Kanishka Bhattacharya

Kanishka Bhattacharya holds a DPhil in Applied Statistics (in Statistical Genomics) and an MSc in Applied Statistics from Oxford University. His research interests include building (novel) computationally efficient statistical algorithms for large scale compute challenges in the world of Statistical Genomics. Since making the move to industry, he has focused on data science applications in financial services, manufacturing, retail, energy and government services.

Kanishka has taught several courses in Statistics at Oxford University for nearly 10 years. His research in Statistical Genomics has been published in various journals, including the likes of Genetic Epidemiology and Annals of Human Genetics. With over 15 years of experience in statistical analysis of large scale, real life, and noisy datasets, Kanishka has developed cutting edge data science solutions in the domains of finance, retail, human genetics, epidemiology, media and advertising.

Outside of academia, he has worked as a Quant for two hedge funds and a digital advertising start up, alongside leading teams/practices and delivering data science programs for large global consulting firms.