Steve Chase is a Professor at Carnegie Mellon University , affiliated with the Biomedical Engineering , Electrical and Computer Engineering , Neuroscience Institute , and Robotics Institute departments. His research spans Computational Neuroscience , Neural Engineering , and Systems Neuroscience , with a focus on neural circuits, motor control, and brain-computer interfaces (BCI). Research Areas: Sensation & Perception, Methods Development, Diseases & Disorders, Physiological & Anatomical Methods. Lab Highlights: Development of the RotaWheel, memory trace studies in the motor cortex, and investigations into BCI stabilization and learning dynamics. Scientific Contributions: His lab has published extensively in journals like Neuron , Nature Computational Science , eLife , and PNAS , with notable works on neural activity patterns, dimensionality reduction in calcium imaging, and sensory constraints on motor cortex modulation. Students and postdocs in his lab have received awards, including the CNBC best paper award.
Allen J. Scott is a Distinguished Research Professor at the University of California, Los Angeles, with a joint appointment in the Department of Public Policy (School of Public Affairs) and Department of Geography. He has held prestigious positions at UCLA since 1994 and previously at the University of Toronto (1969–1994). His career spans over five decades, focusing on urban geography, regional development, and cultural economy. Education : BA (1961) from Oxford University; MA and PhD (1962, 1965) from Northwestern University. Research Interests include: Creative cities and cognitive-cultural capitalism Political economy of urbanization and globalization Industrial clusters and labor-intensive economies Human capital distribution in metropolitan areas Cultural landscapes and peripheral development Publication Trends (2005–2014) emphasize: Globalization's impact on low-technology industries Cognitive-cultural capitalism in urban contexts Human capital dynamics in metropolitan hierarchies Celebrity culture and urban glamour Creative field theories and urban policy implications Scientific Awards : 1986 Guggenheim Fellow 2003 Vautrin Lud Prize 2005 Meridian Book Prize 1999–2013: Chaires d’Excellence, Fellowships, and Doctor Honoris Causa 2008 Carol and Bruce Mallen Lifetime Achievement Award 2003 ISI Highly Cited Author
Dr. Euijin (Alley) Choo is an Assistant Professor in the Department of Computer Science at the University of Alberta, specializing in data-driven cybersecurity and big data analytics. Her research focuses on AI-based cybersecurity solutions, anomaly detection in network traffic, and adversarial attacks on federated learning systems. She holds a Ph.D. from North Carolina State University and has held roles at Qatar Computing Research Institute, Korea University, and the University of Missouri-Rolla. Education: Ph.D., Computer Science, North Carolina State University (2015) M.S., Computer Science & Engineering, Korea University (2008) B.S. Dual Degree in Computer Science & Mathematics, Korea University (2006) Research Interests: Security and big data analysis intersections Federated learning security and privacy Anomaly detection in network logs and enterprise systems Malware/phishing detection using graph inference AI-driven threat intelligence aggregation Recent Grants: Mitacs Accelerate Program Grant: Fraud Detection in Financial Graphs ($60,000, 2025) National CyberSecurity Consortium Grant: IntruderInsight ($2M, 2025-2027) NSERC Discovery Grant: Threat Detection Framework ($180,000, 2025-2031) Awards: Best Paper Award at DBSEC 2015 NSERC Early Career Researcher Award (2025) Provost Fellowship (NC State, 2009-2010) Labs/Teams: Leads the Data-driven Network and Cyber Security (DANS) Lab, focusing on federated learning defenses, compromised entity detection, and malicious domain analysis.
Professor Beth Williamson is a leading scholar of medieval culture, holding dual roles as Professor of Medieval Culture and Chair in the History of Art at the University of Bristol's Department of History of Art (Historical Studies), and as Academic Director (Research Impact & Translation Partnerships) within the Faculty of Social Sciences and Law. She earned her B.A. from Oxford University (Oxon), an M.A., and a Ph.D. from the University of London (Lond.). Her research focuses on visual, material, and aural dimensions of medieval religious practice, exploring how sensory experiences shaped devotional life. Key themes include sacred imagery (e.g., the Virgin Lactans and Madonna of Humility), liturgical spaces, and the intersection of art with music, time, and political power. Recent projects include studies of Westminster Abbey’s royal patronage and collaborations in interdisciplinary historical research. Her publications span over three decades, addressing topics from Italian Renaissance altarpieces to Irish medieval sculpture, with a strong emphasis on material culture and devotional practices. Despite her prolific output, no formal awards are listed, though her academic leadership roles reflect her scholarly impact. As a mentor, her supervisory activities are noted in her profile but lack specific student names. Her work bridges academic and public spheres, particularly through her role in translating research into societal impact initiatives. She is affiliated with the University of Bristol’s Senate House and contributes to institutional leadership.
Justin A. Weibel is a Professor of Mechanical Engineering at Purdue University, affiliated with the School of Mechanical Engineering. He directs the Cooling Technologies Research Center (CTRC), a National Science Foundation Industry/University Cooperative Research Center. His research focuses on advanced electronics cooling, phase-change transport, additive manufacturing for thermal components, and machine-learning-driven design optimization. He has led projects funded by DARPA, ONR, ARPA-E, and industry partners, advancing cooling solutions for high-power electronics and energy systems. Research interests span thermal management, heat transfer, micro/nano-scale engineering, and sustainable energy. Key contributions include topology optimization for heat sinks, two-phase flow modeling, and embedded cooling systems for electric motors. His work integrates computational methods with experimental validation. Grants & Programs: DARPA TGP/ICECool, ONR NEPTUNE, ARPA-E ASCEND/COOLERCHIPS, SRC CHIRP Labs: Cooling Technologies Research Center (CTRC) Future Work: Expanding additive manufacturing applications, improving thermal efficiency in electrified transport, and advancing AI-driven thermal system design. Awards: Fellow of ASME (2023) Outstanding Faculty Mentor (2022) Multiple best paper awards from IEEE ITherm, ASME, and SEMI-THERM conferences
Matteo Bonotti is an Associate Professor of Politics & International Relations at Monash University, previously teaching at Cardiff University, Queen’s University Belfast, and the University of Edinburgh. His research focuses on democratic theory, political liberalism, linguistic justice, free speech, civility, and food justice, addressing ethical pluralism and cultural diversity in modern societies. He has published in journals like the American Political Science Review and authored/co-authored books including Partisanship and Political Liberalism in Diverse Societies (Oxford UP, 2017) and Healthy Eating Policy and Political Philosophy: A Public Reason Approach (Oxford UP, 2022). Bonotti leads projects on disinformation in Southeast Asia, linguistic justice among Italian-Australians, and civic education. His work contributes to UN Sustainable Development Goals related to justice, peace, and sustainable consumption. Education: Previous academic roles at Cardiff, Queen’s Belfast, and Edinburgh universities. Research Themes: Ethical pluralism, democratic legitimacy, public reason, and policy narratives. Recent Projects: ASEAN Disinformation Index, Language & Political Participation in Australia, and Civic Virtue in Polarized Societies. His articles explore topics like civility in environmental politics, far-right network dynamics, and gastrospaces as ethical spaces. Collaborations span international scholars across political theory, sociology, and philosophy. Bonotti actively engages with public discourse through media commentaries on civility, pandemic narratives, and free speech debates.
Brett Kolesnik is a Research Fellow in the Department of Statistics at the University of Warwick. His research focuses on probability theory, random structures, bootstrap percolation, and interactions with combinatorics. He has held postdoctoral fellowships at UC Berkeley, San Diego, and the University of Oxford, and was a Senior Demy at Magdalen College. His work includes organizing workshops on bootstrap percolation and collaborating with leading researchers in probability and combinatorics. Education: PhD in Mathematics from the University of British Columbia (advised by Omer Angel). Notable awards include the NSERC Postdoctoral Fellowship and the Florence Nightingale Bicentennial Fellowship in Statistics. Research interests span bootstrap percolation models, random graph dynamics, and stochastic processes. Recent work includes studies on Brownian map geometry, tournament score sequences, and Coxeter group structures. Selected articles explore topics such as critical beta-splitting processes, Catalan percolation, and random walks on algebraic structures. His publications appear in top journals like Electronic Journal of Probability and Annals of Applied Probability . Awards include the Florence Nightingale Fellowship and NSERC Postdoctoral Fellowship. Professional involvement includes organizing the 2024 BIRS workshop on Bootstrap Percolation and contributing to interdisciplinary collaborations in probability and combinatorics.
Carol Carpenter is a Senior Lecturer and Associate Research Scholar at Yale University's School of the Environment. She has held teaching and research positions at Syracuse University, the University of Hawaii, and Hawaii-Pacific University, and a research role at the East-West Center. Her expertise spans environmental anthropology, conservation, sustainable development, and gender in agrarian systems. She earned a B.A. from SUNY Binghamton and M.A./Ph.D. from Cornell University. Her research focuses on the social science of conservation, economic anthropology in agriculture, and gender dynamics in ecological systems. Notable fieldwork includes four years in Indonesia studying rituals and social networks, followed by four years in Pakistan as a development consultant on social forestry and women's issues for USAID, the World Bank, and the Asia Foundation. She joined Yale in 1998 and published Power in Conservation: Environmental Anthropology Beyond Political Ecology (2020) and co-edited Environmental Anthropology: An Historical Reader (2007). Her recent work critiques conservation practices through an anthropological lens, emphasizing cultural contexts and gender roles. Earlier studies explored resource management in Pakistan, including women’s labor in agriculture and afforestation impacts. Her articles span decades, addressing topics from ritual ethnobotany to development surveillance in Bolivia. While no specific grants or lab affiliations are detailed, her consultancy roles highlight applied research in development sectors. No awards are explicitly mentioned, though her academic contributions are substantial.
John D. Murray is the Gregg L. Engles Associate Professor of Psychological and Brain Sciences at Dartmouth College and an Adjunct Associate Professor of Psychiatry at Yale School of Medicine. He holds a PhD in Physics from Yale University (2013) and a BS in Physics and Mathematics from Yale (2006). His research focuses on computational neuroscience and computational psychiatry, with secondary appointments in Physics and Neuroscience at Yale until 2023. His work integrates computational modeling, neuroimaging, and systems neuroscience to study decision-making processes, cortical organization, and psychiatric disorders. Collaborators include prominent researchers like Dr. John Krystal and Dr. Anticevic. Research interests include hierarchical brain organization, neuroimaging analysis techniques, and pharmacological effects on neural circuits. His lab (Murray Lab) develops computational tools like PsychRNN for cognitive task modeling. Notable contributions include linking transcriptomic data to neuroimaging patterns and modeling LSD’s effects on brain topography. He has been featured in YaleNews and Nature Communications for innovations in mapping mental illness variability and neural circuit dynamics. Grants and collaborations span translational neuroscience, addiction, and PTSD research through partnerships with Yale’s Center for Biomedical Data Science and VA National Center for PTSD. His interdisciplinary approach bridges physics, computer science, and clinical psychiatry to advance understanding of brain function and dysfunction.
**Dr. JIN Chen** is an **Associate Professor** in the **Department of Information Systems and Analytics** at the **National University of Singapore (NUS) School of Computing**. He holds a PhD in Industrial Engineering and Management Science from Northwestern University (U.S.) and joined NUS in 2018 after postdoctoral work at the Wharton School, University of Pennsylvania. His research focuses on **online platforms**, **information systems operations**, and **digital transformation**, with a particular interest in addressing challenges like fake information dissemination and platform competition. His work bridges **operations management** and **information systems**, emphasizing practical applications in e-commerce and fintech. **Education**: B.Sc. (Shanghai Jiao Tong University) M.Sc. & Ph.D. (Northwestern University, U.S.) **Research Interests**: Platform design and competition Information bundling and pricing strategies Consumer search behavior Right-to-repair policies and environmental impacts **Awards & Recognition** (selected): Finalist, MSOM Service Management SIG Best Paper Award (2024) Nomination for NUS Young Researcher Award (2022–2024) Winner, INFORMS ENRE Young Researcher Prize (2022) Teaching Excellence Awards (2021–2023) **Key Projects**: Optimal information structure design to combat fake orders/reviews Environmental and welfare implications of right-to-repair laws Strategic bundling and pricing in multi-service platforms
Sushmita Roy is a Professor at the University of Wisconsin–Madison, affiliated with the Department of Computer Sciences and the College of Letters and Science. Her research focuses on developing computational methods in statistical machine learning to understand gene regulatory networks in living cells, particularly under environmental, developmental, disease, and evolutionary contexts. She explores bulk and single-cell genomic data integration to study processes like cell fate specification, host-microbe interactions, and diseases such as cancer and neurodevelopmental disorders. Her work emphasizes three key areas: inference of genome-scale transcriptional networks, evolutionary analysis of regulatory networks, and 3D genome organization dynamics. Roy’s lab collaborates across disciplines, leveraging genomic data from plant and mammalian systems. She has contributed to methodologies for analyzing chromatin accessibility, single-cell profiling, and network-based models of pathogen systems. Her affiliations include Wisconsin Institutes for Discovery, and she is a leader in computational biology and systems genomics research.
Professor Beatrice Heuser is a distinguished academic in the Department of Politics within the School of Social & Political Sciences at the University of Glasgow. Her career spans multiple prestigious institutions across Europe, including King's College London, University of Reading, and visiting professorships at Sciences Po Paris, Bundeswehr University Munich, and MGIMO. She maintains significant affiliations with major strategic research institutes including Chatham House, RUSI, IFRI, and IRSEM. Education: BA from Bedford College London, MA from LSE, DPhil from Oxford (St Antony's/St John's), Habilitation from University of Marburg Professional Experience: Former Director of Studies at German Bundeswehr's military history research office, NATO Headquarters consultant, and extensive teaching across European institutions Her research centers on strategic studies with particular focus on the cultural dimensions of warfare, nuclear strategy, and the historical evolution of strategic thought. Key research areas include strategic culture, military exercises as political instruments, laws of war development, and European defense policy. Her work bridges historical analysis with contemporary security challenges, examining how cultural narratives shape strategic decision-making from antiquity to the nuclear age. Professor Heuser's recent publications demonstrate consistent scholarly output across strategic theory, military history, and contemporary security issues. Her work shows particular emphasis on the conceptual foundations of strategic culture, historical analysis of warfare evolution, and practical applications to modern security challenges including nuclear deterrence and asymmetric warfare. The interdisciplinary nature of her research connects political theory, historical analysis, and security studies. She actively supervises graduate students in strategic theory, nuclear strategy, insurgency studies, and defense policy-making within NATO/EU contexts. Her teaching portfolio includes War and International Relations, Defense Policy, and Strategic Theory courses.
Dr. Jeremy Guest is the Levenick Professor in Civil and Environmental Engineering (and courtesy appointment in Chemical & Biomolecular Engineering) at the University of Illinois Urbana-Champaign (UIUC). He serves as Associate Director for Research at the Institute for Sustainability, Energy, and Environment (iSEE) and leads the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI). His research focuses on advancing circular bioeconomies through sustainable sanitation systems, resource recovery from wastewater, and biofuel/bioproduct development from lignocellulosic biomass. Guest's work emphasizes Quantitative Sustainable Design (QSD) methodologies to bridge engineering innovation with policy and investment decisions. Education: PhD in Environmental Engineering (University of Michigan, 2012); MS (Virginia Tech, 2007); BS (Bucknell University, 2005). Research interests include wastewater treatment innovation, nutrient recovery, bioenergy systems design, and sustainable agriculture practices. Key contributions include the EcoRecover phosphorus recovery process, the QSDsan modeling platform, and leadership in CABBI's $262.5M DOE-funded initiative. Guest has secured funding from NSF, US EPA, USDA, and the Bill & Melinda Gates Foundation. Recognitions include the NSF CAREER Award, 2021 James J. Morgan Early Career Award, and the Paul L. Busch Award. He advises over 15 graduate students and leads multiple high-impact projects like the NEWgenerator sanitation system and oilcane biorefinery integration. Lab/Group: Guest Research Group focuses on experimental, computational, and policy-oriented research to solve global sustainability challenges. Current projects address algae-based wastewater treatment, fecal sludge management in low-income regions, and precision fermentation systems development.
Dr. John Francis Clinton is the Director of Seismic Networks and Head of the Earthquake Monitoring Section at the Swiss Seismological Service (SED), ETH Zurich. He leads the Marsquake Service for NASA's InSight mission and oversees Switzerland's broadband and strong-motion seismic networks. His expertise spans earthquake early warning systems, seismic instrumentation, and glacial seismology. Clinton is also a Co-Investigator on the Mars InSight mission and involved in international projects like EPOS and RAMSIS. Education PhD in Civil Engineering (Minor in Geophysics), California Institute of Technology (2004) MSc in Civil Engineering, California Institute of Technology (1998) BEng in Civil Engineering, University College Dublin (1997) Research Interests Dr. Clinton focuses on real-time seismology, seismic instrument design, structural health monitoring, and glacial seismology. His work bridges engineering applications with geophysical data analysis, particularly in earthquake early warning systems and induced seismicity studies. He collaborates internationally on projects such as the Valais Near Fault Observatory and Nicaragua’s Earthquake Early Warning development. Publications Overview His 15 most recent papers (2011–2015) highlight advancements in seismic network optimization, Marsquake detection algorithms, and glacial icequake mechanisms. Key themes include improving early warning accuracy, understanding subglacial dynamics, and validating high-rate GPS for structural monitoring. Awards & Memberships Member, Swiss Academy of Sciences (since 2008) Member, IRIS Quality Assurance Advisory Committee (since 2013) Chair, European Integrated Data Archives (EIDA) (2013–2015) Labs & Teams Clinton directs the SED’s Earthquake Monitoring team and collaborates with ETH Zurich’s Geophysics Masters Program. His group manages Switzerland’s seismic networks and leads the Marsquake Service, which analyzes InSight lander data for Martian seismic events.
Professor Alexandra M. Schmidt is a leading academic in Biostatistics at McGill University, holding an endowed University Chair. She specializes in spatial and spatio-temporal modeling, particularly in epidemiology and environmental health. Previously, she served as a Full Professor at the Federal University of Rio de Janeiro (2012–2016). Her research focuses on Bayesian methodologies for analyzing complex processes, including disease spread, environmental hazards, and socio-economic disparities. She has authored influential books such as Spatio-Temporal Methods in Environmental Epidemiology with R (2023) and contributed to over 150 peer-reviewed articles. Key awards include the ISBA Fellowship (2024), ASA Fellowship (2020), and the Abdel El-Shaarawi Award (2008). Education: PhD in Statistics (2001, University of Sheffield, UK), MSc and BSc in Statistics (Federal University of Rio de Janeiro, Brazil). Research interests span Bayesian inference, spatial statistics, and environmental epidemiology. She has advised numerous PhD/MSc students and collaborated on projects linking statistical methods to public health challenges, such as modeling dengue outbreaks and air pollution impacts. Active in academic service, she has chaired major conferences (e.g., 2022 ISBA World Meeting) and serves on editorial boards of top journals like Bayesian Analysis and Canadian Journal of Statistics . Teaching includes advanced courses on generalized linear models, spatial epidemiology, and Bayesian analysis. Her work bridges theoretical statistics with practical applications, addressing global health issues through innovative spatio-temporal modeling techniques.
