cognition. Research combines statistics with data mining and machine learning.
Manuela Veloso, Department Head
Computational Biology Department
The Computational Biology Department at Carnegie Mellon University seeks to realize the potential of machine learning for expanding our understanding of complex biological systems. A primary goal of the department is to develop computational tools that will enable automated creation of detailed, predictive models of biological processes, including automated experiment design and data acquisition. We anticipate that these efforts will not only lead to deep biological knowledge but also to tools for individualized diagnosis and treatment of cancer and other diseases. The Computation Biology Department builds on the strong history of computational and interdisciplinary research at Carnegie Mellon.
Robert F. Murphy, Department Head
Center for Nucleic Acids Science and Technology (CNAST)
The Center for Nucleic Acids Science and Technology (CNAST) is a community of Carnegie Mellon scientists and engineers unified by interests in the chemistry, biology and physics of DNA, RNA and PNA (peptide nucleic acid). CNAST has three pillars of strength: (1) RNA Biology, (2) Molecular and Experimental Tools and (3) Biotech/Nanotech. We invite you to explore this site to learn more about the cutting-edge research underway in CNAST.
Center for the Mechanics and Engineering of Cellular Systems (CMECS)
Living systems interact with their environment in a tremendous diversity of ways. Mechanical signals are now recognized as a major mechanism of communication, which can influence cell migration, growth, and differentiation. The vision of the Center for the Mechanics and Engineering of Cellular Systems is that a comprehensive understanding of the input and output of mechanical signals inside living cells, and between cells and the environment is essential in numerous areas. Significant improvements in the prevention and treatment of cancer, birth defects, and aging, as well as novel applications such as engineered tissues, nutrition and biological nanomachines, may be achieved by manipulating mechanical interactions in integrated biological systems at the molecular, cellular, and multi-cellular scales. Through leveraging the long-standing transdisciplinary culture of Carnegie Mellon University, the Center is built upon strengths in engineering, physics, life sciences, and computation across multiple departments and colleges.
Philip LeDuc, Director