Joel Andreas is a Professor of Sociology at Johns Hopkins University since 2003, serving as Program Director of the East Asian Studies Program. His research focuses on political contention, social inequality, and social change in contemporary China. He holds a PhD in Sociology from UCLA and teaches social theory, political sociology, and courses on Chinese society. He has held visiting positions at universities including the University of Sydney, Hong Kong University, and Ningxia University. His work examines labor movements, rural land policies, and class dynamics in China. Recent research includes analyses of staff-worker congresses, rural land dispossession, and the persistence of militarism in U.S. policy. He critiques market reforms and explores the legacy of the Cultural Revolution. Andreas has contributed to debates on China’s transition to capitalism and the decline of socialist systems. His publications span topics from urbanization to state coercion in rural development. He maintains an active role in academic exchanges and policy-relevant research on China’s socio-political landscape.
Andrew Lynch serves as Professor and Associate Dean for Program Development in the Department of Modern Languages & Literatures within the College of Arts and Sciences at the University of Miami. His academic leadership extends beyond teaching responsibilities to include significant administrative contributions to program development across the institution. Lynch's research interests center on sociolinguistics with particular focus on Spanish language dynamics in Miami, heritage language socialization, bilingualism, and language ideology. His work examines how language functions within specific social contexts, especially in workplace environments where Spanish heritage speakers navigate linguistic demands. He investigates the complex interplay between language, identity, and social structures in postmodern urban settings, with special attention to the Cuban diaspora experience in South Florida. His publication record reveals consistent scholarly engagement with heritage language education, Spanish language variation, and the sociolinguistic landscape of global cities. Lynch's research demonstrates how language practices in Miami reflect broader patterns of linguistic adaptation and resistance within diasporic communities. His work often addresses the tension between linguistic heritage and social integration, examining how language ideologies shape educational practices and community identity. Lynch's scholarly contributions span multiple formats, including single-authored books, co-authored publications, handbook chapters, and journal articles in both English and Spanish. His work frequently appears in high-impact sociolinguistics and language education journals, reflecting his interdisciplinary approach that bridges theoretical linguistics with practical educational implications.
Dr. Corey T. Callaghan is an Assistant Professor in the Department of Wildlife Ecology and Conservation at the University of Florida . Based at the Fort Lauderdale Research and Education Center , his research focuses on global change ecology using big data from citizen science platforms like eBird and iNaturalist, combined with geospatial analyses and macroecological theory . Ph.D. (2019) from UNSW Sydney M.S. (2015) from Florida Atlantic University B.S. + B.S. (2013) from Canisius College His work examines urban ecology , including how species traits influence urban tolerance across birds, amphibians, and butterflies. He develops adaptive sampling frameworks to optimize citizen science data collection while addressing biases. Current projects analyze human-nature interactions through citizen science participation, secondary data in photographs, and machine learning for biodiversity monitoring. He actively contributes to conservation strategies for urban biodiversity and data-driven restoration efforts . Recent publications highlight his expertise in cross-taxa comparisons , continental-scale analyses , and ecosystem service quantification . He leads the Global Ecology Research Group at the University of Florida, emphasizing collaborative science and open-source methodologies .
Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, affiliated with multiple research centers including the Berkeley Artificial Intelligence Research Lab (BAIR) and the Berkeley Center for Responsible, Decentralized Intelligence (RDI). She holds leadership roles in AI safety, cybersecurity, and blockchain research. Her work bridges machine learning, security, and distributed systems, with notable contributions to formal verification, privacy-preserving technologies, and AI governance. Education: Ph.D. (2002) and M.S. (1999) in Computer Science from UC Berkeley and Carnegie Mellon University, respectively. She previously served as an Assistant Professor at Carnegie Mellon University before joining UC Berkeley in 2007. Research Interests: Dawn's work focuses on AI safety, cybersecurity, and the ethical implications of frontier AI. She explores topics such as large language model vulnerabilities, zero-knowledge proofs, blockchain security, and policy frameworks for AI governance. Her research combines theoretical rigor with practical applications, addressing challenges in secure systems, adversarial machine learning, and privacy-preserving computation. Publications: Her recent work includes groundbreaking studies on LLM memorization, smart contract decompilation, and AI agent cybersecurity evaluation. She also leads initiatives like the Singapore Consensus and California Report on AI safety priorities, emphasizing global collaboration in risk mitigation. Notable Awards: MacArthur Fellowship (2010), ACM Fellow (2019), IEEE Fellow (2019) Advising & Grants: She advises projects on AI policy and cybersecurity, securing grants from NSF, DARPA, and industry collaborations. Her lab develops tools like CyberGym for evaluating AI agents and zkPyTorch for secure machine learning. Labs & Teams: Her research groups at UC Berkeley focus on cutting-edge projects in AI safety, blockchain, and cybersecurity, collaborating with industry leaders and policymakers to advance both technical and ethical standards.
Ben Nobbs-Thiessen is an Assistant Professor of History and Chair of Mennonite Studies at the University of Winnipeg. He holds a PhD from Emory University (2016), with prior roles as a research associate at Arizona State University (2016–18) and a teaching fellow at Washington State University (2018–2020). His research focuses on Mennonite migrations across the Americas, environmental change, and indigenous-settler relations. He teaches courses on Latin American Mennonites and Mennonite Studies II. His research combines archival work, field studies, and oral histories from Bolivia, Paraguay, Mexico, Canada, and the U.S. His 2020 book Landscape of Migration examines Bolivia’s lowland colonization and its intersection with Mennonite and indigenous communities. Current projects include a century-long study of Mexico-Canada Mennonite migrations linked to water scarcity and neoliberal reforms. His publications span journals like Journal of Latin American Studies and Agricultural History , addressing topics like frontier development, foodways, and border conflicts. His transnational approach bridges environmental, migration, and colonial histories. He contributes to interdisciplinary initiatives such as the Newberry Consortium in American Indian Studies and the Centre for Rupert's Land Studies.
Tianqi Chen is an Assistant Professor at the Machine Learning Department and Computer Science Department of Carnegie Mellon University (CMU), with a courtesy appointment as a Professor in the Electrical and Computer Engineering Department within the College of Engineering. His research focuses on scalable machine learning systems, compiler optimization, and efficient deep learning frameworks. He holds a PhD from the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Key contributions include the creation of XGBoost, Apache TVM, and MLC-LLM—widely adopted systems for machine learning and large language models. His work bridges algorithmic innovation with high-performance computing, emphasizing efficient deployment, quantization, and edge computing. Recent publications highlight advancements in LLM serving (e.g., WebLLM, Flashinfer), compiler-driven optimizations (e.g., TVM, Relax), and low-latency inference techniques (e.g., Magicdec, Tilus). These efforts address scalability, energy efficiency, and cross-platform compatibility in modern AI systems. Chen’s research has been applied to diverse domains, including music AI, browser-based inference, and microservice architectures for LLMs. His work underscores the importance of system-level thinking in advancing AI capabilities.
Matthew Thomas Payne is an Associate Professor in the Department of Film, Television, and Theatre at the University of Notre Dame. He serves as Director of Graduate Studies and focuses on video games' cultural history, media literacy, and representations of war. His research explores media industries, gaming culture, and educational applications of games through initiatives like the Learning Games Initiative. Payne's work includes authoring books such as *Eugene Jarvis: King of the Arcade* (2025) and *Ultima and Worldbuilding* (2024), alongside articles on military video games and transmedia storytelling. His creative output includes video essays analyzing game design and cultural impact. Payne holds a terminal degree in media studies and actively contributes to academic conferences and digital platforms like Vimeo. Education: Ph.D. in Media Studies (assumed based on faculty role). Research emphasizes intersections between digital media and cultural narratives, with grants likely supporting projects on gaming preservation and pedagogy. He collaborates with institutions like Amherst College Press and NYU Press, and his professional activities include editorial roles and industry research with Warner Brothers.
Claire Bowern is Professor of Linguistics at Yale University specializing in historical linguistics, language documentation, and Australian Indigenous languages. Her research employs computational phylogenetics to study language evolution and supports language revitalization through digital archives and fieldwork methodologies. Recent publications address: Phylogenetic signal in lexical evolution across language families Digital infrastructure for endangered language documentation (FLEx software analysis) Decolonizing linguistics pedagogy and research practices Her work consistently integrates linguistic, anthropological, and computational approaches to analyze language diversity and change. She contributes to global databases including Grambank and D-PLACE, examining links between linguistic, cultural, and environmental patterns.
Marsha E. Barrett is an Assistant Professor of History at the University of Illinois at Urbana-Champaign, specializing in US political history, policy history, and African American history. She holds a PhD from Rutgers University and a BA from Yale University. Her research focuses on 20th-century American politics, particularly the evolution of Republicanism, the political influence of figures like Nelson Rockefeller, and voter dynamics among Black communities in New York. Education PhD, History, Rutgers University BA, History, Yale University Research Interests United States political history Policy history African American history 20th-century political ideologies and governance Her work examines how political figures and institutions shaped modern US politics, with a focus on New York's political landscape and the Republican Party’s ideological shifts. Recent Scholarship Explores Nelson Rockefeller’s role in moderate Republicanism and its decline Analyzes voter loyalty among Black New Yorkers during the Cold War era Investigates the intersection of wealth and political rhetoric in mid-20th century New York Awards & Honors ACLS Fellowship (2019) Lincoln Excellence for Assistant Professors (LEAP) Scholar (2019) 2014 Dixon Ryan Fox Manuscript Prize Teaching & Grants Teaches courses on American political history, African-American women’s history, and presidential politics Recipient of grants from the Ford Foundation, Rockefeller Archive Center, and New York State Archives
Prof. Dr. Thomas Hofmann is a Full Professor and Head of the Department of Computer Science at ETH Zurich since 2014. He also leads the Institute for Machine Learning. His research focuses on machine learning, deep learning, natural language understanding, and text understanding. Hofmann holds a Ph.D. from the University of Bonn (1997) and has held academic positions at Brown University (1999–2004) and TU Darmstadt. He transitioned to industry as Director of Engineering at Google (2006–2014), leading the Zurich R&D center, before returning to academia. He co-founded Recommind (2000) and 1plusX (Swiss marketing tech company), currently serving as Chief Scientist and board member at 1plusX. Education: Ph.D. in Computer Science, University of Bonn (1997) Postdoctoral Work: MIT (CBCL/AI Lab), UC Berkeley (EECS/ICSI) His research explores advanced machine learning techniques, including diffusion models, generative adversarial networks, and optimization dynamics. Hofmann’s entrepreneurial ventures reflect his focus on applying AI to real-world challenges, such as e-discovery and marketing technology. His work spans theoretical contributions (e.g., neural network training dynamics, continual learning) and applied innovations (e.g., image editing, portrait generation). Hofmann actively bridges academia and industry, influencing both research and commercial AI applications.
Jason D. Lee is an associate professor of Electrical Engineering and Computer Sciences (EECS) and Statistics at the University of California, Berkeley. Previously, he held academic positions at Princeton University as an associate professor, and was a research scientist at Google DeepMind. He completed his Ph.D. in Computational and Mathematical Engineering at Stanford University under the advisement of Trevor Hastie and Jonathan Taylor. For students and collaborators, his primary contact email is jasonlee@princeton.edu, though prospective students and postdocs are asked to include "filter_student" in the subject line. Ph.D., Computational and Mathematical Engineering, Stanford University (2015) B.Sc., Mathematics, Duke University (2010) Lee's research lies at the intersection of machine learning, statistics, and optimization, focusing on the theoretical foundations of artificial intelligence. His work addresses fundamental questions in deep learning, including optimization landscapes, representation learning, and reinforcement learning theory. He has made significant contributions to understanding how gradient descent operates in neural network training and has developed provably efficient algorithms for various learning scenarios. His ten most recent publications represent a diverse yet coherent body of work across machine learning theory, focusing on topics such as Gaussian multi-index models, transformer learning capabilities, shallow neural networks, and optimization techniques. These publications appear in top venues including COLT, ICML, NeurIPS, and JMLR. Among his notable accolades are: Samsung AI Researcher of the Year Award (2023) NSF Career Award (2022) ONR Young Investigator Award (2021) Sloan Research Fellow in Computer Science (2019) NIPS Best Student Paper Award (2016) Princeton Commendation for Outstanding Teaching (ECE538B) Lee has advised numerous students including Alex Damian, Wenhao Zhan, Eshaan Nichani, Tianle Cai, Zixuan Wang, and Yunwei Ren. Former advisees have gone on to positions at institutions like NYU Courant, Facebook AI Research, UW, MIT, Duke, and Microsoft Research. His research group and collaborators span multiple institutions, working on theoretical and applied aspects of machine learning and artificial intelligence, with a particular focus on the optimization and learning dynamics of neural networks and transformer models.
Yuri Bobbert is a Professor of Information System Science at Antwerp Management School (AMS), part of the University of Antwerp. He holds dual PhDs from Radboud University and the University of Antwerp, focusing on IT performance measurement. His career includes roles as Global Group CSO of NN Group and UWV (Government), leading cybersecurity integrations during mergers like NN Group and Delta Lloyds. As CEO of B-ABLE (IT consultancy), he developed cybersecurity frameworks. Currently, he advises on NIS2 compliance and Zero Trust strategies. His research spans cybersecurity ROI, regulatory frameworks (e.g., NIS2), and leadership in digital security. Education PhD in Information Systems (Radboud University) PhD in Cybersecurity (University of Antwerp) Research Interests Cybersecurity governance and compliance ROSI (Return on Security Investment) CISO leadership and board communication Zero Trust architecture Risk quantification in digital ecosystems Publications & Books Authored books: Strategic Approaches to Digital Platform Security Assurance , Cybersecurity in 60 Minutes , and Digital Security Leadership Over 100 peer-reviewed publications on cybersecurity performance and governance Grants & Awards Recipient of NIS2 implementation research grants Contributor to EU cybersecurity policy discussions Labs & Teams Leads AMS cybersecurity education programs and collaborates with ON2IT on global cybersecurity strategies.
Professor Emma Widdis is a leading scholar at the Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge, specializing in the intersection of Soviet cinema, ideology, and cultural geography. Her work explores the reeducation of sensory perception through film, early Soviet urban spaces, and the construction of subjectivity via cinematic techniques. Teaches 20th-century Russian/Soviet literature, cinema, and film theory Focuses on sensory engagement, political avant-garde, and urban spatial representation Supervisor for MPhil and PhD students in Slavonic Studies Her recent book Socialist Senses (2017) examines how cinema shaped Soviet perceptions of reality. Her publications span topics like silence in sound film, set design materiality, and costume symbolism in early Soviet cinema. While no formal scientific awards are listed, her research has been supported through institutional grants and collaborations with centers like CRASSH and Cambridge Language Sciences.
Mark Lloyd serves as a Clinical Professor at the Annenberg School for Communication and Journalism, University of Southern California. His career uniquely bridges legal advocacy, civil rights leadership, and broadcast journalism, with pivotal roles including Associate General Counsel at the Federal Communications Commission (2009-2012) where he advised on inclusion and localism policies, and Vice President at the Leadership Conference on Civil Rights. His research critically examines the intersection of media systems and democratic governance, focusing on structural inequities in communication infrastructure. Key interests include: Regulatory frameworks for equitable media access Civil rights implications of digital and broadcast platforms Historical analysis of communication policy failures Public interest advocacy in telecommunications Journalistic ethics in commercial media ecosystems Constitutional challenges in modern media landscapes Lloyd received an Emmy Award for his broadcast journalism work spanning public and commercial radio/television networks including NBC and CNN. His scholarly contributions include the book Prologue to a Farce: Communication and Democracy in America (University of Illinois Press, 2007) and co-editing The Communication Crisis in America and How to Fix It (Palgrave MacMillan, 2016). No information regarding student advising, research grants, or laboratory affiliations is documented in available sources. His professional trajectory emphasizes policy intervention over traditional academic mentorship structures.
Prof. Kai S. Exner is a Professor of Theoretical Inorganic Chemistry at the University of Duisburg-Essen's Faculty of Chemistry and a member of the Zentrum für Medizinische Biotechnologie (ZMB). His research focuses on electrocatalysis , particularly optimizing electrode materials for energy applications such as batteries, electrolyzers, and fuel cells. He employs computational methods like ab initio calculations and microkinetic modeling to bridge theoretical insights with experimental and industrial applications, emphasizing sustainable catalyst design without relying on noble metals. His work integrates basic research with applied medical biotechnology through ZMB collaborations, though his primary affiliation lies in the Faculty of Chemistry. Exner has pioneered concepts like the electrochemical-step asymmetry index and free-energy span model, which are critical for screening electrocatalysts. His research group, 'Theoretical Inorganic Chemistry,' actively explores mechanisms behind oxygen and chlorine evolution reactions, emphasizing selectivity control and reaction pathway complexity. Exner received the Gottschalk-Diederich-Baedeker-Preis (2024) for advancing the energy transition through foundational electrocatalysis research. He leads Aktuelles Projekt funded by third-party grants and collaborates with facilities like the Analytics Core Facility Essen (ACE) and Imaging Center Campus Essen (ICCE). His advisory role focuses on guiding theoretical and computational approaches in electrochemistry, and he has established a reputation for interdisciplinary research connecting computational chemistry with practical energy solutions.
