Scientific training
Postgraduate training in cancer genomics and data sciences at the Barts Cancer Institute, Queen Mary University of London, with distinction in major modules and placement in the top 2% of the class.
Credibility
The evidence behind the work
Authority in a scientific field should be checkable. This page sets out the basis for the claims made elsewhere on this site, and links to public records where they exist.
What this site does not claim. No medical licence, registration to practise medicine, board certification, specialist medical registration or hospital clinical appointment is asserted anywhere on this site. The academic qualifications listed are educational qualifications. The services described are analytical and advisory — they support treating clinicians rather than constituting the practice of medicine.
Cancer genomics expertise
Work spanning somatic and germline genomics, transcriptomics, multi-omics, single-cell biology, circulating tumour DNA and tumour evolution, applied to interpretation rather than detection alone.
Computational and AI work
Bioinformatics, statistical genomics, machine learning and natural language processing applied to molecular interpretation, clinical text and trial matching.
Research output
A published record spanning preprints, peer-reviewed articles and review work, alongside a granted patent and pending application portfolio across therapeutics, medical devices, biotechnology and engineering.
Professional recognition
Fellowship of the Royal Society of Medicine, membership of the Royal Society of Biology and of the International Society for Computational Biology, and an associate credential with the Board of Genetic Counseling India.
Public research profiles
The research record can be checked directly against these public profiles.
Full record
The full career record
Appointments, education and the complete professional history are maintained on LinkedIn and kept current there.