People

Meet Oxford LLMs 2024 Team!

Here, you will find information about our organisers and lecturers who are leading this year’s sessions. Beyond the core sessions, we are also inviting researchers and research teams to come and share with you their current research ideas and projects at the intersection of NLP and social sciences. Stay tuned, as we will be updating this page with additional speakers as we receive their confirmations!

Organisers

Humeyra Biricik (Co-organiser)

DPIR Oxford University

Humeyra Biricik is the co-organizer of the Oxford LLMs 2024 and a doctoral candidate in Politics at Pembroke College. Her research focuses on the relationship between political speech, populism, and democratic backsliding in Turkey, Hungary, India, and Arabic-speaking Middle Eastern countries. She primarily employs large language models and text analysis, along with other econometric analyses, to conduct her studies. She is the recipient of the joint scholarship between Pembroke and the Department of Political Science and International Relations. As a part of her scholarship, Humeyra coordinates a series of politics talks at Pembroke College, on a wide array of topics, including local British elections, the housing crisis, regulation of AI and democracy, and machine learning methods used in political science. She is currently working on organizing writing workshops for undergraduate students in politics, to support women and ethnic minority undergraduates at Oxford University.

Ilya Boytsov (Lecturer, Co-organiser)

NLP Lead, Wayfair

Ilya is an applied Deep Learning Scientist with a focus on Natural Language Processing (NLP). He currently works as the NLP lead at Wayfair in Berlin. His main professional interests include information retrieval, aspect-based sentiment analysis, and generative AI. In addition to his applied research work, Ilya has extensive experience in teaching and public speaking. He designed lectures and machine-learning bootcamps for various audiences, including students, managers, and individuals without prior coding experience. Ilya was a speaker at several ML conferences in Europe, including World Data Summit and DSC Europe. He is also a co-founder of the Street Smart AI community in Berlin where AI practitioners share their knowledge of making ML&DS happen for real-life applications. You can connect with Ilya and read more about his research on his personal website.

Maksim Zubok (Organiser)

DPIR Oxford University

Maksim is a doctoral candidate in Politics at Oxford University, Nuffield College. In his dissertation, Maksim explores various ways of harnessing LLMs for social science research. Those range from classic data labelling to using the models as condensed snapshots of the internet from which we can learn how people organise relationships between concepts and thus form beliefs about the world they live in. Maksim has a longstanding interest in teaching and facilitating intellectual exchange. He has helped organise several academic events, including the Oxford Summer Institute for Computational Social Science in 2022.

Lecture and Seminar Leaders

Grigory Sapunov (Lecturer)

CTO and co-founder of Intento

Prior to Intento, Grigory worked in industry at Yandex and in academia at the Higher School of Economics in Russia. He has over 20 years of experience in software engineering, including about 15 years in data analysis, artificial intelligence, and machine learning. Since 2011, he has been engaged in deep learning. Grigory is a Google Developer Expert in Machine Learning and holds a Ph.D. in Artificial Intelligence.

You can connect with Grigory on LinkedIn.

Tatiana Shavrina (Lecturer)

Research Scientist Manager, Meta, Llama team

Ex-Snap, Ex-AIRI, PhD in LLM Evaluation

Tatiana is passionate about open source and multilingualism in LLMs, under-resourced languages, and bringing them to rich resource environments. As an enthusiast of various benchmarking methods, she has contributed to BLOOM as the lead for interpretability, led the mGPT model development, and contributed to low-resource NLP methods. Her main projects include mGPT, Russian SuperGLUE, and BLOOM. To learn more about Tatiana’s research, visit her Google Scholar profile.

Atita Arora (Seminar)

Solution Architect, Qdrant

Atita Arora is a seasoned and esteemed professional in information retrieval systems and has decoded complex business challenges, pioneering innovative information retrieval solutions in her 15-year journey as a Solution Architect / Relevance strategist / Individual Contributor and works as Solution Architect at Qdrant. She has a robust background from her impactful contributions as a committer in various information retrieval projects and is currently writing a book on Vector databases. She has a keen interest in making revolutionary tech innovations accessible and implementable to solve real-world problems. She is currently actively researching about evaluating RAGs while navigating the world of vectors and LLMs, seeking to uncover insights that can enhance their practical applications and effectiveness.

Atita will deliver a seminar on Retrieval Augmented Generation (RAG). RAG has become a cornerstone for integrating domain-specific content and addressing hallucinations in AI applications. As the adoption of RAG solutions intensifies across industries, a pressing challenge emerges: understanding and identifying where within the complex RAG framework changes and improvements can be made. This course delves into the practical ways to implement RAG through various methodologies and extracting crucial indicators from your RAG pipeline, empowering informed decision-making during experimentation. Join us as we navigate an end-to-end process for RAG implementation, experimentation, and evaluation, offering insights into optimizing performance and addressing hurdles along the RAG implementation journey. Through an end-to-end process for RAG implementation, experimentation, and evaluation, the aim is to offer actionable insights for optimizing performance and overcoming implementation hurdles. Attendees and viewers can expect to gain a comprehensive understanding of how to refine their RAG solutions for maximum impact

Ciera Fowler (Seminar)

ML Engineering Lead, Ori Cloud

Ciera is the ML Engineering Lead at Ori, an AI native GPU cloud provider, and an MBA Student at London Business School. Ciera’s works on thought leadership pieces for Ori’s blog and speaking engagements focused on benchmarking and analysis of LLMs. She also posts tutorials and presents at tech meetups around London to help others start building their own LLM powered agents and applications. At LBS Ciera is Co-President of the Black in Business Club and Senior Vice President for Core Tech in the Technology & Media club.

Ciera will deliver a seminar on LLM Inference Benchmarks.

John Gilhuly (Seminar)

Developer Advocate, Arize AI

John is a developer advocate at Arize AI focused on open-source LLM observability and evaluation tooling. He holds an MBA from Stanford, where he focused on the ethical, social, and business implications of open vs closed source AI development. He is passionate about ensure the benefits stemming from AI and ML are felt equally across socio-economic divides. In his pre-AI life, John built out and ran technical go-to-market teams at Branch Metrics, and graduated Duke University with a B.S. in Computer Sciences and a B.A. in Classical History.

John will deliver a seminar on LLM Observability and Evaluation. In this session, you will gain a comprehensive understanding of the core principles of LLM observability, including Tracing and OpenTelemetry, and learn about the tools and techniques used to monitor LLM app performance in real-time. We will explore various evaluation metrics, comparing LLM-as-a-judge evaluations with assertion-based evaluations to highlight their strengths and weaknesses, and provide insights on choosing the right evaluation approach for different scenarios. Finally, we’ll run through a hands-on walkthrough demonstrating how to apply observability and evaluation techniques to detect bias and misinformation in a supplied research agent, visualize embeddings, and identify weak areas in your dataset.

Christian Silva (Seminar)

AI/ML Customer Engineer at Google Cloud.

Christian Silva is a seasoned AI/ML Customer Engineer at Google Cloud. With 15+ years of expertise in analytics, data management, and machine learning, he’s passionate about empowering clients across industries like Financial Services and Healthcare with transformative AI solutions. As a passionate advocate for the power of AI & Data in decision-making, Christian collaborates with practitioners and business leaders on closing the gap between cutting-edge technology and real-world applications. When he’s not driving innovation, you’ll find him enjoying Surrey’s countryside with his wife.

Research Talk Speakers

Lisa P. Argyle

Assistant Professor of Political Science, Brigham Young University

Dr. Lisa P. Argyle is an Assistant Professor of Political Science at Brigham Young University, a Faculty Fellow at the Center for the Study of Elections and Democracy, and an associate co-PI for the Cooperative Election Studies. She earned a Ph.D. in Political Science from the University of California, Santa Barbara. Dr. Argyle blends political psychology with computational social science to study political attitudes and participation in the United States. Since the release of GPT-3 in 2020, a primary focus of her research has been generative AI, exploring how we can use Large Language Models as a tool to improve social science research and democratic societies. Her goal is to use surveys, experiments, and artificial intelligence tools to better understand how people talk about politics in their everyday lives, and how to improve those conversations.

You can read more about Lisa’s work on her website.

Chris Barrie

Assistant Professor in Sociology, New York University

Chris Barrie was a Lecturer in Computational Sociology at the University of Edinburgh. Starting in September 2024, he will assume the role of Assistant Professor in Sociology at New York University.

His research focuses on political sociology, particularly in the areas of conflict, communication, and political attitudes. Methodologically, he specializes in natural language processing techniques, language models, and the innovative use of digital trace data for social science research.

He has a strong interest in leveraging social media, news, and communications data to study populations that have traditionally been difficult to reach in empirical social sciences. Additionally, he is keen on exploring new computational techniques to investigate the relationship between online information consumption and political attitudes.

At the University of Edinburgh, he founded the Social Data Science Hub.

You can read more about Chris’ work on his website.

Raymond Duch

Director of the Centre for Experimental Social Sciences, Nuffield College, Oxford University

Ray Duch is the co-founder and Director of the Centre for Experimental Social Sciences (CESS) at Nuffield College University of Oxford. He established and directed similar CESS centres in Chile, China, and India. He is also co-Director of the Candour Project and a co-PI for the Nuffield Department of Population Health REAL Demand Centre. Ray Duch directs the Talking to Machine project that explores how to leverage advances in Large Language Models to enhance social science research including the design and implementation of experiments and how we conduct public-opinion research. His research focuses on the application of experimental methods to understanding individual decision making related to politics, finance, health, and economics. His publications have appeared in leading social science journals including, American Political Science Review, Proceedings of the National Academy of Sciences, Journal of Economic Behavior and Organization, American Journal of Political Science, Political Analysis, Applied Economics, Journal of Politics, and Nature Medicine. Ray Duch holds a visiting appointment at IAST-Toulouse School of Economics and has had visiting appointments at Stanford Graduate School of Business, WZB-Berlin, Université de Montréal, and Pompeo-Fabra University, Barcelona. His research is funded by leading social science funding agencies including the NSF, ESRC, FONDECYT, Swiss National Science Foundation, the Health Foundation and SSHRC. He frequently advises governments, international organizations, law firms and corporations.

You can read more about Ray’s work on his website.

Thomas Hegghammer

Senior Fellow in Politics, All Souls College, Oxford University

Dr. Thomas Hegghammer is Senior Fellow in Politics at All Souls College, Oxford University. He is a political scientist and historian who works on political violence in the Muslim world, especially transnational jihadi groups. His books include The Caravan: Abdallah Azzam and the Rise of Global Jihad (Cambridge, 2020), Jihadi Culture: The Art and Social Practices of Militant Islamists (Cambridge, 2017), and Jihad in Saudi Arabia: Violence and Pan-Islamism since 1979 (Cambridge, 2010). Dr. Hegghammer previously worked at the Norwegian Defence Research Establishment (FFI) in Oslo and has held fellowships at Stanford, Princeton, Harvard and the Institute for Advanced Study in Princeton.

You can read more about Thomas’ work on his website.

Neil Ketchley

Associate Professor in Politics, Fellow of St Antony’s College, Oxford University

Neil Ketchley is Associate Professor in Politics and Fellow of St Antony’s College. He is a political scientist of the Arabic-speaking Middle East and North Africa working at the intersections of political sociology and comparative politics. Neil’s most recent book, Egypt in a Time of Revolution (Cambridge University Press, 2017), won the Charles Tilly Distinguished Contribution to Scholarship Award. His work has appeared in journals such as the American Political Science Review, the Journal of Politics, Political Research Quarterly, and Mobilization.

You can read more about Neil’s work on his website.

Alison Koh

Research Fellow in NLP, The University of Birmingham’s Centre for Artificial Intelligence in Government

Allison Koh holds a Bachelor of Science in Economics and Asian Studies from Tulane University and a PhD from Hertie School. She is currently a Research Fellow in Natural Language Processing at the University of Birmingham’s Centre for Artificial Intelligence in Government.

Her research interests lie at the intersection of international relations, political communication, and computational social science, with a focus on the geopolitics of emerging technologies and applications of generative AI in conflict research. In her dissertation, Allison outlined the strategic landscape of digital transnational repression on social media and identified how vulnerabilities in social media companies’ transparency and content moderation policies benefit the foreign policy interests of authoritarian regimes.

Alexis Palmer

Neukom Fellow, Dartmouth College

Dr Alexis Palmer recently finished her PhD at the Wilf Family Department of Politics at New York University. She will be starting as a Neukom Fellow at Dartmouth College in Fall 2024. Her dissertation focuses on institutional trust, storytelling, and natural language processing methods, but these serve mainly as the nexus points of many research interests. The central theme of much of her work is trust: why do people trust the institutions, leaders, and information that they do. This work is rarely focused on the actual performance of these dimensions and instead asks what shapes perceptions and persuades. This interest has led her to focus on micro-founded data and individual level analysis, with a particular interest in Text as Data as a way to operationalize difficult to measure concepts such as what makes a story. The actual topics she works on have spanned conflict governance, cynicism in politics, and the role of Large Language Models. She holds a BA in International Affairs and a BS in Mathematics from Northeastern University. Before coming to NYU, she held a wide variety of jobs including (but not limited to): project manager at the Global Resilience Institute, intern at INTERPOL’s Counterterrorism Division, seasonal farm worker, and semi-professional dancer. You can read more about Alexis’ work on her website.

Participants

Salsabil Abdalbaki

she/her

PhD candidate, University College Dublin (UCD)

My research focus is on the development and application of computational methods, mainly topic modeling and Large Language Models, in the context of news media framing and water conflicts.

Afsana Afrin Esha

she/her

Doctoral Candidate, Durham University

Afsana Afrin Esha is a human geographer with expertise in interdisciplinary research focused on human-environment interactions with a particular interest in the ways in which discourses and practices of development and governance relate to questions of gender, politics, and inequalities. She has worked extensively on these relationships, both at the micro and macro levels, mostly in the central and southern regions of Bangladesh. Her work combines ecological and social, both quantitative and qualitative approaches, and has undertaken extensive field-based research over the past seven years. She is currently also working as a teaching assistant at the department of Geography in Durham University.

Maya Ashkenazi

Research Assistant (NLP, UCL Gender and Tech Lab)

As an NLP Research Assistant at the UCL Gender and Tech Lab and a recent graduate of UCL’s MSc in Artificial Intelligence for Sustainable Development, Maya focuses on applying machine learning toward humanitarian challenges. Her dissertation, supervised by Dr. Leonie Tanczer and Dr. Maria Perez Ortiz, employs NLP modeling techniques to detect and classify psychological domestic abuse on Reddit.

Maya’s academic background includes a BA in Behavioral Decision Sciences (Human-Computer Interaction) from Brown University; she also studied Computer Science and Psychology at the University of Oxford as a year-long undergraduate visiting student. Previously, she’s worked as a research assistant at the Malle Social Cognitive Science Lab and The Policy Lab @ Brown University.

Driven by a keen interest in the intersection of machine learning and the behavioral sciences, Maya is interested in developing AI systems to safeguard the wellbeing of vulnerable communities, such as women and children.

Contact info Email: maya_ashkenazi@alumni.brown.edu. LinkedIn.

Iuliia Alieva

she/her

Postdoctoral Researcher, University of Stuttgart

Dr. Iuliia Alieva is a postdoctoral researcher at the Computational Social Science lab at the University of Stuttgart. Her research interests encompass a combination of social science, data science, and computer science, applying methodologies and theories from network science, social media analysis, and journalism and communication research.

Eli Baltzersen

she/her

Doctoral Researcher in Political Science, University of Oslo

Eli Baltzersen is a PhD student in Political Science at the University of Oslo. Her research interests include sexual violence, reproductive justice and social norms. In her PhD project, she is investigating the relationship between legislation and public attitudes, where she focuses on consent-based rape legislation.

Iverina Ivanova

she/her

Postdoctoral Researcher and Lecturer in Linguistics, Goethe University, Frankfurt am Main

Iverina has been a research associate at the linguistic unit of the Institute for English and American Studies at Goethe University since 2017. Her research interests include discourse structure and analysis, linguistic alternations from a corpus-based perspective, distributional semantics, and automated annotation and retrieval of linguistic features with state-of-the-art NLP frameworks. In her current research, she investigates the alternation between “that” and “to” complement clauses with future-oriented verbs such as “expect” and “promise”. Her aim is to determine what syntactic and psycholinguistic factors influence the speaker’s preference for a structure when confronted with a choice. In her previous research, she analyzed the interaction between the intentional and linguistic structures of the section types in research articles and identified section-feature associations. Apart from her linguistic endeavors, Iverina is interested in the role of LLMs in academia for research and teaching. In particular, she is eager to learn how to train an LLM on domain-specific texts(e.g., the syntax of Germanic languages) and turn it into a syntax expert with which students can interact and thus, improve their understanding of syntax. You can connect with Iverina on LinkedIn.

Madeleine Janickyj

she/her/hers

Research Fellow in Natural Language Processing (NLP) for the Violence, Health, and Society (VISION) Consortium, University College London (UCL)

Dr Madeleine Janickyj is a Research Fellow in Natural Language Processing (NLP) for the Violence, Society, and Health (VISION) Consortium. She is a member of University College London’s Information Security Research Group (ISec) and works within its “Gender and Tech” Research Lab. Madeleine specialises in Computational Social Sciences and she is passionate about the deployment of statistical and machine learning models for real-world problems. Her current research focuses on using NLP, and other computational methods, to recognise technology-facilitated abuse.

Tae Kyeong Meixner-Yun

he/him

PhD researcher, European University Institute

Tae Kyeong Meixner-Yun is a PhD researcher at the European University Institute. His doctoral thesis examines the relationship between digitalisation and social cohesion. His research interests include digitalisation, social status, inequality, discrimination, social networks, migration, and race/ethnicity. He uses both quantitative and qualitative methods, such as experiments and interviews, and aim to engage more with computational methods.

Irene Larraz

she/her

Fact-checker at Newtral and PhD candidate in Journalism, Universidad de Navarra

I am a PhD candidate at the University of Navarra, researching the intersection of artificial intelligence, disinformation and fact-checking. I am also a journalist and fact-checker, currently working at Newtral, a Spanish fact-checking organization. I have been working in the field of disinformation for the last seven years, starting at Ecuador Chequea (Ecuador) and later at Verificado (Mexico).

Hao Li

she/her

PhD Candidate, University of Cambridge

Hao’s PhD research examines the cultural construction of existential significance of childbearing and how cultural norms and individual agency intersect. It aims to provide a deeper understanding of how young women navigate their life journey through contemporary cultural and policy dynamics. As part of this research, Hao aims to explore the integration of LLMs in ethnographic methods.

Jing Lu

she/her

AIES Master Student, The University of Hong Kong

Jing Lu is a master’s student specializing in AI, Ethics, and Society at the University of Hong Kong. She holds an interdisciplinary background in communication and computer science from Beijing Normal University and has served as a research assistant at the Data and Governance Center of Tsinghua University. Her previous research interests include natural language processing as well as computational methods for analyzing social media dialogues, with a particular emphasis on gender and political attitudes. Currently, she is focusing on AI bias, as well as the development of explainable and responsible LLMs.

Kimberley Moran

she/her

DPhil Candidate in Politics, DPIR, University of Oxford

Kimberley is a part-time DPhil student in Politics at the Department of Politics and International Relations (DPIR) at the University of Oxford. Her research interests focus on the impact of technological developments - specifically social media - on political polarisation and the efficacy and quality of democracy in the UK. She has previously worked for the McKinsey Global Institute, the Centre for Data Ethics and Innovation, and in fintechs on topics related to responsible AI, AI ethics, and digitisation.

Dumisani Zondiwe Moyo

Visiting Scholar, School of Integrative Plant Science, Cornell University, USA

I am a human geographer integrating social sciences to inform agricultural, food, and nutritional policy and development programs, including plant breeding initiatives. My research interests focus on the critical and ethical application of natural language processing (NLP), large language models (LLMs), and other AI tools in these areas. To know more, visit my personal website.

Tom Nachtigal

she/her

PhD Candidate, Stanford Graduate School of Education

Tom Nachtigal is a PhD candidate in International and Comparative Education and Education Data Science at Stanford University, as a Knight Hennessy Scholar. She studies how education systems in different regime types construct a global political culture of civic engagement and participation, reflecting international norms. Her primary methods include text analysis and NLP to analyze policy documents by national and international actors. Trained as an international lawyer, she has worked at both the national and international arenas on issues of human rights and international law, including at various U.N. Human Rights Committees, where she examined the incorporation of international norms at the national level.

Hasher Nisar

PhD candidate, Political Science, University of Michigan

Hasher Nisar is a third-year doctoral candidate in the Department of Political Science at the University of Michigan. He is also a Visiting Assistant in Research at Yale University for the 2024-2025 academic year. His research interests focus on examining the relationship between religion and politics in Muslim-majority countries. He is currently focused on exploring how the relationship between religious actors and the ruling elite has evolved across time and space, how colonialism transformed the religious sphere and its implications for the role of religion in the modern nation-state, and how official Islam shapes the views of citizens on religious matters and the state. He works with a variety of data sources, such as biographical dictionaries, sermons, fatwas, and surveys. He is particularly interested in LLMs for translation, feature extraction, and classification. Before starting his PhD the University of Michigan, he worked as a consultant in the Middle East for two years where he served public sector institutions, followed by a year of Arabic study at the Qasid Institute in Amman, Jordan. He holds an M.Phil. in Islamic studies and history from the University of Oxford, and a B.A. in political science from Middlebury College.

Christy Hyunso Oh

PhD Student in Political Science, Ohio State University

Hyunso Christy Oh is a Ph.D. student specializing in International Relations, Political Methodology, and Political Psychology. Her research interests include public opinion, international security, and international organizations. Currently, she is engaged in projects looking into public support for engagement with IOs, public responses to uncertainty in international security issues, among others. Christy received her B.A. with Great Honor from Korea University, majoring in Political Science and International Relations & Economics, and received her M.Sc. from London School of Economics in Comparative Politics. Before joining OSU, Christy served as an Advisor for the Security Council Team at the Permanent Mission of the Republic of Korea to the United Nations, where she covered international and cyber-security, as well as DPRK nuclear issues.

Ekaterina Rebinskaya

DPhil in Politics, University of Oxford,

I am a DPhil student interested in the analysis of political discourse via machine learning algorithms. Having completed a master’s degree in economics at the London School of Economics and a master’s degree in political science at the University of Oxford, I intend to combine machine learning algorithms and statistical analysis to analyse the structure of themes used in various political discourses.

Lena Sirotkina

she/her

Ph.D. Candidate, University of North Carolina at Chapel Hill

I am a PhD candidate in the Department of Political Science, where I specialize in computational political behavior. My research integrates machine learning methods with experimental design to explain behavioral phenomena, particularly in the realm of visual information processing. I focus on developing computer vision classifiers that predict attitudinal outcomes, with a current emphasis on how individuals interpret and respond to political imagery. The goal is to understand the influence of visual perceptions on political attitudes and decision-making and to integrate them into the labeling and training processes. Ultimately, I am interested in improving the accuracy and complexity of models that predict human-like perceptual judgments at scale. For instance, I apply this approach to developing a visual sentiment classifier that predicts sentiment based on the perspectives of relevant social cleavages, addressing differences in vision and perception that might otherwise lead to mislabeling. In my research, I try to carefully borrow from computer science, political science, psychology, and neuroscience, bringing their perspectives together to create more reliable models. I will be on the job market next year. Here is my website

Ruoci Song

PhD in Italian, University of Cambridge

Ruoci Song is a PhD student in Italian at the University of Cambridge, with a research focus on Dante. She explores the intertextual connections between the Divine Comedy and Latin classics, with a particular emphasis on gestures in classical texts. Having participated in AI workshops at both Peking University and Cambridge, Ruoci is also interested in the intersection of AI and the humanities, seeking to apply modern technology to deepen the understanding of classical literature.

Klaus Garrido Tenorio

Pursuing a PhD

Economist with experience in applying advanced analytics for data-driven decision-making. Currently researching the impact of automated (AI) negotiation systems on operational outcomes.

Faye-Marie Vassel

STEM Equity and Inclusion Postdoctoral Research Fellow, Stanford University GSE & HAI

Faye-Marie Vassel is a native of the Bronx, NY and received her B.S. from Stony Brook University where she studied biochemistry and Russian studies. Following her undergraduate studies at Stony Brook Faye-Marie went on to Massachusetts Institute of Technology, where she received her Ph.D. in biology. Faye-Marie’s doctoral research was focused on enhancing the field’s understanding of how DNA-damage response mechanisms can modulate chemotherapeutic resistance in drug-resistant lung cancer. Prior to her time at Stanford, Faye-Marie was an AAAS Science and Technology Policy Fellow in the Directorate for STEM Education at the National Science Foundation.

Currently, Faye-Marie is a STEM Equity and Inclusion Postdoctoral Research Fellow at Stanford University in the groups of Dr. Bryan Brown (GSE) and Dr. Hideo Mabuchi (Applied Physics/ HAI). Faye-Marie’s postdoctoral research is broadly centered on investigating how learners from groups historically marginalized in STEM experience and navigate and perceive the norms and practices of Computational Science academic domains. Faye-Marie’s primary research efforts have been devoted to studies focused on elucidating factors that may contribute to pervasive inequities impacting the “techno-experiences” of learners from intersectionally marginalized social groups. With research of this nature, Faye-Marie’s long term goal is to help advance a critical understanding of mechanisms driving these inequities; as doing so holds the potential to develop interventions capable of mitigating the detrimental impacts that these factors may have on impacting the liklihood of equitable “techno-futures” of learners from these diverse social groups.

Chuyao Wang

He/him/his

PhD Candidate in Social Research Methods (Computational and Experimental Social Science), London School of Economics and Political Science

Chuyao Wang’s research interests lie at the intersection of computational social science, public opinion, human-computer interaction, and the societal impacts of LLMs. His working paper investigates the potential of socially aligned prompt engineering in ChatGPT to promote social good through a combination of computational analysis and a personalized experiment, aiming for a high-impact publication. He is also examining how institutional logics shape collaboration dynamics when integrating fine-tuned LLMs in government services. For his PhD project, he conducted a digital survey experiment to assess the impact of LLM authorship disclosure on political advertisements in shaping key social debates. His collaborative work on governance strategies in algorithmic social networks is currently under Revise & Resubmit at a Nature portfolio journal. His interdisciplinary research has been supported by the LSE Research and Impact Support Fund (£4,817), OpenAI’s Researcher Access Program (US$5,000 in credits), and a SCISS Research Grant.

Chenzi Xu

Leverhulme Early Career Research Fellow, University of Oxford

Dr Chenzi Xu is a Leverhulme Trust Early Career Fellow at the University of Oxford. She earned her D.Phil. (Ph.D.) in Linguistics from the University of Oxford. Previously, she worked as a research associate in forensic phonetics at the University of York, specialising in on automatic speaker recognition.

Chenzi’s research interests are in phonetics, sociophonetics, language variation, speech and language technology (particularly with applications to low-resource languages). Her recent work focuses on quantitative analysis of natural speech in tone languages, with a perspective to understanding systematic phonetic variation and its implications for linguistic theory. For more information, please visit her website.