QLS (Quantitative Life Sciences); SQV (Sciences quantitatives du vivant)

The Deadline to Apply for Canadians and Permanent Residents is March 30.


Dr. Sabrina Leslie's Nanoscience Lab

Squeezing information out of DNA molecules
PhD student Albert Kamanzi uses novel single-molecule confinement and visualization techniques, developed by the Leslie biophysics laboratory, to explore fundamental properties of DNA molecules under nano confinement (Leith*, Kamanzi* et al, macromolecules 2016)

Dr. Steph Weber's Spatial Organization of Living Systems Lab

Dynamic Organelles
A montage showing the assembly and disassembly of nucleoli in the nucleus of a developing worm embryo.  Nucleoli are membraneless organelles that assemble by phase separation of the nucleoplasm.

Dr. Mathieu Blanchette's Computational Genomics Lab

Students in Dr. Blanchette's lab develop cutting-edge computational approaches to key questions in genomics and evolution. They design algorithmic, machine learning, and statistical approaches to solve real-world questions from biology.

Dr. Peter Grutter's Atomic Force Microscopy Facility

Post-doctoral fellow Monserrat Lopez works in Dr. Grutter's laboratory, researching scanning probe microscopy and the interdisciplinary applications of this technique to the emerging field of nanotechnology.

Dr. Frédéric Guichard's Laboratory

Prof Guichard is interested in the study of ecosystems as complex systems and in problems of scale in ecology. His group addresses these questions by combining empirical (experiments, remote sensing) and theoretical (lattice models, coupled oscillators, networks) approaches in order to link patterns and processes across scales.

Dr. Judith Mandl's Cellular Mechanism Lab

Students use a combination of quantitative tools and intravital microscopy in settings of infection or during steady-state to connect individual cell behavior with the function of T cell populations at the whole-organism level.

Dr. Celia Greenwood's Statistical Genetics Lab

Environmentally dependent clustering:
A large set of variables display different clustering patterns in different subsets.  Here, red, green sets of variables are correlated, and the light and dard blue sets of variables are correlated. 

Dr. Gregor Fussmann's Population Ecology Lab

Bringing out mesocosms for under-the-ice experiments at the Gault Nature Reserve (McGill). We are interested in the quantitative response of lake plankton to changes in the timing of annual ice cover.

Dr Guillaume Bourque’s Computational Genomics Lab

Students and postdoctoral fellows in the lab develop and apply advanced computational and statistical methods to better understand the human genome. Projects cover different areas from functional genomics to disease genomics and use evolution as a guiding principle.

Dr. Erik Cook's Neurophysiology Lab

A student works in Dr. Cook's lab to decipher the neural code, the rules neurons use to encode behaviorally relevant information in their electrical activity. The lab uses a combination of electrophysiological, behavioral, and computational techniques.

Dr. Paul François' Statistical Physics Lab

Modelling Immune Recognition
This stochastic simulation illustrates the efficiency of the immune recognition strategy called "adaptive sorting", proposed in Lalanne and François, Physical Review Letters, 2013 . In presence of "foreign" molecules (red) the average response is fast (within a minute) and much higher than in presence of "self" molecules (blue).

Dr. Simon Gravel's Human Genetics Lab

Genetic Diversity in the Americas
Populations in the Americas have a complex history featuring recent and ancient migrations from Asia, Europe, and Africa. Geneticists at McGill build mathematical models to understand the resulting genetic diversity and learn about history, biology, and disease.   


Welcome to the Quantitative Life Sciences website. We hope to address the most important and challenging problems in biology, medicine, physics and the environment, and help solve them with a highly interdisciplinary approach that brings together students and researchers across all scientific disciplines and university faculties.