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Kristen BrubakerView profile

Professor

• Forest Ecology
• Remote Sensing
• Critical Zone Science
• +7 more

Kristen Brubaker is a Professor of Environmental Studies and Chair of Environmental Science at Hobart and William Smith Colleges. She joined the faculty in 2012 and holds a PhD in Forest Resources from Penn State University (2011), an MS in Geosciences from Mississippi State University (2006), and a BS in Secondary Education from Penn State University (2003). Research Interests: Her research lies at the intersection of forestry, landscape ecology, and eco-hydrology, with a strong emphasis on using spatial data—particularly LiDAR—to understand ecosystem dynamics and human impacts. She investigates how terrain, soil, and water availability influence forest community structure and biomass distribution. Her work contributes to understanding ecosystem services such as biodiversity, carbon sequestration, and sustainable forest management. Publications Overview: Her recent publications reflect a consistent focus on remote sensing applications in ecology, forest structure analysis, and environmental monitoring. She frequently collaborates on interdisciplinary studies involving critical zone science, aquatic ecosystems, and land use impacts. Her research integrates advanced geospatial tools with field ecology to address pressing environmental questions. Scientific Contributions: Use of LiDAR for forest canopy and biomass estimation Analysis of post-agricultural forest recovery Integration of spatial data in biodiversity and conservation studies Environmental impact assessments of energy extraction Teaching and Service: She teaches courses such as Fundamentals of GIS, Environmental Science, Advanced GIS, and Environmental Statistics. As Chair of Environmental Science, she plays a key leadership role in shaping the academic direction of the program. She mentors students and collaborates widely across disciplines, contributing to the advancement of environmental science education and research. Laboratories and Research Teams: While specific lab names are not mentioned, her work involves spatial data analysis and remote sensing, likely conducted through the Environmental Studies and Geoscience programs at HWS, potentially involving student researchers and interdisciplinary collaborations.

• Neuroscience
• Behavioral Biology
• Zebrafish Research
• +6 more

Herwig Baier is Director of the Department for Genes - Circuits - Behavior at the Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), where he leads a prominent research group investigating the neural basis of behavior using zebrafish as a model organism. His laboratory combines genetic, imaging, and behavioral approaches to understand how neural circuits generate behavior. Dr. Baier received his biology education at the University of Konstanz, completed his doctorate in 1995 under Friedrich Bonhoeffer at the MPI for Developmental Biology in Tübingen, and conducted postdoctoral research at the University of California, San Diego (1995-1998). He served as Professor at the University of California, San Francisco (1998-2012) before becoming Director at the Max Planck Institute in 2011. His research focuses on understanding how genes, neural circuits, and behavior are interconnected, with particular emphasis on visual processing, decision making, and social behavior in zebrafish. His laboratory has pioneered techniques for whole-brain imaging, optogenetic manipulation, and connectomic analysis in larval zebrafish, making significant contributions to mapping the neural circuits underlying prey capture, escape responses, and social recognition. The lab's work spans molecular, cellular, circuit, and behavioral levels of analysis, creating a comprehensive understanding of brain function. Analysis of Dr. Baier's recent publications (2021-2025) reveals a strong focus on neural circuit mapping at increasingly higher resolution, from cellular to synaptic levels, while connecting these structural findings to behavioral outputs. His work demonstrates how specific neural populations process visual information, make decisions, and generate appropriate motor responses, with significant contributions to understanding topographic organization in the brain and how genetic programs shape neural circuitry. Dr. Baier leads a large, collaborative research team with numerous postdocs, technicians, and students working on various aspects of zebrafish neuroscience. His laboratory has developed critical transgenic tools and methodological approaches that have been widely adopted by the neuroscience community, including optogenetic tools, calcium indicators, and brain atlases that facilitate circuit-level analysis in zebrafish.

Stefan NeuenfeldtView profile

Researcher

• Fisheries Management
• Marine Ecology
• Ecosystem-Based Conservation
• +4 more

Stefan Neuenfeldt is a Senior Researcher at DTU Aqua (National Institute of Aquatic Resources), Technical University of Denmark, affiliated with the Section for Marine Living Resources. His research focuses on sustainable fisheries management, marine ecosystem dynamics, and conservation policy implementation. Research Interests: Dr. Neuenfeldt's work integrates marine ecology with fisheries science, emphasizing: Ecosystem-based management frameworks for marine spatial planning Baltic Sea food web dynamics and fish population ecology Impacts of environmental change (hypoxia, temperature) on fish stocks Bycatch survival and fishing gear impacts on marine species His publications demonstrate consistent focus on translating ecological research into policy-relevant tools. Research Projects: Actively contributes to major EU initiatives: PReMaH: Passive restoration of marine habitats (2025-2036) ECOSPACE: High-resolution tools for marine fisheries management (2023-2027) MERTOR: Cod mortality drivers (seals, oxygen, food quality) (2023-2027) SOS-Fisk: Seabird/marine mammal impacts on fish stocks (2024-2027) Professional Engagement: Longstanding member of the International Council for the Exploration of the Sea (ICES) since 2012, participating in working groups related to Baltic Sea assessments and multispecies management.

• Collective Intelligence
• Swarm Behavior
• Social Network Analysis
• +3 more

Stefan Krause is a Professor of Computer Science at the Technical University of Lübeck , specializing in collective behavior and collective intelligence across humans and animals. His work bridges computational modeling with biological systems, focusing on social network analysis and its applications to technical and organizational challenges. Doctorate in Engineering (1992, TU Berlin) Diploma in Computer Science (1988, TU Berlin) Research interests include: Modeling social structures in animal and human groups Applications of swarm intelligence to technical systems Analysis of collective decision-making in ecological contexts Interdisciplinary studies of animal social networks His recent publications explore collective escape waves in wild fish, multi-species predator interactions , and rostral morphology in marine species. Krause's work often integrates computational models with empirical biological observations. Teaching areas include: Programming Software Development Artificial Intelligence He has led interdisciplinary workshops and seminars on swarm intelligence at institutions like the German Academic Scholarship Foundation and Volkswagen AG's Future Research Department .

• Oncology
• Nuclear Medicine
• Pain Management
• +3 more

Fritsch A. is an active researcher publishing across multiple medical disciplines including oncology, pain management, plastic surgery, and AI applications in medicine. The publication record from 2025 indicates ongoing research activity across various clinical domains. Research interests span several key areas: clinical oncology with focus on ovarian cancer detection techniques; pain management research particularly regarding diabetic neuropathy; plastic and reconstructive surgery with emphasis on microsurgical techniques and resident training; and emerging applications of artificial intelligence in patient care after surgical procedures. The work demonstrates a strong clinical research focus with translational applications. The publication portfolio shows a trend toward interdisciplinary research, particularly at the intersection of traditional medical specialties and emerging technologies. Several publications address methodological improvements in clinical practice, including novel imaging techniques, drug monitoring approaches, and evaluation of new therapeutic interventions. The research often involves multi-institutional collaborations as indicated by the author lists. Active participation in clinical trials research, particularly in pain management Contributions to surgical education methodology Exploration of AI applications in postoperative patient care Methodological improvements in drug concentration monitoring