Graduate Group in Genomics and Computational Biology

GCB Home » Faculty » Systems Biology

 

  Name Research
Danielle Bassett Complex Systems | Network Science | Computational Neuroscience | Systems Biology | Dynamical Systems | Soft Materials | Behavioral Network Science
Mary Regina Boland Developing novel data mining and machine learning algorithms that integrate data from Electronic Health Records, observational health data and genetics.
Pablo Camara The focus of our lab is on the development and application of innovative computational approaches to the study of cellular heterogeneity and its role in disease. 
Jennifer Phillips-Cremins Epigenetics | Genomics | Systems and Synthetic Bioengineering | Experimental Neuroscience | Molecular and Cellular Engineering
Scott Diamond Scott's research involves gene therapy, blood systems biology and protease proteomics, microfluidics and biorheology, endothelial mechanobiology, and high throughput screening.
Robert Babak Faryabi

Modeling of interactions between cellular signaling and epigenetic dysregulation in blood tumors.

faculty photo Mark Goulian Modeling and analysis of bacterial regulatory circuits
Casey Greene Biological systems are complex. How do transcriptomic regulatory programs make this work?
Blanca Himes Integration of genetic and genomic data to understand chronic pulmonary diseases
Eric Joyce The Joyce lab studies how chromosomes are functionally organized and folded in 3-D space and time.
Junhyong Kim Single cell genomics, systems biology of cell function, evolution of cell function, population genetics and phylogenetics
Konrad Kording We are a group of data scientists with interest in brains and, nore general, biomedical research. Right at the moment, much of the research in the lab is about deep learning and its applications. However, we are now mostly interested in causality and its links with machine learning.
Vijay Kumar Control Systems | Robotics | Mechanical Systems
Jason Moore Complex adaptive systems approaches to the genetic analysis of disease
John Murray Defining developmental regulatory networks and mechanisms
Joshua Plotkin I use mathematics and computation to study
questions in evolutionary biology and ecology.  
Research in the group is concerned primarily with adaptation in populations.
Marylyn Ritchie The mission of the Ritchie Lab is to improve our understanding of the underlying genetic architecture of common diseases such as cancer, diabetes, cardiovascular disease, and pharmacogenomic traits among others.
Li Shen The central theme of the Shen lab is focused on developing computational and informatics methods for integrative analysis of multimodal imaging data, high throughput omics data, cognitive and other biomarker data, electronic health record data, and rich biological knowledge (e.g., pathways and networks), with applications to various complex disorders.
faculty photo Arjun Raj Single cell biology
David Roos Studies in the Roos laboratory employ modern cell biological, molecular genetic, biochemical/pharmacological, immunological and genomic/bioinformatic
techniques to study protozoan parasites, eukaryotic evolution, and the biology of
host-pathogen interactions.
Harvey Rubin The work in the lab is focused in three areas: elucidating the genetic and metabolic regulatory networks that allow tuberculosis to persist in the human host for years, determination of the molecular basis of serine protease inhibition and mathematical modeling of complex biomolecular systems.
Ophir Shalem We focus on translational target discovery for a range of early and late onset neurodegenerative diseases.
David Speicher Cancer biomarkers; tumor progression; proteomics; protein assembly and thermodynamics; membrane skeleton; mass spectrometry; systems biology
faculty photo Kai Tan Our lab is interested in Systems Biology of gene regulation in normal and disease development.
Sarah Tishkoff Integrative genomic analyses of genome diversity, proteomics, transcriptomics, epigenetics, and metabolomics
Ryan Urbanowicz Ryan Urbanowicz My primary research interests focus on the development, evaluation, and application of novel computational, statistical, and visualization methods to facilitate classification and data mining in the complex, noisy domain of biomedical research.
Golnaz Vahedi Integration of genetics and epigenetics data to find major pathways in immune mediated diseases
Benjamin Voight Our lab develops and utilizes statistical genetics, computational biology, and population genetics-based approaches to understand the biological underpinnings and evolutionary history of human phenotypes.
Kai Wang The research in our laboratory focuses on the development of bioinformatics methods to improve our understanding of the genetic basis of human diseases, and the integration of electronic health records and genomic information to facilitate genomic medicine on scale.
Hao Wu The Wu lab is interested in understanding how epigenetic processes regulate gene expression to establish and maintain cellular identity.
Yi Xing Yi Xing The long-term goal of our research is to elucidate alternative isoform complexity in mammalian transcriptomes and proteomes