Project: Studying immune cell responses during infection and cancer using single-cell genomics
This project will focus on dry-lab and wet-lab skills, in which single-cell RNA-seq datasets generated from immune cells captured from in vivo responses to infection or cancer, will be assessed via bioinformatic and machine learning techniques. The successful candidate will have a solid grounding in wet-lab cellular immunology, as well as experience with programming in R and/or Python, preferably with experience in mathematics or statistics.
Our laboratory is interested in studying T cell responses during infectious disease and in cancer. We specialize in studying these cells using a relatively recent technique called “single-cell genomics”. This technology allows us to examine thousands of genes and chromatin changes in individual cells, which is important because immune cells are often highly dynamic and diverse. We use a variety of bio-informatic and computational analytical methods to study these datasets. Hence, our research team is comprised of a mixture of “wet-lab” experimentalists and “dry-lab” analysts.
Haque Group Current Projects
Master of Biomedical Science, Honours