Meet the Team

John Cassidy

Co-Founder & CEO

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 Clifford

Co-Founder & CTO

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 Patel

Co-Founder & CSO

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.

Hannah Thompson

Chief Product & People Officer

Hannah is a translational cancer biologist. She has a pharmacology masters degree which included a year of drug discovery with MedImmune and a PhD on the link between type 2 diabetes and colorectal cancer from QMUL. Hannah is passionate about transforming clinical cancer care and will be using her colorectal cancer expertise to help us deliver our product.

Emil Hewage

Founding Advisor

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 Beer

Head of Translational Medicine

Philip brings years of expertise in clinical cancer genomics in the NHS and commercially.

Gianmarco Contino

Senior Translational Oncology Fellow

Geoffroy Dubourg-Felonneau

Machine Learning Team Lead

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 Sneath Thompson

Bioinformatician

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 Dobson

Software Engineer

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 Taylor

Strategic Communications and Partnerships Manager

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 Edwards

Business Development Manager

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 Frost

Front End Engineer & Designer

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 Rebergen

Bioinformatician

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 Parsons

Machine Learning Researcher

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.

Joan Tanous

Administrative Coordinator

Elena Zhel

Business Development

Elena has a Masters in Oncology from the QMUL and Barts Cancer Institute, combined with a medical degree and expertise in pharmaceutical industry. Elena is passionate about the potential of genomic technologies to transform cancer care and improve patient outcomes. She brings her entrepreneurial expertise to help to shape CCG’s business development strategy.

Adnan Akbar

Data Scientist

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.

Dominic Magirr

Medical Statistician

Dominic carries out data synthesis and statistical analyses in order to best interpret the implications for cancer patients. He has a PhD in Statistics and professional experience at the Medical University of Vienna and at AstraZeneca, where he worked on clinical trial design.

Monica Jianu

Senior Software Engineer

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 Gonzalez

Account Manager

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.

Gabe Aldam

Bioinformatician

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.

Bobbie Dousa

Patient Experience Researcher

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 Bradley

Computational Biology Intern

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

Timothy Cannings

Statistical Research Specialist

Dominic Kirkham

Full Stack Intern

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.

Yasmeen Kussad

ML Intern

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.

Steve Walsh

Bioinformatics Intern

Steve studied Biochemistry and Bioinformatics at Liverpool University. He is currently enrolled on the Oxford University Interdisciplinary Bioscience DTP programme. At CCG.ai, he is working to determine the viability of using Pachyderm for data control.

Want to join our team?

We are always interested in prospective applications from those enthusiastic about transforming cancer care through machine learning.