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K. Michael HaysView profile

Professor

• Architectural Theory
• European Modernism
• Critical Theory
• +3 more

K. Michael Hays is the Eliot Noyes Professor of Architectural Theory at Harvard University's Graduate School of Design (GSD) and Co-Director of the Master in Design Studies program. He has been a faculty member since 1988, specializing in architectural history and theory. His research focuses on European modernism, critical theory, and contemporary architectural practice, with notable contributions to the field through writings on figures like Mies van der Rohe and Peter Eisenman. Education: He holds a Bachelor of Architecture (1976) from Georgia Institute of Technology, a Master of Architecture in Advanced Studies (1979) from MIT, and a PhD in History, Theory, and Criticism of Architecture and Art (1990) from MIT. Research Interests: Hays is renowned for founding the journal Assemblage , a pivotal forum for architectural theory. His work bridges historical analysis and contemporary practice, emphasizing theoretical frameworks for understanding modernism and its evolution. He has curated exhibitions at institutions like the Whitney Museum of American Art (as its first Adjunct Curator from 2000–2009). Publications: His authored and edited works include Architecture's Desire , Inscriptions: Architecture Before Speech , and critical studies on architects such as Buckminster Fuller and Diller + Scofidio. These publications explore themes of representation, modernist aesthetics, and interdisciplinary design. Awards and Roles: While no specific awards are listed, his academic leadership roles include Chair of the GSD PhD Committee (1995–2005) and Director of Advanced Independent Study Programs. He has also served on editorial boards for journals like Assemblage and Thresholds . Labs and Collaborations: Hays collaborates with academic and institutional partners, notably through curatorial projects and his role in shaping the GSD's theoretical curriculum. His influence extends to both pedagogical innovation and scholarly discourse in architectural education.

Anca DraganView profile

Associate Professor

• Human-AI Interaction
• Human-Robot Interaction
• AI Safety and Alignment
• +5 more

Anca Dragan is an Associate Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, where she runs the InterACT Lab focused on algorithms for human-AI and human-robot interaction. Currently on leave from Berkeley, she leads AI Safety and Alignment at Google DeepMind, overseeing safety for Gemini models and preparing for future advancements. Dragan has been a co-PI of the Center for Human-Compatible AI and served on the steering committee for the Berkeley AI Research (BAIR) Lab. B.Sc. in Computer Science from Jacobs University Bremen, Germany Ph.D. from Carnegie Mellon University Dr. Dragan's research focuses on enabling AI agents to work effectively with, around, and in support of people. Her work bridges robotics, machine learning, and game theory to create systems that better understand human preferences and coordinate with users. Key areas include AI alignment (ensuring AI does what people actually want), learning reward functions from diverse human feedback forms, and developing algorithms for human-AI collaboration across domains like autonomous vehicles, brain-machine interfaces, and recommender systems. Her research emphasizes maintaining uncertainty about human preferences and accounting for the plurality of human values. Dr. Dragan's recent publications reveal a strong focus on addressing fundamental challenges in AI safety and alignment. Her work spans theoretical foundations of reward learning, practical implementations for human-AI coordination, and critical examinations of limitations in current approaches. There's a clear trajectory toward more robust, safe, and value-aligned AI systems that can handle complex human preferences while avoiding both present-day harms and potential catastrophic risks. IEEE RAS Early Academic Career Award in Robotics and Automation (2021) McEntyre Award for Excellence in Teaching (2020) PECASE (Presidential Early Career Award for Science and Engineering) (2019) Sloan Fellowship (2018) NSF CAREER Award (2017) Okawa Foundation Award (2017) MIT Tech Review 35 Innovators Under 35 (2017) Multiple best paper awards at top robotics and AI conferences Dr. Dragan has mentored numerous successful students who have gone on to faculty positions at MIT, Stanford, CMU, and Princeton, as well as industry roles at DeepMind, Waymo, and Meta. Her advising philosophy emphasizes both technical rigor and consideration of broader societal impacts. She has secured significant research funding including NSF CAREER, ONR Young Investigator, and Okawa Foundation awards, supporting work on human-AI interaction and alignment. Dragan has also consulted for Waymo for six years, helping develop roadmaps for deploying increasingly learning-based safety-critical systems. Dr. Dragan leads the InterACT Lab at UC Berkeley, which has produced influential work on Cooperative Inverse Reinforcement Learning, Inverse Reward Design, and other foundational concepts in human-AI interaction. The lab's research has significantly shaped the field of AI alignment, with applications spanning autonomous vehicles that coordinate with human drivers, brain-machine interfaces that adapt to user needs, and language models that better understand human preferences. Current work focuses on scaling safety approaches as AI capabilities advance, ensuring alignment keeps pace with technological progress.

• Digital Journalism
• Fact-checking
• Media Platforms
• +7 more

Oscar Westlund serves as Professor at the Department of Journalism and Media Studies within the Faculty of Social Sciences at Oslo Metropolitan University (OsloMet), where he co-leads the OsloMet Digital Journalism Research Group. He maintains a secondary appointment at the University of Gothenburg and acts as Editor-in-Chief of Digital Journalism . His research spans digital journalism, fact-checking, platform dynamics, media management, news consumption, and mobile media. Westlund's scholarly focus centers on journalism safety in digital environments, sociotechnical dimensions of misinformation combat, and platform-induced challenges for news organizations. His work examines professional fragilities of journalists, epistemological foundations of data journalism, and legitimacy paradoxes in public service media-platform relationships. Current projects address disinformation countermeasures through the SCAM initiative (Source Criticism And Mediated Disinformation). Analysis of his 2022-2024 publications reveals dominant themes: journalism safety frameworks (33%), platform-journalism tensions (27%), and fact-checking as sociotechnical practice (23%). Key methodological approaches include cross-national comparative studies, epistemological analysis, and practice theory applied to digital news production. Westlund actively contributes to academic discourse through editorial leadership at Digital Journalism and special issue guest editing. His research group coordinates interdisciplinary collaboration on digital journalism studies, while the SCAM project develops practical methodologies for disinformation detection in democratic contexts. Recent work demonstrates increasing emphasis on mobile news ecosystems and journalist safety cultures. He co-leads the OsloMet Digital Journalism Research Group, which investigates platform impacts on news production, mobile journalism evolution, and epistemological shifts in data-driven reporting. The group maintains strong international partnerships, particularly with Swedish institutions through his University of Gothenburg affiliation.

Andrew StephenView profile

Professor

• Digital Marketing
• Social Media Strategy
• Consumer Behavior
• +5 more

Andrew Stephen is the L’Oréal Professor of Marketing and Deputy Dean for Faculty and Research at Saïd Business School, University of Oxford. He leads the Marketing faculty and directs the Oxford Future of Marketing Initiative, focusing on emerging technologies like AI and data-driven strategies in marketing, media, and advertising. His research explores digital marketing, consumer behavior, and the impact of new technologies, earning him recognition as a top global marketing scholar. His academic contributions span leading journals such as the Journal of Consumer Research and Harvard Business Review. He serves as editor of the Journal of Consumer Research, co-editor of the International Journal of Research in Marketing, and actively engages with industry through councils like the Mobile Marketing Association’s Brand Safety Council. Teaching responsibilities include marketing curriculum oversight and courses across MBA, Executive MBA, and DPhil programs, focusing on digital transformation, marketing analytics, and the future of marketing. His work bridges academic rigor with industry relevance, addressing challenges in tech-enabled marketing and global brand strategies. Awards: Top marketing academic in the UK (AMA), featured in Poets & Quants’ top 40 under 40, multiple research excellence awards. Labs/Initiatives: Oxford Future of Marketing Initiative, fostering collaborations with leading companies to tackle industry challenges. Grants/Advising: Extensive industry partnerships and academic grants not explicitly detailed in the text.

Meredith TammingaView profile

Associate Professor

• Sociolinguistics
• Psycholinguistics
• Language Change
• +4 more

Meredith Tamminga is an Associate Professor of Linguistics at the University of Pennsylvania, where she directs the Language Variation and Cognition Lab . Her work bridges sociolinguistics , psycholinguistics , and theoretical linguistics , focusing on how linguistic variability is represented in mental grammar and how social context influences speech perception and production. She co-leads the Philadelphia Signs Project , exploring sign language sociolinguistics with collaborators at Penn and Gallaudet University. PhD in Linguistics (2014), University of Pennsylvania BA in Linguistics (2009), McGill University Her research integrates experimental methods with naturalistic speech analysis to study individual and group-level language change. Keywords include phonetics-phonology mapping , intraspeaker variation , and quantitative modeling . Notable grants include NSF awards and SAS Dean’s Mentorship Award . Key affiliations include MindCORE , Penn’s hub for integrative mind sciences, and collaborative ties to the Phonetics Lab , Child Language Lab , and Cultural Evolution of Language Lab . Her lab emphasizes cross-departmental research and welcomes undergraduate RAs and PhD students.

Smirnov StanislavView profile

Professor

• Mathematical Physics
• Probability
• Complex Analysis
• +3 more

Stanislav Smirnov is a Professor at the University of Geneva's Department of Mathematics since 2003 and Head of the Chebyshev Laboratory at St. Petersburg State University since 2010. He holds a Ph.D. from the California Institute of Technology (1996) and a B.Sc./M.Sc. from St. Petersburg State University (1992). His research focuses on mathematical physics, probability, complex analysis, and dynamical systems, with groundbreaking contributions to the understanding of critical phenomena in statistical physics. Key achievements include receiving the Fields Medal (2010), the highest honor in mathematics, for his work on percolation and the Ising model. He has organized major international conferences, such as the 'St. Petersburg School in Probability & Statistical Physics' (2012) and the '2D Statistical Physics Workshop' (2013). His academic career includes positions at Yale University, the Max-Planck Institute, and KTH Royal Institute of Technology. Education: Ph.D., Mathematics, California Institute of Technology (1996) B.Sc./M.Sc., Mathematics (with honors), St. Petersburg State University (1992) Awards: Fields Medal (2010) European Research Council Advanced Grants (2008, 2013) Rollo Davidson Prize (2002) Salem Prize (2001) Smirnov’s research bridges probability theory and complex analysis, with notable results on conformal invariance in two-dimensional models. His work has advanced understanding of critical exponents, percolation thresholds, and the universality of phase transitions. He advises doctoral students and collaborates internationally on projects funded by Swiss and European grants. He co-organized over 20 conferences worldwide, including plenary talks at the International Congress of Mathematicians (2006, 2010) and the World Congress in Probability and Statistics (2012). His lab fosters interdisciplinary research, linking mathematics to physics and computer science.

Syed Hani Hassan AbidiView profile

Associate Professor

• Virology
• Immunology
• Viral Oncology
• +7 more

Syed Hani Hassan Abidi is an Associate Professor at the Department of Biomedical Sciences , School of Medicine , Nazarbayev University , Kazakhstan. His research integrates virology , immunology , viral oncology , and bioinformatics , with a focus on HIV molecular epidemiology , viral evolution , and drug resistance . He has led international projects across Pakistan, Kenya, Afghanistan, and Kazakhstan, and is recognized for innovative teaching and MOOC development. Education: PhD in Virology and Immunology Research Interests: His laboratory employs bioinformatics (machine learning, AI), genomics , and proteomics to study HIV phylodynamics , viral co-infections , and oncogenic viruses like EBV in prostate cancer. He also explores microbiome-immunity interactions and designs antiviral drugs/vaccines . Recent Research Trends: His 2025 publications emphasize COVID-19 immunopathology , HIV/syphilis epidemiology in Pakistan , and particle physics contributions via ATLAS , showcasing interdisciplinary impact. Awards & Recognition: Outstanding Teachers Award (2019, Aga Khan University) Fellowship of Higher Education (UK, 2022) Teaching & Grants: He pioneered Pakistan’s first MOOC on Computer-Based Drug Discovery (2014) and received a 2022 SoTL grant for MOOC-based molecular biology education. His teaching integrates animations , films , and flipped classrooms . Collaborations & Labs: Leads projects on HIV drug resistance , HCV genomics in Kazakhstan , and AI-driven dementia diagnostics (Kazakh Brain Atlas). His lab collaborates with global institutions to advance viral disease surveillance and therapeutic innovation .

• Constitutional Law
• Statutory Interpretation
• Human Rights Law
• +2 more

Professor Dan Meagher is a Chair in Law at Deakin University's Faculty of Business and Law, where he leads research in constitutional law and statutory interpretation. He serves as Director of Research at Deakin Law School and actively contributes to legal scholarship through publications, editorial work, and supervision of doctoral candidates. Doctor of Philosophy, University of New South Wales Master of Laws, Monash University Bachelor of Economics, Monash University Bachelor of Laws (LLB), Monash University His research focuses on constitutional law, statutory interpretation, and human rights protections. He explores the principle of legality, responsible government norms, and the interplay between common law and statutory frameworks, often advocating for enhanced rights protections through judicial interpretation. Professor Meagher's scholarly output highlights trends in Australian constitutionalism, including proportionality in secondary legislation, non-discrimination principles, and the evolution of common law rights. His work bridges doctrinal analysis with practical implications for legislative drafting and judicial review. Elected Fellow of the Australian Academy of Law Comments Editor for the Public Law Review Director of Research at Deakin Law School He supervises doctoral research on topics like human rights protection and legislative drafting models. His professional activities include co-editing major legal texts and contributing to debates on constitutional evolution and judicial interpretation.

Celestine Mendler-DünnerView profile

Professor

• Machine Learning in Social Context
• Algorithmic Collective Action
• Performative Prediction
• +6 more

Celestine Mendler-Dünner is a Principal Investigator at the ELLIS Institute in Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center. She leads the Algorithms and Society research group, focusing on machine learning in social contexts and the role of prediction in digital economies. Her work bridges theoretical machine learning with practical societal impact, developing tools for safe, reliable, and equitable AI ecosystems. Her educational background includes a PhD from ETH Zurich in collaboration with IBM Research, followed by an SNSF postdoctoral fellowship at UC Berkeley hosted by Moritz Hardt. She was previously a group leader at the Max Planck Institute for Intelligent Systems before joining the ELLIS Institute. Mendler-Dünner's research spans several interconnected themes including performative prediction (where predictions change the behavior they aim to predict), algorithmic collective action (how participants can steer AI systems toward common goals), and the role of LLMs in social science research. Her work combines theoretical foundations with practical implementations, addressing challenges in interactive machine learning, optimization in dynamic environments, and context-specific evaluation of AI systems. She particularly examines how algorithmic predictions mediate services and platforms at societal scale, exploring concepts of economic power in digital markets. Her publication record shows a clear evolution from system-aware machine learning algorithms (including foundational work on IBM Snap ML) toward increasingly sociotechnical questions at the intersection of machine learning, economics, and policy. Recent work focuses on measuring performative power in digital economies, evaluating LLMs as risk scores, and developing frameworks for algorithmic collective action in recommender systems and labor markets. Among her notable recognitions are the ETH Medal for her dissertation, the IBM Research Division Award, the Fritz Kutter Award, and the IBM Eminence and Excellence Award. She is an ELLIS Scholar, a fellow of the Elisabeth-Schiemann-Kolleg, and affiliated with several prestigious research programs including the International Max Planck Research School for Intelligent Systems and the Max Planck ETH Center for Learning Systems. ETH Medal (dissertation award) IBM Research Division Award Fritz Kutter Award IBM Eminence and Excellence Award SNSF Early Postdoc Mobility Fellowship Mendler-Dünner actively mentors the next generation of researchers, advising PhD student Patrik Wolf and supervising research interns including Joachim Baumann, Haiqing Zhu, and Anna Badalyan, as well as Master's student Dorothee Sigg. She serves as core faculty for the International Max Planck Research School and associated faculty for the Max Planck ETH Center for Learning Systems. Her group has secured significant research funding through fellowships and institutional support, enabling work on projects like Powermeter (measuring search engine influence) and Snap ML (resource-efficient machine learning library with over 1 million PyPI downloads). She leads the Algorithms and Society research group, which examines machine learning as part of broader sociotechnical ecosystems. The group explores human-population interactions with algorithmic systems and incorporates these insights into learning system fundamentals. Current projects include investigating economic incentives in digital platforms, developing tools for systematic LLM evaluation in social science contexts, and creating frameworks for collective action in algorithmic systems. Mendler-Dünner also co-organizes the Algorithmic Collective Action workshop at NeurIPS 2025, demonstrating her leadership in emerging research directions at the AI-society interface.

Simon BirrerView profile

Assistant Professor

• Cosmology
• Gravitational Lensing
• Dark Matter
• +2 more

Simon Birrer is an Assistant Professor in Physics and Astronomy at Stony Brook University, specializing in cosmology and gravitational lensing. He holds a PhD from ETH Zurich (2016) and previously served as Kavli Fellow at Stanford University. Birrer leads research probing dark matter and dark energy using gravitational lensing phenomena. His group develops computational tools for analyzing strong gravitational lensing data to study cosmic expansion and dark matter distribution. Research areas include time-delay cosmography, Hubble constant measurements, and machine learning applications in astrophysics. Recent publications focus on multi-messenger gravitational lensing (2025), LSST survey applications (2025), and AI-powered lens modeling pipelines (2025). His work consistently addresses fundamental cosmological tensions like the Hubble constant discrepancy. Awards: Kavli Postdoctoral Fellowship (2019-2022) Kugelpyramide Lifetime Achievement Award Experimental Innovation Award (ETH Zurich) Research Group: Leads the SBU Strong Lensing group with 9+ graduate students and postdocs. The group participates in major collaborations including LSST Strong Lensing Science Collaboration (co-chair), LSST Dark Energy Science Collaboration, and TDCOSMO.

Andrea SelleriView profile

Assistant Professor

• Literary History
• Nineteenth-Century British Literature
• Literary Criticism
• +3 more

Andrea Selleri is an Assistant Professor in the Department of English Literature at Bilkent University, where he joined in September 2020. He holds a BA and MA from the University of Trieste and a PhD from the University of Warwick. His research focuses on the intersections between British literature, criticism, and philosophy in the long nineteenth century, with particular attention to authorship, aesthetics, and interdisciplinary approaches. Dr. Selleri has published extensively on Victorian literature and its philosophical contexts, including a monograph exploring the evolution of authorship concepts and co-editing Literary Studies and the Philosophy of Literature (Palgrave, 2016). His recent work includes a three-volume critical edition, Literature and Philosophy in Nineteenth-Century British Culture (Routledge, 2024), which compiles annotated primary sources. At Bilkent, he teaches courses such as ELIT 246 (Drama and Performance) , ELIT 366 (Victorian Literature) , and ELIT 458 (Literature and Philosophy in Nineteenth-Century British Culture) . He coordinates the Philosophy and Literature Colloquia series and serves as a review editor for the Journal of Victorian Culture . His research interests span literary history, modern literatures in English, French, Spanish, and Italian, and the philosophy of literature. Current projects include studies on free will in Victorian fiction and the legacy of Romantic authorship in formalist aesthetics.

• Media Studies
• Journalism
• Wikipedia Studies
• +3 more

Bunty Avieson is a Senior Lecturer in Journalism and Media at the University of Sydney's Faculty of Arts and Social Sciences. She holds a PhD and MPhil from Macquarie University, specializing in media theory and literary analysis. Her research focuses on Bhutanese media development, Wikipedia's societal impact, and the intersection of journalism with literary practices. PhD Thesis: Media development in Bhutan during its democratic transition MPhil: 'The Poetics of Paranoia' exploring self-construction through Derrida and Nagarjuna Research Interests: Her work spans media policy in Bhutan, Wikipedia's role in knowledge equity, and the ethics of memoir writing. She has published extensively on Bhutan's media evolution and co-edited volumes on memory mediation and trauma narratives. Articles Trends: Recent work examines lifestyle journalism identity, Wikipedia's pandemic-era contributions, and Bhutan's unique digital media strategies. Earlier research explored Bhutan's transition from oral traditions to social media under Gross National Happiness principles. Awards: Vice-Chancellor's PhD Commendation (2013), Ned Kelly Awards for crime fiction (2001-2003) Grants & Projects: Principal Investigator in the Bhutan-Wiki Project (DECRA-funded), co-developed the Australian Colonial Narrative Journalism Database. Received grants for Tamil diaspora storytelling and Bhutan media studies. Professional Roles: Wikimedia Australia Vice President, member of journalism education associations, and former editor of Woman's Day.

John StantonView profile

Academic

• Constitutional Law
• Comparative Constitutional Law
• Local Government
• +9 more

Dr John Stanton is a Reader in Law at City St George's, University of London, with a focus on Constitutional Law and Comparative Constitutional Law. He has held academic roles since 2010, previously at Kingston University and City University, and is a Visiting Lecturer at the University of Malta since 2018. PhD in Law (Kingston University London, 2010) LLB Law (University of Surrey, 2007) His research spans Maltese constitutional history , local government dynamics , democracy , and central-local relations . Recent projects include Law, Localism and the Constitution (2023) and co-editing The Constitution of Malta at Sixty (2024). John’s publications and conference presentations (e.g., at Melbourne and Texas) address themes like constitutional decay , autocracy , and democratic resilience . He contributes to journals such as Legal Studies , Public Law , and Environmental Law Review . Learning Enhancement Award for Teaching (2017) Fellow, Higher Education Academy He testified before the UK Parliament on devolution and is active in the Society of Legal Scholars , UK Constitutional Law Association , and the Honourable Society of the Inner Temple .

• Nuclear Weapons
• Deterrence Strategy
• International Relations Theory
• +3 more

Keir A. Lieber is a Professor at Georgetown University, holding dual appointments in the Edmund A. Walsh School of Foreign Service and the Department of Government. His research focuses on nuclear strategy, deterrence, technology’s role in warfare, and U.S. national security policy. He co-authored The Myth of the Nuclear Revolution and authored War and the Engineers , exploring how political decisions outweigh technological determinism. Lieber’s work appears in International Security , Foreign Affairs , and other leading journals. He has received major fellowships from institutions like the Brookings Institution and the Council on Foreign Relations. Education: Ph.D. and M.A. in Political Science from the University of Chicago; B.A. in Political Science and International Relations from the University of Wisconsin-Madison. A proud alumnus of D.C. public schools, Lieber emphasizes interdisciplinary approaches to security studies. His research interests span nuclear deterrence theory, the impact of emerging technologies on conflict, and the evolution of U.S. defense strategies. Recent work addresses nuclear tripolarity and the challenges of escalation control in modern conflicts. Awards include recognition for his contributions to international relations scholarship and policy analysis. Lieber’s academic contributions include co-editing volumes on realism and advising on national security policy. Grants and fellowships have supported his exploration of topics like cyber warfare and nuclear non-proliferation.

Daniel CooneyView profile

Assistant Professor

• Mathematical Biology
• Applied Dynamical Systems
• Differential Equations
• +4 more

Daniel Cooney is an Assistant Professor in the Department of Mathematics at the University of Illinois Urbana-Champaign. He holds additional affiliations as an Affiliate at the Carl R. Woese Institute for Genomic Biology. His research focuses on applying partial differential equations (PDEs), dynamical systems, and stochastic processes to study evolutionary dynamics, particularly in biological and social systems. Key themes include multilevel selection, evolutionary game theory, and the emergence of cooperative behavior. Cooney earned his PhD in Applied and Computational Mathematics from Princeton University, advised by Simon Levin, and completed a postdoc as a Simons Fellow in Mathematical Biology at the University of Pennsylvania. His work bridges theoretical mathematics with applications in ecology, epidemiology, and social sciences. Recent publications explore topics like altruistic punishment in cultural systems, classroom-turnover dynamics, and protocell evolution. He actively participates in academic outreach, co-organizing conferences such as the AMS Special Session on Mathematics of Infectious Disease and the SIAM Minisymposium on Social-Ecological Systems. His research has been published in high-impact journals including *Proceedings of the National Academy of Sciences* and *Bulletin of Mathematical Biology*.