جستجوی استاد راهنمای دانشگاهی

Matthias Stürmerمشاهده پروفایل

استاد

• Digital Sustainability
• Artificial Intelligence
• Natural Language Processing (NLP)
• +۴ مورد دیگر

Matthias Stürmer is a Professor at Bern University of Applied Sciences (BFH) and Head of the Institute for Public Sector Transformation (90%) while also serving as Head of the Digital Sustainability Research Center at the University of Bern's Institute of Computer Science (10%). His roles include teaching, research, and consulting on digitalization topics such as digital sustainability, open source software, AI, NLP, open data, and public procurement. He earned a Dr. sc. ETH Zurich in 2009 and habilitation in 2020. His career includes senior roles at EY and Liip AG, and he holds leadership positions in organizations like CH Open and the Parliamentary Group for Digital Sustainability. **Education**: PhD (ETH Zurich, 2009), Licentiate in Business Administration (University of Bern, 2005). Studies included computer science and business administration, with an Erasmus semester at the University of Oviedo (Spain). **Research Interests**: Focus on digital sustainability, digital sovereignty, AI ethics, open source governance, smart cities, and public procurement strategies. His work bridges technical innovation with public sector challenges, emphasizing long-term societal benefits over short-term vendor dependencies. **Publications**: Over 38 peer-reviewed articles and book chapters, including foundational work on digital sustainability frameworks, open government data impact analysis, and collaborative innovation models. Recent focus areas include data colonialism risks and sustainable environmental data management. **Awards**: While no explicit awards listed, his leadership roles and prolific publications highlight recognition in academic and policy circles. **Advising & Grants**: Advises on public sector digitalization policies, contributes to Swiss federal IT strategies, and leads research projects funded by organizations like the University of Bern. Active in shaping Open Source adoption policies for public institutions. **Labs/Teams**: Directs the Research Center for Digital Sustainability at the University of Bern, collaborating with industry and government partners on projects like the Open Data Impact Framework and Open Finance initiatives.

Laila Shereen Sakrمشاهده پروفایل

استادیار

• Art & Technology
• Media Theory/Practice
• Algorithmic Culture
• +۹ مورد دیگر

Laila Shereen Sakr is an Assistant Professor of Film & Media Studies and Faculty Affiliate in Feminist Studies at the University of California, Santa Barbara. She co-founded Wireframe, a digital media studio focusing on critical game design, data visualization, VR/AR, and digital activism. Her research explores algorithmic culture, media theory/practice, and feminist Middle East studies through creative coding, data visualization, and immersive worldbuilding. Key projects include the VJ Um Amel data-body and R-Shief software system. Education: PhD in Media Arts + Practice (USC), M.F.A. in Digital Arts (UC Santa Cruz), M.A. in Arab Studies (Georgetown). Research interests span technocultural intersections, digital humanities, and global human rights. Her work examines social media's role in shaping virtual political identities and has been exhibited globally (e.g., SF MoMA, Jordan National Gallery of Art). She co-edits Media Theory and After Video , and collaborates with MIT's Global Media Technologies & Cultures Lab. Publications analyze Arab Spring media dynamics, digital dissidence in MENA, and feminist digital praxis. Her work has been featured in The Wall Street Journal , Science , and The Guardian . Her creative research bridges art and activism, emphasizing open-source Arabic localization. Current projects explore the ethical implications of data-driven narratives in post-revolutionary contexts.

Matthew Jenssenمشاهده پروفایل

دانشیار

• Discrete Probability
• Probabilistic/Extremal Combinatorics
• Statistical Physics
• +۵ مورد دیگر

Matthew Jenssen is a Reader in Probability at King's College London and a UKRI Future Leaders Fellow. He holds a BA and MMath from the University of Cambridge (2012–2013) and a PhD from the London School of Economics (supervised by Jozef Skokan and Julia Boettcher). His research focuses on the intersection of combinatorics, statistical physics, and theoretical computer science, particularly on large-scale structure formation in systems with local interactions. Notable contributions include advancements in sphere packing, Ramsey numbers, and random matrix theory. Jenssen has held postdoctoral positions at the University of Oxford and the University of Birmingham before joining King’s in 2023. His research group at King’s explores discrete probability, extremal combinatorics, and algorithms, with applications to statistical physics and high-dimensional geometry. Key achievements include a groundbreaking improvement on sphere packing lower bounds and resolving extremal questions in graph theory. Jenssen’s work often bridges combinatorial theory with computational methods, yielding impactful results in probabilistic combinatorics. Scientific awards include the UKRI Future Leaders Fellowship (2020). His grants include a 2023–2026 project on statistical physics methods in combinatorics and geometry. Jenssen collaborates widely, with notable co-authors including Will Perkins, Jozef Skokan, and Felix Joos. He is actively involved in the Probability Group at King’s and contributes to international conferences and arXiv publications.

Karin H. Jamesمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Developmental Psychology
• Brain and Behavior
• +۵ مورد دیگر

Karin H. James is a Professor and Director of Graduate Studies in the Department of Psychological and Brain Sciences at Indiana University Bloomington's College of Arts and Sciences, actively reviewing applications for Fall 2026 admissions. Her research program investigates how self-generated actions shape cognitive development through neural mechanisms. Her educational background includes: Post Doctoral Fellow, Vanderbilt University (2001-2003) Ph.D. in Psychology, University of Western Ontario (2001) M.A. in Psychology, University of Western Ontario (1998) B.S. in Psychology, University of Toronto (1996) B.A. in History, University of Toronto (1991) Dr. James' research centers on the neural correlates of learning, specifically how motor experience influences visual recognition across domains including object recognition, reading acquisition, language learning, and mathematical understanding. Using fMRI and behavioral methods, she examines how sensorimotor interactions during symbol production (e.g., handwriting) reconfigure brain networks for perception. Her work demonstrates that visual-motor contingency during learning creates lasting neural changes that enhance recognition, with implications for educational practices in literacy and numeracy development. Analysis of her 2018-2021 publications reveals consistent focus on embodied cognition principles, particularly how action-perception loops establish neural representations. Key themes include gesture-based learning in mathematics, visual-motor integration in symbol recognition, and category formation mechanisms, bridging cognitive neuroscience with developmental psychology through innovative methodologies like the MRItab neuroimaging tool. Dr. James maintains active membership in the Society for Research in Child Development (2007-present), Cognitive Neuroscience Society (2004-present), and Vision Sciences Society (2000-present), reflecting her interdisciplinary approach to learning mechanisms. As Director of Graduate Studies, she oversees program development and student mentorship while leading the Cognition and Action Neuroimaging Lab. Her research infrastructure includes specialized neuroimaging tools developed for naturalistic experimental paradigms, supporting investigations into how embodied experiences shape cognitive architecture from childhood through adulthood. The Cognition and Action Neuroimaging Lab develops cutting-edge methodologies like the MRItab touchscreen system to study naturalistic learning during fMRI scanning, focusing on how sensorimotor experiences during symbol production reconfigure neural networks for perception and recognition across developmental stages.

• Insurance
• Risk Management
• Behavioral Economics
• +۴ مورد دیگر

Professor Christian Biener is a faculty member at the University of St. Gallen, affiliated with the School of Economics and Political Science and the Department of Economics. His research focuses on insurance economics, behavioral economics, and risk management, with particular emphasis on topics like cyber risk, microinsurance, health insurance design, and the societal impacts of emerging technologies such as chatbots and telematics. He holds a prominent role in academic and industry discourse through his extensive publication record and contributions to policy-relevant research. Biener’s work bridges theoretical economic analysis with practical applications, addressing challenges in global insurance markets, pandemic response strategies, and the interplay between technological innovation and human behavior. His research has explored how factors like microbiome composition influence economic decision-making, the ethical implications of contact-tracing apps, and the design of effective reinsurance strategies. He actively engages with industry trends, advising on future skills requirements in reinsurance and the balance between privacy and risk hedging in digital environments. His scholarly output spans over a decade, with recent trends emphasizing behavioral aspects of insurance decisions, the impact of global events on healthcare costs, and the transformational role of technology in insurance products. Biener’s articles consistently analyze both micro-level individual decision-making and macro-level market dynamics, offering insights that inform both academic theory and policy formation. While no formal awards are explicitly mentioned, his prolific publication record and institutional affiliation suggest significant recognition within the field. Biener’s work often incorporates experimental methodologies, such as randomized controlled trials, to empirically validate theoretical models. He collaborates across disciplines, integrating insights from psychology, computer science, and public health into his economic analyses. Biener’s current research agenda includes investigating the insurability of novel risks (e.g., cyber threats), optimizing microinsurance programs in emerging markets, and analyzing non-cognitive skills’ role in post-crisis economic recovery. He leads projects at the Institute for Economics (IVW) at HSG, contributing to both academic and applied research initiatives.

Yuebing Zhengمشاهده پروفایل

استاد

• Nanophotonics
• Optical Nanotechnologies
• Advanced Materials Science
• +۷ مورد دیگر

Yuebing Zheng is a Professor of Mechanical Engineering & Materials Science and Engineering at the University of Texas at Austin, holding the Cullen Trust for Higher Education Endowed Professorship. He leads a research group innovating optical nanotechnologies for applications in health, energy, and manufacturing. His work focuses on light-matter interactions, optically active materials, and interdisciplinary training. Key roles include Graduate Advisor for the Materials Science Program and past leadership as Associate/Assistant Professor since 2013. Education: PhD in Engineering Science and Mechanics (2010), Penn State University Postdoctoral Researcher (2010-2013), UCLA (Chemistry and Biochemistry) MSc in Physics (2003), National University of Singapore BSc in Physics (2001), Nankai University Research Interests: Optical manipulation technologies (e.g., optothermal tweezers) Nanophotonics and metamaterials Machine learning for materials discovery Biomedical applications (e.g., cell analysis, chiral sensing) Clean energy systems Recent Article Trends: Focus on AI-driven materials design, optothermal microrobotics, and advanced optical systems for energy and biomedical applications. Key innovations include photonic batteries, graphene moiré systems, and steerable active particle swarms. Awards: 2025 SPIE Fellow 2024 Optica Fellow 2017 NIH New Innovator Award 2014 Beckman Young Investigator Multiple best paper awards (2019–2023) Advising & Grants: Supervised over 20 PhD students/postdocs. Active grants from NIH, NSF, ONR, NASA, and industry partnerships. Current lab focuses on optical manipulation, metamaterials, and AI-integrated nanotechnology. Labs/Teams: Director of the Zheng Research Group, affiliated with the Texas Materials Institute. Collaborates on projects merging nanoscience with machine learning and biomedical engineering.

Ruth L. Okedijiمشاهده پروفایل

استاد

• International Intellectual Property Law
• Patent Policy
• Copyright Law
• +۶ مورد دیگر

Ruth L. Okediji is the Jeremiah Smith Jr. Professor of Law at Harvard Law School and Co-Director of the Berkman Klein Center for Internet & Society. She holds LL.B. from the University of Jos (1989), LL.M. (1991), and S.J.D. (1996) from Harvard Law School. Her research focuses on international intellectual property law, particularly its role in social and economic development. She advises intergovernmental organizations like WIPO and the UN on IP policy, with notable roles including leading Nigeria’s delegation to the 2013 Marrakesh VIP Treaty negotiations. Key roles: WIPO negotiator, UN High-Level Panel on Access to Medicines member Teaching: Contracts, Intellectual Property, and Global Law at Harvard and international institutions Research interests include IP’s impact on access to medicines, traditional knowledge protection, and digital rights. Her work bridges law and development, emphasizing equitable knowledge governance. Recent publications address pharmacoequity, biotechnology ethics, and copyright exceptions for disability access. Awards: Stanley V. Kinyon Award, Regents Superior Teaching Award Grants: NIH-funded pharmacoequity studies, UNDP IP policy projects She advises doctoral programs globally and mentors scholars in IP and development. Her advocacy includes efforts to reform global IP rules for equitable access to vaccines and medicines.

Erik Hjalmarssonمشاهده پروفایل

استاد

• Empirical Finance
• Financial Econometrics
• Empirical Asset Pricing
• +۴ مورد دیگر

Erik Hjalmarsson is a Professor of Banking and Financial Economics at the Department of Economics, University of Gothenburg. He holds the Felix Neubergh Chair and previously served as Director of the Centre for Finance. His research focuses on empirical asset pricing, financial econometrics, and long-run stock returns. Hjalmarsson earned his PhD from Yale University and has held roles at the Federal Reserve Board and Winton Capital Management. Education: PhD (Yale University, 2005), M.Sc. in Econometrics (London School of Economics, 2000), B.Sc. in Mathematical Statistics (University of Gothenburg, 1999). Research interests include stock return predictability, high-frequency trading, and econometric methods. His work has been published in top journals like the Journal of Finance and Journal of Financial Economics . Key grants include funding from the Swedish Research Council and Marianne and Marcus Wallenberg Foundation. Awards include the Carl Anderson Prize (2004) and multiple stipends for doctoral education. He supervises PhD students and advises on central bank policies. His recent studies explore long-horizon returns, inflation expectations, and portfolio strategies. Teaching includes PhD courses in econometrics and financial economics. He serves on editorial boards and as a referee for leading journals.

David G. Randمشاهده پروفایل

استاد

• Behavioral Economics
• Psychology
• Decision-Making
• +۵ مورد دیگر

David G. Rand is the Erwin H. Schell Professor of Management Science and Brain and Cognitive Sciences at MIT, with affiliations to the MIT Institute for Data, Systems, and Society and the Initiative on the Digital Economy. His research bridges behavioral economics and psychology, focusing on decision-making dynamics between intuitive and deliberate processes, particularly in contexts of cooperation, misinformation, political behavior, and social media. He holds a B.A. in Computational Biology from Cornell University (2004) and a Ph.D. in Systems Biology from Harvard University (2009), followed by a postdoc in Harvard’s Psychology Department. Before MIT, he served as an Assistant and then Associate Professor at Yale University. Rand’s work explores how intuitive biases and cognitive shortcuts shape beliefs about false news, political preferences, and social media behavior. His interventions using AI-driven dialogues and accuracy prompts have shown promise in reducing conspiracy beliefs and misinformation sharing. He has received prestigious awards, including the Arthur Greer Memorial Prize (2015) and recognition from the Poynter Institute (2017). His articles frequently address misinformation mitigation, AI applications, and polarization, appearing in top journals like Nature , Science , and Psychological Science . He also engages the public through popular media outlets like The New York Times and Wired . Rand leads the Applied Cooperation Team, a research group exploring cooperation and prosocial behavior. His work emphasizes scalable solutions to societal challenges through behavioral science and technology.

Thomas Lemieuxمشاهده پروفایل

استاد

• Labor Economics
• Econometrics
• Income Inequality
• +۴ مورد دیگر

Thomas Lemieux is a Professor at the Vancouver School of Economics within the Faculty of Arts at the University of British Columbia , where he has been affiliated since 1999. Previously, he taught at MIT and the Université de Montréal. Born in Quebec City, he earned his Ph.D. from Princeton University. Research Interests: His work focuses on labor economics and econometric methods , particularly analyzing earnings inequality , unionization effects , regression discontinuity designs , and educational returns . He employs advanced decomposition techniques to study wage dynamics across gender, immigration status, and sectoral divides. Scientific Awards: Fellow, Royal Society of Canada Fellow, Society of Labor Economists Research Fellow, Institute for the Study of Labor (IZA) Research Associate, National Bureau of Economic Research (NBER) Publications: He has published extensively in top journals like the Quarterly Journal of Economics , Econometrica , and Journal of Labor Economics , with recent work examining: Union wage premiums using matched employer-employee data Spillover effects of minimum wage policies Changes in task prices and occupational wages Top income dynamics in Canada Immigrant wage gaps across education sources Regression discontinuity identification challenges Canadian labor market responses to the Great Recession

David Eltisمشاهده پروفایل

استاد مدعو

• Atlantic World
• Slavery
• Transatlantic Slave Trade
• +۴ مورد دیگر

David Eltis serves as an Adjunct Professor in the Department of History at Emory University, where he focuses on the early modern Atlantic World, particularly slavery and migration patterns. His distinguished career spans several decades with significant contributions to understanding the transatlantic slave trade through quantitative and historical analysis. Dr. Eltis earned his BA from Durham University (1962), BEd from Dalhousie University (1965), MA from the University of Alberta (1969), and PhD from the University of Rochester (1979). His educational background provided the foundation for his specialized research in economic history and the Atlantic slave trade. His research primarily centers on the early modern Atlantic World, with particular emphasis on slavery systems, the transatlantic slave trade, and migration patterns (both coerced and free). Eltis has pioneered quantitative approaches to studying the slave trade, developing extensive databases that have transformed scholarly understanding of the scale, structure, and economic dimensions of this historical phenomenon. His work examines the demographic impact of slavery, the economic forces driving the trade, and the experiences of enslaved Africans. Eltis's publications demonstrate a consistent focus on quantitative analysis of the transatlantic slave trade, with increasing emphasis on digital humanities approaches in his later work. His research has evolved from broader economic analyses of slavery's role in Atlantic development to more specific studies of individual regions, trade routes, and the experiences of liberated Africans. The integration of database methodologies with traditional historical analysis represents a significant contribution to the field. British Trevor Reese Memorial Prize (for Economic Growth and The Ending of the Transatlantic Slave Trade ) Frederick Douglass Prize John Ben Snow Prize Wesley-Logan Prize (for The Rise of African Slavery in the Americas ) John T. Hubbell Prize for best article in Civil War History (2008) W.E.B. Dubois Medal from Harvard (2025) Dr. Eltis has received significant research funding, including a two-year NEH grant for his collaborative project on the origins of Africans in the transatlantic slave trade. This project analyzes records of 67,000 Africans liberated from slave vessels in the 19th century. He serves as co-editor of the influential Transatlantic Slave Trade database at www.slavevoyages.org, which represents one of the most comprehensive digital resources on this historical phenomenon. While specific student mentorship isn't detailed in the available information, his extensive publication record suggests he has likely advised numerous graduate students throughout his career. As principal investigator of the NEH-funded project analyzing liberated African records and co-editor of the Transatlantic Slave Trade database, Eltis leads significant collaborative research efforts. These projects involve international teams of scholars working with historical records from multiple archives to reconstruct the experiences and origins of enslaved Africans. His work bridges traditional historical research with digital humanities methodologies, creating resources that benefit scholars across multiple disciplines.

• Urban Geography
• International Migration
• Ethnic Studies
• +۴ مورد دیگر

Wei Li is a Professor at Arizona State University's School of Geographical Sciences and Urban Planning. She also holds affiliations with the School of Social Transformation, SPARC (Spatial Analysis Research Center), Global Futures Scientists and Scholars, Center for Asian Research, and the U.S. Census Bureau's advisory committees on Asian populations. Her research focuses on urban ethnicity, transnational migration, and minority community development, particularly among Chinese and Asian groups in the Pacific Rim. She pioneered the concept of 'ethnoburb' to describe suburban Asian settlements and has conducted extensive studies in Los Angeles, Toronto, and Metropolitan Phoenix. Li's education includes a Ph.D. in Geography from the University of Southern California (1997), an M.S. from Peking University (1985), and a B.S. from Beijing Normal College (1982). She has been funded by prestigious institutions like the National Science Foundation, Fulbright Foundation, and the Rockefeller Foundation. Her work explores intersections of migration, race, and economics, with notable projects on Hurricane Katrina's impact on minority communities and the role of ethnic financial sectors in community development. Her research interests are structured around migration analytics, ethnic geographies, and globalization's socio-spatial effects. Key focuses include skilled migration pathways, returnee dynamics, and the co-movement of people and capital. Li emphasizes transnationalism and how diaspora communities reshape urban landscapes and economies. Li’s articles collectively analyze migration trends, community resilience, and policy implications, reflecting her expertise in migration studies, urban sociology, and cultural geography. She has been recognized with major awards like the AAG’s Ronald F. Abler Distinguished Service Honors and the Distinguished Ethnic Geography Career Award. In advising, Li has no listed advisees but has mentored through institutional roles and grants. Her grants include studies on Asian American communities, diaspora banking, and post-disaster migration. Li’s contributions extend to policy commentary on attracting skilled migrants to China and comparative analyses of India and Chinese diasporas. She leads SPARC’s spatial analysis initiatives and chairs the International Metropolis Project’s steering committee. Her work bridges academia and public service, including roles in the Woodrow Wilson Center and National Bureau of Asian Research.

Lynn Kistlerمشاهده پروفایل

استاد

• Plasma Physics
• Space Weather
• Magnetospheric Dynamics
• +۳ مورد دیگر

Lynn Kistler is a Professor in the Department of Physics & Astronomy at the University of New Hampshire (UNH), part of the College of Engineering and Physical Sciences. Her research focuses on plasma physics, space weather, and magnetospheric dynamics, particularly investigating the interactions between the solar wind and Earth's magnetosphere-ionosphere system. She holds a Ph.D. in Physics from the University of Maryland, along with a B.S. from Harvey Mudd College. Dr. Kistler's work emphasizes understanding plasma processes such as ion outflow from the ionosphere, magnetic reconnection, and storm-time magnetospheric evolution. She has led studies using data from missions like the Van Allen Probes, Solar Orbiter, and Cluster, contributing to advancements in instrumentation (e.g., the SWA suite) and computational modeling. Her research bridges observational analysis, theoretical frameworks, and machine learning to address challenges in space weather prediction and plasma dynamics. Key areas of her research include the role of ionospheric ions (O⁺, H⁺) in plasma sheet dynamics, the effects of geomagnetic storms on ring current formation, and the behavior of heavy ions in near-Earth space. She has authored or co-authored over 260 publications, spanning journals like Nature Communications , Geophysical Research Letters , and Journal of Geophysical Research . Dr. Kistler has secured grants and collaborations through initiatives like the NASA Interstellar Mapping and Acceleration Probe (IMAP) and has served as a co-investigator on multiple missions. Her work emphasizes interdisciplinary approaches, combining spacecraft observations with ground-based data and numerical simulations to unravel the complexities of Earth's space environment.

Patricia Spellmanمشاهده پروفایل

استادیار

• Karst Hydrogeology
• Surface-Groundwater Interactions
• Island Hydrology
• +۴ مورد دیگر

Dr. Patricia Spellman is an Assistant Professor in the School of Geosciences at the University of South Florida, specializing in karst hydrogeology, island hydrology, and hydrological modeling. She holds a Ph.D. in Civil Engineering from Michigan Technological University and leads multiple state-funded projects on aquifer systems. Research expertise encompasses karst vadose zone dynamics, surface-groundwater interactions in carbonate landscapes, and sustainable water management in island environments. Current projects focus on Floridan Aquifer nitrates, Bahamian blue hole systems, and agricultural impacts on water quality. Publications demonstrate consistent focus on karst hydrology innovations, with recent work advancing spectral analysis techniques for vadose zone characterization and multivariate statistical approaches for contamination tracking. Fieldwork spans Florida, Alaska, and Bahamian archipelago. Grants & Projects: Florida DEP Springs Monitoring ($142k) Suwannee River WMD Projects ($67k) NSF RAPID Storm Response ($25k) Florida Fish & Wildlife Isotope Analysis ($22k) Teaching includes Environmental Hydrology and Numerical Modeling courses. Advises 8 graduate students on topics ranging from San Salvador Island hydrology to agricultural impacts on water chemistry. Extensive field methodology expertise including cave diving and sensor deployment.

Kristen L. Corbosieroمشاهده پروفایل

استاد

• Tropical Meteorology
• Atmospheric Science
• Hurricane Dynamics
• +۳ مورد دیگر

Kristen L. Corbosiero is a Professor in the Department of Atmospheric & Environmental Sciences at the University at Albany, State University of New York. Her primary research focuses on understanding the structure, intensity changes, and environmental interactions of tropical cyclones, including processes like secondary eyewall formation and rapid intensification. She utilizes both observational data and numerical models to explore topics such as cloud microphysics, vertical wind shear effects, and the role of lightning in storm dynamics. Education: PhD, Atmospheric Science, University at Albany, SUNY, 2005 MS, Atmospheric Science, University at Albany, SUNY, 2000 BS with Distinction, Atmospheric Science, Cornell University, 1997 Research Interests: Dr. Corbosiero investigates tropical cyclone behavior, including the formation of hurricane rainbands and secondary eyewalls, the impact of environmental conditions on storm evolution, and the influence of cloud microphysical parameterizations. Her work also addresses the predictability of heavy rainfall events linked to tropical systems, such as atmospheric rivers and remnant cyclones. Articles & Research Trends: Her recent publications emphasize ventilation processes in tropical cyclones, diurnal pulsations in hurricane structure, and the climatological significance of downshear reformation. She collaborates on projects funded by NASA, NOAA, and UCAR, advancing the understanding of cyclone dynamics and forecast improvement. Advising & Students: Dr. Corbosiero has mentored numerous graduate and undergraduate students, many of whom have contributed to studies on tropical cyclone evolution, precipitation patterns, and mesoscale meteorology. Notable advisees include Nicholas Johnson (ventilation in sheared storms) and Alex Mitchell (eastern Pacific cyclone variability). Labs & Teams: Her research group actively explores topics like tropical cyclone predictability, lightning activity in storms, and the North American Monsoon System’s interaction with eastern Pacific systems. Current projects involve ensemble-based sensitivity analysis and high-resolution numerical simulations.