John has a background in cancer research in both academia (Cancer Research UK, University of Glasgow, and University of Cambridge) and pharma (MedImmune). His PhD at the University of Cambridge focused on understanding how tumors become resistant to therapy. He also has experience with multiple start-ups.
Harry leads the development of CCG’s AI tech, cloud architecture, and tumor analysis pipelines. He has a background in cancer bioinformatics, completing his PhD at the University of Oxford and first postdoc at the University of Cambridge with Cancer Research UK. He also brings corporate experience in identifying and developing biomarker-based medical diagnostics.
Nirmesh spearheads the clinical research and establishes experimental developments at CCG, sitting at the interface between clinical collaborators and the lab. He brings a deep understanding of the clinical applications of cancer biology, with a background in translational cancer medicine and novel therapeutic development through his PhD at King’s College London and the Institute of Cancer Research.
Emil is a serial entrepreneur and co-founder of Alchera Technologies with an academic background as a PhD researcher in computational neuroscience at the University of Cambridge. He has extensive knowledge in developing and marketing medical devices and has held roles in finance and numerous technology startups.
Philip brings years of expertise in clinical cancer genomics in the NHS and commercially.
Geoffroy is an ML and AI lover. He is a full-stack engineer with experience in deep neural networks and cloud computing architecture. He has prior experience in the Silicon Valley start-up scene, and is now turning his attention to revolutionising cancer genomics.
Joe has a masters in Computational Biology from the University of Cambridge. He also has experience in working with NGS data in the hospital and start-up setting. He uses his skills to maintain our variant calling pipelines.
Harry is passionate about the application of engineering for data science data visualisation in medicine. He has previous experience with start-ups and uses his skills to help CCG develop their software.
Belle manages CCG.ai's PR, comms and public engagement strategy in addition to developing partnerships and strategic alliances the world over. She carried out both her Masters degree and PhD in Physical Chemistry at University College London and has a background in science communication.
Olivia has a masters in bioscience enterprise from the University of Cambridge. She is passionate about innovation, start-ups and making an impact in healthcare. Olivia is helping us to develop and maintain partnerships.
Sam is an experienced front end engineer and user experience designer with professional experience at PricewaterhouseCoopers and a Cambridge web agency. At CCG, Sam is leading the front end development of OncOS.
Dàmi has a masters degree in bioinformatics from Wageningen University and Reasearch as well as a degree in biotechnology. At CCG he is combining his knowledge of machine learning and biology to improve our understanding of somatic mutation detection and is highly involved in our research and development.
Chris has a master's degree in information engineering from Oxford University, where his thesis focused on the intersection of machine learning and optimisation to solve graphical inference problems. At CCG he is working on cutting edge research to advance cancer treatment with machine learning.
Adnan integrates machine learning algorithms into bioinformatics pipelines to deliver a range of analyses, and to help CCG answer novel biological questions. He has a PhD in data science and professional experience as both a researcher and a data scientist.
Monica is a full-stack software engineer with previous experience in medical software and bioinformatics services. She is passionate about delivering easy-to-use web applications that solve complex problems. She uses her skills to help CCG develop their software.
Raul has a PhD in Molecular and Cell Biology at Cardiff University. His commercial and scientific research experience provides CCG.ai with valuable skills to foster long-term customer relationships and maintain high levels engagement and satisfaction.
Gabriel has a BSc in Biology and Bioinformatics and an MSc in Software Engineering, both from Aberystwyth University. His previous experience working in the genetic health division at Illumina brings skills in designing and building high quality medical software with core bioinformatic functionalities.
Justyna has an MSc in Bioinformatics from Queen Mary University of London, where she focused on the implementation of computational methods for quantitative analysis of kinase signalling as part of her final project. At CCG.ai, Justyna is using her experience in scientific software development to help develop OncOS.
Rebecca has a background assisting Board level executives in both start-up and blue-chip companies. She holds degrees in management and science, where her interests lie in organisational change & efficiency and pathogens/evolutionary biology respectively. She also has experience starting and running her own business.
Aliia has a background in AI and natural language processing which she studied in Russia, Italy, and Malta. She is passionate about data processing, visualisation, and using her tech skills for social good. At CCG.ai, she works as a software engineer and helps developing OncOS.
Yasmeen has an MSc in Data Science at Lancaster University. At CCG, she is working on developing an unsupervised machine learning model to compress genetic profiles that mark somatic mutations in cancer patients.
Bobbie investigates the patient’s experience of undergoing cancer treatments and patient reception of AI informed treatment strategies. She situates original ethnographic research against public debates concerning genomic data privacy, precision medicine, and the use of AI within health care. Bobbie holds degrees in anthropology and literary criticism from the University of California, Berkeley and the University of Cambridge.
Jacob is a PhD student working with CCG, based in Edinburgh's School of Mathematics and Institute for Genetic and Molecular Medicine. He studied maths and systems biology in Cambridge. He uses statistical learning techniques to understand what it means to be a cancer driver mutation
Dom is going into his 4th year at Cambridge, where he is specialising in information engineering and bioengineering. He is particularly interested in applications of machine learning in biology. At CCG, he’s working in the ML team.