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Mr. Kabir Soeny

Educational Qualifications

B.Sc. (Hons.) Statistics, M.Sc. Statistics 

Teaching Experience

4 Years 

 

Kabir Soeny is working as an Assistant Professor in the Department of Statistics, Hindu College since February 2011.

While completing his MSc Statistics from the University of Delhi (2008 – 2010), he qualified CSIR-NET and had campus placement offers from two companies. He subsequently joined a Fortune 100 American Corporation in Bengaluru (June 2010) in their Business Intelligence department. His passion for impactful research and love for teaching made him resign in Feb 2011 to take up his current position.

A dedicated student throughout, he has won several accolades such as: Ann Cook prize for the best research poster (University of London), all India postgraduate scholarship, Professor Amba Prasad Gold Medal - best postgraduate student, Rai Kedar Nath Gold Medal - best student in science. He was a college topper and university rank holder throughout his studies. He has also qualified IIT-GATE exam (AIR 97) and two papers of the Institute of Actuaries of India.

He was awarded a fully funded scholarship to pursue PhD in Statistics (2012) from the University of London, which is now on the verge of completion. He has given sponsored/invited talks at international conferences held in the UK, Spain, Switzerland and the USA.  He has published his research in a journal of international repute and several more publications are in the pipeline.

His research is currently based at an exciting confluence of Statistical Computing, Pharmacometrics and Medicine. He is working on the problem of optimisation of dose regimens so that patients are neither under- nor over-exposed to the therapy. He played the key role in the development of the so called efficient dosing (ED) algorithm – one of the first computational algorithms for explicit optimisation of dose regimens.



Area of Interest.
    Nonlinear mixed effects models, optimal design of experiments, medical statistics in particular infectious diseases and oncology, and algorithm design.
     

Personal Information

Departments Stastistics
Designation Assistant Professor

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