Center for Advanced Biological Imaging Solutions (CABIS)
Provides access to instruments for performing a variety of advanced fluorescence microscopy techniques and flow cytometry. In the shared microscopy facility, there are state-of-the-art confocal microscopes, providing one-photon, two-photon confocal, fluorescence correlation spectroscopy (FCS), TIRF, photo-manipulation (activation/switching, ablation, FRAP), Spectra unmixing, and UV uncaging. The center also provides flow cytometry services for cell analysis.
Aleksandra Klimas, PhD
Center for the Neural Basis of Cognition (CNBC)
The Center for the Neural Basis of Cognition (CNBC) is a joint venture of the University of Pittsburgh and Carnegie Mellon University that leverages the strengths of the University of Pittsburgh in basic and clinical neuroscience and those of Carnegie Mellon in cognitive and computational neuroscience. The center supports a coordinated cross-university research and educational program of international stature, formalized in a graduate certificate program that enriches training for students in a wide variety of affiliated Ph.D. programs.
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