Computational and Systems Biology Faculty

Director

Research Interests: Computer vision; computational cell biology; regulation of cell morphogenesis; roles of cell morphogenesis in cancer

Technical Expertise: Computer vision; time-series analysis; model regression; continuum mechanics; software engineering

Faculty

Research Interests: Genomic, genetic, and molecular approaches to autism spectrum disorders

Technical Expertise: Genetic linkage and mapping, whole exome and genome sequence analysis

Research Interests: Somatic diversification of antigen receptor genes; repertoire characteristics as biomarkers of immune status and disease; host-pathogen interactions

Research Interests: Computational biology; analysis of protein sequences and structures

Research Interests: Statistical methods, clinical trials, epidemiology, health economics

Research Interests: Single-cell regulatory genomics, cell fate engineering, function of non-coding elements and genetic variants.
Technical Expertise: Single-cell genomics, genome engineering, gene regulation, cell state engineering

Research Interests:Large language models, AI, spatial biology, image analysis, machine learning

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
Technical Expertise: Computer vision, stochastic modeling and model calibration, time series analysis

Research Interests: Artificial intelligence in medical imaging, radiotherapy treatment planning, and adaptive radiotherapy etc

Research Interests: Molecular recognition in protein folding, chaperone structural biology, and neurodegeneration
Technical Expertise: Biochemistry, biophysics, structural biology, chemical biology and protein modeling

Research Interests: DNA and RNA sequence alignment, graph alignment to population of genomes, genotyping, personalized medicine
Technical Expertise: Computer Algorithms, Commercial-grade Software Development, Deep Learning, Biostatistics, Medical Data Analysis

Research Interests: Comparative genomics, epigenetics, and alternative splicing analyses relevant to brain evolution and cognitive disorders
Technical Expertise: Transcriptomics, weighted gene co-expression network analyses, single-cell RNA-sequencing analyses

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: Development of novel computational algorithms/models/pipelines for big, heterogeneous biological and medical data

Research Interests: Structural and biochemical characterization of membrane proteins in cholesterol biosynthesis, metabolism and signaling

Research Interests: Optimization in conformational and network space

Research Interests: Adaptive radiation therapy; treatment-plan optimization; radiation-dose calculations

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
Technical Expertise: Advanced image analysis, neuroimaging, MRI, MEG/EEG, PET/SPECT

Research Interests: Methods development for cryo-electron microscopy, X-ray crystallography, and next-generation sequencing; Structural studies of macromolecules with X-ray crystallography and cryo-EM single particle reconstruction; Higher-order structure of eukaryotic chromatin.

Research Interests: Understanding tissue organization via machine learning; intra-tumor heterogeneity; computational image analysis and spatial statistics
Technical Expertise: Machine learning (both classical and deep). Image analysis specifically for microscopy

Research Interests: Statistical analysis and rational design of cellular systems
Technical Expertise: principal components analysis and matrix factorization, statistical analysis of protein sequences, python for large scale data analysis

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: Antibiotic resistance and sensitivity; single molecule biophysics; synthetic biology

Research Interests: Immunogenomics, Tumor genomics, Bioinformatics, Biostatistics, and Machine learning
Technical Expertise: Medical imaging analysis; radiomics-based modeling

Research Interests: Biostatistics, Machine learning, Immunogenomics, and Tumor genomics space

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
Technical Expertise: Developing and applying statistical and computational approaches to decipher genetic and genomic problems, in particular, human complex traits.

Research Interests: Statistical genetics, genetic epidemiology, bioinformatics, gene mapping for complex traits
Technical Expertise: Developing and applying statistical and computational approaches to decipher genetic and genomic problems, in particular, human complex traits.

Research Interests: Epigenomics, single-cell data analysis, machine learning and deep learning algorithm development

Research Interests: Statistical genetics, forward genetics screening, statistical computation, next-generation sequencing, genetic association studies
Technical Expertise: Statistical genetics, microbiome, statistical computation, bioinformatics, deep learning

Research Interests: Computational Neuroscience

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.

Associate Members

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: Statistics, statistical genetics, genetic epidemiology, genome-wide association studies