Deepak's research interests span from pure mathematics to medical statistics to cancer research. On the mathematical front, his research has been in the area of Quantum Groups and Noncommutative Geometry publishing several research papers as well as co-editing a book. In medical statistics, Deepak has been involved in the design and analyses of oncology trials, retrospective analyses and prospective design of cancer studies. His statistical methodology research interests are in the area of Stratified Medicine, a hugely important realm of healthcare where the right patient gets the right treatment at the right time. Besides, Deepak is interested in university mathematics education.
Statistical Design and Analysis of Clinical Studies using Personalised Healthcare under Biomarker Uncertainty
(MRC iCASE Award, Industrial Partner: Roche Pharmaceuticals)
Venous-thromboembolism in muscle invasive, locally advanced or metastatic bladder cancer: Scope of the problem and patients' experiences
BIOMARKER DATA ANALYTICS FOR STRATIFIED MEDICINE IN CANCER
MRC Data Science Warwick DTP Studentship.
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