Dr Krishnan Bhaskaran
in Statistical Epidemiology and Sir Henry Dale Fellow
I graduated from Sheffield University with a BSc Hons in Mathematics in 1999 and took an MSc in Medical Statistics at Leicester University in 2000-2001. I worked for 6 years at the MRC Clinical Trials Unit, on a variety of HIV trials and observational studies, with an emphasis on HIV seroconverters (individuals with well estimated dates of HIV infection). In October 2010, on gaining my PhD at LSHTM for a project looking at environmental risk factors for heart disease, I joined the department as a lecturer, and later senior lecturer. I completed an National Institute for Health Research postdoctoral fellowship to study the effects of widely prescribed drugs on cancer risk (2012-2014). I have since been awarded a Wellcome Trust/Royal Society Sir Henry Dale Fellowship to study cardiovascular disease risks among people with a history of cancer (2015 to present).
I am the course director for the Short Course in Practical Pharmacoepidemiology and I deliver lectures both on this short course and on the MSc in Epidemiology. I teach on the Extended Epidemiology, and Advanced Statistical Methods for Epidemiology (ASME) MSc modules, and on the Advanced Course in Epidemiological Analysis (ACEA) short course.
My main areas of interest are cancer epidemiology and pharmacoepidemiology. I currently hold a Wellcome Trust/Royal Society Sir Henry Dale Fellowship for a programme of work looking at cardiovascular diseases among people with a history of cancer. I am also interested in mental health and quality of life among cancer survivors and am supervising a research degree student working on this topic.
I have an ongoing interest in pharmacoepidemiology, particularly in relation to cancer outcomes, and I recently completed an NIHR postdoctoral fellowship programme in this area. I have also studied other predictors of cancer risk, notably body mass index.
I have an ongoing interest in the use of eHealth data and am part of a wider group at LSHTM working with large-scale routinely collected data such as the Clinical Practice Research Datalink (CPRD) primary care data.
Finally, I am interested in the application of novel or non-standard statistical methods to real clinical problems: a current interest is whether marginal structural modelling and related methods can help to disentangle the effects of drugs from the effects of underlying disease in observational diabetes research, i.e. to tackle time-varying confounding by indication.