People who work in Bioinformatics and Genomics

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.

The design and analysis of microarray studies, functional genomics and gene clustering.

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

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

Understanding enzyme catalysis.

The theory of algorithms and its applications.

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.

Translational control of gene expression.

The fundamental genetic and molecular mechanisms that cause cancer.

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.

Plant responses to biotic and abiotic stress. Gene network inference. microRNA regulation in gene expression.

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.

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.

Microbial diversity and cultivation, microbial paleontology, molecular evolution and genomics, astrobiology, and geomicrobiology.

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.

Investigation of mammalian mitochondrial ribosomes.

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.

Molecular genetics and evolution of flower development. Comparative, genomic and bioinformatic analyses of eukaryotic gene functions.

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.

Phylogenomics

Cancer Research, Lung cancer and development, Cancer genomics, Molecular study of oncogene mechanism, Oncogenic signaling, Functional screens for novel cancer genes, Developing function-based tools to rapidly evaluate multiple candidate cancer genes.

Molecular and genomic evolution.

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.

Development and use of bioinformatical algorithms.

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.

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.

Graduate program admissions, applicant questions, student visas, course registration, drop/add, grade changes, Candidacy and Comprehensive Exam paperwork.

Contact regarding admissions to this graduate program, and professional development opportunities for students.

Contact regarding comprehensive exams and thesis defenses for Hershey-based students in the Bioinformatics and Genomics option of the Integrative Biosciences graduate program.