Research Fellow

Adam works as a Research Fellow at Queen Mary University of London, specialising in longitudinal models for Natural Language Processing (NLP) and Machine Learning, and their applications in mental health, social science, linguistics and others. His ongoing work involves building temporally sensitive models for capturing changes in the mood of users, based on the content they share online. Prior to his current role, Adam completed his PhD at the University of Warwick (2014-18) and worked as a PDRA and Research Fellow at The Alan Turing Institute and the University of Warwick, respectively (2018-2020), where he worked on various longitudinal (e.g., semantic change detection, capturing the political stance of online users over time) as well as "static" (document-level) NLP tasks (e.g., sentiment analysis).

Post-doctoral Research Associate

Dimitris has been a Postdoctoral Researcher in the group since January 2021. His research focuses on the employment of NLP approaches to decipher dynamic language patterns for automatically extracting individuals' behaviour trajectories in mental health and life sciences. He has also been an affiliated AI consultant at the Huawei Ireland Research Center, leading research efforts aimed at enhancing the understanding of programming language semantics and contributing to research applicaple to Huawei's product development. He holds a PhD from the Open University, UK under the supervision of Prof. Dawei Song. His doctoral research delves into multimodal representation learning for human language understanding, employing the mathematical formalism of Quantum Theory to introduce and deploy novel algorithms. His background lies in information technology (MSc, Aristotle University of Thessaloniki, Greece) and computer science (BSc, Technical University of Crete, Greece).

Research Assistant

Mahmud is a Research Assistant at the Queen Mary University of London, working primarily on LLM evaluation for rumour veracity. He is particularly interested in understanding LLM reasoning capabilities through mechanistic interpretability and explainability for temporal reasoning, longitudinal reasoning, and textual and multi-modal rumour veracity. Before his current role, he worked as a research assistant at North South University Bangladesh on multilingual language modeling for low-resource languages and at the University of Dhaka on surrogate inverse modeling of nanophotonic devices.