Junier Oliva is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill and Lead Faculty of the Master of Applied Data Science program. His research focuses on machine learning, artificial intelligence, and nonparametric statistics, particularly in high-dimensional density estimation, sequential modeling, and learning from complex/structured data. He holds a B.S., M.S., and Ph.D. in Computer Science from Carnegie Mellon University, with prior industry experience at Yahoo! and Uber ATG. Research Interests: Machine learning, artificial intelligence, nonparametric statistics, deep learning, statistical data mining, signal processing, kernel methods, and scalability. His work bridges machine and human learning via collective approaches, emphasizing simple yet flexible models for massive datasets. Awards/Grants: $592K AIM-AHEAD/NIH Grant for Human+AI Collaboration $594K NSF Grant for Scientific Discovery $500K NSF Grant for 'Machine Detectives' Project ACM BCB Best Paper Award (2022) for transparent single-cell classification work Labs/Teams: Director of the LUPA Lab, which develops machine learning techniques for holistic data understanding across domains like healthcare, earth science, and computer vision.
John Kelly is a Lecturer in the Sociology of Sport at the Moray House School of Education and Sport, University of Edinburgh. He is part of the Institute for Sport, Physical Education & Health Sciences (ISPEHS) and a joint convenor of the Edinburgh Critical Studies in Sport (ECSS) research group. His research focuses on intersections between sport, society, and power dynamics, including topics like militarism, sectarianism, ethnicity, and gender. He has advised governmental bodies in Europe and media organizations globally, and his work spans international journals and book publications. John holds a PhD in Sociology of Sport from Loughborough University (2003–2007), following MA (University of Brighton) and BA (University of Wales Institute, Cardiff) degrees. His teaching includes undergraduate and postgraduate courses on sport sociology, media, and research methods. He actively supervises PhD students exploring topics like sport and social integration, national identity, and body image in China. His research interests emphasize sociological theory, civil-military relations, and the role of sport in shaping identities. Current projects include studies on power in sport research, commemorations in sport, and Irish diaspora communities. John is also a joint editor of the Asia Pacific Journal of Sport and Social Science , reflecting his commitment to advancing critical academic discourse in sport studies.
Professor Andrew Ireland is a faculty member in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Computer Science. His research focuses on formal methods, autonomous systems, and the intersection of AI with legal frameworks. He has authored over 39 publications since 1996, with recent work emphasizing safety-critical systems, hazard analysis, and legal implications of autonomous vehicle design. Recent collaborations span international teams addressing transnational legal challenges in AI and autonomous systems. His contributions include developing formal modeling techniques for accident anticipation and ontology-based legal support systems. Ireland has served as an editor for academic journals and conferences, such as the AVoCS 2015 special issue. His work bridges technical innovation with regulatory compliance, ensuring safe implementation of emerging technologies.
Zelalem Negeri is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, affiliated with the Faculty of Mathematics. His work focuses on statistical methods for diagnostic test accuracy, depression screening tools, and meta-analytic techniques. He collaborates with groups like DEPRESSD (Depression Screening Data) to improve mental health assessment methodologies. Research interests include robust meta-analysis models for accommodating outliers, optimal cutoff determination for screening tools (e.g., PHQ-9, EPDS), and evaluating diagnostic accuracy across diverse populations. His studies often use individual participant data (IPD) to enhance precision in estimating depression prevalence and screening tool performance. Recent work emphasizes validating shortened screening tools (e.g., EPDS-Dep-5) and comparing depression assessment methods across modes (e.g., self-administered vs. clinician-administered). He also investigates pandemic-related mental health impacts in populations with systemic sclerosis and explores statistical methods to mitigate biases in data-driven cutoff selection. No scientific awards are explicitly mentioned. His contributions span collaborations with interdisciplinary teams, including the Scleroderma Patient-centered Intervention Network (SPIN), and involve developing robust statistical frameworks to address variability in diagnostic studies.
John Y. Campbell is the Morton L. and Carole S. Olshan Professor of Economics at Harvard University, affiliated with the Department of Economics within the Faculty of Arts and Sciences. He is on leave during Fall 2024 and Spring 2025. His research focuses on financial economics and macroeconomics, including asset pricing, household finance, and portfolio choice. Campbell has authored influential books such as Fixed: Why Personal Finance is Broken (2025) and Financial Decisions and Markets (2018). He served as President of the American Finance Association (2005), delivered the American Economic Association’s Ely Lecture (2016), and holds honorary doctorates from multiple institutions. His roles include Research Associate (former Director) at NBER’s Program in Asset Pricing, and board member of Arrowstreet Capital, a quantitative asset management firm. Education: Honorary doctorates from BI Norwegian Business School, Maastricht University, University of Paris Dauphine, and Copenhagen Business School. Professional affiliations include Fellowships with the Econometric Society, American Academy of Arts and Sciences, British Academy, and honorary fellowships at Oxford’s Corpus Christi College. Research interests emphasize asset pricing dynamics, macroeconomic influences on financial markets, and household financial decision-making. His work integrates empirical methods to address policy-relevant questions in consumer finance and institutional investing. Recent trends in his publications focus on systemic risk, mortgage market design, and sustainable long-term investment strategies. Key contributions include analyzing fiscal policy impacts, equity valuation frameworks, and behavioral biases in household finance. Scientific awards highlight his academic leadership: multiple honorary degrees, prestigious fellowships, and recognition in global economic institutions. His advisory roles extend to policy-making via the Squam Lake Report (2010) and co-founding Arrowstreet Capital, applying academic insights to practical asset management challenges. Grants and advising: Campbell’s research has been supported by NBER and institutional partnerships. He advises on macroeconomic stability, financial regulation, and university endowment management strategies. His work often bridges theory and practice, influencing both academic discourse and real-world financial systems.
Dr Gabriel Moore is a Senior Lecturer in Health Policy at the Sydney School of Public Health , affiliated with the Leeder Centre for Health Policy, Economics and Data. She also serves as Director of the Master of Health Policy and Planning and a Knowledge Broker at the Sax Institute . Research Interests: Health policy analysis Knowledge translation and evidence utilisation Research impact assessment Rapid review methodology Teaching & Supervision: She teaches units such as HPOL5008: Evidence into Policy and Practice , HPOL5009: Health Policy Project , and HPOL5003: Health Policy Analysis , emphasizing transformative learning and co-construction of knowledge. She supervises doctoral students and capstone projects. Publications Trends: Her work focuses on rapid review techniques , knowledge translation strategies , and research impact mechanisms , particularly in health policy contexts. Methodological contributions include mixed-methods and qualitative approaches. Labs & Teams: She is actively involved with the Leeder Centre for Health Policy, Economics and Data and the Sax Institute, where she bridges research and policy through knowledge brokering activities.
Gauthier Gidel is an Associate Professor at the Department of Computer Science and Operations Research (DIRO) within the Faculty of Arts and Science at Université de Montréal, where he also holds the prestigious Canada CIFAR AI Chair position. He is a core faculty member of Mila, Quebec's AI research institute, and maintains active research collaborations with leading institutions. His academic journey includes a PhD in Computer Science under the supervision of Simon Lacoste-Julien, with internships at Sierra, ElementAI, and DeepMind during his doctoral studies. Dr. Gidel's research spans multiple critical areas in machine learning, with particular emphasis on generative modeling , adversarial machine learning , and variational inequalities for machine learning. His work explores the intersection of optimization theory and practical AI systems, focusing on challenges like LLM safety alignment, multi-agent cooperation, and robustness against adversarial attacks. He is particularly known for his contributions to understanding the theoretical foundations of generative adversarial networks through variational inequality frameworks. His recent publications reveal a strong trend toward addressing critical challenges in large language model safety and alignment, with numerous 2024-2025 papers focusing on adversarial robustness, safety evaluation methodologies, and alignment techniques for LLMs. Simultaneously, his foundational work continues in optimization theory, particularly in variational inequalities and performative prediction, demonstrating his dual focus on practical AI safety concerns and theoretical machine learning foundations. Canada CIFAR AI Chair Core member of Mila Organizer of popular NeurIPS workshops on smooth games Co-founder of the ICLR blog post track Dr. Gidel actively supervises an extensive research group with approximately 10 current graduate students and numerous alumni who have secured positions at leading institutions including Inria Lyon, Oxford, and industry research labs. His research is supported by multiple substantial grants from CRSNG, MITACS, and IVADO, including the prestigious CRSNG Discovery Grant program and MITACS Acceleration Québec projects focused on fraud detection in music streaming and conditional generation. His laboratory maintains strong connections with both academic and industry partners, fostering a collaborative environment focused on advancing AI safety and theoretical understanding.
Andrew Bennett is Professor and Associate Chair & Director of Graduate Studies in Georgetown University's Department of Government, with secondary appointment in the School of Foreign Service. His scholarship advances qualitative methodology and foreign policy analysis. Education: PhD, Public Policy, Harvard University Research develops case study methods, causal inference techniques, and foreign policy process models. He co-authored the Giovanni Sartori Prize-winning book 'Case Studies and Theory Development' and founded the Consortium on Qualitative Research Methods. Publications focus on Bayesian process tracing, mechanism-based theories, and foreign policy decision-making, particularly regarding military interventionism and alliance dynamics.
Dr Valdas Noreika is a Senior Lecturer in Psychology at the School of Biological and Behavioural Sciences, Queen Mary University of London. He serves as Head of The Centre for Brain and Behaviour and leads the Sleep and Cognition Lab. His work bridges cognitive neuroscience, psychology, and clinical applications, with a focus on understanding consciousness and its disorders. Dr Noreika's educational background includes: BA in Philosophy from Vilnius University, Lithuania MSc in Neurobiology from Vilnius University, Lithuania PhD in Psychology from the University of Turku, Finland, focusing on altered states of consciousness and temporal distortions Dr Noreika's research explores the cognitive and neural mechanisms underlying sleep, dreaming, and consciousness. Using techniques including electroencephalography (EEG), transcranial magnetic stimulation (TMS), and psychophysics, his work investigates both basic mechanisms of consciousness and their applications to neurodevelopmental and mental health conditions. His research spans multiple domains including time processing, inter-brain synchronization across species, and environmental decision-making. A key aspect of his work involves translational research focusing on sleep, subjective experiences, and well-being in conditions such as learning disabilities, ADHD, autism, and depression. Analysis of Dr Noreika's recent publications reveals a strong focus on consciousness studies, neural mechanisms of sleep and dreaming, and applications to neurodevelopmental conditions. His work frequently employs EEG and other neuroimaging techniques to study brain activity during various states of consciousness. Recent trends show increasing emphasis on inter-brain synchronization, particularly in infant-parent interactions and cross-species communication, as well as growing interest in environmental psychology and climate change-related decision making. Dr Noreika has secured significant research funding including: The neural basis of inter-species communication - £155,098 from the Biotechnology and Biological Sciences Research Council (2024-2026) Sleep and circadian interactions with sensory sensitivity in adults with intellectual disabilities - £103,229 from the Baily Thomas Charitable Fund (2023-2025) As a supervisor, Dr Noreika advises multiple PhD students working on diverse topics including Alzheimer's disease diagnosis using information theory, emotion recognition, thermal sensation in Parkinson's disease, cultural differences in cognitive processes, and time processing. His Sleep and Cognition Lab serves as a hub for interdisciplinary research bridging neuroscience, psychology, and clinical applications. Dr Noreika leads the Sleep and Cognition Lab at Queen Mary University of London, which focuses on investigating the neural mechanisms of sleep, dreaming, and consciousness. The lab brings together researchers from diverse backgrounds to study both fundamental aspects of consciousness and their applications to clinical populations. Current projects include investigations of sleep and sensory sensitivity in adults with learning disabilities and human-dog interaction studies.
Prof. Annette Jackle is a Professor of Survey Methodology and Deputy Director of Understanding Society - the UK Household Longitudinal Study at the University of Essex. Her research focuses on innovative data collection methods, including mobile device integration, sensor data, and data linkage consent processes. She leads methodological experiments in longitudinal studies to improve participation rates and data quality. Key projects include the Understanding Society Innovation Panel, which explores event-triggered data collection, mobile app-based expenditure measurement, and consent mechanisms for administrative data linkage. Her work addresses barriers to participation, mode effects, and bias reduction in surveys. Recent studies analyze digital trace data during the pandemic, mobile app efficacy in probability/nonprobability panels, and the impact of question placement on consent decisions. Her research informs best practices for survey design in rapidly evolving technological landscapes. Jackle collaborates with institutions like ISER and the ESRC Research Centre on Micro-Social Change. She advises on survey methodology for large-scale studies and contributes to policy-relevant research through Understanding Society's extensive dataset.
Samir Mamadehussene is an Assistant Professor of Marketing at the Naveen Jindal School of Management (JSOM), University of Texas at Dallas. His research focuses on pricing strategies, promotional tactics, game theory applications in marketing, and consumer decision-making processes. He holds a PhD from Northwestern University (2016), an MSc from Catolica-Lisbon (2010), and a BA from Catolica-Lisbon (2008). Research Interests Dr. Mamadehussene explores how firms strategically use pricing and promotional tools to influence consumer behavior. He analyzes competitive dynamics in markets using game theory frameworks, with a focus on subscription models, rebate mechanisms, and price-matching guarantees. His work bridges marketing strategy and economic theory, addressing questions such as: - How do information transparency policies (e.g., Sunshine Act) reshape technology markets? - What are the unintended consequences of entrepreneurial activity on incumbent firms? - How do consumers process fragmented information across price comparison platforms? Recent Publications Trends His 2025 Organization Science paper examines entrepreneurship's indirect effects on wage structures, while 2024's Marketing Science work analyzes multiproduct rebate strategies. Recent contributions also explore methodological rigor in economic experiments ( Management Science , 2023) and competitive dynamics under limited consumer awareness ( Journal of Industrial Economics , 2023). His work often combines theoretical models with empirical validation, yielding policy-relevant insights (e.g., 2021 Paul Geroski Prize-winning paper). Awards: EARIE Young Economists' Essay Award (2016), Paul Geroski Prize (2021) Grants/Advising: No explicit grants noted; no listed advisees He collaborates widely with scholars in marketing, economics, and strategy, contributing to top-tier journals. His current research portfolio reflects a strong focus on subscription-based industries and regulatory policy impacts.
Alex Wilson is an Associate Professor at Queen's Business School, Queen's University Belfast. He holds leadership roles including Director of Internationalisation and Direction of Reputation and Rankings at Queen's Business School, and previously held directorships at Loughborough University's School of Business and Economics. Research Interests: Open Strategy, Digital Strategizing, Strategy as Practice, Future of Management Education. Expertise in qualitative methods, IT/social media's role in strategic work, and business school innovation. His research explores how technology mediates strategic processes, organizational legitimacy, and the evolving purpose of business schools. He has advised on strategic initiatives for institutions globally and contributed to defining digital strategizing frameworks. Key Achievements: Recipient of CABS Research Fellowships (2017, 2018) Dean’s Award for Early Career Teaching Excellence (2015) Led studies on Singapore Management University's strategic evolution and UK business school competitiveness. Advises PhD students focusing on topics like corporate sustainability tensions, services offshoring, and Christian values in business. Active in hosting international delegations and delivering invited talks on open strategy and digital transformation.
Julian Berger is a postdoctoral researcher at the Max Planck Institute for Human Development in the Center for Adaptive Rationality , where he explores how to enhance decision-making through hybrid human-AI systems. He is also a fellow of the Joachim Herz Foundation and has received funding from the Foundation of German Business and the Danish Data Science Academy. Education: M.A. Psychology in Business and Economics, Universidade Catolica Portuguesa (2021) B.A. Politics, Administration and International Relations, Zeppelin Universität (2018) His research spans human-AI collaboration , collective intelligence , and interpretable machine learning . A recurring theme in his work is developing methods to combine human expertise with AI capabilities for accuracy in domains like medical diagnostics , credit scoring , and football analytics . He has authored publications in high-impact venues such as PNAS , Nature Human Behavior , and Science and Medicine in Football . Scientific awards and funding include: Fellowship for interdisciplinary economics, Joachim Herz Foundation (2024) PhD funding from the Foundation of German Business (Stiftung der deutschen Wirtschaft) Research grant from the Danish Data Science Academy His recent article trends emphasize ensembling techniques that leverage complementary human and AI errors, algorithmic fairness, and practical heuristics like Hybrid Confirmation Trees. These works demonstrate significant improvements in diagnostic accuracy and decision cost-efficiency. Beyond academia, Berger works as a consultant and ML engineer with Simply Rational , focusing on interpretable models for financial and sports analytics. His work bridges theoretical research with real-world applications, prioritizing fairness, transparency, and human accountability in AI systems.
Ulrich Berger is a Professor of Economics at the Department of Economics of WU Vienna University of Economics and Business (WU Vienna). He serves as Editor-in-Chief of the journal Games and is actively involved in promoting science through the Vienna Skeptics Society. His research focuses on game theory, including non-cooperative, evolutionary, behavioral, and experimental variants. He has been recognized with multiple awards, including the WU Best Paper Award and an Outstanding Reviewer Award. His work explores dynamics of cooperation, reputation systems, and strategic behavior in economic contexts. Key research areas include evolutionary stability in reputation games, indirect reciprocity, and cognitive hierarchies in strategic interactions. His publications span peer-reviewed journals like PLoS ONE and Scientific Reports , as well as popular science articles in outlets like derStandard.at . Berger has led research projects on topics such as cognitive hierarchies in minimizer games and has contributed to policy discussions on access pricing in telecommunications. His academic contributions reflect a blend of theoretical rigor and practical engagement, with recent work emphasizing evolutionary mechanisms of deterrence and experimental validation of equilibrium concepts.
Børge Rokseth is an Associate Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His work focuses on maritime systems, autonomous vessel control, and safety verification. He actively supervises Master's students and contributes to research on risk-informed control systems, hybrid power systems, and systems-theoretic process analysis (STPA). Research Interests: Rokseth's research spans autonomous ship systems, dynamic risk assessment, and safety verification. He explores risk-based decision-making for maritime autonomy, hazard identification in hybrid propulsion systems, and control function allocation in dynamic positioning. His work integrates systems theory, machine learning, and regulatory compliance (e.g., COLREGS) to enhance safety and environmental performance in marine operations. Publications: His recent work includes probabilistic trajectory prediction frameworks for autonomous ships, STPA-based safety analyses, and studies on decarbonization barriers in the maritime industry. These publications emphasize risk modeling, systems-theoretic approaches, and simulation-based verification. Teaching: Rokseth teaches courses such as TTK4130 - Modelling and Simulation, contributing to the education of future engineers and researchers in cybernetics and maritime systems.
