Summary
Igor Menezes is a psychometrician, RSS Graduate Statistician (GradStat), Chartered Psychologist (CPsychol) and Associate Fellow (AFBPsS) of the British Psychological Society, and Senior Lecturer (Associate Professor) in People Analytics at Hull University Business School.
He carried out his first postdoctoral studies at the University of Cambridge, from 2013 to 2014, working on the implementation of multidimensional item response theory into the Concerto platform. In 2016, he was appointed as a research associate in the Judge Business School, University of Cambridge to work on a project in partnership with BOSTES/NESA, Australia.
He has worked as an academic for over two decades, delivering modules on quantitative methods, psychometrics, research methods, organisational behaviour and people analytics to undergraduate and postgraduate students. Research-wise, he specialises in building high-level psychometric and statistical models to tackle various human-centric challenges across different domains. His work involves harnessing psychological constructs to address real-world issues, empowering organisations and individuals to make informed decisions and drive positive outcomes.
He has more than seventeen years of experience coordinating teams and laboratories as a researcher and principal investigator for several research grants and funded projects. He has supervised Master’s and PhD students and published papers regarding the development, adaptation and validation of instruments applied to different fields, such as psychology, organisational behaviour, healthcare, education, personality and accounting.
His research interests cut across different fields such as artificial intelligence, computer vision, data science, causal inference, people analytics, psychometrics and statistical programming (R and Python), as well as the application of advanced quantitative methods in Organisational Psychology and OB/HRM. While passionate about exploring a wide array of research topics, he is primarily driven by the prospect of blending AI and computer vision algorithms with psychometric techniques to enhance solutions for individuals and businesses.
By aiming to bridge the gap between academia and industry when it comes to fostering innovation, he has developed projects with companies in the UK and Latin America aimed at the assessment of behaviours in the workplace and indicators that can ultimately improve individual and organisational performance.
He is accepting PhD students interested in an evidence-based approach to the study of people analytics and in the development and application of psychometric models and AI to the investigation of micro- (e.g., organisational commitment, organisational climate, organisational engagement, turnover intentions, wellbeing etc) and meso-organisational behaviours (e.g., agile team dynamics).