Ethan Poole is an Assistant Professor in the Department of Linguistics at the University of California, Los Angeles (UCLA). His research focuses on syntax, the syntax-semantics interface, and morphological case, particularly in Finnish. Key areas include reconstruction effects, quirky subjects, and cross-clausal dependencies, with recent work on the Williams Cycle and Hindi-Urdu binding. His research interests span syntactic movement interpretation, morphological case (especially Finnish), and quirky subjects. He explores topics like embedding, intervention effects in tough-constructions, and NPI grammaticality illusions. Collaborative work includes studies on Hindi-Urdu scrambling and tough-constructions. His articles analyze reconstruction effects, trace semantics, and syntactic phases, reflecting a focus on formal syntax and interface constraints. Notable themes include case assignment mechanisms and the theoretical implications of syntactic movement for semantic interpretation. No specific scientific awards or grants are listed in the provided information. He advises no students in the given data. His work contributes to foundational questions in syntactic theory and cross-linguistic variation.
Julian Jara-Ettinger is an Associate Professor of Psychology and Computer Science at Yale University. He holds a Ph.D. from MIT (2016). His research focuses on understanding the cognitive and computational mechanisms underlying human social behavior, including fairness, linguistic communication, gesture, moral reasoning, and pedagogy. He employs interdisciplinary methods such as computational modeling, eye-tracking, cross-cultural studies, and developmental research to bridge psychology and artificial intelligence. Key research areas include the development of social cognition in children, the integration of theory of mind with communication, and the application of cognitive science principles to build socially intelligent machines. His work emphasizes how humans infer others' knowledge, intentions, and desires, with implications for AI safety and ethical systems design. Publications span topics like epistemic inference, moral judgments, and the computational foundations of social interaction. His lab's research often intersects with evolutionary simulations, neural modeling, and cultural psychology. No scientific awards are explicitly mentioned in the provided text. Collaborations involve cross-disciplinary teams addressing challenges in developmental science, AI ethics, and cognitive robotics. His work has practical applications in educational strategies, social policy, and human-AI collaboration frameworks.
Mark Steedman is Professor of Cognitive Science at the University of Edinburgh's School of Informatics, with adjunct appointment at University of Pennsylvania. His research spans computational linguistics, AI, and cognitive science, focusing on Combinatory Categorial Grammar (CCG) and its applications. His research examines: Combinatory Categorial Grammar parsing and semantics Language model capabilities and limitations Cross-linguistic semantic inference Brain modeling of language processing Recent publications analyze hallucination sources in large language models, cross-linguistic entailment graphs, and brain-computer parallels in structure-building. He develops computational models integrating symbolic and distributional approaches to semantics. Honors include ACL Lifetime Achievement Award (2018) and George E. Davis Medal (2001). He serves on editorial boards of major linguistics journals and has authored influential books including 'The Syntactic Process' and 'Taking Scope'.
Emily M. Bender is the Thomas L. and Margo G. Wyckoff Endowed Professor in the Department of Linguistics at the University of Washington. She also holds adjunct appointments in the School of Computer Science and Engineering and the Information School. Her research spans multilingual grammar engineering, computational linguistics, societal impacts of language technology, and sociolinguistic variation. She directs the Computational Linguistics Laboratory (The Treehouse) and leads the CLMS program. Bender is a Fellow of the AAAS (2022) and previously served as Howard and Frances Nostrand Endowed Professor (2019–2022). She has authored influential textbooks on NLP fundamentals and pioneered work on data statements to mitigate bias in NLP systems. Her work integrates linguistic theory with computational methods, emphasizing ethical AI and language documentation. Education: PhD in Linguistics from Stanford University (advisor: Ivan A. Sag), AB in Linguistics from UC Berkeley, with studies at Tohoku University. Past roles include NAACL Executive Board Chair (2016–2017) and current roles in the Association for Computational Linguistics leadership. Her Erdős number is 4. Research focuses on the LinGO Grammar Matrix, automatic grammar inference from interlinear glossed text (AGGREGATION project), and societal implications of NLP technologies like large language models. She co-leads the RAISE initiative and contributes to labs like the Tech Policy Lab and Value Sensitive Design Lab. Over 30 advisees have completed PhD and MS degrees under her mentorship. Teaching includes courses on syntax for NLP, societal impacts of language tech, and computational linguistics. Her 2020 ACL paper on form-meaning distinctions in NLP has been influential in ethical discussions. Current projects include The AI CON (2025) on combating tech hype.
Prof. Dennis Komm is an Associate Professor at ETH Zurich's Department of Computer Science, leading the group for Algorithms and Didactics. He chairs the Center for Computer Science Education (ABZ) and serves on committees such as the Swiss Maturity Board (Schweizerische Maturitätskommission) and the STEM Commission of the Swiss Academies. Previously, he held roles at RWTH Aachen University (Master's, 2008), ETH Zurich (PhD, 2012), University of Zurich (external lecturer, 2014–2020), and PH Graubünden (including department head and professor of 'Fachdidaktik Informatik'). Education: He completed a Master's in Computer Science at RWTH Aachen (2008), a PhD at ETH Zurich (2012), and studies in Information Technology at Queensland University of Technology (2006). His academic journey includes visiting roles at King's College, Stanford, and Comenius University. He has taught extensively across institutions, emphasizing Python and LOGO-based approaches for beginners. Research focuses on algorithm design, approximation algorithms, reoptimization, and advice complexity in theoretical CS. His work in education explores computational thinking, programming pedagogy (especially for K–12), and interdisciplinary approaches (e.g., robotics in math). Recent trends in his articles highlight advancements in online algorithms, optimization under dynamic conditions, and initiatives to integrate CS into Swiss school curricula sustainably. He actively promotes CS education through platforms like WebTigerPython and collaborates on projects such as CyberQuest and MINTerlink. His outreach includes organizing conferences (e.g., STIU 2025) and workshops on programming and cybersecurity for teachers and students. Despite no listed scientific awards, his contributions to education and theoretical CS are recognized through editorial roles in journals like Informatics in Education and contributions to the TigerJython Group. Grant-related advising includes co-supervising doctoral theses on robotics, USOs, and programming didactics. He advocates for equitable educational opportunities via the Passerelle exam and the Swiss Beaver Competition. His team's work spans teacher training, didactic certifications, and bridging university-school collaborations through initiatives like MINTerlink. Labs and teams: Head of ABZ (ETH's CS education center), collaborator with the Computational Robotics Lab, and part of the TigerJython Group. He also co-organizes the Colloquium on Mathematics, Computer Science, and Education with ETH's Mathematics Department.
Brita Wårvik is a Professor in the Department of Languages at Åbo Akademi University, affiliated with the Faculty of Humanities, Psychology and Theology. She holds a Doctor of Philosophy (Phil. Dr.) from the same institution, awarded in 2013, and has been actively contributing to linguistic research for decades. Doctor of Philosophy (Phil. Dr.), Åbo Akademi University, 2013 Her research centers on discourse analysis, pragmatics, and historical English linguistics, with a particular focus on Early Modern and Medieval English texts. She investigates discourse interaction, textual structures, and pragmatic conservatism in religious prose, often employing corpus-based and textual analysis methods. Her work bridges micro and macro perspectives in discourse, exploring how semantic units contribute to broader text worlds. Analysis of her recent publications reveals a consistent trajectory in historical discourse studies, with increasing emphasis on corpus linguistics, manuscript variation, and the evolution of discourse markers. Her editorial work, such as the 2024 volume Structures in Discourse , highlights her leadership in synthesizing interdisciplinary perspectives on language use. Scientific Awards: Teacher of the Year (2001) ÅAU Student Union's Rose (2007) Brita Wårvik actively supervises and mentors academic visitors and collaborators, as seen in her hosting of scholars like Carmen Lee and Lieselotte Anderwald. She is the coordinator of the ongoing Project ICLE (International Corpus of Learner English) , securing research continuity and international collaboration. Her involvement in organizing workshops, such as the ICLE+30 FI-subcorpus Workshop in 2024, underscores her role in fostering academic exchange. In terms of research infrastructure, she is deeply embedded in the ICLE network, contributing to the development of learner language corpora. Her activities reflect strong international collaborations, particularly in the fields of historical linguistics and discourse studies, with a visible presence in both research and academic community-building.
Tim Van de Cruys is a Senior Lecturer at the Faculty of Arts, KU Leuven, serving as Head of the Centre for Computational Linguistics (CCL). He maintains significant affiliations with LECTIO (KU Leuven Institute for the Study of the Transmission of Texts, Ideas and Images), Leuven.AI (KU Leuven Institute for Artificial Intelligence), and LILI (KU Leuven Interdisciplinary Language Institute). His work bridges computational linguistics, artificial intelligence, and humanities research with practical applications across multiple disciplines. Dr. Van de Cruys specializes in computational semantics and creative language generation, with particular expertise in applying NLP techniques to historical and classical texts. His research spans multiple domains including: Natural Language Processing for ancient languages (Latin, Ancient Greek) Computational approaches to lexical and compositional semantics Large language models and their applications in humanities research Creative language generation and human-AI collaboration Named entity recognition and disambiguation in historical contexts Non-autoregressive modeling for sequential generation tasks His recent publications demonstrate a strong focus on applying cutting-edge NLP techniques to humanities challenges, particularly in processing ancient languages. He frequently employs transformer models to address named entity recognition, word sense discrimination, and semantic analysis in low-resource language contexts. His work consistently bridges formal linguistic theory with practical computational applications, creating valuable tools for digital humanities scholars. As promotor and co-promotor on numerous research projects extending through 2029, Dr. Van de Cruys supervises PhD students working at the AI-humanities intersection. His current major projects include "Living Corpora" (exploring human-AI collaboration in digital humanities), "Stochastic processes and non-autoregressive models for sequential generation," and "NIKAW" (exploring knowledge networks from classical antiquity). These projects demonstrate his commitment to advancing both theoretical understanding and practical applications of computational linguistics. He teaches various courses including Computational Linguistics, Scripting Languages, Programming for Humanities, Computational Creativity, and AI for Humanities, training students to work at this critical interdisciplinary crossroads. His leadership of the Centre for Computational Linguistics positions him at the forefront of computational linguistics research in Belgium, where he continues to expand the boundaries of what's possible at the intersection of language, computation, and humanistic inquiry.
Professor Aditi Lahiri is a Research Professor of Linguistics at the University of Oxford's Faculty of Linguistics, Philology and Phonetics. She holds positions in the Centre for Linguistics and Philology and directs the Language and Brain Laboratory. Her research focuses on phonology, phonetics, historical linguistics, psycholinguistics, and neurolinguistics, with special expertise in metrical theory, feature theory, and morphological complexity. Education : BA (Mathematics, Economics) from University of Calcutta (1971); MA (Comparative Philology) from University of Calcutta (1973); DPhil (Comparative Philology and Linguistics) from University of Calcutta (1979); PhD (Linguistics) from Brown University (1982). Research Interests : Her work spans experimental and theoretical linguistics, including prosodic phrasing, lexical representation, language change, and neural correlates of phonological processing. Key areas include: Metrical phonology and historical sound change Cognitive representation of speech sounds Morphological complexity in the mental lexicon Speech perception and production mechanisms Recent Research Trends : Over the past decade, her publications emphasize cross-disciplinary approaches, integrating experimental psycholinguistics with computational modeling (e.g., ERC-funded projects on morphophonological alternations). Recent work explores language processing in multilingual speakers and the neural basis of phonological features. Awards : Recipient of prestigious awards including the Leibniz Prize (2000), Max Planck Research Prize (1994), and Fellow of the British Academy (2010). She serves as Vice President of the British Academy and President of the Philological Society. Grants & Leadership : Secured over €8 million in research funding, including ERC Advanced Grants (e.g., MORPHON, WORDS). Directed the DFG-funded Sonderforschungsbereich 471 (2006-2008). Established key partnerships in India through endowed scholarships and academic outreach initiatives. Labs & Collaborations : Leads the Language & Brain Laboratory, collaborating internationally on projects combining neurolinguistic methods with historical and experimental linguistics. Supervised numerous PhD students who have become leading academics globally.
Professor Ian Roberts is a faculty member at the University of Cambridge, affiliated with the Faculty of Modern and Medieval Languages and Linguistics and the Department of Theoretical and Applied Linguistics. He holds the academic rank of Professor and has been a Fellow in Linguistics at Downing College since his appointment. His research focuses on theoretical linguistics, particularly comparative and historical syntax, grounded in Noam Chomsky's Universal Grammar framework. Education : BA from Bangor University, PhD from University of Southern California (USC), LittD, Fellow of the British Academy (FBA). Roberts' work investigates how grammatical systems across Germanic, Romance, and Celtic languages vary along simple parametric lines while adhering to universal constraints. His recent projects include 'Rethinking Comparative Syntax' (ERC-funded), 'Giving Voice to Digital Democracies', and parametric comparison studies. His publications span monographs and collaborative works, emphasizing syntactic universals, parametric hierarchies, and mechanisms of language change. He has supervised graduate students such as Zepu Zhang, Fanghua Zheng, and Liu Yang. Roberts has received prestigious awards, including the European Research Council Advanced Grant and multiple Cambridge Humanities Research Grants. His academic contributions extend to leadership as Head of the Theoretical and Applied Linguistics Section and involvement in research clusters like CAMPAL (Cambridge Processing and Acquisition of Language lab).
David Mimno is an Associate Professor and Chair of the Department of Information Science at Cornell University. He holds a PhD from the University of Massachusetts Amherst and previously worked at the Perseus Project and Princeton University. His research focuses on computational social science, natural language processing, and historical text analysis. Mimno is known for developing the MALLET toolkit, a widely used Java-based platform for machine learning in text processing. He teaches courses such as INFO 4940: How LLMs Work and INFO 6150/CS 6788: Advanced Topic Modeling. His work has been supported by the Sloan Foundation, NEH, and NSF. Mimno advises PhD students in Information Science and Computer Science, emphasizing interdisciplinary research at the intersection of computing and humanities/social sciences. He also contributes to initiatives like AI for Humanists, making large language models accessible for text-as-data research. Bachelor’s degree: Not explicitly stated in text PhD: University of Massachusetts Amherst Research Interests: Mimno explores large language models, topic modeling, cross-lingual semantics, and ethical AI applications in humanities and legal domains. His recent work addresses data curation practices for language models, LLM memorization of poetry, and generative AI’s societal impacts. He co-authored reports on generative AI in academic research and education. Grants & Collaborations: His projects include the Text as Data (TADA) conference and collaborations on generative AI law workshops. Mimno’s MALLET toolkit supports document classification, clustering, and topic modeling, with applications in cultural analytics and computational historiography.
Jens Kreitewolf is a Faculty Lecturer in the Departments of Psychology and Mathematics and Statistics at McGill University. He teaches courses in statistics, research methodology, and psychophysics. His research focuses on auditory cognition, speech comprehension, and the neural mechanisms underlying voice perception. Dr. Kreitewolf holds a Ph.D. (Dr. rer. nat.) from Humboldt University of Berlin and completed postdoctoral fellowships at BRAMS and the University of Lübeck. His work combines experimental psychology, neuroimaging, and psychophysics to explore auditory processing challenges in adverse listening conditions. Key interests include how familiarity with a talker’s voice aids comprehension and the impact of hearing impairment on speech perception. Education: M.Sc. in Psychology (Ruhr University Bochum, 2009); Ph.D. in Psychology (Humboldt University of Berlin, 2014). Research Interests: Auditory scene analysis and speech-in-noise processing Voice recognition and familiarity effects Neural correlates of perceptual decision-making Circadian rhythms and perceptual sensitivity Cognitive neuroscience of auditory attention Publications highlight contributions to understanding: Risk factors for depression symptom progression Self-concept clarity in romantic evaluations Neurobiological mechanisms of working memory vulnerability Vestibular symptoms in migraine patients His interdisciplinary approach bridges psychology, statistics, and neuroscience, with applications to clinical populations and sensory processing disorders.
Liangming Pan is an Assistant Professor at the University of Arizona's College of Information Science. His research focuses on building trustworthy large language models (LLMs) with an emphasis on logical reasoning, truthfulness, and safety. He holds a PhD in Computer Science from the National University of Singapore (2022), a Master's from Tsinghua University, and a Bachelor's from Beihang University. Education : PhD in Computer Science, National University of Singapore (2022) Master of Engineering in Computer Science, Tsinghua University (2017) Bachelor of Engineering in Computer Science, Beihang University (2014) Research Interests : Dr. Pan's work centers on enhancing LLMs' reliability through: Logical reasoning mechanisms to ensure faithful deductions Truthfulness verification to combat misinformation Safety protocols to mitigate societal harm Key Contributions : Developed TART, an open-source framework for explainable table-based reasoning Created benchmarks like SCITAB and FactCheck-Bench for evaluating LLMs Advanced techniques for knowledge editing and causal reasoning Awards : Best Paper Runner-Up at NeurIPS Table Representation Workshop (2024) Area Chair Award for Question Answering (IJCNLP-AACL 2023) Service & Outreach : He serves as an Area Chair for EMNLP (2024), COLING (2025), and ACL (2024). He has delivered invited talks at Tsinghua University, Peking University, and other institutions.
Roman Feiman is the Thomas J. and Alice M. Tisch Assistant Professor of Cognitive, Linguistic, and Psychological Sciences and an Assistant Professor of Linguistics at Brown University. He directs the Brown Language and Thought Lab, focusing on how humans combine words into meaningful sentences and develop logical reasoning abilities. His research integrates methods from cognitive developmental psychology, psycholinguistics, and formal semantics. Feiman holds a PhD in Psychology from Harvard University (2015), followed by postdoctoral training at Harvard and UC San Diego. His work explores the cognitive systems underlying language and thought, including negation comprehension, quantifier scope, and the development of exact equality concepts. He teaches courses such as Language Processing in Humans and Machines and Logic in Language and Thought . His research interests span cognitive development, linguistic pragmatics, and the language of thought hypothesis. Notable findings include studies on children’s understanding of negation and how logical principles shape early language acquisition. Feiman has been recognized with the 2023 Henry Merritt Wriston Fellowship. His lab investigates topics like word referencing, semantic development, and the interplay between language and nonverbal reasoning. Recent work examines how neural networks might model human cognitive processes, bridging AI and psychological theory.
Suzanne Stevenson is a Professor in the Department of Computer Science at the University of Toronto, affiliated with the Cognitive Science Research Community (CoRC). She holds a BS in Computer Science and Linguistics from William & Mary and MS/PhD in Computer Science from the University of Maryland. Before joining UofT in 2000, she was faculty at Rutgers University with joint appointments in Computer Science and Cognitive Science. Her research focuses on computational cognitive models of language acquisition and processing, integrating insights from linguistics, psycholinguistics, and machine learning. Key areas include semantic/syntactic learning from text, probabilistic computational models of word learning, and cross-situational learning. Notable awards include the NSERC University Faculty Award (2000) and NSF CAREER Award (1997). Her work bridges computational linguistics and cognitive science, emphasizing multidisciplinary approaches. Recent publications (2014–2018) explore topics like probabilistic perspective models in language production, bilingual word associations, and semantic search algorithms. She advises on computational linguistics and cognitive modeling, with grants supporting investigations into language acquisition dynamics and semantic networks. Active in teaching, she previously offered courses on computational linguistics and the computational lexicon. Her lab’s research themes include child language acquisition, ambiguity resolution, and computational modeling of linguistic phenomena.
Stephen Marshall is Professor of Urban Morphology and Urban Design at The Bartlett School of Planning, University College London. He also served as Visiting Professor at the Department of Architecture and Urban Studies, Politecnico di Milano, Italy from 2019 to 2021. With over twenty-five years of experience in the built environment fields, initially in consultancy and subsequently in academia, Professor Marshall has established himself as a leading expert in urban morphology and design. His educational background includes a Doctor of Philosophy from University College London (2001), a Postgraduate Diploma from Edinburgh College of Art (1995), a Master of Science from the University of Leeds (1989), and a Bachelor of Engineering from the University of Glasgow (1988). Professor Marshall's principal research focuses on urban morphology and street layout, examining their relationships with urban formative processes including urban design, coding and planning. His work bridges urban design theory with practical applications, exploring how cities evolve through complex interactions of physical form, social processes, and planning interventions. He has written or edited several influential books including 'Streets and Patterns' (2005), 'Cities, Design and Evolution' (2009), and 'Urban Coding and Planning' (2011). His recent publications reveal a growing interest in applying complexity science to urban morphology, with particular attention to biological analogies for understanding self-organizing cities. He has pioneered research on digital participation methods in urban planning, exploring how online platforms can enhance public engagement in urban space design. His work consistently bridges theoretical urban morphology with practical applications for contemporary urban challenges like pandemic adaptation and sustainable transport. Professor Marshall has served as Chair of the Editorial Board of Urban Design and Planning from its launch to 2012, and is now co-editor of Built Environment journal. His editorial work has significantly shaped scholarly discourse in urban planning and design. He leads several significant research initiatives including the Incubators of Public Spaces project, which explores digital platforms for co-creating urban spaces, and the Self-Organising Built Environment project, which investigates biological analogies in urbanism. These projects reflect his interdisciplinary approach to understanding and shaping urban environments, connecting with Sustainable Development Goal 11 (Sustainable Cities and Communities).
