Speaking topics

Twelve subjects

Lectures and keynotes for clinical, academic, industry and general audiences, pitched to the audience rather than delivered at one level.

AI in Oncology

What artificial intelligence can realistically contribute to cancer care, and where enthusiasm has outrun evidence.

How molecular, clinical and evidentiary information are brought together around a single treatment decision.

What sequencing a tumour does and does not tell you, and how to read a molecular report critically.

Turning fragmented cancer data into information that is usable at the point of decision.

Why rare cancers need a different information architecture, not simply more of the usual research.

Where circulating tumour DNA genuinely adds value, and where it adds a number without adding information.

How tumours change under treatment pressure, and what that means for sequencing therapy.

Why finding a relevant trial is a different problem from finding a trial.

The methods underlying modern molecular analysis, and how method choice shapes conclusions.

Designing machine learning systems for medicine that clinicians can interrogate rather than merely obey.

How molecular evidence, clinical expertise and computational systems might work together around the individual patient.

Building genomic and precision oncology capability in the Indian healthcare context.

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