Computational and Systems Biology Faculty
Research Interests: Genomic, genetic, and molecular approaches to autism spectrum disorders
Research Interests: Somatic diversification of antigen receptor genes; repertoire characteristics as biomarkers of immune status and disease; host-pathogen interactions
Research Interests: Host-pathogen interactions, genetic conflicts, positive selection, genome evolution, innate immunity, evolutionary immunology, horizontal gene transfer, poxviruses, mutation, genetic disease, genomics
Research Interests: Developing (epi)genomic/bioinformatic tools to assess and predict the functions of regulatory elements, epigenetic biomarkers of disease state, epigenetics in development and disease, global regulation of mammalian gene expression, non-coding genome function
Research Interests: Quantitative spatiotemporal structure-function relationships of multi-molecular assemblies; linking molecular and cellular behavior across multiple scales; computational image analysis and mathematical modeling
Research Interests: Personal high performance computing device to improve the efficiency and more importantly, to change the way we diagnose and treat patients in cancer radiotherapy
Research Interests: Molecular recognition in protein folding, chaperone structural biology, and neurodegeneration
Research Interests: DNA and RNA sequence alignment, graph alignment to population of genomes, genotyping, personalized medicine
Research Interests: Comparative genomics, epigenetics, and alternative splicing analyses relevant to brain evolution and cognitive disorders
Research Interests: Computational genomics. Using molecular, genetic, genomic, and computational approaches to understanding signal-regulated gene expression. Integrating data from different genomic platforms using computational approaches
Research Interests: Cancer immunology; statistical modeling for cancer genomics data; data mining; tumor-infiltrating immune repertoire profiling
Research Interests: Optimization in conformational and network space.
Research Interests: Developing state-of-the-art machine learning approaches to extract radiological imaging and imaging-genomic biomarkers and to engender personalized prognostics in neuroscience and oncological applications
Research Interests: Development of methods to study next generation sequencing and X-ray crystallographic data
Research Interests: Understanding tissue organization via machine learning; intra-tumor heterogeneity; computational image analysis and spatial statistics
Research Interests: Statistical analysis and rational design of cellular systems
Research Interests: Integrating structure, kinetics, and computation to understand the molecular determinants and regulatory mechanisms of microtubule dynamics
Research Interests: Cellular information processing; molecular mechanisms of G protein-mediated signaling: amplification, selectivity, response kinetics and signal integration
Research Interests: Mouse genetics, immunology, cancer genomics, imaging analysis
Research Interests: Improving treatments for cancer by applying computer science and statistical methodologies to analyzing high-throughput biological data. New models and tools are currently in development to assist the investigation of disease mechanisms and their related diagnostic innovations.
Research Interests: Biostatistics, bioinformatics, statistical genomics, clinical trial design, and biomarker studies
Research Interests: Statistical genetics, genetic epidemiology, bioinformatics, gene mapping for complex traits
Research Interests: Statistical genetics, forward genetics screening, statistical computation, next-generation sequencing, genetic association studies
Research Interests: Machine Learning and Statistical Methods for Genomics, Sequence Basis of Genome Regulation, Statistical Methods for Single-cell Data Analysis, The Evolution of Noncoding Genome.
These faculty members do not accept graduate students. They participate in teaching, co-mentoring, exam and dissertation committees, and all other program responsibilities.
Research Interests: Development of methods to study heteroplasmy and the somatic evolution of cancers.
Research Interests: Active machine learning driven cancer drug discovery
Research Interests: Clinical trial design and analysis; health economics; incomplete data; statistical modeling
Research Interests: Statistics, statistical genetics, genetic epidemiology, genome-wide association studies