Humeyra Biricik is co-organiser of Oxford LLMs 2024 and a doctoral candidate in Politics at Pembroke College, Oxford. Her research focuses on political speech, populism, and democratic backsliding in Turkey, Hungary, India, and Arabic-speaking Middle Eastern countries, using large language models and text analysis alongside econometric methods.
She also coordinates a series of politics talks at Pembroke College on topics ranging from local British elections and the housing crisis to AI regulation and machine learning in political science.
Ilya Boytsov is an applied Deep Learning Scientist and NLP Lead at Wayfair in Berlin. His main professional interests include information retrieval, aspect-based sentiment analysis, and generative AI. He has extensive experience designing machine-learning bootcamps and lectures for diverse audiences.
Ilya has spoken at conferences including the World Data Summit and DSC Europe. He is also co-founder of the Street Smart AI community in Berlin. More details on his personal website.
Maksim Zubok is a doctoral candidate in Politics at Oxford University, Nuffield College. His research explores how large language models can be used for social science, from standard data labelling tasks to using models as snapshots of the internet to study how people structure concepts and beliefs.
He has helped organise multiple academic events, including previous sessions of the Oxford LLMs workshop and the Oxford Summer Institute for Computational Social Science.
Grigory Sapunov is CTO and co-founder of Intento. With over 20 years of software engineering experience and around 15 years in data analysis, AI, and machine learning, he has been deeply engaged in deep learning since 2011.
He is a Google Developer Expert in Machine Learning and holds a PhD in Artificial Intelligence. Connect with him on LinkedIn.
Tatiana Shavrina works on the Llama team at Meta and has previously worked at Snap and AIRI. She focuses on multilingualism and under-resourced languages in large language models, and has contributed to BLOOM, mGPT, and Russian SuperGLUE. She also works on benchmarking and evaluation methods for LLMs.
See her Google Scholar profile for publications.
Atita Arora is a solution architect and relevance strategist with over 15 years of experience in information retrieval. She has contributed to multiple open-source projects and is currently writing a book on vector databases.
Her seminar focused on retrieval-augmented generation (RAG), covering end-to-end implementation, experimentation, and evaluation, and how to identify where in the RAG pipeline improvements can be made.
Ciera Fowler is ML Engineering Lead at Ori Cloud, an AI-native GPU cloud provider, and an MBA student at London Business School. She works on benchmarking and analysing LLMs and regularly gives talks and tutorials on building LLM-powered agents and applications.
At LBS, she is active in student leadership through the Black in Business Club and the Technology & Media Club.
John Gilhuly is a developer advocate at Arize AI focused on open-source LLM observability and evaluation tooling. His seminar covered core principles of LLM observability, including tracing and OpenTelemetry.
It compared different evaluation strategies such as LLM-as-a-judge and assertion-based methods, illustrated via a hands-on walkthrough of detecting bias and misinformation in an LLM-based research agent.
Christian Silva is an AI/ML Customer Engineer at Google Cloud with more than 15 years of experience in analytics, data management, and machine learning. Working across sectors such as financial services and healthcare, he focuses on helping organisations apply AI and data for decision-making.
His seminar introduced practical approaches to deploying and governing AI solutions in production environments.
Lisa P. Argyle is Assistant Professor of Political Science at Brigham Young University and a Faculty Fellow at the Center for the Study of Elections and Democracy. Her research blends political psychology with computational social science to study political attitudes and participation.
She has been particularly focused on generative AI since the release of GPT-3, using surveys, experiments, and AI tools to understand how people talk about politics in their everyday lives. More information on her website.
Chris Barrie is Assistant Professor in Sociology at New York University. His research focuses on political sociology, especially conflict, communication, and political attitudes, using NLP and digital trace data.
He founded the Social Data Science Hub at the University of Edinburgh. Learn more on his website.
Ray Duch is co-founder and Director of the Centre for Experimental Social Sciences (CESS) at Nuffield College and co-Director of the Candour Project and the REAL Demand Centre.
His work uses experiments to study decision making across politics, finance, health, and economics, and has appeared in the American Political Science Review, Journal of Politics, and Nature Medicine. More on his website.
Thomas Hegghammer is Senior Fellow in Politics at All Souls College, Oxford. He is a political scientist and historian specialising in political violence in the Muslim world, especially transnational jihadi groups.
His books include The Caravan: Abdallah Azzam and the Rise of Global Jihad and Jihadi Culture: The Art and Social Practices of Militant Islamists. More on his website.
Neil Ketchley is Associate Professor in Politics and Fellow of St Antony's College, Oxford. He is a political scientist of the Arabic-speaking Middle East and North Africa whose work focuses on political sociology and comparative politics.
His book Egypt in a Time of Revolution won the Charles Tilly Distinguished Contribution to Scholarship Award. Learn more on his profile.
Alison Koh is a Research Fellow in Natural Language Processing at the University of Birmingham's Centre for Artificial Intelligence in Government. Her research lies at the intersection of international relations, political communication, and computational social science, with a focus on the geopolitics of emerging technologies and generative AI in conflict research.
Read more on her profile.
Alexis Palmer completed her PhD in Politics at New York University and joined Dartmouth College as a Neukom Fellow. Her research focuses on institutional trust, storytelling, and text-as-data methods, using large language models and other tools to study how people talk about politics and how narratives shape perceptions.
More information on her website.
