Novel approaches to manage and analyze gene expression data generated from DNA micro arrays, and integrate these approaches to pharmaceutical research.

Large scale biological data analysis, microarrays and sequence analysis.

Biological physics and network modeling.

Molecular genetic elucidation of role of G-proteins in plant growth and development.

Genomics and bioinformatics of microRNAs, siRNAs, and their targets.

How interacting networks of transcription factors and signal transduction molecules guide the development of precursor/stem cells into mature neurons. Role of these networks in neurodegenerative diseases. Factors that can act as neuroprotective agents.

Soil microbial community analyses

Genome mapping, including genetic linkage mapping, molecular cytogenetics; studies of genetic diversity in forests.

Genetics, epigenetics, and genomics of X chromosome inactivation in human and mouse.

Cancer genetics; Systems Genetics validation of candidate genes from human genetics; skin color genetics; high-throughput automated whole-body 3D genetic and chemical phenomics at cell resolutions in interdisciplinary teams (physics, engineering, computer engineering, heuristic computer vision, user interfaces); synchrotron microCT imaging; genetics of genomic instability; web-based resources

Analysis and modelling of large-scale genomic data.

Regulation of flavonoid biosynthesis during plant development and plant-pathogen interaction. Epigenetic regulation and allele specific patterns.

Genomics, bioinformatics, and molecular evolution. Origin and diversification of flowers & developmental pathways. Comparative genomics of plants, organelles, & plant gene families. Genomics and evolution of parasitic plants.

Enzymology and molecular genetics of anaerobic microbes from the Archaea domain.

Genetic characterization of resistance/tolerance to biotic and abiotic stresses in crop plants. Investigation of genes for directed crop improvement and germplasm enhancement.

Molecular evolutionary genetics of pathogenic and toxigenic fungi.

Statistical methods for the analysis of large-scale genetic and genomic datasets.

Plant molecular and developmental biology. Starch biosynthesis. Tropical plant biotechnology. Plant-pathogen interactions. Biofuel feedstock production.

Functional genomics of non-coding DNA.

Bacterial genomics and the evolution of bacterial mechanisms to manipulate host immune functions.

Evolutionary ecology. Molecular evolution and systematics of vertebrates; biogeography; connections between biological evolution and Earth history.

Pharmacogenetics, i.e., the genetic basis for individual differences in response to drugs which affect the central nervous system.

Molecular genetics and genomics of plant-pathogen interactions.

Molecular, genomic, and proteomic investigation of cancer pathways, biomarkers, and targeted
therapeutics.

High-speed communication/computer networks; traffic engineering including shaping, routing and scheduling; network security; overlay systems; performance evaluation including modeling, simulation and emulation.

Protein evolution. Conformations of antigen-binding sites of immunoglobulins and related proteins.

Comparative genomics.

Genometrics

Structural, Functional and Comparative Genomics.

Computational Symmetry Group Theory and Applications, Machine Learning (particularly low-dimensional subspace learning from very large, multi-modality feature set), Computer-Aided Diagnosis, Computer Vision, Computer Graphics.

Evolutionary genomics, bioinformatics, human genetics, molecular evolution, population genetics.

Development of algorithmic and optimization techniques to support the analysis and redesign of systems at different scales.

Physiological ecology. Causes and consequences of flight performance in insects.

Developing rigorous algorithms and analysis for problems in the biological sciences. Genome assembly, variation detection, cancer genomics, phylogenetics, graph theory, computational complexity, on-line algorithms, and networking.

Pattern recognition; machine learning; source coding; joint source-channel coding; bioinformatics; networking and network intrusion detection; image segmentation

Phylogenomics

Evolution of overlapping reading frames in eukaryotic genomes.

Theories of statistical mechanics applied to investigate structural biology and, in particular, the physical properties of unfolded and intrinsically disordered proteins; theories for coarse-grained modeling of peptides.

Working to define the role of Peroxisome Proliferator-Activated Receptor α (PPARα) in mitochondrial dysfunction associated with drug-induced hepatotoxicity

Human and non-human primate evolutionary ecology -- how we have adapted to our variable or changing environments. Research tools used include analyses of genomic-scale data, especially genome sequence data.

Molecular mechanisms of virus and host adaptation at scales that span protein and structure to population dynamics.

Biochemistry and genomics of eukaryotic transcription regulation.

Analysis of craniofacial phenotypes.

Bioinformatics, Computational Genomics, Pharmacogenomics, Genetic Architecture of Complex Human Traits.

Virus-plant interactions, virus evolution and ecology and evolution of disease

The design of experiments. Statistical computing methodology and algorithms.

Molecular population genetics and genomics.

Genome evolution in host-adapted bacteria.

Developmental and evolutionary aspects of regulation of patterning genes.

How man-made chemicals (e.g. peroxisome proliferators) regulate gene expression.

Complex genetics of drug addiction.

Functional genomics and proteomics of the nervous system.

Visual database search and retrieval; retrieval from large-scale genome databases through pattern recognition.

The evolution of complex traits.

He is particularly interested in integrating the idea and principle of systems biology into statistical genetic research, ultimately elucidating a comprehensive atlas of the genetic control network of complex biology.

Developing computational methods to solve problems in molecular biology; particularly DNA sequence analysis, gene evolution, and genetics.

Next generation sequencing data analysis