جستجوی استاد راهنمای دانشگاهی

Dan Warren is a Senior Research Fellow at the Gulbali Research Institute, Charles Sturt University, where he conducts interdisciplinary research in population biology, ecology, evolution, and conservation. His work centers on developing and refining species distribution models and environmental niche models to understand biodiversity and support conservation under global change. PhD in Population Biology, University of California, Davis Dan Warren's research interests lie in the development and application of quantitative tools for ecology and evolution. He focuses on species distribution models (SDMs), environmental niche models (ENMs), and their use in understanding biodiversity patterns, evolutionary processes, and conservation planning. His methodological innovations, such as those in the ENMTools R package, are widely adopted. His work spans animal behavior, climate change impacts, and conservation management, with strong relevance to UN Sustainable Development Goals on climate action and life on land. His recent publications reflect a consistent focus on improving the accuracy, interpretation, and application of species distribution models. Trends include addressing bias in model outputs, enhancing methodological standards, and developing robust tools for conservation under climate uncertainty. He frequently publishes in top ecological journals such as Ecography and Methods in Ecology and Evolution , and his work integrates software development with theoretical ecology. Dan Warren has served in key scientific roles, including as Associate Editor for Ecography and Systematic Biology , and as a reviewer for the IPBES global assessment. These contributions highlight his leadership in advancing scientific rigor and policy relevance in biodiversity science. He is actively involved in mentoring and collaborative research, contributing to datasets and methodological frameworks used by the broader ecological community. His work supports both academic inquiry and practical conservation, emphasizing robust, data-driven decision-making.

• Population Biology
• Ecology
• Evolution
• +۹ مورد دیگر

Dr. Jane Fowler is an Assistant Professor in the Department of Biological Sciences at Simon Fraser University , specializing in Environmental Microbiology. Her research focuses on water quality, microbial biotechnology, and biological treatment systems, with an emphasis on understanding microbial communities in drinking water and wastewater systems. Education: BSc (Honours) in Biology, University of Calgary, 2007 PhD in Microbiology, University of Calgary, 2014 Research Interests: Ecology and management of microbial communities in engineered systems Biodegradation of pollutants and nutrient cycling Microbial processes in drinking water treatment Recent Highlights: Recipient of NSERC Discovery Grant (2020) and CFI funding (2021) for microbiome research Lead on New Frontiers in Research Fund project (2023) exploring atmospheric microbes Key publications on comammox Nitrospira and microbial community dynamics in biofilters Teaching: Courses include BISC 303 Microbiology and BISC 490 Research Design . Awards: NSERC CREATE grant (2022) for Water and Sanitation training Recipient of SFU's Photo Contest for lab fieldwork imagery

• Environmental Microbiology
• Water Quality
• Microbial Biotechnology
• +۳ مورد دیگر

Dr Niall O'Flaherty serves as a Senior Lecturer (Reader) in the History of European Political Thought at King's College London's Department of History, Faculty of Arts & Humanities. His academic foundation includes a PhD from King's College, Cambridge (2008) and MA/BA degrees from Queen Mary, University of London. His educational background: PhD, King's College, Cambridge (2008) MA, Queen Mary, University of London BA, Queen Mary, University of London Niall's research centers on 18th-19th Century British Intellectual History , critically examining Enlightenment political thought through figures like William Paley, Malthus, and Darwin. His work investigates the evolving relationship between theology, science, and social discourse, with particular focus on secularization processes and historical conceptions of poverty and population. This scholarship bridges religious studies, economic history, and political theory within European intellectual traditions. His publication trajectory—from 2010 Paley studies to the 2024 poverty anthology—reveals sustained engagement with Enlightenment-era social philosophy. The corpus demonstrates methodological consistency in analyzing rhetorical strategies and conceptual shifts, particularly regarding how theological frameworks gradually yielded to secular social science paradigms in British thought. Recognition includes: István Hont Book Prize (2019) Niall actively mentors PhD candidates in intellectual history while directing significant research initiatives including the Leverhulme Trust-funded 'Malthus and the Discovery of Poverty' (2019-2021). His grant portfolio reflects deep investment in historical poverty studies and evolutionary thought development. He contributes to the Centre for Enlightenment Studies, fostering cross-departmental 18th-century research collaboration within King's Faculty of Arts & Humanities.

• History of Political Thought
• Intellectual History
• Enlightenment Studies
• +۴ مورد دیگر

David P. Helmbold is a Professor in the Computer Science Department at the University of California, Santa Cruz. He received his PhD in Computer Science from Stanford University in 1987, where he specialized in parallel algorithms and debugging of parallel programs. He has been a faculty member at UC Santa Cruz for over 25 years. Research Focus Helmbold's research centers on theoretical machine learning and computational learning theory. His primary interests include: Boosting methods and ensemble learning Online learning algorithms and regret minimization Theoretical foundations of semi-supervised learning Applications in computer vision, game AI, and power optimization Analysis of irrelevant variables in learning systems Publication Trends Helmbold's recent work (2009-2012) focuses on advancing theoretical machine learning, particularly in semi-supervised learning, Monte Carlo methods for game AI, and feature relevance analysis. His publications demonstrate a consistent bridge between theoretical frameworks and practical applications, spanning computer vision, geospatial analysis, and algorithmic game theory. Professional Recognition Helmbold is a long-standing member of the computational learning theory community, having hosted the COLT conference and served on its steering committee. No specific awards are mentioned in the source material.

• Machine Learning
• Computational Learning Theory
• Boosting
• +۴ مورد دیگر

David G. Drubin is the Ernette Comby Chair in Microbiology and a Professor of Cell Biology, Development and Physiology at the University of California, Berkeley. He is also an affiliate of the Division of Genetics, Genomics and Development, with his lab focusing on molecular mechanisms of actin assembly and membrane trafficking in human stem cells, organoids, zebrafish, and budding yeast. Affiliation: Department of Molecular and Cell Biology, UC Berkeley Research Focus: Actin-mediated membrane trafficking, clathrin-mediated endocytosis, cytoskeletal dynamics, genome editing, stem cell differentiation, and yeast genetics His lab employs real-time imaging, genome editing, mathematical modeling, and biochemical reconstitution to study endocytic mechanisms. Key findings include the role of membrane curvature in endocytosis and the translation of yeast discoveries to mammalian systems. Google Scholar publications up to 2025 highlight his work on myosin-I, actin networks, and membrane biophysics. Lab members include students and researchers like Sun Hae Hong, Yansong Miao, and Nate Krefman. The lab has produced educational videos (e.g., DNA gel training) and maintains active research directions in actin force generation and organelle inheritance pathways.

• Cell Biology
• Actin Dynamics
• Membrane Trafficking
• +۷ مورد دیگر

Marte Cecilie Wilhelmsen Solheim is Professor of Innovation and Vice-Rector for Innovation and Society at the University of Stavanger (UiS), Norway. She is affiliated with the UiS Business School’s Department of Innovation, Management and Marketing and serves on the steering committee of UiS Smart Cities and the national Research Network for Smart Sustainable Cities. Education: PhD in Innovation Studies, University of Stavanger, defended January 2017 with the thesis Innovation, Space, and Diversity . Opponents: Prof Ron Boschma & Assoc Prof Abigail Cooke. Supervisors: Prof Rune Dahl Fitjar & Prof Ragnar Tveterås. Research Interests: Solheim’s research sits at the intersection of innovation studies, economic geography and organisational theory . She investigates how workforce diversity —spanning migration background, gender, education and work experience— drives innovation, export performance and regional development . Specific themes include: Foreign-born workers as catalysts for innovation and international market access. Combinatorial innovation arising from diverse knowledge pools. Gendered and geographical variations in diversity–innovation links. Smart cities, responsible innovation and digital transformation in times of crisis. Publication Trends: Across more than 40 peer-reviewed works since 2016, Solheim has advanced large-scale quantitative analyses of Norwegian employer–employee data, qualitative case studies of energy-sector transformation and conceptual pieces on migration and innovation policy. Recent strands explore post-COVID digitalisation, eco-innovation geography, immigrant entrepreneurship and gender bias in venture-capital decisions , consistently emphasising inclusive innovation. Scientific Awards & Recognition: 2021 Competence Sharing Prize – Stavanger-region Chamber of Commerce, for outstanding dissemination of research to business and society. Member, Academy of Young Researchers in Norway . Regional Studies Association (RSA) Ambassador to Norway . Advising & Funding: Solheim presently supervises two PhD candidates— Xiangyu Quan (Smart Cities, Innovation & Policy) and Alina Meloyan (Universities & Regional Development). She has led or partnered in numerous national and international research and consultancy projects, frequently serving as expert advisor to Norwegian ministries, the Confederation of Norwegian Enterprise (NHO) and regional development agencies. Labs & Teams: She is an active member of the Research Network for Smart Sustainable Cities and sits on the steering committee for Smart Cities initiatives at UiS , fostering cross-disciplinary collaboration between business, engineering and social-science scholars.

• Innovation Studies
• Workforce Diversity and Innovation
• Economic Geography
• +۵ مورد دیگر

Dr. Vanessa Aguiar-Pulido is an Assistant Professor in the Computer Science department within the College of Arts and Sciences at the University of Miami. Her research focuses on the intersection of computer science and biomedical sciences, specifically developing computational tools to address challenges in genetic disorders and precision medicine. Her research interests include: Bioinformatics and computational genomics Machine learning and artificial intelligence applications in healthcare Big data analytics for genetic disorders Neural tube defects and spina bifida research Epigenetics and omics data integration Development of algorithms for candidate gene analysis Dr. Aguiar-Pulido's recent publications demonstrate a strong trend toward applying advanced machine learning techniques to understand genetic disorders, particularly neural tube defects and autism spectrum disorder. Her work frequently involves developing novel computational approaches that integrate multiple data types to identify genetic risk factors and biological pathways. A significant portion of her research focuses on spina bifida and epilepsy-related genetic analysis, showing consistent thematic focus in her scholarly output. Her scientific contributions include: Development of RExPRT, a machine learning tool for predicting pathogenicity of tandem repeat loci Creation of EpiPred, a gene-specific model for classifying missense variants in epilepsy-related genes Innovative approaches using embedded feature selection to pinpoint biological pathways in structural birth defects Dr. Aguiar-Pulido leads or participates in several funded research projects: Center for Accelerated Real Time Analytics (CARTA) (2021-2022) - NSF (Project Leader) Epilepsy Multiplatform Variant Prediction (2020-2025) - NIH (Co-Investigator) Progenitor regulation underlying cortical interneuron specification (2018-2023) - NIH (Key Personnel) Risk Genes and Environmental Interactions in Neural Tube Defects (2018-2023) - NIH (Researcher) Hybrid sequencing for improved genetic diagnosis in clinical settings (2019-2020) - Sackler Research Grant (Principal Investigator) She directs the DSaCB Lab, which focuses on developing computational approaches to address challenges in biomedical research, particularly related to genetic disorders. Her lab's work bridges computer science methodologies with real-world clinical applications in precision medicine.

• Bioinformatics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Leonard J. Schulman is a Professor of Computer Science at the California Institute of Technology (Caltech), where he has been on the faculty since 2000. He is affiliated with the Caltech Center for the Mathematics of Information (which he directed from 2003 to 2017) and the Institute for Quantum Information and Matter. His academic appointments have included positions at UC Berkeley, the Weizmann Institute of Science, the Georgia Institute of Technology, and the Mathematical Sciences Research Institute. Schulman received his BSc in Mathematics in 1988 and his PhD in Applied Mathematics in 1992, both from the Massachusetts Institute of Technology (MIT). Schulman's research spans several overlapping areas in theoretical computer science and applied mathematics. His work focuses on algorithms and communication protocols , combinatorics and probability , coding and information theory , and quantum computation . More recently, his research has expanded into causal inference and machine learning , particularly in the areas of mixture models, causal discovery, and structure learning. His approach combines deep theoretical insights with practical applications across multiple domains. An analysis of Schulman's recent publications (2019-2025) reveals a strong focus on causal inference and machine learning, particularly in the areas of mixture models, causal discovery, and structure learning. His work bridges theoretical computer science with statistical learning, often developing novel algorithms with provable guarantees. He has also maintained his foundational work in coding theory, algorithms, and quantum computation, demonstrating remarkable breadth across theoretical computer science. IEEE Schelkunoff Prize (2004) ACM Notable Paper (2012) UAI Best Paper Award (2016) FOCS Test of Time Award (2022) S. A. Schelkunoff Transactions Prize Paper Award (2004) SIAM Fellow NSF CAREER award NSF mathematical sciences postdoctoral fellowship MIT Bucsela prize in mathematics Schulman has advised numerous PhD students and postdoctoral researchers who have gone on to successful careers in academia and industry. His former students and postdocs include notable researchers such as Ashwin Nayak, Yaoyun Shi, Sean Hallgren, Jie Gao, and Michael Langberg. He served as Editor-in-Chief of the SIAM Journal on Computing from 2013 through 2018 and has been on the editorial boards of several prestigious journals including the Journal of the ACM, ACM Transactions on Algorithms, and SIAM Journal on Discrete Mathematics. Schulman directs the Caltech Center for the Mathematics of Information, a research center focused on the mathematical foundations of information processing, communication, and computation. His work often involves interdisciplinary collaborations across computer science, mathematics, physics, and economics.

• Algorithms
• Communication Protocols
• Combinatorics
• +۶ مورد دیگر

Peter Mcintyre serves as an Associate Professor in the Department of Ecology and Evolutionary Biology at Cornell University's College of Arts and Sciences. He holds the Dwight Webster Sesquicentennial Faculty Fellowship and is affiliated with the Institute for African Development as a Core Faculty member and the Southeast Asia Program as a Faculty Associate. His educational background includes a B.A. in Biology from Harvard University (1998) and a Ph.D. in Ecology & Evolutionary Biology from Cornell University (2006). Mcintyre is an aquatic conservation ecologist whose research focuses on developing management approaches that balance human interests with protecting biodiversity. His work spans multiple continents, with field studies conducted in New York, the Great Lakes, East Africa, Southeast Asia, and Hawaii. His academic interests encompass Biogeochemistry and Ecosystem Science, Community Ecology and Population Biology, Evolutionary Patterns and Processes, Organismal Biology, and Sustainability, Environment and Conservation. Key research themes include fisheries, food webs, climate change, ecological stoichiometry, global biodiversity, conservation planning, river networks, and life history and migration. His recent publications reveal a consistent focus on freshwater ecosystem conservation, with particular attention to global patterns of biodiversity, climate change impacts on aquatic systems, fisheries management, and conservation planning. His work increasingly integrates molecular techniques like eDNA with traditional ecological methods, while maintaining a strong emphasis on practical conservation applications across diverse global contexts from the Amazon to Hawaiian streams. Dwight Webster Sesquicentennial Faculty Fellow Mcintyre leads the McIntyre Lab, which addresses ecology and conservation in rivers and lakes worldwide, with special focus on the organism-ecosystem interface. His lab studies how animals affect ecosystem productivity and nutrient dynamics, with particular emphasis on freshwater fisheries in the Adirondack Mountains and developing nations. His students and postdocs have received significant recognition including NSERC graduate research fellowships and Doctoral Dissertation Improvement Grants. The lab's work spans multiple major research projects including the Adirondack Fisheries Research Program, Lake Tanganyika Ecosystem Project, Great Lakes connectivity initiatives, and conservation of Native Stream Gobies in the Hawaiian Archipelago. The McIntyre Lab maintains active research sites across the globe, from the Adirondacks to Lake Tanganyika in East Africa, with particular strength in studying the connections between organismal biology and ecosystem processes in freshwater environments. Their work consistently bridges fundamental ecological questions with practical conservation applications, making significant contributions to both scientific understanding and on-the-ground management of freshwater resources.

• Aquatic Conservation Ecology
• Freshwater Ecosystems
• Biodiversity Conservation
• +۷ مورد دیگر

Yanping Long is a Research Associate Professor at Southern University of Science and Technology (SUSTech) in Shenzhen, China, affiliated with the School of Life Sciences and Department of Biology. She holds a PhD in Developmental Biology from the Institute of Genetics and Developmental Biology, Chinese Academy of Sciences (2015), and a B.S. in Biotechnology from Northwest Agriculture and Forestry University (2007). Her career includes positions as Research Assistant Professor at SUSTech (2019-2023) and postdoctoral research under Dr. Jixian Zhai. Her research integrates wet-lab and computational approaches to develop cutting-edge genomic technologies. Primary interests include: Single-cell sequencing for plant systems (e.g., FlsnRNA-seq) Long-read sequencing applications (e.g., FLEP-seq, Pore-C) Gene expression regulation focusing on RNA processing, epigenetics, and transcriptional dynamics Her publications (2019-2023) demonstrate a strong focus on developing novel genomic methods and applying them to plant systems. Key themes include single-cell transcriptomics, chromatin architecture, RNA processing dynamics, and epigenetic regulation in model plants (Arabidopsis, Medicago) and crops (soybean, rice). Awards: Outstanding Young Women Award, Chinese Society for Plant Biology (2022) She holds patents for genomic technologies including single-cell library construction and barcoded gel bead methodologies. No student advisees or grant details were mentioned in the source materials.

• Single-cell Sequencing
• Long-read Sequencing
• Gene Expression Regulation
• +۳ مورد دیگر

Dr. Tegwen Malik, a Senior Lecturer at Swansea University's School of Management and Senior Fellow of the Higher Education Academy (SFHEA), bridges artificial intelligence research with biomimetic innovations. Her multifaceted roles include Deputy Programme Director for MSc Management, Director of Education and Content at the i-Lab Research Centre, and leadership in the "Global and Social Challenges" theme. Senior Lecturer, School of Management (since 2022) Deputy Director, MSc Management Programme Director of Education, i-Lab Research Centre UKAT Recognised Practitioner in Advising Her research explores Artificial Intelligence applications across sectors, particularly in higher education, and biomimicry innovations for water management in arid regions. Collaborative work spans engineering (Welsh Centre for Printing and Coating), medicine, and management, with external partnerships at Lifescaped, MIT, and ESPCI. Recent publications analyze agentic AI systems , generative AI impacts , and bioinspired water collection mechanisms. The 2023 I3E Conference awarded her for transformative AI research in education. Best Research Paper Award, I3E 2023 Brazil Co-PI on international projects (Lifescaped, MIT, ESPCI) Supervisor for 4 active PhD students Editorial reviewer for Government Information Quarterly and Information & Organisation Dr. Malik also investigates digital marketing adoption , operations management , and international standards , with practical experience in product commercialization and transnational projects. Her teaching focuses on mathematics and analytics for business , reaching over 600 MSc Management students annually.

• Artificial Intelligence
• Biomimicry
• Water Management
• +۵ مورد دیگر

Marc H. Schieber, M.D., Ph.D. is a Part-Time Professor in the Department of Neurology at the University of Rochester School of Medicine and Dentistry. He leads the Schieber Lab, which focuses on neural control of hand and finger movements and brain-machine interface technology development. His research has significant implications for restoration and repair of damaged neurological function. Dr. Schieber's educational background includes both an MD and PhD from Washington University School of Medicine (1982), followed by a Neurology residency at Massachusetts General Hospital (1983-1986) and an Internal Medicine internship at Barnes-Jewish Hospital South (1982-1983). His academic journey was supported by prestigious fellowships including the Medical Scientist Training Program Fellowship (1974-1982). His research primarily investigates how the brain controls fine finger movements used in activities like typing, playing musical instruments, or performing delicate surgery. More recent work explores the combination of reaching, grasping, and manipulating. His lab studies how the brain controls complex muscle movements to achieve required actions, with applications to brain-machine interface technology. His publications reveal consistent focus on neural coding, motor cortex function, and the development of neuroprosthetics for restoring lost function. Dr. Schieber's work shows strong trends in understanding neural representations of movement, cortical organization for motor control, and translating these findings to practical brain-computer interfaces. His recent publications (2023-2025) increasingly focus on intracortical microstimulation for injecting information into cortical networks, neural synchrony in sensorimotor systems, and computational approaches to motor control. Javits Investigator Merit Award (2003-2010) Clinical Investigator Development Award (1986-1989) Phi Beta Kappa (1974) A.B. summa cum laude (1974) Medical Scientist Training Program Fellowship (1974-1982) Dr. Schieber has mentored numerous graduate students and postdoctoral fellows who have gone on to successful careers in academia and industry. His lab has received substantial research funding supporting investigations into neural control mechanisms and brain-machine interface development. The Schieber Lab has been an important contributor to understanding distributed motor control in the cortex and translating these findings to potential clinical applications for neurological rehabilitation. His laboratory work has consistently examined the distributed nature of motor control in the cortex, challenging traditional views of somatotopic organization and demonstrating how multiple cortical areas work together to produce coordinated movements. Current research directions include investigating how to effectively inject information into cortical networks using microstimulation and understanding the computational principles underlying motor control.

• Neural Control of Movement
• Motor Cortex Function
• Brain-Machine Interfaces
• +۵ مورد دیگر

Prof. Dr. Fadi AL-TURJMAN serves as the founding Dean of the Faculty of AI and Informatics at Near East University (NEU), Cyprus. He holds multiple leadership roles including Head of the Software Engineering Department and Director of the AI and Robotics Institute and the International Research Center for AI and IoT. With a PhD in Computer Science from Queen’s University (2011), he specializes in AIoT systems, wireless networks, and blockchain integration. Affiliation: Near East University Leadership: Founding Dean for AI and Informatics, Director of AI & Robotics Institute Research Focus: His work bridges Artificial Intelligence of Things (AIoT) , Blockchain Applications , and Smart Networking . He explores cybersecurity frameworks for smart cities, quantum state optimization techniques, and novel AI-driven solutions for healthcare, agriculture, and energy systems. Key Article Trends: Recent publications emphasize Transformer models for environmental monitoring, blockchain-enabled security protocols , and evolutionary algorithms for resource optimization. His research spans interdisciplinary domains including medical diagnostics, vehicular networks, and sustainable infrastructure. Scientific Awards: Lifetime Golden Award of Dr. Suat Gunsel (2022) Multiple Best Research Awards at International Venues Labs & Teams: Directs the International Research Center for AI and IoT at NEU, leading multidisciplinary teams in developing advanced networking technologies and AI-driven solutions for global value chain applications.

• Artificial Intelligence of Things (AIoT)
• Wireless Sensor Networks
• Blockchain Applications
• +۷ مورد دیگر

Professor Lennart Randau is a leading researcher in the field of Genetics at Philipps University of Marburg, affiliated with the Faculty of Biology. His work is conducted in conjunction with the Max Planck Institute for Terrestrial Microbiology in Marburg, Germany, where he investigates molecular mechanisms underlying CRISPR-Cas systems and related biotechnological applications. Research focus on CRISPR-Cas evolution and inhibition mechanisms Investigates structural and functional diversity of prokaryotic defense systems Active in developing genome engineering tools from microbial systems His recent publications highlight CRISPR-Cas transitions from natural immunity to synthetic biology applications, with particular emphasis on anti-CRISPR proteins and transposon-associated gene integration mechanisms. Professor Randau's laboratory employs interdisciplinary approaches combining molecular biology, biochemistry, structural biology, and genomics to unravel the complexities of microbial genetic defense systems and their potential applications in biotechnology.

• Molecular Biology
• CRISPR-Cas Systems
• Microbial Genetics
• +۳ مورد دیگر

Jody Reimer is an Assistant Professor jointly appointed in the Department of Mathematics and the School of Biological Sciences at the University of Utah. Her interdisciplinary work bridges mathematical theory with ecological applications, focusing on extreme environments including polar regions and Great Salt Lake. She maintains offices in both the Mathematics building (LCB 301) and South Biology building (227), reflecting her dual departmental affiliation and commitment to collaborative research across disciplines. Dr. Reimer's research explores the intersection of mathematics, ecology, and statistical/computational methods to connect models with data. Her work leverages advances in uncertainty quantification, optimal control theory, and data science to understand ecological phenomena. Much of her research is motivated by questions in polar marine biology and Great Salt Lake ecology, with additional collaborative projects spanning diverse biological systems. She develops mathematical approaches to study sea ice ecosystems, polar bear navigation in warming Arctic, and long transient dynamics in ecological systems. Analysis of Dr. Reimer's recent publications reveals a strong focus on mathematical approaches to pressing ecological questions. Her work spans theoretical developments in uncertainty quantification and transient dynamics, alongside applied research on polar ecosystems, wildlife management, and disease modeling. A recurring theme is the development and application of optimal control theory to ecological problems, particularly in understanding animal behavior under environmental change. Her interdisciplinary approach consistently bridges mathematical theory with empirical ecological challenges. Shortlisted for the Robert May Prize for her paper "Matrix methods for stochastic dynamic programming in ecology and evolutionary biology" Dr. Reimer actively mentors a diverse group of students across multiple disciplines, including PhD candidates in Mathematics and Biology, as well as numerous undergraduate researchers. Her lab recently received a 1U4U Seed Grant to support data collection on Great Salt Lake microbialites. She co-organizes significant research initiatives including the ICERM Workshop on Uncertainty Quantification for Mathematical Biology (May 2025) and the SLMath graduate summer school on Mathematics of Climate, Sea Ice, and Polar Ecosystems (June 2025). Current funding supports research on polar bear navigation, sea ice ecology, and Great Salt Lake microbial communities. The Reimer lab operates at the interface of mathematics and biology, with members working on diverse projects spanning polar ecology, Great Salt Lake research, and theoretical ecology. The lab maintains strong connections with field researchers in the Arctic and collaborates with biologists, statisticians, and applied mathematicians across institutions. Recent work includes the "Mathpedition" project documenting academia in the Arctic and collaborative efforts with Polar Bears International on educational initiatives.

• Mathematical Ecology
• Ecological Modeling
• Polar Marine Biology
• +۷ مورد دیگر