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Chen Zhou is a Full Professor of Mathematical Statistics and Risk Management at the Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam. He is a member of the Research Advisory Committee of Erasmus School of Economics and actively contributes to academic leadership and research governance. His research focuses on extreme value statistics and financial risk management , with significant contributions to the theoretical and applied understanding of extreme events in financial and statistical contexts. His work bridges mathematical rigor with practical applications in finance and econometrics. The recent publications highlight a strong trend in advancing methodologies for extreme value estimation, including bootstrapping techniques, tail copula modeling, dimension reduction for extremes, and semi-supervised frameworks. These works are published in high-impact journals such as the Journal of the American Statistical Association , Bernoulli , and the Journal of Finance , indicating broad disciplinary relevance across statistics, econometrics, and finance. Editorial work: Editor, Extremes (since 2015) He teaches in the Bachelor program of Econometrics and Management Science and the MSc program in Quantitative Finance, and is affiliated with the Tinbergen Institute. He has supervised multiple doctoral students, reflecting his active role in academic mentorship and research training. Chen Zhou leads a research network focused on extreme value theory, systemic risk, and statistical inference, collaborating with leading scholars in the field. His work continues to shape methodological developments in the analysis of rare and high-impact events.

• Extreme Value Statistics
• Financial Risk Management
• Mathematical Statistics
• +7 more

Stephani L. Wrabel is a Senior Policy Researcher at the RAND Corporation and Professor of Policy Analysis at the RAND School of Public Policy. She conducts influential research on education policy, social and emotional learning, and defense-funded youth programs, with her work shaping both federal and state policies. Institution: RAND Corporation School: RAND School of Public Policy Position: Professor of Policy Analysis Email: Stephani_Wrabel@rand.org Education: Ph.D. in Urban Education Policy, University of Southern California M.Ed., University of Florida B.A., Boston University Her research focuses on improving educational outcomes for students and military-connected populations through rigorous evaluation and policy analysis. She specializes in standards-based accountability, educational equity, program evaluation, and social and emotional learning. Her work often centers on vulnerable youth, including those in the National Guard Youth ChalleNGe and JROTC programs, and she has led major federal evaluations, including for the U.S. Department of Education’s Center to Improve SEL and School Safety. Analysis of her recent publications shows a consistent focus on youth development, military-civilian integration, educational equity, and evidence-based policy. Her research spans program evaluation, technical assistance frameworks, and longitudinal impact studies, with a strong emphasis on practical, policy-relevant findings. She frequently publishes both comprehensive reports and executive summaries to reach diverse stakeholders. Scientific Awards: No awards listed in the provided text. Wrabel leads major research initiatives and serves as principal investigator on defense-funded education studies. Her work involves collaboration with federal agencies, education departments, and military organizations. She has developed practical tools for program evaluation, particularly for Marine and Family Division programs, supporting effective resource use and program improvement. Her leadership in large-scale evaluations demonstrates significant grant and project management experience. She is actively involved in research teams focused on education reform and military youth programs. Her work with the Center to Improve Social and Emotional Learning and School Safety involved a multi-year technical assistance network, indicating leadership in collaborative, interdisciplinary teams.

• Education Policy
• Social and Emotional Learning
• Program Evaluation
• +9 more

Claire Vernade is a Group Leader at the University of Tübingen within the Cluster of Excellence Machine Learning for Science. She holds an Emmy Noether award (2022) and an ERC Starting Grant (2024) for her projects FoLiReL and ConSequentIAL , focusing on theoretical reinforcement learning and non-stationary environments. Education: PhD from Telecom ParisTech (2017) Post-doctoral researcher at University of Magdeburg (2018) Her research bridges sequential decision making, bandit problems, and reinforcement learning theory. Recent work explores lifelong learning, distributional RL, and game-theoretic approaches to PCA, emphasizing mathematical rigor and algorithmic innovation. Recent publications highlight trends in non-stationary RL , continual learning , and bandit algorithms with complex feedback structures. Key subfields include meta-learning, adaptive control, and theoretical guarantees in dynamic programming. Scientific Awards: Emmy Noether Award (2022) ERC Starting Grant (2024) Outstanding Paper Award & Oral Presentation, ICLR (2021) She mentors PhD and master's students in theoretical machine learning, with current advisees including Nicolas Nguyen, Onno Eberhard, and Ziyad Sheebaelhamd. Her lab actively recruits candidates in bandit algorithms and RL theory through the IMPRS-IS and ELLIS doctoral programs. Claire co-leads diversity initiatives like Tübingen Women in Machine Learning and Women in Learning Theory, advocating for inclusivity in AI research. She has organized workshops at ICML and EWRL, and contributed to union activism in the tech industry.

• Reinforcement Learning
• Bandit Algorithms
• Learning Theory
• +4 more

Professor John D. Kubiatowicz is a faculty member at the University of California at Berkeley in the Department of Electrical Engineering and Computer Sciences since 1998. He holds a PhD in Electrical Engineering and Computer Science (minor in Physics) from MIT (1998), an M.S. in EECS (1993), and a double B.S. in Electrical Engineering and Physics (1987) from MIT. His research interests span Quantum Computing Architectures Distributed Systems and Storage Network Security and Peer-to-Peer Protocols Introspective and Manycore Operating Systems Edge and Fog Computing Hardware-Assisted Security He has pioneered systems like OceanStore , a global-scale distributed file system, and Tessellation , a manycore OS with continuous adaptation. The scientific awards he has received include Presidential Early Career Award (PECASE, 2000) Scientific American 50 (2002) Diane S. McEntyre Teaching Award (2003) IEEE ICRA Best Paper (2025) George M. Sprowls Award for MIT PhD thesis (1998) Okawa Research Grant (1998) Best Paper at International Conference on Supercomputing (1993) His recent publications focus on Quantum Circuit Design and Optimization Edge/Fog Computing Architectures Secure Runtime Systems Distributed Garbage Collection Manycore OS Innovations Hardware-Assisted Security Mechanisms He leads the Quantum Architecture Research Center and co-founded the SWARM Lab at Berkeley, advancing a vision of self-adapting, secure systems from the chip level to internet scale.

• Computer Architecture
• Quantum Computing
• Distributed Systems
• +7 more

Dr Bastien Lechat is a Research Fellow at Flinders Health and Medical Research Institute (FHMRI): Sleep Health, within the College of Medicine and Public Health at Flinders University. He is also a Full Member of the College of Science and Engineering and the Medical Device Research Institute. As an NHMRC Emerging Leadership Fellow, he leads innovative research at the intersection of sleep medicine, artificial intelligence, and wearable technology. Education: PhD in Sleep Health, Adelaide Institute for Sleep Health, Flinders University (2018–2021) Bachelor of Engineering in Engineering Science/Acoustics, Université du Maine, France (2014–2017) Dr Lechat’s research focuses on understanding the physiological mechanisms and consequences of obstructive sleep apnea (OSA), particularly night-to-night variability and patient subtypes. He develops AI-driven tools for efficient and accurate diagnosis using wearables and signal processing. His work aims to create a scalable, low-cost model of care for sleep-disordered breathing, addressing global diagnostic gaps. His recent publications reveal a strong trend in digital health innovation, with a focus on machine learning for OSA detection, circadian rhythm modeling, cardiovascular risk prediction, and climate impacts on sleep. His research has been published in top journals including Nature Communications , Journal of Sleep Research , and Sleep Medicine , demonstrating interdisciplinary reach. Scientific Awards and Recognition: NHMRC Emerging Leadership Fellow (2023) Helen Bearpark Memorial Scholarship (2022) Emerging Research Leader Award, Flinders University (2021) Multiple early-career awards from Sleep Down Under, Australasian Sleep Association, and Adelaide Sleep Retreat Ranked in the top 5% of international authors in sleep apnea by Expertscape Dr Lechat has secured over $2.5 million in competitive research funding and actively supervises and mentors junior researchers. He serves on the program committee of the American Thoracic Society meetings and contributes to clinical guidelines. He collaborates globally with industry and academic partners to translate research into clinical practice. Laboratories and Research Teams: He co-leads the 'Novel use of digital innovations & technology development' theme at FHMRI: Sleep Health, working closely with Professor Danny Eckert. His team integrates expertise in biomedical engineering, data science, and clinical sleep physiology to advance digital sleep medicine.

• Sleep Disorders
• Obstructive Sleep Apnea
• Digital Health
• +7 more

Jim Crutchfield is a Distinguished Professor of Physics at the University of California, Davis, where he also serves as Director of the Complexity Sciences Center. He holds additional affiliations as President and Scientific Director of the Art & Science Laboratory in Santa Fe, External Faculty at the Santa Fe Institute, General Member of the Telluride Science Research Center, and Visiting Scholar at the Redwood Center for Theoretical Neuroscience. His work bridges physics, computation, and complex systems. Education: B.A. summa cum laude in Physics and Mathematics, University of California, Santa Cruz (1979) Ph.D. in Physics, University of California, Santa Cruz (1983) Crutchfield's research centers on computational mechanics , a framework he pioneered to quantify how natural systems store, process, and transmit information. His interests span nonlinear dynamics, evolutionary dynamics, information engines, quantum computation, and pattern discovery. He explores how structure emerges in complex systems, from cellular automata to biological evolution and neural networks. His recent work focuses on thermodynamic computing, causal inference, and the physics of intelligence. His publications reveal a consistent focus on the interplay between information, energy, and computation in physical systems. Themes include the thermodynamics of information engines, causal architecture in time series, emergent organization, and intrinsic computation in quantum and classical domains. These works span disciplines such as physics, computer science, biology, and cognitive science. Scientific Recognition: Postdoctoral Fellow, Miller Institute for Basic Research in Science IBM Postdoctoral Fellow, Condensed Matter Physics Distinguished Visiting Research Professor, Beckman Institute Bernard Osher Fellow, San Francisco Exploratorium NSF Graduate Fellow UCB Chancellor’s Fellow Crutchfield has advised over two dozen PhD students in physics, computer science, and mathematics, contributing significantly to the next generation of complexity scientists. He has led major interdisciplinary initiatives, including NSF-funded museum exhibits and workshops on network dynamics, collective cognition, and evolutionary dynamics. He has also been active in public discourse through talks, films, and publications on the philosophy of complexity. He leads research groups exploring the dynamics of learning, pattern discovery, and distributed intelligence, often in collaboration with institutions like the Santa Fe Institute and Caltech. His work continues to shape the theoretical foundations of complex systems science.

• Computational Mechanics
• Dynamics of Learning
• Evolutionary Dynamics
• +12 more

Cecilia Feilla is an Associate Professor of English and World Literatures and Theatre Arts at Marymount Manhattan College, where she contributes to both literary and theatrical scholarship and pedagogy. Her academic focus spans comparative drama, theatre history, and performance studies, with a strong emphasis on French Revolutionary theatre and its global reverberations. Her research interests include French theatre from the 17th to 19th centuries , adaptation studies , genre theory , and the transnational impact of the French Revolution on performance . She explores how revolutionary ideals were staged, adapted, and reinterpreted across time and cultures, including in early 20th-century China. Her interdisciplinary approach bridges literature, history, politics, and performance. Dr. Feilla’s recent publications reflect a consistent engagement with revolutionary aesthetics, gender, historiography, and pedagogical innovation. Her articles examine topics such as prostitution in Revolutionary drama, the representation of time and history, and immersive teaching models. She has also published on multimodal learning and the adaptation of historical figures like Louise Michel in global contexts. Her awards and fellowships highlight her scholarly and teaching excellence: Fellow, Second Book Institute, University of Tulsa (2023) Senior Faculty Leave Fellowship, Marymount Manhattan College (2023) Runner-up, Margarita Donnelly Prize for Prose Writing (2021) Innovative Course Design Prize, American Society for Eighteenth-Century Studies (2020) Teaching Innovation Award, C-TIE (2018) Sokol Research Grant (2018) Outstanding Faculty Member Award, Humanities & Social Sciences Division (2017) Andrew W. Mellon Innovation Grant (2017) Dr. Feilla has held significant administrative roles, including Director of Assessment (2017–2020), Chair of English & World Literatures (2012–2015), and Director of Learning Communities (2010–2013). She has also been a research fellow at the Folger Shakespeare Library, NYU, and Philipps Universität-Marburg. Her current book project, The Reinvention of Love: Stage Adaptations of the Abelard and Heloise Story , continues her exploration of love, history, and performance. She is actively involved in mentoring and curriculum development, teaching courses such as World Drama, Theatre Histories, Literature & Revolution, and seminars on Romanticism, Gothic fiction, and classical literature.

• Comparative Drama
• Theatre of the French Revolution
• Adaptation Studies
• +7 more

Xuan Zhang is an Associate Professor at the Department of Information and Communication Technology, University of Agder. His research focuses on Tsetlin Machines, learning automata, and their applications in machine learning, computer vision, and hyperspectral imaging. Research Trends: Zhang’s recent work includes developing interpretable machine learning models (e.g., Tsetlin Machines), optimizing convolutional architectures for image processing, and applying automata theory to solve multi-armed bandit problems and channel selection in cognitive networks. His field spans theoretical analysis and practical implementations in AI, remote sensing, and health informatics. Scientific Contributions Co-developed advanced Tsetlin Machine variants for XOR/NOT operator convergence, disease forecasting, and image restoration Published in journals like IEEE Transactions on Pattern Analysis and Machine Intelligence , Information Sciences , and Applied Intelligence Explored Bayesian pursuit algorithms, hierarchical learning automata, and particle swarm optimization techniques Contact: xuan.zhang@uia.no

• Tsetlin Machines
• Reinforcement Learning
• Machine Learning
• +3 more

Tasos Dagiuklas is a Professor in the Department of Computer Science and Technology within the School of Engineering and Technology at the University of Bedfordshire. With over 168 publications spanning from 1995 to 2025, he has established himself as a leading researcher in telecommunications and network systems. His extensive publication record demonstrates continuous scholarly contribution across multiple decades in the field. Professor Dagiuklas' research focuses on wireless communications, edge computing, 5G/6G networks, quality of experience (QoE), and federated learning . His work bridges theoretical networking concepts with practical applications, particularly in multimedia delivery and security. He has developed significant expertise in video streaming optimization, network security mechanisms, and resource management in emerging network architectures. His research consistently addresses the evolving challenges of modern communication systems, with recent work increasingly focusing on AI integration in networking. Analysis of his recent publications (2023-2025) reveals a strong trend toward edge computing, federated learning, and security applications in next-generation networks. His work demonstrates a strategic shift from traditional networking concerns to more complex systems involving AI integration, energy efficiency, and heterogeneous environments. The publications show consistent collaboration with researchers across multiple institutions, with particularly strong partnerships with Muddesar Iqbal, Ilias Politis, and Stavros Kotsopoulos. Professor Dagiuklas has made substantial contributions to the academic community through his extensive publication record in high-impact venues including IEEE journals and conferences. His work has evolved from foundational networking research to cutting-edge investigations of AI-enhanced communication systems, reflecting the broader trajectory of the field itself. His research demonstrates both technical depth in specific networking challenges and breadth across multiple application domains.

• Wireless Communications
• Network Security
• Quality of Experience (QoE)
• +7 more

Eakta Jain is an Associate Professor in the Department of Computer & Information Science & Engineering at the University of Florida's College of Engineering. Her research centers on human-computer interaction with a specialized focus on eye-tracking technologies, virtual reality, and privacy-preserving techniques in immersive environments. With over 15 years of sustained academic contributions, she has established herself as a leading researcher in gaze analysis and its applications across multiple domains. Dr. Jain's research interests span eye-tracking, virtual reality, extended reality (XR), privacy in immersive technologies, human-computer interaction, computer vision, and animation. Her work demonstrates a consistent trajectory from fundamental gaze analysis techniques to practical applications addressing critical privacy concerns in emerging technologies. She has made significant contributions to understanding how gaze data can be used to enhance user experience while simultaneously developing methods to protect user privacy in these systems. Analysis of her recent publications reveals a strong focus on privacy challenges in XR environments, with particular attention to gaze data protection, face-swapping technologies, and the psychological impacts of continuous monitoring. Her research bridges theoretical insights with practical implementations, often resulting in novel algorithms and frameworks that address real-world problems in immersive technologies. The interdisciplinary nature of her work connects computer science with cognitive psychology and human factors research. Dr. Jain has received recognition through publications in top-tier venues including IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Applied Perception, and the Symposium on Eye Tracking Research and Applications. Her work has been influential in shaping the discourse around privacy in immersive environments and has practical implications for the development of ethical XR systems. She actively mentors students and collaborators, with several junior researchers appearing as co-authors on her publications. Her research group appears to focus on the intersection of computer vision, graphics, and human-centered computing, with projects spanning from fundamental gaze analysis to applied privacy-preserving techniques in commercial VR systems. Current projects suggest strong industry connections and potential grant funding supporting her privacy-focused XR research.

• Eye-tracking
• Virtual Reality
• Extended Reality (XR)
• +7 more

Ayşe Zişan FURAT is a Professor of Eurasian Studies at the Research Institute of Turkology, Istanbul University, a position she has held since February 2022. She is affiliated with the Department of Eurasian Studies and previously served in the Faculty of Theology and the Department of Philosophy and Religious Studies. Her institutional base is the Türkiyat Araştırmaları Enstitüsü, located in Beyazıt, Istanbul. Education: B.A. in History of Science, Istanbul University, 2001 M.A. in Religious Education, Department of Philosophy and Religious Studies, Istanbul University, 2004 Ph.D. in Religious Education, same department, 2009 Her research focuses on religious and cultural transformation across Eurasia, with particular attention to the history of science and education in Islamic and Turkic contexts. She investigates the interplay between religious institutions, educational systems, and cultural evolution in Anatolia, the Balkans, Central Asia, and the Ottoman Empire. Her work bridges humanities, religious studies, and historical sociology, emphasizing cross-cultural exchanges and knowledge transmission. The most recent publications reflect a strong thematic continuity in studying religious education, manuscript cultures, scientific traditions, and interfaith dynamics across Eurasia. Her scholarly output spans from the medieval to modern periods, combining historical analysis with cultural theory. Keywords across her articles include Religious Studies, History of Science, Eurasian Studies, and Cultural History, indicating a multidisciplinary approach grounded in the humanities. Scientific Contributions and Recognition: 115 publications indexed in Web of Science H-index of 12 (WoS), 14 (Google Scholar), 31 (TrDizin) Participation in 48 research projects Supervision of 14 theses Active contributor to UN Sustainable Development Goals through humanities research Ayşe Zişan FURAT has made significant contributions to academic advising and collaborative research. She has supervised numerous graduate theses and participated in extensive research projects, reflecting a strong commitment to academic mentorship and interdisciplinary inquiry. While specific grants are not listed, her high project count suggests active engagement in funded research. She is a key figure in advancing Turkic and Eurasian studies within the Turkish academic landscape. She is affiliated with the Research Institute of Turkology, a leading center for Turkish and Eurasian studies at Istanbul University. The institute supports interdisciplinary research on Turkic peoples, languages, religions, and cultures across Eurasia, and she contributes to its mission through her scholarship and academic leadership.

• Eurasian Studies
• Religious and Cultural Transformation
• History of Science
• +5 more

Anna Shusterman is a Professor in the Psychology Department at Wesleyan University, where she has taught and directed research in the Cognitive Development Laboratories since 2007. She co-founded and serves as co-chair of Wesleyan's College of Education Studies, established in 2020. Her educational background includes: Bachelor's degree in Neuroscience from Brown University Graduate studies and post-doctoral fellowship at Harvard University's Laboratory for Developmental Studies under Elizabeth Spelke and Susan Carey Dr. Shusterman's research centers on conceptual development in children, with a focus on the interplay between language and cognition in spatial and numerical domains. She investigates how language shapes children's understanding of numbers and space, and develops methodological approaches for translating developmental science into practical preschool classroom applications. Her work explores how young children perceive and learn about the world through simple, engaging games. Analysis of her recent publications (2019-2025) reveals consistent emphasis on numerical cognition, language acquisition, and spatial reasoning. Key themes include language's role in math development, early numeracy in diverse populations (particularly deaf and hard of hearing children), and implementation of research-based math activities in preschool settings. Her work demonstrates how language exposure in any modality supports numerical concept development and how grammatical structures influence number word acquisition. Dr. Shusterman has secured significant research funding including NSF CAREER grants and collaborative research awards. She mentors undergraduate researchers in her laboratory and actively bridges academic research with practical educational applications through her work with the College of Education Studies. She directs the Blue Lab within Wesleyan's Cognitive Development Laboratories, located in Judd Hall. The NSF-funded lab conducts studies with children under 12 from central Connecticut preschools, schools, and daycare centers, using fun games to investigate how children think about numbers, space, language, and social concepts.

• Conceptual Development
• Language and Cognition
• Numerical Cognition
• +2 more

Stephen Rowe serves as an Associate Professor in the Accounting Department at the Walton College of Business, University of Arkansas. With extensive industry experience including nine years at KPMG culminating as Audit Manager, he maintains an active CPA license in Washington State while teaching intermediate accounting at graduate and undergraduate levels. His scholarly work focuses on auditing and financial reporting, published in premier journals including The Accounting Review and Review of Accounting Studies . Rowe holds a PhD from the University of Illinois at Urbana-Champaign, a Master's degree from Loyola University Chicago, and a Bachelor's degree from Covenant College. His educational journey bridges rigorous academic training with practical industry experience, informing his teaching approach that emphasizes conceptual understanding through real-world case studies. Research interests span auditing quality, financial reporting practices, and capital market interactions. Recent investigations examine index fund ownership effects, auditor switching dynamics, and media influence on audit markets. His methodological toolkit combines traditional econometric analysis with machine learning techniques, particularly evident in predictive models for auditor behavior. Rowe's work consistently addresses regulatory concerns while exploring market-driven phenomena in accounting ecosystems. Analysis of his publication trajectory reveals increasing focus on market-based audit quality indicators, with growing emphasis on passive investing impacts and regulatory compliance mechanisms. The 2021-2025 period shows heightened attention to technological disruption (machine learning applications) and non-traditional monitoring forces (media scrutiny, index fund activism) within audit markets. Professional recognition includes multiple teaching awards and extensive litigation support consulting engagements. Rowe leverages his expertise as a founding member and CFO of White River Capital Advisors LLC (2020-present), providing expert witness services that connect academic research with real-world accounting disputes. His industry background enables practical translation of complex accounting concepts for diverse audiences. Rowe maintains active engagement with professional practice through ongoing litigation consulting since 2016 and continuous CPA licensure. His balanced commitment to academic rigor and professional relevance exemplifies the practitioner-scholar model, with research directly addressing contemporary challenges in financial reporting and auditing ecosystems.

• Auditing
• Financial Reporting
• Accounting Information Systems
• +3 more

Andrew O. Arnold is a Principal Applied Machine Learning Engineer at Shopify and an Adjunct Professor at New York University's Tandon School of Engineering, Department of Finance and Risk Engineering. He earned his Ph.D. in Machine Learning from Carnegie Mellon University and a BA in Computer Science and Artificial Intelligence from Columbia University. Education Ph.D., Machine Learning, Carnegie Mellon University BA, Computer Science and Artificial Intelligence, Columbia University His research focuses on robust machine learning , developing models that perform well in low signal-to-noise regimes, handle distributional shifts (transfer learning), and extract features from unstructured data. Key applications include time series analysis and natural language processing in financial and other domains. Recent publications highlight work on large language models (LLMs) for code generation, including multitask pretraining, contrastive learning, and quantization techniques for efficiency. He has contributed to understanding model robustness and adapting NLP methods to dynamic market conditions. Arnold teaches NYU FRE GY 7871: News Analytics and Machine Learning , covering NLP and ML techniques for quantitative trading strategies. The course emphasizes practical applications of sentiment analysis, text relevance, and novelty detection in financial contexts. He has led teams at Amazon Web Services (AI Labs), served as Chief Scientist at Oracle Alpha, and worked at Microsoft Research, IBM Research, and other institutions. His technical expertise spans code generation , anomaly detection , and NLP for commerce , with patents in these areas.

• Machine Learning
• Natural Language Processing
• Quantitative Trading
• +5 more

Kristin A Andrews serves as Professor of Philosophy and York Research Chair in Animal Minds at York University in Toronto, Canada. She is a CIFAR Fellow in the Future Flourishing program and will join the CUNY Graduate Center as Professor in Fall 2025. Her interdisciplinary work bridges philosophy, cognitive science, and animal ethics to investigate nonhuman animal capacities. Her educational background includes a PhD in Philosophy from the University of Minnesota and an MA in Philosophy from Western Michigan University. Professor Andrews' research centers on the cognitive, affective, social, and cultural capacities of nonhuman animals. She pioneers frameworks for identifying social norms in animal communities, arguing these predate human language. Her work spans animal consciousness, morality, legal personhood, and conservation implications—challenging anthropocentric views through empirical and theoretical analysis. She actively develops implications for animal welfare policy and multispecies ethics. Recent publications (2023-2025) reveal three dominant trends: (1) Advocating for the 'All Animals Are Conscious' hypothesis to shift consciousness science's null hypothesis; (2) Developing dimensional frameworks for cross-species normativity studies; (3) Addressing methodological biases like the WEIRD problem in comparative cognition. Her interdisciplinary approach integrates philosophy, primatology, and cognitive neuroscience. Key honors include: York Research Chair in Animal Minds CIFAR Fellowship (Future Flourishing program) Royal Society of Canada’s College of New Scholars membership (2015) Visiting Professorships at LSE (2021-2022), Ruhr-Universität Bochum (2022-2025), and Università Degli Studi di Cagliari (2023) Professor Andrews coordinates the Greater Toronto Area Animal Cognition Discussion Group and serves on the Borneo Orangutan Society Canada board. She co-authored the New York Declaration on Animal Consciousness—endorsed by 39 scholars—and engages public discourse through media like TVO interviews. Her grant activity focuses on CIFAR-funded projects examining animal social cognition and norm evolution. She leads collaborative initiatives including the 'week of animal social norms' research with international teams studying chimpanzees, dolphins, and rats. Her upcoming book on social norm evolution and ongoing work with the OCTOPUS Act advocacy group demonstrate active research expansion into policy applications.

• Animal Cognition
• Philosophy of Animal Minds
• Animal Ethics
• +5 more