Terrence Chapman is a Professor of Government at the University of Texas at Austin, affiliated with the Robert S. Strauss Center for International Security and Law, Center for European Studies, and Clements Center on History Strategy, and Statecraft. His research focuses on international organizations, conflict resolution, and political economy frameworks. Key research areas include: International institutional legitimacy Global regulatory regimes Public opinion in international affairs Conflict management mechanisms Formal modeling of diplomatic interactions Recent scholarly trends reveal expertise in climate governance negotiations, digital surveillance politics, and regulatory effectiveness. His work spans theoretical modeling and empirical analysis of international collaboration dynamics. Scientific recognition includes: 2011-2012 APSA Conflict Processes Section Book Award Teaching portfolio covers: Science Fiction and Politics International Organization and Law Research Methods in International Politics Previously served as associate/senior editor for International Studies Quarterly .
Sarah E. Light is the Mitchell J. Blutt and Margo Krody Blutt Presidential Professor and Professor of Legal Studies & Business Ethics at the University of Pennsylvania's Wharton School. She serves as Faculty Co-Director of Wharton’s Climate Center and holds primary appointments in the Legal Studies & Business Ethics department. Her educational background includes a JD from Yale Law School (2000), an M. Phil in Politics from Oxford University as a Rhodes Scholar (1997), and an AB in Social Studies, Magna Cum Laude, from Harvard University (1995). Professor Light's research examines the intersection of environmental law, corporate sustainability, and business innovation. Her work addresses how corporate law structures function as environmental law, private environmental governance through business actions (including carbon fees and financial sector decisions), and First Amendment implications of regulating greenwashing. She employs interdisciplinary approaches connecting legal doctrine with business strategy and environmental science. Her publications reveal strong trends in private environmental governance mechanisms, climate risk management in financial systems, and the evolving regulatory landscape for corporate sustainability claims. Recent work focuses on greenwashing regulation, banking sector climate action, and non-extractive corporate relationships with public lands. Penn Fellows Program (2023-2024) Multiple Wharton Teaching Excellence Awards (2018-2021) ARCS Emerging Sustainability Scholar Award (2018) Haub Environmental Law Distinguished Junior Scholar (2015) Top 20 Article in Environmental Law & Policy Annual Review (2020) Professor Light has advised numerous student groups and projects, particularly through experiential courses like 'Wharton in the Wild' where she leads field-based environmental management education. Her grant activities include leadership roles at the Wharton Climate Center and Penn Program on Regulation, with research supported by interdisciplinary initiatives focused on climate governance and business innovation. She maintains active pro bono mediation work with federal courts and community organizations. As Faculty Co-Director of the Wharton Climate Center, she leads interdisciplinary research initiatives connecting business strategy with climate solutions, fostering collaboration between academia, industry, and policymakers through conferences, publications, and executive education programs.
Ricardo Soares de Oliveira is Full Professor of Political Science at CERI Sciences Po and Senior Research Fellow at the Department of Politics and International Relations, University of Oxford . He also co-directs the Oxford Martin Programme on African Governance and serves as joint editor of Oxford Studies in African Politics and International Relations by Oxford University Press. He is a fellow of the Global Public Policy Institute in Berlin. Education: While specific degrees are not listed, his academic trajectory includes affiliations with the University of Cambridge, Yale University, and the Woodrow Wilson Center, indicating a robust scholarly background. Research Interests: His work centers on the international political economy of African states , with a strong focus on extractive industries , offshore finance , kleptocracy , African-Asian relations , and post-conflict reconstruction . His fieldwork spans multiple African countries and examines how global financial systems and governance structures interact with African political systems. Publications: His scholarly output includes major monographs such as Magnificent and Beggar Land: Angola Since the Civil War (2015) and Oil and Politics in the Gulf of Guinea (2007), as well as edited volumes like China Returns to Africa (2008). His current book project, Africa Offshore , explores the global offshore economy's impact on African politics. Awards and Fellowships: British Academy Senior Research Fellowship (2023) Leverhulme Trust Fellowship (2011) Grants and Collaborations: He has received funding from leading institutions including the ESRC , Rockefeller Foundation , Volkswagen Foundation , and DFID/FCDO . He has consulted for organizations such as the World Bank , European Commission , UNCTAD , and Oxfam . Labs and Teams: He co-directs the Oxford Martin Programme on African Governance at the University of Oxford, a major interdisciplinary initiative examining governance challenges across the African continent.
Lars Eriksson is a researcher at the Department of Chemistry, Stockholm University, affiliated with the Faculty of Science. He is part of Gunnar Svensson's group, which focuses on solid-state inorganic chemistry, including the synthesis of energy-related compounds and their crystal structure analysis. Research interests span inorganic chemistry, solid-state chemistry, crystallography, energy applications, organic synthesis, catalysis, and chemical education. His work bridges experimental and computational approaches, with recent publications exploring molecular design for energy storage, asymmetric synthesis, triplet-to-singlet energy transfer, and pedagogical strategies in chemistry education. Trends in his research highlight applications in materials science, environmental chemistry, and educational methodologies. While no formal scientific awards are mentioned in the provided texts, his contributions include collaborative studies on catalysis, molecular structure, and student learning processes. He has no listed grants or students, but his publications emphasize tutor-student interactions and practical epistemology analysis. The research group he belongs to investigates fundamental properties of synthesized compounds, often with energy-related applications, and maintains strong ties to the broader chemistry community through peer-reviewed publications and educational studies.
Ian Horrocks is a Professor of Computer Science at the University of Oxford and a Fellow of Oriel College. His research focuses on knowledge representation, description logics, automated reasoning, and semantic web technologies. He has held academic positions at the University of Manchester (2003–2007) and served as Chief Scientist at Cerebra Inc. (2001–2006). Horrocks earned his BSc (1st class), MSc, and PhD in Computer Science from the University of Manchester (1981–1997). His work includes foundational contributions to ontology languages (e.g., OWL) and reasoning systems such as HermiT and ELK. He has supervised over twenty doctoral students and postdoctoral researchers. His honors include Fellowships from the Royal Society (2011), ECCAI (2009), and the British Computer Society (2005). He serves as Editor-in-Chief of the Transactions on Graph Data and Knowledge and leads initiatives in semantic web standards and knowledge graph applications. Key Roles: Editor-in-Chief (Journal of Web Semantics), Co-Chair (W3C OWL Working Group) Grants: EPSRC Senior Research Fellowship (2005), numerous international collaborations Labs: Oxford Semantic Technologies, involvement in projects like RDFox and PAGOdA
Stephen Meisenbacher is a Research Associate at the Technical University of Munich (TUM) , affiliated with the School of Computation, Information and Technology and the Department of Computer Science, I19 . He has been part of the Software Engineering for Business Information Systems (SEBIS) chair since March 2022. His research focuses on Privacy-Preserving Natural Language Processing (NLP) , Differential Privacy , and Privacy-Enhancing Technologies (PETs) , with a particular interest in their integration into software development and business applications. His work also explores Hybrid, Expert-Driven Classification Systems and Usable Privacy solutions. Stephen’s recent publications address trends in AI Privacy Risks , Text Rewriting with DP , Legal AI Use Cases , and Data Protection Compliance . He has contributed to GDPR-related research and PETs adoption in small enterprises. His teaching includes Natural Language Processing seminars and Software Engineering lecture courses for Master’s and Bachelor’s students at TUM. He also organizes Entrepreneurship for Small Software-Oriented Enterprises seminars. Stephen holds a Master’s in Informatics from TUM (DAAD Graduate Scholarship) and a Bachelor’s in Computer Science from the University of Notre Dame, with additional studies in German Language and Literature. Contact: stephen.meisenbacher@tum.de | LinkedIn
Rex Ying is an Assistant Professor in the Department of Computer Science at Yale University's School of Engineering & Applied Science. He leads research in graph neural networks, geometric representation learning, and explainable AI, with applications spanning physical simulations, biology, knowledge graphs, and recommender systems. His lab actively recruits PhD students interested in geometric deep learning, graph neural networks, and trustworthy AI. Dr. Ying received his PhD in Computer Science from Stanford University under Jure Leskovec, with a thesis titled "Towards Expressive and Scalable Deep Representation Learning for Graphs." Prior to that, he graduated from Duke University in 2016 with highest distinction, majoring in Computer Science and Mathematics. His research focuses on three interconnected areas: advancing graph neural network architectures for improved expressiveness, scalability, and interpretability; innovating in geometric representation learning for data with diverse characteristics; and developing real-world applications across scientific domains. He has pioneered influential algorithms including GraphSAGE, PinSAGE, and GNNExplainer, and developed the first billion-scale graph embedding services at Pinterest as well as graph-based anomaly detection algorithms at Amazon. His recent publication trends show a strong focus on hyperbolic geometry for foundation models, non-Euclidean representation learning, and multimodal applications in computational biology. The research demonstrates increasing integration of geometric deep learning with large language models and foundation model architectures. KDD 2022 Dissertation Award 2019 Baidu Scholarship in Artificial Intelligence Dr. Ying actively serves the research community as a committee member for major conferences including AAAI, ICML, NeurIPS, ICLR, KDD, and WebConf for over seven years, and as area chair for LoG 2022. He co-leads the open-source PyTorch Geometric project and has organized numerous workshops on graph learning. His industry collaborations include Pinterest, Amazon, Facebook AI Research, DeepMind, Siemens, SLAC National Accelerator Laboratory, and Saudi Aramco. He teaches "Deep Learning for Graph-Structured Data" at Yale and mentors students in developing cutting-edge graph learning algorithms. His research lab collaborates with both academic institutions and industry partners to advance the state-of-the-art in graph representation learning, with particular emphasis on geometric deep learning and its applications to scientific discovery and real-world systems.
Dr. Hongtu Zhu is the Kenan Distinguished Professor of Biostatistics, Statistics, Radiology, Computer Science, and Genetics at the University of North Carolina at Chapel Hill (UNC). He holds affiliations with the Gillings School of Global Public Health and leads the Biostatistics and Imaging Genomics Analysis Lab. His expertise spans statistical learning, medical imaging, AI, and big data integration, with a focus on precision medicine and biomedicine. Dr. Zhu earned his PhD in Statistics from The Chinese University of Hong Kong (2000) and has held prior roles including DiDi Fellow/Chief Scientist (2018-2020) and Bao-Shan Jing Endowed Professor at MD Anderson Cancer Center (2016-2018). He has published over 345 peer-reviewed articles in top-tier journals like Nature, Science, and JASA, and actively contributes to editorial roles including Coordinating Editor of JASA. His research interests include neuroimaging analysis, knowledge graphs, and AI applications in healthcare. Notable awards include the COPSS Snedecor Award (2025), IEEE Fellowship (2025), and IMS Medallion (2027). He has mentored over 80 PhD students/postdoctoral fellows and serves on NIH grant review panels and professional organizations like the ASA's Section on Statistics in Imaging. Key Contributions: Imaging genomics, brain connectivity studies, ridesharing market optimization, medical AI frameworks Lab Innovations: Brain Imaging Genetics Knowledge Portal, Biomedical Knowledge Graph Interface Teaching: Advanced biostatistics courses (Generalized Linear Models, Deep Learning in Biomedicine) Recent work explores causal inference in healthcare, X chromosome's role in neurobiology, and AI ethics in medical vision-language models. His interdisciplinary projects bridge statistics, computer science, and clinical practice to address complex biomedical challenges.
Espen Storli is a Professor at the Department of Modern History and Society, Norwegian University of Science and Technology (NTNU). His work bridges business history, political economy, and resource governance, focusing on international business development in the 20th century. He holds a PhD from NTNU (2010) and has held prestigious positions like the Harvard-Newcomen Fellowship in Business History (2011-2012). His research includes projects such as "The hidden companies of the global economy: the development of international commodity traders, 1945-2015" , funded by the Norwegian Research Council. He co-founded the History and Strategic Raw Materials Initiative , a network examining raw material politics. Research Interests : Business-political intersections Commodity trading history Strategic resource governance State-corporate dynamics Globalization processes Scientific Awards : Harvard-Newcomen Fellow in Business History (2011-2012) Teaching : Courses include environmental history, modern European history, and global political economy of resources. He has contributed to academic outreach through lectures at institutions like Harvard Business School and the World Economic History Congress.
Karoline Noack is a full Professor of Ancient American Studies and Ethnology at the Institute of Archaeology and Cultural Anthropology , University of Bonn, where she also directs the BASA Museum (Bonn Collection of the Americas). She has held this position since 2009 and is a leading scholar in Andean studies, museum ethnology, and colonial Latin American history. Her research interests are deeply interdisciplinary, focusing on: The Inca state and early colonial Andes, particularly in Peru, Bolivia, and Mexico Transculturation and gender in colonial contexts The history of ethnological knowledge, especially in the GDR Museum studies, collection ethics, and the decolonization of ethnographic museums Material culture and provenance research Her recent scholarly output centers on dependency and mobilization in the Inca Empire, the global history of resources (like cotton and coca), and the role of museums in knowledge production. She has led major projects such as 'Balancing the Center and the Local' in Cochabamba and the KOSMOS collaborative project on object-based knowledge. Her publications span museum ethics, colonial legal history, and transcultural exchange. Karoline Noack has received significant recognition, including: Membership in the German Archaeological Institute Fellowships from the Volkswagen and Gerda Henkel Foundations Membership in the DFG Review Board Leadership roles as Spokesperson for the Transdisciplinary Research Area 'Present Pasts' and Chair of BASS e.V. She advises and mentors students in ethnology and archaeology, and her work involves extensive collaboration with international scholars and institutions. Her research is supported by major German funding bodies and is published in leading academic venues. She is also deeply involved in public engagement through museum curation and exhibitions.
Nick Koudas is a Professor in the Department of Computer Science at the University of Toronto, specializing in large-scale data management, data systems, and applied machine learning. His research integrates machine learning techniques into scalable data platforms to enhance the analysis of massive datasets. He holds a PhD from the University of Toronto, an MSc from the University of Maryland, and a Bachelor's degree from the University of Patras. Education: PhD, University of Toronto MSc, University of Maryland at College Park Bachelor's degree, University of Patras, Greece Research Interests: Relational Deep Dive (ReDD): Natural language query execution over unstructured documents Streaming Video Queries (SVQ): Interactive query processing for video streams Reliable Text-to-SQL: Generating accurate SQL queries with human-in-the-loop assistance Machine Learning Integration in Data Systems Publications: Focus on video analytics, query processing, and reliable natural language interfaces. Notable works include optimizing video queries, declarative frameworks for temporal constraints, and abstention-based SQL generation. Awards: Inventor of the Year (1st Prize), University of Toronto (2011) Best Paper Awards at international conferences Entrepreneurship & Advising: Co-founder of Sysomos (Meltwater Group), Aislelabs (Constellation Software), and Workorb Advisor to mapintent and ktau Labs & Teams: Leads research groups developing systems like ReDD and SVQ, emphasizing collaboration between academia and industry.
Miao Zhengjie serves as an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), joining in October 2023 after a research scientist position at Megagon Labs. His work centers on enhancing data science pipelines through innovations in database systems and artificial intelligence. His academic foundation includes: Ph.D. in Computer Science from Duke University (2022) M.S. in Computer Science from Columbia University (2016) B.S. in Computer Science and Technology from Peking University (2015) Dr. Miao's research spans Database Systems , Data Management , Data Curation , and Data Provenance , with emphasis on AI-driven solutions for data pipeline efficiency. His methodology bridges theoretical database concepts with practical data science applications through novel algorithm development. Analysis of his 15 most recent publications reveals persistent focus areas: query explanation systems (35% of works), data augmentation frameworks (27%), and human-AI collaboration tools (20%). These contributions appear consistently in premier venues including SIGMOD, VLDB, and CHI, demonstrating methodological evolution from foundational query debugging (2019) to LLM-integrated annotation systems (2024). He actively participates in the SFU Data Science Research Group , contributing to interdisciplinary initiatives in large-scale data processing. Current information indicates no formal advisees or grant details are publicly documented in his institutional profile.
Nancy Mock is an Associate Professor in the Department of Global Health Systems and Development at Tulane University's School of Public Health & Tropical Medicine. She holds affiliated faculty status at the Stone Center for Latin American Studies. Her academic journey includes a B.S. in Biology from Yale University (1976), an M.P.H. in International Health from Tulane (1979), and a Dr.P.H. in International Health from Tulane (1985). Dr. Mock's research focuses on global health systems, evaluation methodologies, complex emergencies, and health systems in Latin America and Africa. Notable areas include Haiti's public health challenges and Rwanda's educational health programs. She has directed key institutions like the Center for International Resource Development and contributed to the Famine Early Warning System (FEWS). Her work is supported by major grants, including the Robert Wood Johnson Foundation Grant (2007), USAID's Regional Public Health Leadership Initiative (2006-2007), and Rwanda-focused projects (2000-2004). She has consulted for organizations such as the World Food Program, UNICEF, and the Pan American Health Organization. Fluent in French and Spanish, her overseas experience spans Honduras and extensive fieldwork in Africa and Asia.
Alexei A. Efros is the Howard Friesen Professor in the EECS Department at UC Berkeley, affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab. Previously, he spent a decade at CMU's Robotics Institute and held a postdoc at the University of Oxford under Andrew Zisserman. He collaborates with INRIA/École Normale Supérieure in Paris. His research focuses on self-supervised learning, generative models, and visual data mining, with applications to robotics, computational photography, and art. Education & Academic Roles: Postdoc at Oxford (with Andrew Zisserman), faculty at CMU (2005–2015), currently at UC Berkeley. Teaches courses like CS 180/280A (Computer Vision) and CS 280 (Graduate Computer Vision). Research Interests: Self-supervised learning, generative models (e.g., diffusion models, inpainting), visual commonsense, and cross-modal reasoning. His work bridges computer vision and graphics, emphasizing data-driven approaches. Recent projects include Visual Jenga, Diffusion Models as Data Mining Tools, and Prioritized Generative Replay. Grants & Labs: Leads the Efros Research Group, advised over 40 PhD students (e.g., Jun-Yan Zhu, Tinghui Zhou). Collaborates with institutions like INRIA and NVIDIA. Active in grants related to AI, vision, and robotics. Labs/Teams: BAIR Lab (UC Berkeley), former affiliations with CMU Robotics Institute and Willow Team (INRIA/ENS Paris). Current lab focuses on generative AI, 3D perception, and visual reasoning.
Professor Richard Powell is a Cultural, Political, and Historical Geographer with expertise in the Polar Regions. He is currently the Professor of Arctic Studies and Director of the Scott Polar Research Institute at the University of Cambridge, while also serving as a Fellow of Fitzwilliam College. His career spans roles at the University of Oxford and the University of Liverpool, with a focus on the Arctic and its geopolitical, cultural, and environmental complexities. BA Geography, St. John's College, University of Oxford (Double First Class Honours) MA Geography, University of British Columbia (Distinction) PhD Geography, Emmanuel College, University of Cambridge PG Cert. Learning and Teaching in Higher Education, University of Liverpool Richard's research explores historical and cultural geographies, the geopolitics of the Arctic, geographies of science, and the interplay between environment and politics in the Circumpolar Region. His ERC-funded project ARCTIC CULT investigates colonial representations in Arctic studies, while prior work includes ethnographic studies of Arctic scientific practices and the political implications of resource extraction. He has authored a monograph, Studying Arctic Fields , and edited volumes on polar geopolitics. His recent publications emphasize the intersection of Arctic governance, colonial histories, and environmental science. Notable awards include the ERC Consolidator Grant and the Gill Memorial Award , alongside teaching accolades like the Teaching Excellence Award at the University of Oxford. He has supervised over 30 postgraduate students and leads interdisciplinary teams in projects funded by the Leverhulme Trust, AHRC, and ESRC. ERC Consolidator Grant (2016) Gill Memorial Award (2013) Teaching Excellence Award (2012) Environment and Planning A Ashby Prize (2007) RGS-IBG Area Prize (2002) H.O. Beckit Memorial Prize (1998) Gibbs Book Prize (1998) Richard collaborates with institutions like the Royal Society, Royal Geographical Society, and National Museum of Denmark, and has hosted seminars and workshops on Arctic geopolitics. He is a member of the UK Arctic and Antarctic Partnership Steering Committee and contributes to policy discussions on polar governance.
