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Deepak Parashar

Job Title
Associate Professor
Department
WMS - Statistics and Epidemiology
Phone
+44(0)24 7657 2666
Research Interests

Deepak's research interests span from PURE MATHEMATICS to MEDICAL STATISTICS to CANCER RESEARCH.
On the mathematical front, his research has been focused on algebraic and differential geometric aspects of Quantum Groups (mathematical structures arising from symmetry of quantum inverse scattering methods), quantum calculus, and non-commutative geometry, where order of mathematical and logical operators matters; organised international conference and co-edited 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; has been the lead statistician on several cancer clinical trials responsible for study design, sample size, statistical analysis plans, and providing statistical expertise on a range of cutting-edge cancer research projects. 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. Particular focus is on development of biomarker-stratified clinical trial designs used to establish the effectiveness of a new drug or targeted therapy in specific populations with patients stratified by their biomarker signature assumed to be predictive of treatment response. These designs then lead onto the more general 'master protocols' incorporating multiple tumour types, mutations and drugs where a number of data science aspects are investigated.
Besides, Deepak is interested in Machine Learning, Geometric Data Science, and university mathematics education.

PhD Students

Ben Lanza
Statistical Design and Analysis of Clinical Studies using Personalised Healthcare under Biomarker Uncertainty
(MRC iCASE Award, Industrial Partner: Roche Pharmaceuticals)

Amelia Thompson
Quantitative Decision-Making in Clinical Drug Development Incorporating Biomarkers
(MRC iCASE Award, Industrial Partner: AstraZeneca)

Omar Abdullah
Venous-thromboembolism in muscle invasive, locally advanced or metastatic bladder cancer: Scope of the problem and patients' experiences
(CARA Fellowship)

Prospective PhD Projects

BIOMARKER DATA ANALYTICS FOR STRATIFIED MEDICINE IN CANCER
MRC Data Science Warwick DTP Studentship.
If interested, please get in touch.

Biography

Deepak studied for BSc (Honours) and MSc Physics from University of Delhi, Master of Advanced Study in Mathematics from Cambridge, and obtained a PhD in Mathematics in 2000 from Aberdeen, worked as postdoctoral research fellow in Leipzig (under fellowship of Max Planck Society), Swansea (under fellowship of the Royal Commission for the Exhibition of 1851), Rome (under a EU programme and a fellowship of the European Science Foundation), as an Assistant Professor in Mathematics Department at University of Warwick (2 years), visiting scientist at Max Planck Institute fur Mathematik in Bonn, as Senior Statistician at the University of Cambridge (Cancer Trials Centre / MRC Biostatistics Unit / CRUK Cambridge Institute) for 5 years before returning to University of Warwick at the Medical School in 2014 where he is currently an Associate Professor in Systems Biology and Oncology.

Deepak is also a Turing Fellow at the Alan Turing Institute for Data Science and AI based in London.

Title Funder Award start Award end
QUANTITATIVE DECISION-MAKING IN CLINICAL DRUG DEVELOPMENT INCORPORATING BIOMARKERS MRC iCASE AstraZeneca 01 Oct 2019 30 Sep 2022
MRC iCASE Collaboration Agreement Roche Lanza Roche Products Ltd 01 Oct 2018 30 Sep 2022
Royal Society.NOVEL TRIAL DESIGNS FOR DYNAMIC PRECISION MEDICINE IN CANCER Royal Society 15 Mar 2019 14 Mar 2021
Turing Fellowship Alan Turing Institute 01 Oct 2018 30 Sep 2020