University of California, Los AngelesUnited States
Alison Louise Bailey is a Professor and Division Head in Human Development & Psychology at UCLA's Graduate School of Education and Information Studies. She specializes in developmental psycholinguistics, focusing on multilingual education, academic language pedagogy, and assessment practices for English learners. Education: Ed.D. and Ed.M. from Harvard University; B.A. (Hons) in Linguistics with a minor in American Literature from The University of Hull, England Her research explores language learning progressions, equity in educational assessment, and the intersection of language with STEM disciplines. She leads two U.S. Department of Education-funded ExcEL Peer Network projects and collaborates on NSF and W.T. Grant Foundation grants. Recent publications emphasize translanguaging, automated language assessment, and bias mitigation in educational technologies. Her work integrates Bayesian modeling for dual-language immersion outcomes and examines racial injustices in assessment systems. Awards: Bobbie and Mark Greenfield Distinguished Faculty Award, Haynes Foundation Faculty Fellow, Harold and Lois Haytin Award, Ann C. Rosenfield Distinguished Community Partnership Prize She contributes to national assessment policy as a NAEP Reading Standing Committee member and NCME Classroom Assessment Task Force Co-Chair, advocating for culturally responsive assessment frameworks.
Sara Hägg is a Senior Lecturer at the Karolinska Institutet , affiliated with the Department of Medical Epidemiology and Biostatistics . She is also a Docent in molecular epidemiology. PhD in Computational Biology (Linköping University, 2009) MSc in Molecular Biology (Stockholm University, 2003) BSc in Computer Science (Stockholm University, 2003) Her research focuses on human biological aging , including measurement of aging markers (telomere length, epigenetic clocks, frailty index), causal pathway analysis, and identification of geroprotectors for age-related diseases. She utilizes longitudinal twin studies (SATSA, GENDER, HARMONY), UK Biobank, and Swedish cohorts with methods like Mendelian randomization and genome-wide analyses . Recent articles demonstrate trends in epidemiological aging research , with emphasis on cardiovascular aging , neurological disease interactions , metabolic profiling , and epigenetic clocks . Her work often involves multivariable modeling and cross-cohort validation . Leadership roles include Director of LifeGene Core Facility (2024-) and Founding Board Member of the Nordic Aging Society (2023-). She serves on expert groups for the Swedish Twin Registry and Strategic Research Area in Epidemiology and Biostatistics .
Dr. Kanwaljeet S. Anand is a dual-appointed Professor of Pediatrics (Pediatric Critical Care) and Anesthesiology, Perioperative & Pain Medicine at Stanford University School of Medicine. As director of the Pain/Stress Neurobiology Lab and Jackson Vaughan Critical Care Research Fund, he serves as Editor-in-Chief of Pediatric Research and maintains active membership in Bio-X, MCHRI, and Wu Tsai Neurosciences Institute. Rhodes Scholar with D.Phil from University of Oxford Harvard postdoctoral fellowship and Boston Children's Hospital residency Founded Harmony Health Clinic - Arkansas' largest charitable medical-dental facility A translational researcher with 30+ years of impact, Dr. Anand established the first scientific framework for infant pain perception and developed novel pain assessment methodologies. Current research focuses on: Hair biomarker analysis for stress and social affiliation (cortisol/oxytocin) Machine learning systems for objective pain detection in non-verbal infants Biopsychosocial interventions for stress reduction in disadvantaged youth Neurotoxicity mechanisms of sedatives in developing brains Global NICU opioid usage patterns through the NeoOpioid Consortium His work has yielded over 260 publications and significant advances in: Pediatric pain management protocols Neonatal stress biomarker development Critical care neurobiology insights Community health initiatives AI-driven clinical decision support systems Scientific Recognition 9th Annual 'In Praise of Medicine' Public Address, Erasmus University (2014) Nightingale Excellence Award (2016) Honorary Doctorate from University of Örebro (2019) NIH SBIB-H82 Study Section Chair (2018) Multiple IASP and American Pain Society awards Swedish Academy of Medicine's Nils Rosén von Rosenstein Award (2009) St. Jude Endowed Chairholder (2010) As mentor to Med Scholar Anjali Gupta and advisor to numerous professional bodies, Dr. Anand maintains active clinical leadership in Pediatric Intensive Care while advancing computational approaches to pain detection through collaborations with Stanford's AI researchers.
Jan Borchers is a full professor of computer science and head of the Media Computing Group, an endowed Chair in the Computer Science Department at RWTH Aachen University. He serves as deputy member of the Faculty Council for Mathematics, Computer Science and Natural Sciences (2024-2026) and previously headed the Computer Science Department's Examination Board from 2015 until February 2025. Borchers established his research group in 2003, pioneering modern HCI academic research and teaching in Germany, and opened Germany's first Fab Lab in 2009. Borchers received his PhD 'summa cum laude' in computer science from Darmstadt University of Technology in 2000. Before joining RWTH Aachen, he held faculty positions at Stanford University and ETH Zurich. His PhD thesis, 'A Pattern Approach to Interaction Design,' became the first book to bring design patterns to HCI. His research focuses on Human-Computer Interaction with particular interest in new user interfaces for soft robotics, textile user interfaces, 3D printing and personal fabrication, augmented reality, wearable and tangible computing, interfaces for software development, deceptive patterns, and interactive guides and exhibits. He is a member of ACM, SIGCHI, SIGCHI Germany, and GI, and introduced the Interactivity format to the CHI conference in 2005. Recent publications reveal a strong emphasis on deceptive patterns/dark patterns in UI design, textile interfaces, and the impact of generative AI on creative teamwork. His work spans from fundamental research in interaction techniques to practical applications in smart homes, accessibility, and children's interfaces, with a consistent focus on usability and user-centered design. IDC 2025 Best Work in Progress: 'If They Have No Choice, They'll Accept!' CHI'25 Student Games Competition Winner: 'The Deceptive Dungeon' RWTH-Wissenschaftsnacht 2024 Best Science Slam: 'Usability: 4 Prinzipien guter User Interfaces' Multiple CHI/UIST Honorable Mentions and Best Paper awards spanning two decades Author of influential books including 'A Pattern Approach to Interaction Design' and 'Arduino In A Nutshell' Borchers has provided extensive consulting, training, and user interface design services to major clients including AirBus, Apple, ARD, Bayer, Children's Museum Boston, Daimler, Handelsblatt, OTIS, Scout24, TEDx, and Deutsche Telekom. He actively organizes the Computer Science Department's weekly Faculty Lunch since 2003 and coordinates the department's public relations and web presence since 2010. He leads the Media Computing Group, which has become a leading German lab in terms of archival publications at CHI, the top international conference in HCI. Since March 2025, he serves as faculty patron for TechLabs Aachen, a student initiative providing practical digital skills training.
Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.
Yael Feldman Maggor is a Postdoctoral Fellow at KTH Royal Institute of Technology, affiliated with the Media Technology & Interaction Design Division and the Digital Futures research center. Her work bridges educational technologies, artificial intelligence, and science education, with a focus on enhancing pedagogy through innovative tools. Research Themes: Generative AI in education, self-regulated learning, learning analytics, chemistry education, and ethical considerations in AI integration. Key Projects: Contributions to the International Journal of Science Education, development of AI-driven evaluation frameworks, and pandemic-era online teaching analysis. Methodologies: Expertise in quantitative and qualitative research, educational data mining, and design of interactive learning platforms. Recent publications emphasize cross-cultural trust in AI, generative AI applications in chemistry education, and explainable AI for teacher professional development. She co-authored studies on nanotechnology courses for educators and self-regulation strategies in online learning environments.
Professor Ida Koivisto from the Faculty of Law at the University of Helsinki specializes in administrative law, constitutional law, and global administrative law. Her research focuses on transparency in digital governance, automated decision-making in public administration, and the intersection of law with digital technology. Key research themes: Digital transparency, legal automation, EU administrative law Active in multidisciplinary projects like DARE (Digital Administration Redesigned for Everyone) and AlgoT (Algorithmic Transparency) Recent publications explore ethical dimensions of AI in governance, legal personhood in digital systems, and paradoxes of transparency. Her work appears in journals like Artificial Intelligence, Humans and the Law and Critical Analysis of Law . International collaborations include academic visits to the University of Toronto, University of Hong Kong, and European University Institute. She contributes to policy through expert statements for Finland's Constitutional Law Committee and other public institutions.
Dr. Sajedul Talukder is an Assistant Professor in the Department of Computer Science at The University of Texas at El Paso (UTEP), directing the SUPREME Lab. He holds a Ph.D. in Computer Science from Florida International University (2019) and has held prior faculty positions at Southern Illinois University (2021-2024) and Pennsylvania Western University (2019-2021). Education: Ph.D. in Computer Science, Florida International University (2019) M.S. in Computer Science, Florida International University (2018) B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2014) Research Interests: Focuses on cybersecurity, privacy-enhanced machine learning, and AI-driven solutions for social good. Key areas include: Security and privacy in online systems Abuse detection in social networks Quantum security and distributed systems Federated learning for healthcare and industrial IoT His work emphasizes practical applications like AI for nuclear plant cybersecurity and mitigating sockpuppet attacks. Recent Article Trends: Recent publications highlight advancements in federated learning frameworks (e.g., SAFARI, FLASH), context-aware emotion detection (CAMERA), and AI-driven nuclear facility security (ContextGPT, AML-TIN). These contributions address privacy, scalability, and real-time threat monitoring. Awards & Grants: $500K NRC grant (2024) for AI-driven nuclear plant cybersecurity NSF CISE CRII Award ($157K) for sockpuppet defense IMEC/NIST grant ($99K) for industrial IoT security Best Paper Awards (ICEEICT 2014, ACM SAC 2022) Advising & Labs: Mentored over 40 students (K-12 to Ph.D.), including 2 recent M.S. graduates. Leads SUPREME Lab and affiliated with UTEP AI Institute and NSF IDEAS Center. Active in program committees for ASONAM, ICWSM, and CHI.
Nicolas Petit is a Full-time Professor and Head of the Department of Law at the European University Institute (EUI). His expertise lies in EU and US competition law, law and economics, and the intersection of law and technological change. He co-founded the Dynamic Competition Initiative (DCI) with UC Berkeley in 2022. Petit holds a PhD from the University of Liège, Belgium, where he was previously a Full Professor. He has held visiting roles at Harvard Law School, Stanford University, and the College of Europe. His research focuses on dynamic competition, digital markets, and the 'more economic approach' to antitrust. Key projects include analyzing platform regulation, AI governance, and the EU Digital Markets Act (DMA). Petit has advised the European Commission’s High-Level Expert Group on Artificial Intelligence and contributed to policy submissions for India, Brazil, and the EU. Publications span top journals like the Antitrust Law Journal and European Law Review , with an SSRN ranking of 23 among top legal scholars. He regularly engages in public discourse through platforms like Bluesky, addressing topics such as antitrust limits, AI regulation, and digital market dynamics. Current roles include Project Director at the EUI and leadership in initiatives like the Competition Law and Policy Workshop. His work integrates doctrinal, economic, and empirical methods to address modern regulatory challenges.
Dr. Koustuv Saha is an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC), leading the OnCARE lab. He holds a PhD from Georgia Tech and a B.Tech from IIT Kharagpur. His research focuses on computational social science, social computing, and ethical AI applications in mental health and wellbeing. His work bridges computer science with psychology, sociology, and public policy to address societal challenges. Education: PhD in Computer Science (Georgia Tech, 2021), B.Tech in CSE (IIT Kharagpur, 2012). Previous roles include Senior Researcher at Microsoft Research Montreal (FATE group) and industry research experience in Silicon Valley. Research interests include wellbeing sensing technologies, algorithmic fairness, and large language models’ societal impacts. Recent work examines caregiver mental health, deceptive wellness apps, and AI ethics in content moderation. His studies combine causal inference, NLP, and multimodal data analysis. Publications span top venues like CHI, CSCW, ICWSM, and JMIR. Notable awards include Georgia Tech’s Outstanding Dissertation Award (2022) and Snap Research Fellowship (2020). He advises on AI governance and collaborates with policymakers, clinicians, and industry. OnCARE lab explores human-centered AI for societal good, with projects on mental health support systems, ethical tech design, and algorithmic transparency in health contexts. Current focus includes caregiver AI tools, LLM-based empathetic systems, and workplace wellbeing interventions.
Joshua Fairfield is the William Donald Bain Family Professor of Law and Director of Artificial Intelligence Legal Innovation Strategy at Washington and Lee University's School of Law. His expertise spans digital property, data privacy, cryptocurrencies, and virtual worlds regulation. He holds a BA from Swarthmore College and a JD from the University of Chicago. Professor Fairfield's research focuses on the intersection of law and technology, particularly in digital ownership, privacy rights, and emerging technologies like IoT and blockchain. He has authored influential books, including Owned: Property, Privacy and the New Digital Serfdom (2017) and Runaway Technology: Can Law Keep Up? (2021). His work critiques corporate control over digital devices and advocates for consumer rights in the digital age. Education: BA, Swarthmore College; JD, University of Chicago Key Achievements: Fulbright Grant (2012–2013), American Law Institute Member (2013) Consulting: Advises U.S. agencies like the White House Office of Technology and Homeland Security Privacy Office His recent articles address topics such as environmental AI ethics, NFT regulation, and smart contract governance. Fairfield emphasizes the need for updated legal frameworks to protect digital rights and ensure democratic control over technology. He directs the AI Legal Innovation Strategy initiative, focusing on integrating AI into legal systems while addressing ethical and regulatory challenges.
Steven Meikle is a Professor of Medical Imaging Physics and Head of the Imaging Physics Laboratory at the Brain and Mind Centre, University of Sydney. He also serves as Deputy Director (Preclinical) of Sydney Imaging and Deputy Director of the National Imaging Facility's Sydney node. His expertise spans advanced imaging technologies, with a focus on PET/SPECT instrumentation and molecular imaging. He holds a B.App.Sc.(Hons) from the University of Technology Sydney and a PhD from the University of New South Wales. Research focuses include developing novel PET systems like Open-field PET (for freely moving rodents) and Total Body PET, which enhance imaging sensitivity and enable real-time behavioral studies alongside brain function analysis. Collaborations include Tsinghua University (China) and UC Davis (USA). He leads projects on motion correction, quantitative imaging, and AI-driven analysis. Key achievements include over 180 peer-reviewed publications, editorial roles in Physics in Medicine and Biology , and leadership in professional societies. Awards include IEEE Senior Membership and Australian Institute of Physics Fellowship. Current student projects explore Total Body PET applications, motion correction, and radiopharmaceutical evaluation. Teaching roles include medical physics courses in diagnostic radiography and medical physics programs. He advises on imaging ethics, facility implementation, and translational research bridging basic science and clinical applications.
Dr. Luke Robinson is an Associate Professor in Film Studies at the University of Sussex's School of Media, Arts and Humanities, where he has been since 2014. Previously, he taught at the University of Nottingham's Department of Culture, Film and Media. He holds a BA from the University of Cambridge, an MA and PhD from SOAS (University of London), and a certificate from the Hopkins-Nanjing Center. His research focuses on Chinese independent cinema, film festivals as sites of cultural translation, and the global circulation of documentary media. Robinson is co-editor of influential volumes like Chinese Independent Cinema and Chinese Film Festivals , and his work bridges cultural studies, visual anthropology, and media policy analysis. He maintains the Chinese Independent Film Archive and has published widely on topics ranging from Taiwanese subimperialism to the cultural politics of Sundance and CNEX. His teaching spans global cinema studies, film festival curating, and East Asian media aesthetics. Education: BA, History, University of Cambridge MA, Chinese Studies, School of Oriental and African Studies (SOAS), London PhD, Film and Media Studies, SOAS Certificate in Chinese Studies, The Hopkins-Nanjing Center Research Themes: Chinese independent film ecosystems, transnational film festival circuits, documentary as public culture, and the intersection of politics with audiovisual media. Recent work examines humanitarian intervention narratives in documentaries and the evolving role of non-state cultural agents in soft power dynamics.
Ashton Anderson is an Associate Professor in the Department of Computer Science at the University of Toronto's Faculty of Arts & Science, where he leads the Computational Social Science Lab. His work intersects AI, data science, and societal impact, examining topics from algorithmic fairness to online behavior. Research investigates human-AI collaboration , social media dynamics , and computational ethics . Recent projects evaluate LLMs' impact on creativity and social media's agenda-setting power. His group develops methods to audit algorithmic systems for bias and alignment. Honored with a Google PhD Fellowship and NSERC Scholarship, he mentors graduate students in social computing and human-centered AI. His teaching covers social network analysis and computational social science methodologies.
Carissa Véliz is an Associate Professor of Philosophy and Tutorial Fellow in Philosophy at Hertford College, University of Oxford. She holds memberships at the Uehiro Centre for Practical Ethics and the Wellcome Centre for Ethics and Humanities. Her research focuses on AI Ethics, Privacy, Practical Ethics, and Moral Philosophy, with notable contributions to digital ethics and medical ethics. Education: DPhil in Philosophy, University of Oxford Research Interests: Explores ethical challenges posed by AI, digital technologies, and privacy. Her work bridges theoretical philosophy with applied ethics, addressing issues like algorithmic accountability, moral agency in technology, and post-pandemic privacy norms. She advocates for data minimization in healthcare and critiques black-box algorithms in clinical settings. Key Publications: Privacy Is Power (Bantam Press, 2020) Forthcoming The Oxford Handbook of Digital Ethics Awards: Economist Book of the Year 2020 for Privacy Is Power Labs/Teams: Affiliated with the Uehiro Centre for Practical Ethics and Wellcome Centre for Ethics and Humanities, collaborating on interdisciplinary ethics projects.
