The Merck Computational Biology and Chemistry Program |
Program Faculty |
Ziv Bar-Joseph
Center for Automated Learning and Discovery
Analyzing time series gene expression data, optimal leaf ordering, genetic regulatory networks.
Web page
Guy Bleloch
Computer Science Department, and
ALADDIN Center
Adaptive Computation, Data Structures for Graph Compression
Web page
Dannie Durand
Department of Biological Sciences; courtesy appointment in the Computer Science Department
Computational modeling of whole genome evolution
Biol. Sci. web page; Comp. Sci. web page
Michael Erdmann
Computer Science Department
Robotics: mechanics of manipulation, nonprehensile manipulation, parts assembly, cooperating robots, planning under uncertainty, probabilistic strategies, sensing strategies, and automatic planning. Computational Biology: protein folding and structure determination by NMR
Web page
Christos Faloutsos
Computer Science Department and Center for Automated Learning and Discovery
Data mining; Fractals for clustering and spatial access methods;
Query by content in multimedia databases; Data base performance evaluation;
Medical image databases; Searching in text databases.
Web page
David Hackney
Department of Biological Sciences
Mechanisms, regulation and structure of enzymes; Current research centered on proteins that function as molecular motors, such as the kinesin ATPase that drives fast axonal transport in nerve cells
Web page
Hyung Kim
Department of Chemistry
Computational chemistry
Web page
Maria Kurnikova
Department of Chemistry
Theory and Computer Simulation of Transport Processes through Biological Membranes. Structure-Function Relations in Membrane Proteins
Web page
Jelena Kovacevic
Department of Biomedical Engineering, and Department of Electrical and Computer Engineering
Signal modeling and representation, Bioimaging, Communications
Web Page
Christopher Langmead
Computer Science Department
Computational Structural Biology: Machine learning applied to high-throughput structure determination and dynamics from sparse experimental data; Systems Biology: Analysis and modeling of complexity in biological systems
Web page
John Lafferty
Computer Science Department and Center for Automated Learning and Discovery
Statistical machine learning, text and natural language processing, information retrieval, information theory, algorithms on graphs and groups
Web page
Frederick Lanni
Department of Biological Sciences
Research geared at understanding the actin-based cytoskeleton in non-muscle cells at a level of detail currently possible only for muscle fibers
Web page
Philip LeDuc
Department of Mechanical Engineering
Molecular and Cellular Biomechanics, Biological/Medical Micro- and Nano-technology
Web page
Tai-Sing Lee
Computer Science Department
and the Center for the Neural Basis of Cognition
Computational neuroscience, computer vision, neurophysiology of primate vision, statistical learning and inference
Web page
A. Javier Lopez
Department of Biological Sciences
Developmental regulation of alternative splicing; Recursive splicing in large introns
Web page
Jonathan Minden
Department of Biological Sciences
Proteomics, Differential expression of proteins
Web page
Tom Mitchell
Computer Science Department and Center for Automated Learning and Discovery
Making computers improve automatically from experience; learning from text and hypertext, learning by experimentation, data mining of large datasets
Web page
Jose' Moura
Department of Electrical and Computer Engineering and Department of Biomedical Engineering
Signal Processing and Telecommunications; Content-Based Video Processing; Robust Detection and Classification
Web page
Robert F. Murphy
Department of Biological Sciences, Department of Biomedical Engineering, and Center for Automated Learning and Discovery
Location Proteomics: Automated interpretation of fluorescence microscope images, including classification of protein subcellular location patterns and construction of systematics for protein location; Information Extraction from image and text in Biomedical Journals
Biol. Sci. web page; Biomed. Eng. web page; Lab web page
Ramamoorthi Ravi
Graduate School of Industrial Administration; courtesy appointment in the Computer Science Department
Optimization, computational molecular biology
Web page
Kathryn Roeder
Department of Statistics
Mixture models in genomics and disease
Web page
Roni Rosenfeld
Computer Science Department and Center for Automated Learning and Discovery
Computational Biolinguistics
Web page
Gordon Rule
Department of Biological Sciences
Structure determination by NMR & X-ray crystallography
Web page
Russell Schwartz
Department of Biological Sciences
Computational methods for genome polymorphism analysis; modeling and simulation of biological systems
Web page
Schlomo Ta'asan
Department of Mathematical Sciences
From Microscopic Dynamics to Macroscopic Equations; Immune System Modeling; Cellular Modeling; Modeling and Simulation of Biochemical Networks
Web page
Nathan Urban
Department of Biological Sciences
Physiological mechanisms underlying functional and computational properties brain neuronal networks, especially the olfactory system
Web page
Eric Xing
Center for Automated Learning and Discovery and Language Technologies Institute
Statistical machine learning approaches to bio-polymer sequence analysis,
genetic inference, comparative genomics and systems biology; algorithms
and theory for reasoning and learning under uncertainty
Web page
David Yaron
Department of Chemistry
Computational models of the photophysics of conjugated polymers
Web page
Please send inquiries to murphy@cmu.edu or
Dr. Robert F. Murphy
Director, Merck Computational Biology and Chemistry Program
Carnegie Mellon University
4400 Fifth Avenue/Box 52
Pittsburgh, PA 15213