Service

Teaching

Imperial College London — COMP70076 Ethics, Fairness and Explanation in AI: Guest Lecture, Causal Discovery for Trustworthy AI, London UK (Spring 2026) — slides
Luiss Guido Carli — Data Science In Action: Guest Lecture, Causal Discovery for Trustworthy AI, Rome Italy (Autumn 2025) — slides
UCL — MSc in Fintech (Politecnico di Milano & UCL): Guest Lecture, From Credit Risk to Explainable AI Research, London UK (Spring 2022) — slides
Imperial College London — COMP70050 Introduction to Machine Learning: Tutorials and Marking (Autumn 2021, 2022) — syllabus

Dhruv Himatsingka (MEng 2026): Bridging Gradual Semantics and Graph Neural Networks for Argumentative Causal Discovery
Zihao Li (MSc 2025): Leveraging Large Language Models for Causal Discovery
Yeva Hunanyan (MSc 2025): Exploring Semantics for Argumentative Causal Discovery
Preesha Gehlot (MEng 2025): Graph Neural Networks for Approximate Argumentative Reasoning

XAI Seminar Series @ Imperial (Co-organiser, 2021-Present)
KCL–ICL Workshop on Causality (Co-organiser, 2025) — slides, schedule
XAI-FIN at ICAIF
- XAI-FIN at ICAIF ‘25 (Co-Chair)
- XAI-FIN at ICAIF ‘24 (Assistant Chair)
- XAI-FIN at ICAIF ‘23 (Assistant Chair)
- XAI-FIN at ICAIF ‘22 (Workshop co-organiser)

CausAlly: Collaborative Causal Discovery for AI-Aided Decision-Making. Minds and Machines Workshop, University of Queensland, Brisbane Australia (2025).
Causal Discovery for Trustworthy AI. Lloyds Banking Group Summer School, London UK (2025) — slides.
Causal Discovery for Trustworthy AI. Lendable Journal Club, London UK (2025) — slides.
Causal Discovery for Contestable and Explainable AI: From Contestable Neural Networks to Transparent Causal Discovery. Robert Gordon University, Aberdeen UK (2024) — slides.
Argumentative Causal Discovery. STAI CDT Student Seminar Series, London UK (2023) — slides.
Credit Risk Modelling: Data and Techniques Used in the UK Banking Industry. Danmarks Nationalbank Conference, Copenhagen Denmark (2019) — slides.