Mr Puneet Tiwari

Senior Lecturer in Global Business and Academic Lead (Researcher Development)

Graduate College and Christ Church Business School

I am Senior Lecturer in Global Business at Christ Church Business School and Academic Lead for Researcher Development at the Graduate College at CCCU

With an undergraduate degree in Mathematics and Computer Science, I completed a Masters from The London School of Economics focussing on Statistics and Research Methods, followed by a PhD in Advance Quantitative Methods from the University of Bristol. I was funded by Economic and Social Research Council (ESRC) for my PhD and was part of the South-West Doctoral Training Centre.

Prior to CCCU, I was a Senior Lecturer at Nottingham Trent University. My research interests include computational and mathematical applications of models in the field of business, management, machine learning and artificial intelligence, and theoretical model estimation and statistics. I am also interested in social research, with mathematical applications in the areas of policing, criminology, media and perception. 

I am a Fellow of the UK Higher Education Academy (AdvanceHE) and currently teach at the Business School as a Senior Lecturer.

I have designed and delivered content for Postgraduate Taught students (MBA and MSc International Business) on the following modules:

  • International Marketing Research (market analysis, industry analysis)
  • Research Methods (quantitative and qualitative methods, reflective writing, designing research) 

At Graduate College, I manage research training programme for PGR students (students of Masters by Research, MPhil and PhD degrees at the university).

Prior to joining CCCU, I was a Senior Lecturer in Quantitative Criminology at Nottingham Trent University, where I designed and taught research methods to fulltime undergraduate and postgraduate students. In the past I have taught in the areas of management science, multicriteria decision methods, discrete events simulation and statistics/ quantitative methods at various levels. I have been module leader and teaching team member for several years in the past, giving me the wealth of teaching experience in the UK HEI. I have also been a personal tutor to many students and have supervised multiple dissertations at level 6, 7 and 8.

I research in a wide variety of disciplines, applying quantitative, computing and mathematical skills in various areas. My research interests are inter-disciplinary in nature, spanning the areas of:

  • Statistics and quantitative methods • Marketing Research
  • Management Science and Operations Research
  • Machine learning, Artificial Intelligence and programming principles (especially C++ and Python with their applications to sustainable AI)
  • Social Research, including research in the fields of criminology, psychology and sociology
  • In addition to these, my work has also been published in the areas of health. 

My PhD focussed on theoretical development and programming of statistical and machine models for heterogeneity estimation using variational Bayes, which is an Artificial Intelligence approach for estimating Bayesian models without Markov Chains Monte Carlo methods. I proposed new models, in particular, Variational Bayesian approach to estimating polychotomous mixture models and also tested this technique on mixture regression models. I also applied theoretical models to the field of corporate innovation and introduced the concept of ‘innovation ambidexterity’ for enterprises.

My recent work modelled how engagement with various media sources shapes our perception about our environment and how this perception varies with proximity to this environment. I uncovered the role of the number of sources we engage with as being a key to this relationship by designing a statistical model around it. As part of this research, I proposed a novel concept of ‘repertoires of information’.

Currently, I am researching the viability of enterprise AI models in terms of their computational costs and the trade-offs that companies might have to make in the future while using these models. In this regard, I am looking at programming languages, such as C++, Python and Rust. 

In the past, my research has been discussed, referred to and published in the BBC, The Guardian, Office of Nottingham Police and Crime Commissioner and the Office of Victims Commissioner, generating wider social impact.

I have presented work in several international conferences, including those of The Royal Statistical Society, The British Academy of Management and British Sociological Association.