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Boris LandaView profile

Assistant Professor

• Statistical Signal Processing
• Geometric Data Analysis
• Manifold Learning
• +5 more

Boris Landa is an Assistant Professor in the Department of Electrical & Computer Engineering at Yale University. His research focuses on statistical signal processing and geometric data analysis, developing theoretical and computational tools for analyzing large, complex datasets. He holds a Ph.D. and M.S. from Tel Aviv University, Israel, and a B.S. from the Technion - Israel Institute of Technology. His work bridges computational methods with applications in molecular biology, cryo-electron microscopy, and high-dimensional data analysis. Notable contributions include robust inference of manifold geometry, doubly stochastic scaling techniques, and multi-reference factor analysis for alignment problems. Recent research explores optimal transport metrics for single-cell data and noise stabilization in signal recovery. Landa's publications span prestigious journals such as SIAM Journal on Mathematics of Data Science and Information and Inference. His methodologies address challenges in manifold learning, graph Laplacian normalization, and biological dataset integration. Active areas include developing adaptive algorithms for low-rank signal detection and robust statistical techniques for heterogeneous data. His educational background includes advanced studies in applied mathematics and engineering, with a strong emphasis on interdisciplinary applications. Ongoing projects involve geometric approaches to omics data analysis and scalable solutions for large scientific imaging datasets.

• Database Systems
• Healthcare Information Systems
• Artificial Intelligence
• +5 more

Carlo Combi is a Full Professor at the Department of Computer Science, University of Verona. He serves as Department Director and holds roles in various academic committees, including the Faculty Board of PhD in Computer Science and the Computer Science Teaching Committee. His research focuses on databases, healthcare information systems, temporal data mining, and business process management. He leads the STARS laboratory and has contributed to projects like PREPARE (prostate cancer evaluation) and EDIPO (neuroimaging genetics). His teaching spans courses on biomedical databases, software engineering, and Python programming. Combi's work integrates ethical considerations into process models and addresses challenges in healthcare workflows, temporal analytics, and AI applications in medicine. Education: Not explicitly listed in provided texts. Research Projects: Includes 30+ projects since 2008, emphasizing healthcare informatics, temporal systems, and data warehousing. Labs/Teams: STARS (Semistructured Temporal clinical Geographical Systems) and collaborations with CBMC (Computational Biomedicine Center). Grants: Multiple national/international grants, including funding for temporal data mining and healthcare process modeling. Awards: None explicitly mentioned, though his leadership roles and extensive publications highlight academic recognition. His research bridges clinical processes, temporal databases, and AI, with applications in acute kidney injury prediction, BPMN extensions for healthcare, and explainable AI in medical systems. Combi actively contributes to open-source solutions for clinical data analysis and integrates ethical frameworks into process management.

• Synthetic Biology
• CRISPR-Based Gene Circuits
• Molecular Engineering
• +3 more

Yasu Xu is a Postdoctoral Researcher at the McGovern Institute for Brain Research, part of MIT's renowned Brain and Cognitive Sciences program. Their research focuses on synthetic biology, particularly leveraging CRISPR-Cas systems to engineer programmable gene circuits in Escherichia coli. Xu's work emphasizes the design of bistable genetic toggle switches and plasmid systems with tunable copy numbers, integrating principles from physics and systems biology to improve CRISPR-based circuit performance. Research interests span synthetic biology, gene regulation mechanisms, and microbial engineering with applications in biotechnology and biomedical research. Xu's contributions address challenges in programmable genetic systems, including circuit stability, thermodynamic determinants of CRISPR-Cas interactions, and high-throughput assay development.

Jørgen Ellegaard AndersenView profile

Professor

• Quantum Topology
• Geometric Quantization of Moduli Spaces
• Topological Quantum Field Theory
• +7 more

Jørgen Ellegaard Andersen is a Professor and Center Director at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU), and holds the D-IAS Chair at the Danish Institute for Advanced Study (DIAS). He is also a Distinguished Visiting Professor at the California Institute of Technology since 2013, reflecting his international stature in mathematical sciences. University: University of Southern Denmark School: Faculty of Science Department: Department of Mathematics and Computer Science Position: Professor, Center Director, D-IAS Chair Andersen earned his DPhil in Mathematics from the University of Oxford in 1992, with a thesis on Jones-Witten theory and the Thurston Compactification of Teichmüller space. His research lies at the intersection of quantum theory and geometry, focusing on quantum topology, geometric quantization of moduli spaces, topological quantum field theory, low-dimensional geometry, and applications to RNA and protein folding. His work combines deep mathematical rigor with potential applications in quantum computing and biophysics. The trends in his recent publications show a consistent focus on quantization of moduli spaces, topological recursion, mapping class group representations, and quantum Chern-Simons theory. His work often bridges pure mathematics and theoretical physics, with increasing attention to computational and applied aspects in quantum technologies. ERC Synergy Grant ReNewQuantum (EUR 10m, Principal Investigator) Distinguished Visiting Professor, Caltech Andersen leads major research projects such as ReNewQuantum and TopQC2X, securing significant funding from the EU and Danish agencies. He actively supervises PhD students and collaborates with leading mathematicians worldwide, including Maxim Kontsevich and Bertrand Eynard. His work is frequently highlighted in the media for its potential impact on quantum computing and Danish industry. He is a central figure in the Quantum Mathematics center at SDU and collaborates with institutions like MSRI and the University of Hamburg. His research group is part of international networks focused on geometric and topological methods in quantum theory.

Tenley ConwayView profile

Professor

• Urban Forest Governance
• Human-Environment Interactions
• Geospatial Analysis
• +5 more

Professor Tenley Conway is a faculty member at the University of Toronto Mississauga within the Department of Geography, Geomatics and Environment. Her research focuses on urban forest governance, human-environment interactions, and geospatial analysis of urban ecosystems, with specific interests in environmental justice, green infrastructure, and socio-ecological systems. PhD in Geography from Rutgers University MSc in Geography from Rutgers University BSc in Natural Resources from Cornell University Conway's work integrates environmental geography, urban ecology, and landscape ecology to examine urban forest governance structures, resident engagement with green infrastructure, and the ecological impacts of policy decisions. She employs diverse methodologies including GIS, remote sensing, statistical analyses, and community surveys to address questions about urban tree distribution equity, invasive species management, and the effects of urban greening initiatives. Recent publications demonstrate her focus on quantifying urban forest diversity using national datasets, developing cost-effective canopy monitoring techniques through Landsat imagery, and analyzing the ethical frameworks of arboricultural practices. She has contributed to understanding how invasive pests reshape distributional justice in urban forests and the relationship between tree proximity and subjective wellbeing across Canadian and Australian cities. As associate editor of Urban Forestry and Urban Greening and board member of LEAF and EcoSpark, she actively participates in urban forestry governance discussions. Her HOUSE Laboratory examines human-environment interactions across urban-suburban-exurban gradients, emphasizing community engagement in sustainable urban forest management.

Martin Skovgaard AndersenView profile

Associate Professor

• Optimization
• Signal Processing
• Machine Learning
• +12 more

Martin Skovgaard Andersen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he specializes in Scientific Computing. His research integrates numerical methods, optimization, and machine learning to solve complex computational problems in engineering and data science. Education: Ph.D., University of California, Los Angeles (2006–2011) M.Sc., Aalborg Universitet (2001–2006) Postdoc, Linköping University, Sweden (2011–2012) His research interests include optimization (particularly conic and stochastic programming), numerical algorithms, signal processing, system identification, and fast solvers for integral equations. He works extensively on matrix analysis, regularization, and low-rank approximations, contributing to both theoretical and applied advancements in computational mathematics. The recent publications highlight a strong trend in developing efficient numerical algorithms for large-scale optimization and solving integral equations. His work emphasizes preconditioning, matrix truncation, and Bayesian inversion, with applications in electromagnetics, structural health monitoring, and network identification. There is a consistent focus on improving computational efficiency and scalability of solvers. Scientific Awards: No specific awards mentioned in the provided text. Andersen actively supervises PhD students and leads multiple research projects, including those on non-symmetric conic optimization, data-sparse models, and fast direct solvers. He is the Principal Investigator (PI) on projects related to physics-informed structural health assessment. His collaborative network spans Denmark and international institutions, particularly in computational mathematics and engineering. Labs and Research Teams: He is affiliated with the Scientific Computing section at DTU, which focuses on high-performance computing, numerical algorithms, and mathematical modeling. His work is embedded in a collaborative environment involving researchers in optimization, control theory, and computational electromagnetics.

Christopher JanjigianView profile

Assistant Professor

• Mathematical Physics
• Probability Theory
• Random Walks in Random Environments
• +3 more

Christopher Janjigian is an Assistant Professor in the Department of Mathematics at Purdue University, specializing in probability theory with a focus on random walks in random environments, KPZ universality class phenomena, and stochastic partial differential equations. He holds a Ph.D. from the University of Wisconsin-Madison (2016) and has held postdoctoral positions at Université Paris Diderot (2016–2017) and the University of Utah (2017–2020). His research explores the infinite volume structure of random walks in random potentials and connections to models like the Kardar-Parisi-Zhang equation. He organizes the Purdue University Probability Seminar and has taught advanced courses including Stochastic Processes, Probability Theory, and Stochastic Calculus. His work bridges theoretical probability with applications in mathematical physics, emphasizing geometric and dynamic properties of stochastic systems. Recent research focuses on geodesic structures in percolation models, Busemann functions, and ergodic properties of directed polymer models. His articles investigate topics like exit point bounds in last-passage percolation and synchronization in the KPZ equation, contributing to the understanding of universal behaviors in stochastic systems.

Eyal LubetzkyView profile

Professor

• Probability Theory
• Combinatorics
• Graph Theory
• +3 more

Eyal Lubetzky is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University, and an affiliate Associate Professor at the University of Washington's Mathematics Department since 2008. He holds a PhD from Tel-Aviv University (2007), supervised by Noga Alon, and completed postdoctoral research at Microsoft Research. His research focuses on Probability Theory, Combinatorics, and their applications to statistical physics and theoretical computer science. Key areas of research include phase transitions in statistical mechanics, mixing times of Markov chains, and probabilistic combinatorics. He has received prestigious awards such as the AMS Centennial Fellowship (2016–2017), Rollo Davidson Prize (2013), and fellowships from the American Mathematical Society and Institute of Mathematical Statistics. Lubetzky has mentored numerous interns and serves on editorial boards of journals like Probability and Mathematical Physics and Communications in Pure and Applied Mathematics . His teaching includes advanced courses on probability theory, stochastic processes, and spin glass dynamics. Collaborative work spans interdisciplinary topics, including percolation, random graphs, and the interplay between combinatorial structures and probabilistic models. His research outputs address foundational questions in statistical mechanics, such as cutoff phenomena in Glauber dynamics, interface fluctuations in Ising/Potts models, and the geometry of SOS surfaces. He has also contributed to understanding phase transitions in random media and the dynamics of complex systems.

Kate SmithView profile

Assistant Professor

• Quantum Computing
• Computer Architecture
• Quantum Compilation
• +5 more

Kate Smith is an Assistant Professor of Computer Science at Northwestern University, affiliated with the McCormick School of Engineering. She holds a PhD in Electrical Engineering from Southern Methodist University (SMU), along with MS and BS degrees in Electrical Engineering and Mathematics from the same institution. Her research focuses on quantum computing, specifically in system architecture, optimized compilation, error mitigation, and security. Prior to joining Northwestern in 2024, she worked at Infleqtion managing the Superstaq compiler team and as a postdoctoral scholar at the University of Chicago under the CQE/IBM program. She has contributed to over 25 peer-reviewed publications and served on technical committees for major conferences like MICRO, ISCA, and DAC. Education: SMU (PhD 2019, MS 2015, BS in EE/Math 2014). Professional experience includes roles at EPFL (Switzerland), Texas Instruments, and the Darwin Deason Institute for Cyber Security. Her honors include the 2022 HPCA Best Paper Award, MIT EECS Rising Star (2021), and the IEEE TC-MVL Early Career Award (2021). Research interests span quantum compilation, distributed systems, qudit processing, and quantum security. She co-organized the 2023 CCC Workshop on Next Steps in Quantum Computing and chaired the 2022 ISMVL conference. Her work emphasizes bridging hardware-software gaps to enable scalable quantum systems. Grants and collaborations include the EPiQC group at the University of Chicago and projects funded by the Swiss NSF. Teaching experience includes courses on quantum computing fundamentals and digital design at SMU, University of Chicago, and adjunct roles.

Karen Appleyard CarmodyView profile

Associate Professor

• Infant Mental Health
• Child-Parent Attachment
• Early Childhood Trauma
• +3 more

Karen Appleyard Carmody is an Associate Professor in the Department of Psychiatry and Behavioral Sciences at Duke University and holds a concurrent appointment as Associate Professor of the Practice in Psychology and Neuroscience at Trinity College of Arts & Sciences. She serves as Deputy Director of the Duke National Center for Child Traumatic Stress (NCCTS). Her work focuses on infant mental health, child-parent attachment, early childhood trauma, and evidence-based interventions for vulnerable families. Dr. Carmody earned her PhD from the University of Minnesota. She has held previous roles including Assistant Professor in Psychiatry and Behavioral Medicine and Clinical Associate in Psychiatry at Duke. Her research examines trauma prevention, resilience in families experiencing homelessness, and implementation of evidence-based parenting programs such as Attachment and Biobehavioral Catch-up (ABC). Her recent publications highlight innovations in child maltreatment response during the pandemic, resilience-building interventions for homeless families, and scaling up effective parenting programs. She has received awards including the 2012 Early Career Award from APA's Division 37 for contributions to child maltreatment research. Dr. Carmody leads the NCCTS research team and collaborates with institutions like Johns Hopkins University through the Home Visiting Applied Research Collaborative (HARC). She teaches courses in clinical psychology and has secured grants including a 2021-2026 award from UCLA's National Center for Child Traumatic Stress.

Elizabeth T PowersView profile

Associate Professor

• Public Economics
• Social Insurance
• Poverty and Inequality
• +4 more

Elizabeth T. Powers is an Associate Professor in the Department of Economics at the University of Illinois at Urbana-Champaign (UIUC), serving as Director of Undergraduate Programs. She holds affiliations with the Institute of Government & Public Affairs (Partnering Scholar), Family Resiliency Center, and Center for the Study of Global Gender Equity. Her research focuses on public policy impacts on well-being, caregiving systems, child development, and gender disparities in economics education. Dr. Powers earned her Ph.D. from the University of Pennsylvania and B.A. from Vassar College. Prior roles include economist positions at the Federal Reserve Bank of Cleveland and U.S. Council of Economic Advisers. Her work has influenced policy decisions, including Supreme Court rulings on caregiver labor disputes and state-level childcare regulations. She has conducted groundbreaking studies on childcare program efficacy during crises, gender participation in economics fields, and long-term care workforce challenges. Current projects address childcare infrastructure resilience and parental decision-making. Her research has been supported by grants from institutions like the Joint Centers for Poverty Research and Michigan Retirement Research Center. Awards include recognition for policy-relevant scholarship, though no explicit awards are listed. Public service includes data analysis for Illinois Department of Human Services and expert testimony in critical social welfare cases.

Drew FudenbergView profile

Professor

• Behavioral Economics
• Economic Theory
• Industrial Organization
• +7 more

Drew Fudenberg is the Paul A. Samuelson Professor of Economics at MIT, where he has made significant contributions to economic theory, game theory, and behavioral economics. He received his A.B. in applied mathematics from Harvard College in 1978 and his Ph.D. in economics from MIT in 1981. His research focuses on several key areas: Game theory, including foundational work on learning and equilibrium, repeated games, and reputation effects Theoretical industrial organization, analyzing competition between firms and market dynamics Behavioral economics and decision theory, particularly self-control and stochastic choice Fudenberg's recent publications reveal a continued focus on learning under misspecification, strategic behavior in complex environments, and the intersection of behavioral economics with traditional game theory. His work often combines theoretical rigor with practical applications to real-world economic phenomena. His notable scientific achievements include: Fellow of the Econometric Society (and President in 2017) Member of the National Academy of Sciences Member of the American Academy of Arts and Sciences Recipient of fellowships from the Guggenheim Foundation and Alfred P. Sloan Foundation Past editor of Econometrica Co-founder of the open access journal Theoretical Economics Fudenberg has advised numerous doctoral students who have gone on to prestigious academic and industry positions. His research has been supported by various grants throughout his career, though specific grant details are not provided in the source material. He has also authored four influential books in his field.

Mariana K. FalconierView profile

Professor

• Dyadic Chronic Stress and Coping
• Economic Stress
• Immigration Stress
• +6 more

Mariana K. Falconier is a Professor in the Department of Family Science at the University of Maryland, College Park, and Director of the Couple and Family Therapy Master's Program. She holds a PhD and MS in Family Studies from the University of Maryland, alongside a Licentiate in Psychology from the University of Buenos Aires. Her work integrates clinical practice with research on couple dynamics under chronic stress, particularly focusing on economic, immigration, medical, and minority stressors among marginalized groups such as low-income, Latine, and LGBTQ+ populations. Educations: PhD in Family Studies, University of Maryland, College Park (2005) Master’s in Marriage and Family Therapy (MFT), University of Maryland, College Park (2002) Licentiate in Psychology (equivalent to MA Psychology), University of Buenos Aires (1992) Research Interests: Dr. Falconier’s work centers on dyadic coping mechanisms, economic and immigration-related stress mitigation, and culturally adapted interventions for underserved populations. She has developed the evidence-based TOGETHER/JUNTOS en PAREJA program, which integrates relationship and financial education, funded over $11 million federally and adapted for Latine immigrant and LGBTQ+ couples. Her research emphasizes emotional co-regulation, intersectional stress frameworks, and program evaluation methodologies. Grants & Awards: Recipient of the National Council for Family Relations’ Excellence in Professional/Clinical Practice Award and the George F. Kramer Practitioner of the Year Award. Over $11 million in federal grants have supported her program development and evaluation efforts. Teaching & Leadership: Taught nationally and globally in multicultural MFT, couple therapy, and post-modern approaches. Directed the Virginia Tech Center for Family Services (2008-2016) and the MFT Master’s Program (2017-2018). Currently teaches courses on gender/ethnicity in family services, couple therapy, and clinical supervision. International Impact: Collaborations in Switzerland, Romania, Italy, Hungary, Pakistan, and Chile. Presented at the Vatican City on family stress and coping for Pope Francis and the Pontifical Academy of Social Sciences. Editor of Couples Coping with Stress: A Cross-Cultural Perspective (2016) and co-author of Treatment Plans and Interventions in Couple Therapy (2024). Labs & Teams: Active in the Center for Healthy Families and the Department of Family Science’s interdisciplinary initiatives.

Gary W. RitterView profile

Professor

• Education Policy
• Teacher Quality and Training
• School Discipline Practices
• +3 more

Gary W. Ritter is the Dean and Professor of Education at Saint Louis University's School of Education. He holds a Ph.D. in Education Policy and Leadership from the University of Pennsylvania, an M.A. in Public Policy and Management from the Wharton School, and additional degrees from the University of Manchester and John Carroll University. His research focuses on education policy, including teacher quality, school discipline disparities, and the impacts of charter schools and college access programs like the El Dorado Promise Scholarship. Ritter has conducted randomized experiments evaluating interventions such as college campus visits and has authored influential studies on disciplinary policies and equity in Arkansas schools. Education: Ph.D., Education Policy and Leadership, University of Pennsylvania M.A., Public Policy and Management, University of Pennsylvania (Wharton) M.A., Social Policy, University of Manchester B.A., Finance, John Carroll University Key Research Areas: Access to postsecondary education for low-income students Teacher pay, training, and retention strategies School discipline reform and racial disparities Charter school policies and integration outcomes Publications: Over 50 peer-reviewed articles and book chapters on education policy topics Lead author of studies on the El Dorado Promise Scholarship and KIPP schools Grants & Collaborations: Extensive work with educational institutions and policymakers Focus on translating research into actionable policy recommendations

Lina GyllencreutzView profile

Associate Professor

• Emergency Medicine
• Disaster Preparedness
• Mass Casualty Incidents
• +5 more

Lina Gyllencreutz is an Associate Professor at Umeå University's Department of Nursing in Örnsköldsvik. Her research focuses on emergency medicine, disaster preparedness, and prehospital care, with particular emphasis on mass casualty incidents, chemical incidents, and tunnel safety protocols. She actively contributes to interdisciplinary emergency training programs and has published extensively on simulation-based learning and first responder decision-making. Research Interests: Dr. Gyllencreutz specializes in Emergency medical response Disaster preparedness Mass casualty incident management Chemical incident protocols Tunnel safety training Simulation-based education Publications Trends (2023-2025): Recent work demonstrates a strong focus on improving first responder capabilities through technology-enhanced training, developing assessment tools for disaster preparedness, and analyzing multi-agency collaboration in complex emergency scenarios. Key themes include tunnel incident decision-making, chemical incident response, and mixed reality training applications. Collaborative Networks: Dr. Gyllencreutz regularly collaborates with Umeå University's Department of Diagnostics and Intervention, Center of Disaster Medicine, and international researchers from institutions like Oslo University and Australian safety organizations.