MEET THE TEAM
Mirjana did her PhD in Computational Biology in the lab of Prof Trajanoski at the Medical University of Innsbruck, Austria, where she investigated the process of clonal evolution of cancer under immunosurveillance. For her postdoctoral research, she joined the Teichmann Lab (Wellcome Sanger Institute) where she co-led the development of the first human atlas of the maternal-fetal interface in early pregnancy using single cell transcriptomics. She also developed a cell-cell communication statistical framework CellPhoneDB () which allowed her to dissect the complex interplay between stromal and immune cells in the dynamic tumour microenvironment of a mouse melanoma model. She started her own lab in May 2020, at Barts Cancer Institute, within the Centre for Cancer Genomics and Computational Biology.
Sam did his PhD at the University of Manchester on the Wellcome Trust Molecular and Cell Biology Programme. He worked in Prof Andrew Sharrocks’ group researching HER2 signalling and resistance to HER2 inhibitors in oesophageal adenocarcinoma, focussing on the gene regulatory changes that drive resistance. In April 2021, he joined Mirjana Efremova’s group, researching metastasis in colorectal cancer.
PhD student, co-supervised with Jessica Okosun
Megan graduated from the University of Bristol with a 1st Class MSci Degree in Pharmacology, having completed a Year in Industry at AstraZeneca investigating the impact of immuno-oncology therapeutics on immune response using models of antigen challenge. She joined the Okosun Lab at Barts Cancer Institute in October 2019 and is co-supervised by Mirjana Efremova, researching the immune landscape in Follicular Lymphoma. Megan’s PhD is funded by Cancer Research UK as part of the Accelerator-Award EDITOR Project.
Kiyana is a Master student in Bioinformatics at QMUL. She graduated from UCL with a degree in Biomedical Sciences and Developmental Biology.
Kiyana joined the group for her 6-month master project and is working on investigating establishment of early metastatic niches in a breast cancer mouse model using single-cell transcriptomics.