I am a post-doctoral researcher in the field of mathematical biology, and am particularly interested in the study of bacteria and antibiotic resistance. I work in the EVAL-FARMS project using mathematical modelling to investigate the risk of emergence of antibiotic resistance from agricultural slurries. This interdisciplinary project allows me to work alongside experts from a wide range of disciplines to tackle the problem in an integrated way and to produce high quality research.
I completed my PhD in Mathematics here at the University of Nottingham, focussed on cytokine dynamics in arthritic disease. After completing my PhD I took up a research position supervised by Prof Liz Sockett and Dr Jamie Twycross, investigating the potential of predatory bacteria to be used as ‘living antibiotics’.
I am – by interest and occupation – a programmer. I did my undergraduate degree in Biotechnology from IIT Roorkee and during my last year project, fell in love with the concept of using programming in this field. I have been with this lab since September 2014 and currently I am working on my PhD which involves development of Mathematical Models for the purpose of predicting emergence of Anti-Microbial Resistance in the slurry tank environment of the dairy farm.
Prior to starting my PhD in December 2015, I completed my MRes in the same lab, during which I developed prediction algorithms for Transcription factor binding sites. The focus was on developing an ensemble method with the various machine learning tools available and developing a weightage algorithm on the results. Before arriving at Nottingham, I was working as an application developer in India, with 2 years at IBM (2011 – 2013) and another as a web developer.
Currently, I continue to work part-time as a web developer and am also the president of the International Student Network at Sutton Bonington campus for the 2015-2016 term. I like to relax with a good novel or go hiking and bowling during weekends.
I am a mathematical modelling PhD student working with Dov, Theo Kypraios and Michelle Baker. My PhD research will primarily look at developing new mathematical models to assess the risks of bacterial population carrying antimicrobial resistance genes and fitting these models to experimental data produced from the EVAL-FARMS project.
Prior to beginning my PhD, I studied Mathematics at the University of Warwick for my undergraduate degree, and also completed an MSc in Mathematical Medicine and Biology at the University of Nottingham. Over the course of my MSc I was exposed to a wide range of current research topics in mathematical biology, however, it was antimicrobial resistance that immediately captured my interest. This led me to complete my dissertation on the phage-mediated spread of AMR, and I am now eager to pursue this topic even further in my PhD.
Outside of work, I am a keen climber and you will often find me hanging off some rock in the Peak District, or taking part in bouldering competitions around the country.
I am a new addition to the STARS doctoral training program, which aims to support the development of soil science. My PhD will focus on evaluating the risk associated with antimicrobial resistance (AMR) in the farm environment. Specifically, I will be investigating the changes in microbial community structure and antimicrobial resistance gene profiles that occur in soil following the application of antibiotic-contaminated slurry. My main supervisor is Helen West and Dov is my second supervisor.
As an undergraduate I studied the antimicrobial properties of coral species and coral microbial community dynamics. I am now eager to apply molecular and culture techniques in the context of AMR, a subject which I have always been keenly interested in since it is a problem of great social and economic significance.