Joakim Nivre is a Professor at Uppsala University's Department of Linguistics and Philology. He is a leading researcher in computational linguistics, with a focus on dependency parsing, Universal Dependencies (UD) framework development, and multilingual NLP applications. His recent work explores LLMs in climate change discourse analysis, pharmacovigilance explainability, and historical text processing. Key research areas: Dependency parsing theory, Universal Dependencies standardization, LLM evaluation Collaborations: SweSAT-1.0 benchmark development, ClimateEval project, PARSEME integration His 2025-2023 publications demonstrate expertise in explainable AI for healthcare, synthetic data generation for idioms, and multilingual benchmark design. Notably, he co-developed SweSAT-1.0 to evaluate Swedish LLMs and contributed to typology-informed UD revisions. Despite extensive work in NLP, no scientific awards are mentioned in available texts.
Andrew Warfield is an Adjunct Professor in the Department of Computer Science at the University of British Columbia (UBC) and a Senior Principal Engineer at Amazon. His research focuses on computer systems software, including virtualization, distributed storage, security, and high-availability systems. He previously held roles as Associate Professor at UBC, CTO at Coho Data, and Technical Director at Citrix Systems. His work has led to projects like Remus (high-availability replication), Tralfamadore (execution analysis), and secure hypervisor development with Xen. Warfield's education includes a PhD from the University of Cambridge's Computer Laboratory, where he researched I/O device virtualization under Steven Hand. He has held visiting roles at Intel Research Cambridge and internships at AT&T Research and Nortel Networks. Research Grants: Supported by Intel Research, NSERC, Network Appliance, and the Communications Security Establishment. Professional Activities: Technical Advisory Board Member at Teradici, and involvement in program committees for conferences like HotOS, EuroSys, and FAST. His research emphasizes practical systems, aiming to bridge the gap between theoretical computer science and real-world applications. Notable contributions include innovations in storage for virtualized environments, secure hypervisor architectures, and disaster-tolerant systems like SecondSite. Warfield is affiliated with UBC's Department of Computer Science and maintains active collaboration with industry partners. Though currently not actively recruiting students, his prior mentorship has influenced many in systems research.
Bruno Takahashi is the Brandt Endowed Professor of Environmental Communication at Michigan State University, holding a joint appointment in the School of Journalism and AgBioResearch. He serves as Research Director of the Knight Center for Environmental Journalism and maintains affiliations with the Health and Risk Communication Center, the Environmental Science and Policy Program, and the Center for Latin American and Caribbean Studies at MSU. Born and raised in Lima, Peru, Dr. Takahashi earned his bachelor's degree in communication from Universidad de Lima, followed by M.S. and Ph.D. degrees in Environmental Science from SUNY ESF. Bachelor's in Communication, Universidad de Lima, Peru M.S. in Environmental Science, SUNY ESF Ph.D. in Environmental Science (specializing in environmental communication and participatory processes), SUNY ESF Dr. Takahashi's research program focuses on news coverage of environmental issues, environmental journalism practices in Latin America and U.S. Latino media, and identity in science communication. His work emphasizes counter-hegemonic environmental discourses in Latin American contexts, examining complex networks of actors, media, and communication processes embedded in post-colonial and social and environmental justice dynamics. He has conducted extensive field research in Peru, Bolivia, and Puerto Rico, with particular attention to environmental communication during disasters and in Indigenous communities. His recent scholarly output reveals a strong trend toward examining climate change communication through diverse cultural lenses, with significant attention to Latin American perspectives, immigrant experiences in the United States, and identity factors in science communication. His publications frequently address decolonial approaches to environmental communication and the need for more inclusive international scholarship that centers Global South perspectives. Scientific awards and recognitions include: 2024 AEJMC First Place in Latin American Communication Research 2021 Fellow of the Institute for Diverse Leadership, AEJMC 2019 Knudson Latin America Book Prize Multiple top paper awards from ICA and AEJMC conferences Dr. Takahashi actively mentors a diverse research team of Ph.D. students, post-doctoral associates, and MA students, with former students now holding positions at universities including University of Nevada, University of Minnesota, and Emory University. His research is supported by significant grants including a $2.8 million NSF grant for the SciComm Identities Project, funding from the Climate and Land Use Alliance, and multiple State Department and Embassy grants for environmental journalism training in Latin America. He has developed and led education abroad programs to Peru (2018, 2024) and the Netherlands/Belgium (2022), providing experiential learning opportunities for students in environmental communication. As Research Director of the Knight Center for Environmental Journalism, Dr. Takahashi leads initiatives supporting environmental journalists globally. His current projects include examining environmental discourses in the Peruvian Amazon related to oil spills affecting Indigenous communities, studying decolonial environmental journalism practices in Bolivia and Peru, and co-leading Working Group 5 on Public Engagement and Governance for The Lancet Countdown Latin America, which has generated significant media coverage in outlets like CNN and El País.
Dr. Steven A. Miller is a Professor of Psychology in the Department of Psychology at Rosalind Franklin University of Medicine and Science, within the College of Health Professions. He joined RFUMS in 2013 and serves as a statistics consultant for the university. His academic background includes a PhD in Social Psychology from Loyola University Chicago, an M.S. in Psychology from Illinois State University with specialization in Clinical Psychology, and an M.S. in Mathematics from Loyola University Chicago with specialization in Probability and Statistics. PhD in Social Psychology, Loyola University Chicago M.S. in Psychology, Illinois State University (Clinical Psychology specialization) M.S. in Mathematics, Loyola University Chicago (Probability and Statistics specialization) Dr. Miller's research focuses on the intricate relationship between personality characteristics/individual differences and emotional experiences. He investigates anxiety and emotional disorders, social cognitive models of personality, and applies quantitative methodology to psychological questions. His work examines intra-individual variability in emotional responses and how situational factors interact with personality to shape emotional experiences. He employs diverse methodologies including experience sampling studies and laboratory experiments to explore these complex dynamics. His recent publications demonstrate a strong focus on psychopathy, emotion regulation, network analysis of personality, and the tripartite model of anxiety and depression. His work spans clinical, forensic, and general populations, often employing sophisticated statistical techniques. There's a clear trajectory toward more complex modeling approaches including network analysis, longitudinal modeling, and advanced psychometric techniques across his publication history. Accredited Professional Statistician (PStat®) with the American Statistical Association Chartered Statistician (CStat) with the Royal Statistical Society Dr. Miller actively mentors graduate students, with numerous student co-authors appearing in his publications. He teaches advanced statistical courses including multivariate statistics, longitudinal models, and categorical data analysis. He is currently accepting doctoral students for the 2026/2027 academic year. His collaborative research spans multiple institutions including DePaul University and Texas A&M, focusing on emerging adults, romantic relationships, and chronic illness. His research laboratory examines the fundamental relationship between personality and emotion, exploring how situational contingencies and individual expectancies shape emotional responses. Current collaborative projects investigate daily experiences of emerging adults, psychopathy in romantic relationships, and social media use among individuals with chronic illness using diverse methodological approaches.
Patrick Sturt is a Reader in Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on syntactic processing in language comprehension, computational models of incremental parsing, anaphor resolution, and eye movements in reading. With over 100 publications and more than 3,300 citations, he is a recognized expert in psycholinguistics and language processing. Dr. Sturt's research interests span multiple areas of language processing. He investigates how humans comprehend sentences in real-time, with particular focus on syntactic structures, agreement phenomena, and anaphoric reference. His work often employs eye-tracking methodologies to examine the moment-by-moment processing of linguistic information. He has made significant contributions to understanding how readers handle syntactic ambiguities, garden-path sentences, and the role of prediction in language comprehension. His recent publications demonstrate a strong focus on cross-linguistic studies, particularly examining language processing in Mandarin Chinese and Korean. Many of his studies investigate how syntactic and semantic information interact during comprehension, and how linguistic structures like honorifics, classifiers, and non-canonical word orders are processed. His work bridges theoretical linguistics with experimental psycholinguistics, providing empirical evidence for models of sentence processing. Dr. Sturt actively supervises PhD students including Carine Abraham, Wenjia Cai, Chiuchou Hao, Ruomeng Zhu, and Christy Gu. He teaches Psychology of Language 1 and 2 at the MSc level, as well as Data Analysis for Psychology in R for first-year undergraduates. His teaching reflects his research expertise, providing students with both theoretical knowledge and practical analytical skills. Based in Room G29 of the Psychology Building at 7 George Square, Edinburgh, Dr. Sturt maintains regular office hours on Tuesdays from 3-4pm, providing accessibility to students and colleagues. His email address is patrick.sturt@ed.ac.uk.
Dr. Joshua Brinkerhoff is an Associate Professor in Mechanical Engineering at the University of British Columbia Okanagan Campus. He serves as the Associate Director for Research & Industrial Partnerships in the School of Engineering and leads the UBC-Okanagan Computational Fluid Dynamics Laboratory. His research spans computational fluid dynamics, turbomachinery, multiphase flows, hydrogen safety, wind energy, and biofluid mechanics. He teaches courses in mechanics of materials, alternative energy systems, turbulence, computational fluid dynamics, and aircraft design. PhD, Aerospace Engineering (Carleton University, Ottawa, ON) BEng, Aerospace Engineering (Carleton University) Dr. Brinkerhoff’s research interests include: Computational Fluid Dynamics (CFD) for laminar-to-turbulent transition and instability analysis Wind energy systems and turbine aerodynamics Hydrogen storage and safety protocols for transportation Biofluid mechanics for respiratory diseases and aneurysm modeling Multiphase flows in industrial and environmental contexts His publications focus on CFD simulations for: Aerosol dispersion and mitigation in indoor environments Wind farm interactions and atmospheric gravity waves Cavitation and phase transitions in cryogenic and LNG systems Heat transfer optimization in industrial and thermal systems Instability dynamics in buoyancy-driven and swept flows Turbulent structures in fluidized beds and reactors Dr. Brinkerhoff has no listed scientific awards in the provided data but has extensive contributions to renewable energy, hydrogen safety, and medical fluid dynamics. His laboratory develops open-source tools like TOSCA for large-eddy simulations and investigates practical applications in urban air quality, dental aerosol control, and turbine wake modeling.
Anna Weissman is a Political Scientist completing her PhD at the University of California, Berkeley in 2025. She will join the Center for the Study of Democratic Politics at Princeton University as a Postdoctoral Fellow starting September 2025. Her academic home is within the Department of Political Science in the College of Letters and Science at UC Berkeley. PhD, Political Science, University of California, Berkeley (2025) B.A., Political Science, Philosophy, and German, Tufts University Weissman's research focuses on representation, local political economy, and political geography, with specific attention to who holds power in American local governments and how this drives policymaking. Her work examines municipal officials' embeddedness in their communities and the implications for policy outcomes, particularly relating to land use, with special interest in small-town and rural America. Another significant branch of her research investigates attitudes about descriptive representation at the national level. She employs diverse methodological approaches including causal inference designs for observational data, text analysis, and original surveys and survey experiments. Her publication record shows a strong focus on representation and local politics, with articles appearing in top political science journals including the Journal of Politics and the Journal of Political Institutions and Political Economy. Her work demonstrates consistent attention to how representation functions across different political contexts and scales. Research Associate, Political Science Department, MIT (prior to graduate school) Weissman has served as a Graduate Student Instructor and Tutor at UC Berkeley for multiple courses including Decision Analysis and Quant Methods, Politics of Public Policy, Introduction to American Politics, and research methods courses. Her teaching experience spans both graduate and undergraduate levels, demonstrating her commitment to political science education. Her research portfolio includes significant work on local government dynamics, representation, and political behavior, with several publications in prestigious journals and multiple works in progress examining the relationship between place-based attachment and political attitudes.
Tianxi Li is an Assistant Professor in the Department of Statistics at the University of Minnesota, Twin Cities, within the College of Science and Engineering. Their research integrates statistical methodology with applications in network science, data privacy, and biomedical data analysis. Their research interests lie at the intersection of statistics and network science, focusing on statistical modeling of complex networks , data privacy , network security , and biomedical applications such as neuroimaging and genomics. They develop adaptive and scalable methods for network estimation, community detection, and differential correlation analysis. The recent publications demonstrate a consistent focus on advancing statistical tools for network-structured data, with increasing applications in neuroscience and cancer genomics. The work spans theoretical development (e.g., network growth models) and practical applications (e.g., glioblastoma gene modules), reflecting a balance between methodology and real-world impact. Tianxi Li leads an active research program funded by the National Science Foundation, indicating recognition and support for their innovative work. Principal Investigator, Statistical tools for network security protection: from data privacy to threat detection , NSF (2024–2025) They advise graduate students in statistics and data science, though specific advisees are not listed. Their collaborative network includes researchers in biostatistics, computer science, and machine learning, as evidenced by co-authorships and interdisciplinary projects. Li's work contributes to the UN Sustainable Development Goals, particularly through advancements in data-driven solutions for secure and ethical data analysis.
Christina Lee Yu is an Assistant Professor at Cornell University in the School of Operations Research and Information Engineering (ORIE). She holds a PhD and MS in Electrical Engineering and Computer Science from MIT (2017, 2013) and a BS in Computer Science from Caltech (2011). Her research focuses on algorithm design, high-dimensional statistics, causal inference in networks, and reinforcement learning. She is also an Amazon Scholar and has received prestigious awards, including the NSF CAREER Award and Intel Rising Stars Award. Her work is supported by grants from the NSF and Air Force Office of Scientific Research. Education: PhD in EECS, MIT (2017) MS in EECS, MIT (2013) BS in Computer Science, Caltech (2011) Research Interests: Algorithm design and analysis Inference over networks and causal inference Sequential decision making under uncertainty Online learning and reinforcement learning High-dimensional statistics Awards and Honors: NSF CAREER Award (2024) ACM SIGMETRICS Rising Stars Award (2024) Intel® Rising Stars Award (2021) JPMorgan Faculty Research Award (2021) Simons Institute Research Fellow (2020) INFORMS Dantzig Dissertation Award Honorable Mention (2018) Grants and Funding: National Science Foundation (NSF) CAREER Grant Air Force Office of Scientific Research Grant Advising: PhD Students: Sean Sinclair, Tyler Sam, Xumei Xi Collaborators: Mayleen Cortez, Matthew Eichhorn Labs and Collaborations: Member of ORIE, Statistics, CAM, and CS graduate fields at Cornell Amazon Visiting Academic in Fulfillment Optimization (2025)
Noam Berger Steiger is a Professor of Stochastic Processes at the Technical University of Munich (TUM), within the School of Computation, Information and Technology and the Department of Mathematics. His office is located at Parkring 11, Garching bei München, and he can be contacted at noam.berger@tum.de. His research focuses on stochastic processes in random environments, percolation theory, and random walks. Key contributions include asymptotic analysis of preferential attachment graphs, quenched invariance principles for non-elliptic random walks, and slowdown phenomena in ballistic random motion. His work bridges theoretical probability with applications in complex systems. Analysis of his 2012-2014 publications reveals consistent focus on random walk dynamics in disordered media, with significant results on ballisticity conditions, trail detection in random scenery, and distributional limits. His research employs advanced probabilistic techniques published in top-tier journals including Annals of Probability and Probability Theory and Related Fields . Professor Berger has supervised 11 theses: 5 bachelor's theses at TUM covering Brownian motion properties and investment strategies for risk-averse investors, and 6 master's theses (3 at TUM, 3 at Hebrew University) on topics including return times for random walks, mass transport principles, and spin-glass percolation. His current teaching includes Markov Chains, Probability on Graphs, and Brownian Motion seminars. He is an active member of TUM's Probability Theory research group, which participates in the TUM-ICL Mathematical Sciences Hub and Exzellenzcluster MCQST. The group collaborates on quantum science initiatives while maintaining strong foundations in classical probability theory and stochastic analysis.
Cécile Mailler is a Reader in Probability at the University of Bath, where she is a member of the probability group Prob-L@B. She has held significant research positions including an EPSRC postdoctoral fellowship (2018-2021) titled "Random trees: analysis and applications" and previously worked as a postdoc at Prob-L@B (2013-2016) as part of Peter Mörters' EPSRC project "Emergence of Condensation in Stochastic Networks". She earned her PhD under the supervision of Brigitte Chauvin and Danièle Gardy at the Laboratoire de Mathématiques de Versailles. Her research focuses on probability theory with emphasis on branching processes, random trees, reinforcement mechanisms, Pólya urns, stochastic approximation, random networks, and statistical physics. She has made significant contributions to understanding preferential attachment models, zero-range processes, and random Boolean trees. Her work bridges theoretical probability with applications in statistical physics and combinatorics. Analysis of her recent publications shows a strong focus on random tree structures, branching processes, and reinforcement learning algorithms, with applications spanning from network theory to statistical mechanics. Her research demonstrates sophisticated mathematical techniques applied to complex stochastic systems, particularly those with reinforcement mechanisms and memory effects. Associate Editor of the Applied Probability Trust (since October 2020) Associate Editor of Stochastic Processes and Their Applications (since March 2022) Author of a general introduction to Pólya urns for the LMS Newsletter (November 2020) Co-organizer of the "Random Walks: Applications and Interactions" conference at CIRM (January 2026) She actively supervises PhD students working on topics including the multi-city ants process, Pólya urns with growing initial composition, large deviations for the Monkey walk, and competing growth processes. She has secured research funding through EPSRC fellowships and has been involved in multiple collaborative projects with prominent researchers in probability theory. Mailler regularly teaches mini-courses on advanced probability topics at international summer schools and workshops, demonstrating her commitment to knowledge dissemination in the field.
Prof. Dr. Talja Blokland is a Professor of Urban and Regional Sociology at the Institute of Social Sciences within the Faculty of Cultural, Social and Educational Sciences at Humboldt University of Berlin. Based at Universitätsstraße 3b, Room 301, she actively contributes to urban sociological research and teaching, with contact via talja.blokland@sowi.hu-berlin.de. Her position as Women's* representative underscores her institutional engagement beyond academic duties. Bloklund's research centers on urban sociology, examining social inequality, neighborhood dynamics, social capital, public space, and urban diversity through qualitative and ethnographic lenses. She investigates how spatial arrangements shape social interactions, community formation, and exclusionary processes in cities like Berlin, Rotterdam, and São Paulo. Her work emphasizes the lived experiences of marginalized populations and the role of public spaces in mediating urban life, particularly in contexts of migration, segregation, and rapid urban transformation. Analysis of her recent publications reveals a dominant focus on 'urban impasses'—structural deadlocks where inequality becomes entrenched. Her scholarship consistently explores segregation mechanisms, social trust in public spaces, and the impact of policies like lockdowns on urban dwellers. Methodologically, she prioritizes ethnographic approaches to capture nuanced social realities, with recurring attention to Berlin's evolving urban landscape. Key thematic threads include the paradoxes of diversity, the spatial dimensions of social capital, and how marginalized groups navigate urban inequalities through everyday tactics.
Daniel Vanmaekelbergh is a Professor in the Department of Chemistry at Utrecht University, where he leads research in the Condensed Matter and Interfaces group within the Debye Institute for Nanomaterials Science. His academic career spans over two decades with continuous contributions to nanomaterials science and semiconductor physics. Professor Vanmaekelbergh's research focuses on the fundamental properties of semiconductor nanocrystals, quantum dots, and artificial electronic lattices. His work bridges theoretical and experimental approaches to investigate electron transport, quantum confinement effects, and the optical properties of nanoscale materials. He has made significant contributions to understanding the formation mechanisms of nanocrystal superlattices, the electronic structure of artificial honeycomb lattices, and the dynamics of excitons in confined systems. His research group, known as the Vanmaekelbergh Lab, employs advanced techniques including scanning tunneling spectroscopy, electron microscopy, and optical spectroscopy to probe nanoscale phenomena. Analysis of his recent publications reveals a strong emphasis on the physics of quantum-confined systems, particularly in lead chalcogenide and cadmium selenide nanocrystals. His work explores the relationship between nanocrystal structure and electronic properties, with applications in optoelectronics and quantum technologies. Recent research has focused on oriented attachment processes, artificial quantum systems with fractal geometries, and the fundamental limits of light-matter interactions in nanoscale materials. Professor Vanmaekelbergh has established a productive research program with numerous collaborations across the Netherlands and internationally. His work has been published consistently in high-impact journals including Nature Physics, Nano Letters, and ACS Nano, demonstrating the significance of his contributions to the field of nanomaterials science.
Professor Roland J. Pieters is a distinguished academic at Utrecht University's Faculty of Science, where he serves as a full Professor in the Department of Chemical Biology and Drug Discovery. With over two decades of experience at the institution, he has progressed from Assistant Professor (1998) to Associate Professor (2005) and ultimately to Full Professor (2010-present). His research group is internationally recognized for groundbreaking work at the intersection of carbohydrate chemistry, chemical biology, and drug discovery, with particular emphasis on developing novel therapeutic approaches against bacterial infections and pathogenic mechanisms. Full Professor, Utrecht University (2010-present) Associate Professor, Utrecht University (2005-2010) Assistant Professor, Utrecht University (1998-2005) NWO Talent Post-doctoral Fellow, ETH-Zürich (1995-1996) Postdoctoral Researcher, University of Groningen (1996-1998) Professor Pieters earned his M.Sc. in Organic Chemistry from the University of Groningen in 1990, where he worked with Professor Ben Feringa, and completed his Ph.D. at MIT in 1995 under the supervision of Professor Julius Rebek Jr. His doctoral research focused on molecular recognition and template effects in bisubstrate systems, establishing the foundation for his lifelong interest in molecular interactions. Professor Pieters' research primarily centers on glycodrugs and the strategic interference with protein-carbohydrate interactions using multivalent systems of varying architectures. His laboratory has made significant contributions to understanding how rigid spacers in multivalent ligands can dramatically enhance binding affinity to target proteins, with applications against viral and bacterial adhesion proteins, toxins, galectins, and glycosidases. A particular focus has been on developing inhibitors for Pseudomonas aeruginosa lectin LecA, cholera toxin, influenza virus hemagglutinin, and more recently, SARS-CoV-2 spike protein interactions with host cell receptors. His group also pioneered the use of glyco- and peptide-microarrays for high-throughput screening of carbohydrate-protein interactions and drug discovery, particularly in the area of O-GlcNAcylation research. The publication record of Professor Pieters demonstrates consistent innovation in the field of multivalent carbohydrate-based therapeutics. His recent work (2020-2024) shows a strategic expansion into viral pathogenesis (particularly influenza and SARS-CoV-2), immune modulation through glycan recognition, and novel approaches to vaccine development. A notable trend is the increasing sophistication of multivalent architectures, moving from simple divalent systems to tetra- and hexavalent ligands with precisely engineered spatial arrangements. His research bridges fundamental chemical principles with practical therapeutic applications, maintaining strong connections to pharmaceutical development while advancing basic science understanding of carbohydrate-mediated biological processes. Professor Pieters' scientific achievements have been recognized with prestigious awards including a Fellowship from the Royal Netherlands Academy of Arts and Sciences (KNAW) in 1999 and a VICI personal grant from the Netherlands Organisation for Scientific Research (NWO) in 2008. These competitive awards reflect the significance and innovation of his research program. He has also served on editorial advisory boards, notably as Section Editor-in-Chief for Chemical Biology in the journal Molecules (2018-2022), contributing to the scholarly community through peer review and academic leadership. Fellowship of Royal Netherlands Academy of Sciences (KNAW), 1999 VICI, personal grant, NWO, 2008 Section Editor-in-Chief Chemical Biology for Molecules (2018-2022) Throughout his career, Professor Pieters has coordinated significant research projects including the EU project POLYCARB and secured competitive funding that has sustained his innovative research program. His laboratory has fostered numerous collaborations across Europe and internationally, creating a vibrant research environment that has trained many scientists now working in academia and industry. His research on multivalent carbohydrate systems represents a sustained intellectual contribution to chemical biology with direct relevance to developing new anti-infective strategies and therapeutic approaches. Professor Pieters leads an active research group within Utrecht University's Department of Chemical Biology and Drug Discovery, situated in the David de Wied Building. His laboratory maintains strong connections with other research groups both within Utrecht University and internationally, particularly in the fields of glycobiology, infectious diseases, and drug discovery. The research environment he has cultivated emphasizes interdisciplinary approaches, combining synthetic chemistry, biophysical analysis, and biological testing to address fundamental questions in carbohydrate-mediated biological processes with therapeutic applications.
Miriam Steele serves as the Alfred J. and Monette C. Marrow Professor of Psychology at The New School for Social Research and Co-Director of the Center for Attachment Research. Her career bridges psychoanalytic theory with empirical child development research, focusing on attachment transmission across generations and clinical interventions. Her educational background includes a PhD from University College London (1990) and training as an Anna Freud Center psychoanalyst. She is a member of the Adult Attachment Interview Trainers’ Consortium and has co-edited seminal works including the Handbook of Attachment-Based Interventions (2018). Dr. Steele's research centers on intergenerational attachment patterns, with pioneering work establishing 'reflective functioning' as a key mechanism. Her NIH-funded studies examine attachment-based interventions for vulnerable families, while current projects explore body representation transmission, impacts of smartphone use on parent-child relationships, and embodiment in adolescence. She extends this work through interdisciplinary courses like 'Psychology for Designers' that connect psychology with Parsons School of Design. Analysis of her 15 most recent publications reveals sustained focus on longitudinal attachment studies from pregnancy through adolescence, adoption outcomes, and pandemic impacts on family dynamics. Her work increasingly integrates cross-cultural perspectives, as seen in studies of caste systems in India and global mental health frameworks. Notable awards include the 2017 Bowlby-Ainsworth Award from the Center for Mental Health Promotion, a $15,000 New School Research Cluster Award for 'The Body as Metaphor' (2013-2014), and a $900,000 MCH Research Program Award for 'Birth to Three' (2012-2015). As an educator, she teaches 'Child and Adolescent Global Mental Health' and mentors PhD/MA students through the Center for Attachment Research. Her grant portfolio demonstrates strong funding success in intervention development and longitudinal studies, with recent work securing support for digital media impact research. The Center for Attachment Research, co-directed with Howard Steele, operates as a multidisciplinary hub involving NSSR psychology students, Eugene Lang undergraduates, and international interns. Current initiatives include the Group Attachment-Based Intervention (GABI), Body Group studies examining physical disability impacts, and embodiment research in emerging adulthood.
