Dr Anita Grigoriadis
Reader in Cancer Bioinformatics
Anita Grigoriadis is a Reader in Cancer Bioinformatics in the School of Cancer and Pharmaceutical Sciences, the Non-Clinical Deputy Head for the Breast Cancer Now Unit, and an executive member of the CRUK City of London Centre.
After finishing her degree at the Institute of Molecular Pathology, University of Vienna (Austria), Anita pursued a joint PhD between the Ludwig Institute for Cancer Research, London UK and the Faculty of Natural Sciences (Salzburg, Austria).
Anita conducted her postdoctoral training on breast cancer genomics with Professor Alan Ashworth at Breakthrough Breast Cancer Centre (London).
In 2008, she joined the Breast Cancer NOW Unit (formerly Breakthrough Breast Cancer Research) at King’s under the leadership of Professor Andrew Tutt and started her own team in 2013. Currently, Anita is a committee member of The Clinical Trial Pathology Advisory Group of the Cellular Molecular Pathology (NCRI programme), and recently the Research Subcommittee of the Pathological Society.
Dr Jelmar Quist
Postdoctoral Cancer Bioinformatician
Jelmar Quist is a CRUK City of London Centre Postdoctoral Researcher in Cancer Bioinformatics at King’s Health Partners’ Comprehensive Cancer Centre. He is currently establishing the Spatial Biology Facility and the Spatial Biology Network while pursuing his research interests in triple-negative breast cancer.
After finishing his Master of Research in Bioinformatics with Systems Biology at Birkbeck, University of London, he successfully obtained a PhD studentship in Translational Medicine from the NIHR Biomedical Research Centre at Guy’s and St Thomas’. He completed his PhD in Cancer Bioinformatics in 2018.
Jelmar continued his research into how ectopic expression of HORMAD1 influences both DNA damage response and the tumour immune microenvironment in triple-negative breast cancer as a Postdoctoral Researcher at the Breast Cancer Now Research Unit.
Radhika is a second year in case MRC-DTP PhD student at King’s in collaboration with her industry partner Cambridge Cancer Genomics (CCG). Her project focuses on investigating the presence of the microbiota at the tumour site and their downstream effects in genomic instability and immune infiltration. Prior to her PhD Radhika completed an integrated masters’ degree in Biology specialising in genetics at the University of York.
Ellie is an MRC DTP student that started with the group in December 2019. She previously completed a Biochemistry BSc at the University of Leeds and a master’s in Infection and Immunity at UCL. Her project combines image analysis and transcriptomics to immunophenotype the premetastatic niche of draining lymph nodes in patients with invasive breast cancer.
Greg received an MSci in physics from the University of Bristol and after finishing a MSc in data science and machine learning joined the Cancer Bioinformatics lab at King’s College London. Greg’s current area of research is in digital pathology for Triple Negative Breast Cancer patients where he develops deep learning and computer vision techniques to characterise the histological and genomic landscape of these tumours. In his current work he captures genomic instability features related to the expression of the CT antigen HORMAD1 from histology images that can be used as predictors of drug sensitivity, patient outcome and survival.
Mengyuan Li is CSC-funded PhD student who started in October 2020. Her project focuses on integrative analyses of image and genomic profiling data to investigate metastatic development in lymph nodes. Prior to that she received her bachelor degree in Biotechnology at South China Agricultural University in 2018 and her master degree in Bioinformatics at the University of Edinburgh in 2019. Then she worked as a research assistant focused on HPV-related cancer and virus integration at the First Affiliated Hospital, Sun Yat-sen University until 2020.
Hannah Lau is a PhD student under the National University of Singapore-King’s College London (NUS-KCL) Joint Degree Program. The focus of her PhD project is to investigate the intratumour heterogeneity in breast cancer and its influence on the tumour microenvironment and stroma. Prior to this, Hannah completed her bachelor’s degree with honours in Life Sciences (specialisation in Biomedical Sciences) at the National University of Singapore.
Postdoctoral Cancer Bioinformatician
Mario received a B.Eng. in Telematics from Valencia Polytechnic University. At Manchester University, he received an MPhil on the computation of electromagnetic phenomena. In 2014 he obtained his MRes and PhD at the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data at Newcastle University. Mario was also an intern at the Alan Turing Institute (the UK’s research institute in Data Sciences and AI) ini 2018, working on computer vision models. During 2019 and 2021, he worked with the Department of Genetics at University College London as a Research Fellow. His research involved modelling and integrating data from multi-omics sources to address various questions around systemic changes in cancer cells that may lead to cancer progression and resistance to therapies. Mario joined the cancer bioinformatics group at King’s College London in 2021. His current research interests include cancer imaging, multi-omics, computational intelligence and machine learning.
Victoire Boulat is a second-year Cancer Research UK City of London Centre PhD student who started in October 2021. She is split between the Cancer Bioinformatics lab at King’s College and the Immunity and Cancer Lab at the Francis Crick Institute. Her project aims to understand the relationship between the immune response in the primary tumour and the tumour-draining lymph node in TNBC patients, with a particular interest in B cell responses. To do so, she is using a mix of laboratory techniques such as flow cytometry, multiplexed and 3D imaging and chemotaxis assays in conjunction with different mouse models of breast cancer. Before her PhD, Victoire completed a Biological Sciences Bsc and a Molecular and Cellular Biosciences MRes at Imperial College London.
Siyuan Chen is a second year KCL-CSC funded PhD student who started in September 2021. Her project aims to explore early signs of tumour initiation in normal breast tissue by studying whole slide images (WSI) using deep learning (DL) based methods. Supervised by a senior pathologist – Sarah Pinder, she learned breast pathology and manually annotated different classification targets, which enabled her to create a large annotated WSI dataset. With the comprehensive curated dataset, she worked together with a postdoc to implement DL models to classify tissues and capture age-related histological patterns, which in turn will facilitate the risk classification of normal breast tissue. Before her PhD, she gained a bachelor degree in Clinical Medicine at Fudan University in 2018 and a master degree in Oncology at Shanghai Cancer Center of Fudan University (FUSCC) in 2021 in China.
Izzi is a first year PhD student who started in October 2021. She received her BSc in Biomedical Sciences from Newcastle University and went on to complete a Research Master’s (MRes) in Translational Cancer Medicine at King’s College London. Her project is in collaboration with the WelcomeLEAP Delta Tissue project, specifically, combining spatial transcriptomics and nano-needle technology to map changes in tissue states in Triple Negative Breast Cancer before, during and after treatment.
Béibhinn received her BSc in Biomedical, Health and Life Sciences from University College Dublin in 2021 and went on to complete an MSc in Genomic Medicine from King’s College London in 2022. She completed her MSc project with our team investigating the presence of microbial species in breast cancer tissue using RNA-sequencing data from The Cancer Genome Atlas. In July 2022 Béibhinn was awarded an NIHR pre-doctoral fellowship in bioinformatics research methodology. Béibhinn is currently working with our spatial transcriptomics team to help analyse spatial transcriptomics data from patients with Triple-Negative Breast Cancer with the aim of identifying alterations in tissue states before, during and after treatment. Béibhinn is also undertaking a Post-Graduate Diploma in Applied Statistical Modelling and Health Informatics at King’s College London.
Graham is a 2nd-year undergraduate medical student at King’s College London. Alongside his studies, he is assisting with research using AI-based methods to identify age- and risk-related features in normal breast tissue.
Miu Shing (Matthew) Hung
Miu Shing (Matthew) Hung graduated from Imperial College London and joined the bioinformatics group as a part of his MRes Translational Cancer Medicine at King’s College London in 2022. His project focused on applying advanced single-cell analytical techniques to decipher immune molecular interactions underlying lymph node metastasis in breast cancer patients. He is currently working on how tumour-infiltrating B cells contribute to distant metastasis to lymph nodes in TNBC patients. He will also be investigating the patterns of genomic alterations in HORMAD1-mutated TNBCs.