Tochukwu is a second-year PhD student specialising in behavioural genetics, focusing on computational approaches. His research integrates machine learning, deep learning, and health data science to explore how genetic variation influences behaviour. Skilled in AI and Bioinformatics, he analyses complex datasets to identify genetic markers associated with various behavioural traits. Tochukwu’s work aims to bridge the gap between genetic predispositions and observable behaviours, contributing to our understanding of the genetic basis of human behaviour through innovative research methodologies. By employing advanced computational tools, he strives to uncover insights that can inform personalised medicine, psychological interventions, and public health strategies.
