Applied machine learning and optimization Data integration and prediction analytics for medical, biological and agricultural data. Development and application of optimization and machine learning algorithms. Data-driven, HPC modeling and simulation of complex systems. Microbial Evolution laboratory microbial evolution, identification of genetic/epigenetic basis of microbial adaptation, evolution and dynamics of associative memory in bacteria, predictive modeling of gene regulatory and biochemical networks, large-scale simulations of microbial evolution Systems Biology Biological networks, computational models of biological systems, integration and analysis of high-dimensional data. Synthetic Biology Synthetic gene circuits for biotechnological applications, computational tools for synthetic biology, computer-aided design and optimization of synthetic constructs