The Honorands
The Fellowship is, in the end, the people in it. Each month two of them are recognised here: one Fellow, one Ambassador. The intent is to show what the people here are actually doing and the questions they are pursuing.
Anastasia Ilina
The first Academic Fellow, now running the seminars she once joined.
Anastasia was the first Academic Fellow to join the Thinking About Thinking cohort. She has since become our Academic Lead, building the academic community and convening the weekly ThAT Thursdays seminars.
Anastasia is a PhD student in AI and Clinical Neuroscience at the UK Dementia Research Institute at Imperial College London. Her work sits at the intersection of machine learning, wearable biosignals, large-scale electronic healthcare records and Parkinson's disease research.
She holds an MSc in Artificial Intelligence and an MSc in Translational Neuroscience from Imperial College London and a BSc in Neuroscience from UCL. That interdisciplinary background shapes the way she approaches self-supervised learning over human-derived time series: signals from wearable devices, EEG, ECG, PPG and accelerometry, treated as data that should make sense both clinically and computationally.
Her current research combines fractal and complexity approaches with modelling of large-scale electronic healthcare records, with the aim of finding meaningful structure in complex biological and clinical data. The motivating question is concrete: how can detection, stratification and monitoring of Parkinson's disease be made better.
Anastasia was the first Academic Fellow to join the Thinking About Thinking cohort. She has recently joined the main team as Academic Lead, helping build the academic community and the seminar series across AI, neuroscience, cognitive science and related fields.
Idea MH Khan
Building AI that runs in any hospital, anywhere, regardless of connectivity.
Idea joined the Fellowship as a Student Ambassador in October 2025 and has been part of our gatherings ever since: the AE Global Summit and both Venture Café London panels.
Idea is an MSc Student in Artificial Intelligence at King's College London, with a BSc in Computer Science. His work spans AI engineering, multi-agent systems and LLM deployment - bridging research and real-world application.
His MSc dissertation investigates "Adaptive Retrieval Gating for Safety-Aware Medical QA under resource constraints", motivated by a simple conviction: that AI-powered healthcare should be accessible to any hospital, anywhere, regardless of connectivity.
As Head of the Technical Department at King's AI Society, he channels those same principles to make cutting-edge AI tangible for students, leading workshops and events that connect people with the frontier of research and industry. Beyond academia, he co-founded a recruitment technology startup that applies LLM pipelines to improve job matching.
Idea joined Thinking About Thinking as a Student Ambassador in October 2025, attending the AE Global Summit 2025 as his first event, and both Venture Café London panels "From Ideas to Impact: Collaborating for an Inclusive AI Future" and "AI for Science: From Pre-Seed to Breakthrough", a theme that sits at the heart of his work.