Faculty Directory
Our Faculty has grown to over 100 exceptional researchers focused in a variety of research specialties
Our group generates and analyzes multi-omics data to improve our current knowledge of cancer's etiology, discover new biomarkers and facilitate personalized cancer treatments
Research interests include genetic network mapping in yeast and human cells, using systems biology approaches that include single cell image analysis.
Our research investigates the underlying genetic and environmental determinants of human disease, with a focus on aging, cancer, chronic diseases, and infectious agents
The ‘Laboratory for RNA-Based Lifeforms’ is focused on deciphering how genetic information encodes itself into RNA genes and viruses.
We develop computational methods and an ecosystem theory of tissue function to help understand development, cancer and regenerative wound healing.
We study the regulation, function and evolution of RNA networks with critical roles in development and disease.
Developing and applying functional genomics approaches for mapping genetic, chemical-genetic, and protein-protein interactions using a yeast model system
The Campbell Lab is a group of data scientists working at the interface of statistics, machine learning, and translational biomedicine.
We study the role of nutrient transporters, in signalling and metabolic homeostasis.
We study how cells maintain the integrity genome and how this process is dysregulated in cancer, aging and genetic disorders.
Our group studies cell identity by integrating diverse functional genomics data, particularly focusing on gene co-expression.
We are a signal transduction, systems biology and proteomics lab focusing on signalling pathways and cellular organization
RNA interactions and regulatory roles of human C2H2 zinc finger proteins; human proteins that become essential after viral infection as drug targets
We employ technologies to identify, study and map properties and relationships among individual functional units in the genome.
Studying cancer at the single-cell level, analyzing tumour cells and their microenvironments using cutting-edge imaging techniques
Research in the Kafri lab is aimed at single-cell measurements and various analytic approaches to investigate animal cell size
We use modern computational and experimental approaches to solve important problems in biomedical science such as designing protein and peptide-based therapeutics
We study regulatory functions of the non-coding genome by focusing on lncRNAs, inter-chromosomal contacts, and genome organization.
Our research focuses on mapping metabolic rewiring using mass spectrometry to understand the functions of metabolites in diseases such as cancer.
We focus on using proteomics technologies including mass spectrometry and bioinformatics to identify and characterize proteins activated in cancers
We apply genomics and systems approaches to study how pathogens interact with microbial communities and their host to cause disease.
We study the molecular mechanisms that govern centrosome-related processes i including centriole duplication, ciliogenesis, and spindle formation.
The Reimand lab focuses on computational biology and cancer research. We conduct integrative multi-omics analyses and develop computational methods.
Novel mass spectrometric algorithms and methods for high throughput proteomics and metabolomics applied to precision medicine.
We take an RNA-centric approach, relying on systems biology and virology, to better understand arbovirus infection in mammalian and mosquito models.
Genome sequencing, annotation, medical interpretation and discovery. Studies of genomic architecture in autism, diagnostics and treatment.
The research focus of the Sicheri lab is to understand how eukaryotic signalling proteins function by visualizing and characterizing snapshots of these proteins in action.
Our research focuses on the development of new algorithms, methods and software for analyzing genome sequencing data.
The main goal of our lab is to understand how interactions among membrane proteins produce either healthy or diseased cells
The Stein lab focuses on using network and pathway-based analysis to identify common mechanisms in multiple cancer types
We are a research group interested in genome regulation and human disease and comparative genomics to study evolution and human disease.
My research is focused on understanding how extracellular cues regulate cell behaviour in development and cancer.
bioinformatics, computational biology, gene regulation, genomics, evolution
We study neural circuit assembly and functions with C. elegans and mouse models