The Computational Biology & Bioinformatics Team seeks new quantitative and predictive descriptions of biological systems, through the integration of mathematical analysis, advanced computing and empirical data. Active research areas include computational structural biology, protein function inference, information processing in neuronal and biochemical signal transduction networks, stochastic dynamics on biochemical and social networks, modeling and predicting bacterial behavior, and development of machine learning tools for coarse-grained modeling of biological phenomena. Our research has implications for understanding the genetic encoding of cellular behavior, information processing in biological systems, and design principles in biology and beyond.

Resources

Positions Available

Personnel

Michael Wall (Team Leader)	mewall@lanl.gov
Marian Anghel	manghel@lanl.gov
Golan Bel	golanbel@lanl.gov
Judith Cohn	jcohn@lanl.gov
Brian Munsky	munsky@lanl.gov
Ilya Nemenman	nemenman@lanl.gov
Nikolai Sinitsyn	nsinitsyn@lanl.gov

Skills & Capabilities

Mathematical Analysis and Modeling	Genetic Regulatory Networks
Stochastic Processes and Statistical Physics	Biomolecular Interactions
Complex Systems and Nonlinear Dynamics	Protein Structure and Function
Information and Learning Theory	Neural Coding