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Charles Michael BishopView profile

Professor

• Avian Biology
• Animal Physiology
• Migration Ecology
• +3 more

Dr. Charles Michael Bishop is a Reader in Zoology (Avian) at Bangor University's School of Environmental and Natural Sciences. His research focuses on the physiological and morphological adaptations underlying animal locomotion, particularly in birds, with emphasis on flight performance and migration. He employs advanced technologies like miniature data loggers and GPS tracking to study cardiovascular dynamics, energy expenditure, and behavioral strategies in species such as bar-headed geese, albatrosses, and shearwaters. His work spans diverse environments, from the Himalayas to the open ocean, and addresses questions about altitude adaptation, foraging efficiency, and energy conservation. Collaborative projects include studies on bar-headed geese migration physiology (http://barheadedgoose.bangor.ac.uk/) and seabird foraging behavior linked to tidal patterns. He holds leadership roles within the School, including Senior Tutor and Disability Contact. Key research themes include avian flight energetics, migration physiology, and the application of biologging tools to understand animal movement. Recent studies highlight novel insights into wind utilization by shearwaters and roller-coaster flight strategies in high-altitude migrants. His publications frequently appear in journals like Current Biology , Science , and Journal of Experimental Biology .

Anthony RizzoView profile

Assistant Professor

• Integrated photonics
• Quantum photonics
• Neuromorphic photonics
• +4 more

Anthony Rizzo is an Assistant Professor of Engineering at Dartmouth College, leading the Rizzo Integrated Photonic Systems Laboratory. His research focuses on integrated photonics, quantum photonics, and neuromorphic photonics, with applications in high-speed data communication, quantum computing, and energy-efficient systems. He holds a PhD in Electrical Engineering from Columbia University (2022), an MS from Columbia (2019), and a BS in Physics from Haverford College (2017). His work has been funded by organizations such as the Toyota Research Institute and the U.S. Army Research Laboratory. Key research areas include silicon photonics for ultra-low energy optical interconnects, photonic-electronic integration, and novel photonic materials like aluminum nitride. Notable achievements include the first demonstration of a Kerr comb-driven silicon photonic link and advancements in 3D photonic integration for terabit-scale data links. His lab explores applications in quantum sensing, neuromorphic computing, and visible wavelength photonics for atomic systems. Funding Sources: Toyota Research Institute, U.S. Army Research Laboratory, Thayer School of Engineering, AIM Photonics Courses Taught: ENGS 23 (Distributed Systems and Fields), ENGS 60 (Solid-State Electronic Devices) Recent publications highlight breakthroughs in ultra-low loss waveguides, scalable photonic linear neurons, and energy-efficient modulators. His work bridges fundamental photonics research with practical applications in next-generation communication and computing systems.

Alexander Miserlis HoyleView profile

Researcher

• Computational Social Science
• Natural Language Processing
• Machine Learning
• +6 more

Alexander Hoyle is a Researcher at the ETH Zürich AI Center, concurrently contributing to natural language processing/machine learning and social science groups. He holds a PhD in Computer Science from the University of Maryland (advised by Philip Resnik) and a Master's in Computational Statistics from University College London (advised by Sebastian Riedel and Jeff Mitchell). His research focuses on computational social science, emphasizing methods for latent construct identification (e.g., topic models, ideal point models) and evaluation frameworks grounded in validity. Key areas include bias/fairness in AI, political science applications, and mental health constructs like suicidality. He pioneered frameworks like PairScale (attitude measurement via pairwise comparisons) and TopicGPT (prompt-based topic modeling). Education: PhD in Computer Science, University of Maryland (2020-2023) MS in Computational Statistics & Machine Learning, University College London (2018) Bachelor's degree (pre-PhD details omitted) Research Interests: Combining NLP with social science needs, particularly in evaluation rigor and interpretability. Active in interdisciplinary work between NLP and computational social science (e.g., measuring attitude evolution on Reddit, improving topic model validity). Advocates for human-in-the-loop approaches to address LLM limitations in tasks like document clustering and sentiment analysis. Grants & Projects: Contributed to a landmark $2.2B DOJ settlement on NYC public housing via econometric modeling at The Brattle Group. Active in graduate labor advocacy (Maryland state legislature testimony) and mentorship (Científico Latino's mentorship program). Labs & Teams: Leads initiatives at the ETH Zürich AI Center, collaborating with groups like Microsoft Research (FATE) and AI2's AllenNLP. Involved in multi-university projects (e.g., University of Maryland's Computational Linguistics lab).

Helen RobertsView profile

Professor

• Luminescence Dating
• Quaternary Science
• Geomorphology
• +7 more

Helen Roberts is a Professor in the Department of Geography and Earth Sciences at Aberystwyth University , where she has been a key figure since joining as a post-doctoral researcher in 1998 and becoming a Lecturer in 2005. She currently serves as Co-Director of the Aberystwyth Luminescence Research Laboratory (ALRL) and holds leadership roles in international bodies such as INQUA’s Stratigraphy and Geochronology Commission. PhD, University of Liverpool Her research focuses on luminescence dating of Quaternary sediments , with applications in understanding geomorphic change, coastal dynamics, paleoclimate, and human evolution . She has led major projects such as EQUATE and CREDit , funded by Horizon Europe and NERC, and has been involved in international drilling initiatives in Ethiopia and Italy. Her work integrates fieldwork, laboratory innovation, and data modeling to reconstruct environmental change over hundreds of thousands of years. Analysis of her recent publications reveals a strong emphasis on refining luminescence techniques (e.g., pIRIR, TL in calcite), applying them to critical paleoenvironmental archives (lake sediments, loess, glacial deposits), and linking climate variability to human evolution. Her interdisciplinary approach spans geochronology, sedimentology, and paleoanthropology. Fellow of the Learned Society of Wales (2023) Professor Roberts has supervised PhD students, including Svenja Riedesel, and secured significant research grants from NERC, UK Space Agency, and the Welsh Government. She actively contributes to scientific discourse through media engagement and public outreach. Her work supports UN Sustainable Development Goals related to climate action and life on land. She leads and participates in numerous international collaborations and professional committees, reflecting her standing in the Quaternary science community. She is involved in several research groups and laboratories, most notably the Aberystwyth Luminescence Research Laboratory , where she co-directs methodological development and application of luminescence dating techniques. Her team collaborates globally on projects involving terrestrial archives, paleoclimate modeling, and human evolution.

Mohamed AtiaView profile

Associate Professor

• Sensor Fusion
• Autonomous Systems
• Embedded Systems
• +12 more

Mohamed Atia is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He conducts research in sensor fusion for autonomous systems, including robotics, autonomous vehicles, and the Internet of Things, with an emphasis on real-time embedded implementation. PhD, Electrical and Computer Engineering, Queen’s University (2013) M.Sc., Computer Systems, Ain Shams University (2006) B.S., Computer Systems, Ain Shams University (2000) His research focuses on sensor fusion , integrating data from heterogeneous sensors such as GNSS, IMU, Vision, Radar, and LiDAR under real-time constraints on embedded platforms like FPGAs and microcontrollers. He applies advanced signal processing, estimation theory, machine learning, and AI to solve challenges in state estimation, observability, fault tolerance, and concurrency management. Dr. Atia’s work has applications in intelligent vehicles, indoor navigation, mobile robotics, smart buildings, medical devices, and remote sensing . He leads a research lab focused on embedded multi-sensor systems, where students develop practical solutions for autonomous navigation and SLAM. His teaching emphasizes hands-on learning through labs and projects. He teaches undergraduate courses in computer systems, embedded systems, and signal processing, and a graduate course (SYSC 5807) on Advanced Topics in Computer Systems, specifically Sensor Fusion Systems . Scientific Awards: Alberta Innovate Association Award (2011) IEEE Excellence in PhD Research (2013) Mitacs Elevate Industrial Postdoc Award (2014) NSERC PDF Award (2015) Queen’s University Teaching Award (2016) Dr. Atia has advised graduate students such as Hamza Sadruddin and Alan Zhang , who have presented at IEEE Sensors and ION GNSS+ conferences, with Zhang winning Best Presentation. He has no listed grants in the provided text but has received prestigious fellowships. His research lab supports innovation in real-time embedded sensor fusion with links to industry and open-source tools.

Jane NoyesView profile

Professor

• Health Services Research
• Child Health
• Complex Intervention Development and Evaluation
• +13 more

Jane Noyes is a Professor of Health and Social Care Services Research and Child Health in the School of Health Sciences at Bangor University. She is actively engaged in research, supervision, and leadership within health services and child health domains. Her work spans methodological innovation, policy impact, and interdisciplinary collaboration, particularly in Wales. Education: MSc in Postgraduate Studies, University of Manchester DPhil, University of York Her research focuses on child health—especially children with complex needs and life-limiting conditions—and general health services research, with expertise in complex intervention development and evaluation, qualitative and mixed-methods approaches, and robust evidence syntheses. She is a leading figure in advancing qualitative evidence synthesis methodology, particularly in Cochrane reviews and meta-ethnography. The recent articles highlight a strong trend toward methodological rigor in evidence synthesis, integration of patient-reported outcomes in value-based healthcare, and policy-relevant research during health emergencies. Her work increasingly emphasizes stakeholder engagement, rapid review processes, and economic evaluation in healthcare. Scientific Awards and Recognition: Contributions informed WHO guidelines on task shifting to improve maternal and child health globally. Work aligns with UN Sustainable Development Goals, particularly in health and education. Senior Research Leader appointed by Health and Care Research Wales. Jane Noyes leads major funded projects including the Wales Kidney Research Unit (2025–2030), the CARELINK Wales data linkage project, and the development of PRISMA-QES reporting guidelines. She supervises PhD students and has contributed to six supervised research outputs. Her leadership extends to organizing academic events such as the Inaugural College of Medicine and Health Women's Health Symposium. She is involved in labs and research units focused on pediatric palliative care costing, rapid evidence synthesis, and linked data analysis for vulnerable children in Wales. Her network includes collaborations across the UK and internationally, particularly in public health, nursing, and social care research.

Miriam BelmakerView profile

Associate Professor

• Human Evolution
• Paleoanthropology
• Archaeology
• +7 more

Miriam Belmaker is an Associate Professor in the Department of Anthropology & Sociology at The University of Tulsa, part of the Kendall College of Arts & Sciences. She also holds an associate curator position at the Steinhardt Museum of Natural History in Tel Aviv, Israel, reflecting her international academic engagement. Her academic journey includes a B.A. in prehistoric archaeology and ecology from Haifa University, followed by an M.Sc. and Ph.D. in Evolution and Ecology from the Hebrew University of Jerusalem. She completed a postdoctoral fellowship at Harvard University and a visiting position at the College of William & Mary before joining TU in 2012. Dr. Belmaker's research centers on paleoecology, zooarchaeology, and human evolution, particularly how environmental and climatic changes over the past 2 million years influenced hominin biological and cultural evolution. She uses fossil faunal remains to reconstruct ancient environments and interpret hominin behavior. Her fieldwork spans Israel, Jordan, the Caucasus, and Central and East Asia, with a focus on early Pleistocene sites. She is co-director of renewed excavations at the 'Ubeidiya site in Israel. Her recent publications reveal a strong trend in paleoenvironmental reconstruction using zooarchaeological and isotopic methods, with a focus on early human dispersals, climate variability, and faunal responses to ecological change. Her work integrates field data with modeling and comparative collections to address broad questions in human evolution. National Science Foundation Leakey Foundation Wenner-Gren Foundation Irene Levy Sala CARE Foundation Dr. Belmaker has successfully secured funding from prestigious organizations to support her research and fieldwork. She advises graduate students and leads the Belmaker Paleoecology and Zooarchaeology Lab at TU, where she also founded and directs the university’s comparative vertebrate collection—a key resource for training and research. She is actively involved in academic mentoring and continues to expand her research program through international collaborations, ongoing excavations, and interdisciplinary studies linking paleoecology with human evolutionary theory.

Stefan LeykView profile

Professor

• GIScience
• Spatial Uncertainty Modeling
• Land Cover Change Modeling
• +5 more

Stefan Leyk is a Professor of Geography at the University of Colorado Boulder within the Department of Geography in the College of Arts and Sciences. His research focuses on GIScience, spatial uncertainty modeling, and historical landscape analysis, with significant contributions to cartographic pattern recognition from historical maps and spatial dynamic modeling in public health. He holds a Ph.D. from the University of Zurich and the Federal Research Institute for Forest, Snow and Landscape (2005). His primary research interests include uncertainty in GIScience and spatial uncertainty modeling, land cover change modeling using historical spatial information, cartographic pattern recognition from historical maps, and spatial dynamic modeling approaches in public health. His work bridges historical geography with advanced computational methods, particularly in extracting settlement patterns from historical map archives and developing spatiotemporal datasets spanning centuries. Leyk's recent publications demonstrate strong trends in historical settlement analysis, with major projects like CHRONEX-US and HISDAC-US creating century-long datasets of urban infrastructure and settlement evolution. His work increasingly integrates machine learning with historical map processing, focusing on uncertainty quantification, built-up land validation, and environmental justice applications related to flood risk and coastal hazards. Key thematic areas include long-term urban growth patterns, rural poverty dynamics, and wildfire risk assessment at the wildland-urban interface. Leyk has received significant research funding through collaborative grants including 'HNDS-I: Building Long-term, National-scale Spatiotemporal Data Collections from Historical Map Archives' (2025) and 'HNDS-I: Data Infrastructure for Research on Historical Settlement and Population Growth in the United States' (2021). He actively mentors graduate students including Alek Berg, Caitlin McShane, and Yuying Ren, and teaches advanced GIS courses such as GEOG 4303/5303 GIS: Spatial Programming and GEOG 4103/5303 GIS: Spatial Analytics. His laboratory work centers on geospatial modeling of historical settlement and landscape analysis, with a focus on developing automated methods for processing historical map archives and creating linked spatiotemporal data. Current projects involve machine learning applications for feature extraction from historical maps, uncertainty prediction in built-up land layers, and the development of fine-grained datasets measuring 200 years of land development in the United States.

Marcos CaballeroView profile

Associate Professor

• Physics Education Research
• Computational Modeling in Physics
• Science Practices
• +3 more

Marcos Caballero serves as Associate Professor at both the University of Oslo's Center for Computing in Science Education and Michigan State University. His work bridges physics education research with computational science instruction across educational levels from high school to graduate programs. His educational background includes: B.S. in Physics from University of Texas at Austin (2004) M.S. in Physics from Georgia Institute of Technology (opto-microfluidics research) Ph.D. in Physics Education Research from Georgia Tech (2011, first PER-focused doctorate there) Postdoctoral research at University of Colorado Boulder Caballero's research investigates how computational tools and science practices shape physics learning, employing both cognitive and sociocultural theoretical frameworks. Key projects examine measurement uncertainty assessment, computational literacy development, and equity in graduate admissions. His work spans micro-level analyses of student coding comprehension to macro-level studies of computing's impact across degree programs, with significant contributions to transforming upper-division physics curricula toward active learning environments. His recent publications (2021-2024) reveal concentrated focus on measurement uncertainty assessment instruments , computational thinking frameworks , and holistic graduate admissions reform . These works demonstrate increasing methodological sophistication through NLP applications and large-scale educational data analysis, while maintaining practical relevance for physics classroom transformation. Caballero co-founded Georgia Tech's Physics Education Research group and currently leads UiO's Center for Computing in Science Education and Michigan State's Physics Education Research Lab . His international partnership for computing in science education drives cross-institutional curriculum development, focusing particularly on integrating computational practices into core physics instruction while addressing equity challenges in STEM education.

Aparna ShahView profile

Assistant Professor

• Neurobiology
• Psychiatric Disorders
• MicroRNA Regulation
• +3 more

Aparna Shah is a Collegiate Assistant Professor at the School of Neuroscience, College of Science, Virginia Tech. She earned her Ph.D. in Pharmacology (Neuroscience Track) from UT Health San Antonio, a Master's in Life Sciences (Neurobiology), and a Bachelor's in Life Sciences and Biochemistry from the University of Mumbai, India. Joined Virginia Tech in 2021 Postdoctoral Fellow at Johns Hopkins University Advocate for evidence-based teaching Her research explores the neurobiology of psychiatric disorders, focusing on vagal nerve stimulation (VNS) and the microRNA-degrading enzyme translin/trax (TN/TX) complex. She investigates how VNS recruits multiple biological pathways in treatment-resistant depression and how TN/TX regulates microRNAs linked to neuronal function and synaptic plasticity. Recent publications highlight her work on adiposity, vascular stiffness, and synaptic plasticity mechanisms. She teaches courses like NEUR 2025/2026 (Intro to Neuroscience) and NEUR 3084 (Cognitive Neuroscience). Key collaborations span pharmacology, neuroscience, and cardiovascular research. Her contact: aparnashah@vt.edu .

Ying XieView profile

Associate Professor

• Emerging Technologies in Education
• Reflective Learning
• Knowledge Integration
• +9 more

Ying Xie is an Associate Professor in the Department of Educational Technology, Research and Assessment at Northern Illinois University, College of Education. Her work bridges technology and pedagogy, with a focus on enhancing reflective learning, knowledge integration, and group cognition through innovative digital tools. Educational Background: Ph.D. in Instructional Systems, The Pennsylvania State University, with a minor in Educational Psychology B.S. in Computer Science and B.A. in Foreign Languages, University of Science and Technology of China Her research spans emerging technologies in education , including robotics in K–12 STEM learning, technology-assisted language acquisition, and mathematical problem posing. She explores how tools like word clouds, blogs, and mobile VR can scaffold reflective thinking and collaborative knowledge building. Her work is grounded in both cognitive and social learning theories. Analysis of her recent publications reveals a consistent focus on technology-enhanced learning environments , particularly using visual and interactive tools (e.g., tag clouds, blogs, VR) to support metacognition and collaboration. Her studies often employ mixed methods and design-based research, targeting diverse populations from K–12 to higher education. A growing interest in emergency remote learning and teacher self-efficacy is evident in her 2021 publications. Scientific Awards: No awards explicitly mentioned in the provided text. Dr. Xie actively advises graduate and doctoral students, as seen through her teaching of ETT 799 (Doctoral Research and Dissertation). She has contributed to curriculum development in instructional technology and research methodology. Her service includes participation in academic seminars and research guidance. She leads or contributes to research projects examining digital learning tools and their impact on cognition and engagement. Her lab or research team likely focuses on user experience in educational technology, possibly linked to the UX Lab mentioned in the departmental resources.

David CornwellView profile

Senior Lecturer

• Geophysics
• Seismic Imaging
• Tectonics
• +3 more

David Cornwell is a Senior Lecturer in Geophysics at the University of Aberdeen, based in the Department of Geology and Geophysics within the School of Geosciences. His research focuses on seismic imaging, tectonics, and post-subduction processes, with notable contributions to understanding continental rift zones and crustal structure. He holds a BSc in Geophysics from the University of Leicester, an MSc in Exploration Geophysics from the University of Leeds, and a PhD in Seismology from Leicester. Dr. Cornwell has held roles such as MSc Geophysics Programme Director and manages the Aberdeen University Geophysical Equipment Repository (AUGER). His recent work includes studies on northern Borneo's tectonic evolution and seismic activity in Greenland. He received the RAS Higher Education Award in 2024 for his teaching and research contributions. Education: BSc Geophysics (University of Leicester, 1999) MSc Exploration Geophysics (University of Leeds, 2001) PhD Seismology (University of Leicester, 2008) Research Interests: His studies integrate seismic tomography, field geophysics, and computational modeling to explore post-subduction tectonics, lithospheric dynamics, and crustal deformation. Recent projects include imaging Borneo's crustal structure and analyzing rockslide-generated tsunamis in Greenland. Publications: His recent articles highlight advancements in ambient noise tomography, lithospheric drip mechanisms, and global seismic oscillations induced by natural events. These contributions underscore his expertise in linking observational data with tectonic processes. Grants & Awards: In addition to the RAS award, he has led initiatives like the TARGET CDT for geothermal research and contributed to international projects such as IODP EXP395. Labs/Teams: He oversees the AUGER repository and collaborates with teams studying geothermal energy and crustal fluid flow. His work often involves interdisciplinary approaches, combining seismology with geological field studies.

Maria Alberich CarramiñanaView profile

Professor

• Algebraic Geometry
• Singularity Theory
• Geometric and Topological Methods in Robotics
• +1 more

Maria Alberich Carramiñana is a Full Professor (Catedrática) at the Universitat Politècnica de Catalunya (UPC), Department of Mathematics, affiliated with the Faculty of Mathematics and Statistics. She leads the GEOMVAP research group (Geometry of Varieties and Applications) and is part of the Institut de Robòtica i Informàtica Industrial (CSIC-UPC). Her expertise lies in Algebraic Geometry, Singularity Theory, and their applications to robotics, alongside Mathematics Outreach. She holds a Ph.D. from the Universitat de Barcelona and has held roles including Ramón y Cajal Fellow and Associate Professor at UPC. Roles: Deputy Director at CFIS-UPC, member of the IMAGINARY Committee (RSME). Education: M.Sc. (1994), Ph.D. (2000) in Mathematics from UB. Research focuses on analytic and algebraic singularities, robotic perception and manipulation (e.g., cloth modeling), and geometric-topological methods in robotics. Key projects include Interactions of Geometry with Algebra and Applications and GeomVAP . Awards include Sant Jordi IEC Awards (2022, 2024), Vincent Caselles RSME-BBVA (2022), and supervision of award-winning students (e.g., Guillem Blanco, Franco Coltraro). Grants: Competitively funded projects (e.g., Geometria de Varietats i Aplicacions ) and non-competitive initiatives (e.g., LabORA consolidation). Active collaborations in robotics and algebraic geometry.

Anna HerringView profile

Assistant Professor

• Environmental Engineering
• Carbon Capture, Utilization, and Storage (CCUS)
• Geologic Carbon Storage
• +7 more

Anna Herring is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, part of the College of Engineering. She joined the faculty in August 2022 after conducting postdoctoral research and holding an Australian Research Council Discovery Early Career Researcher Award (DECRA) at the Australian National University. Education: PhD in Environmental Engineering, Oregon State University, 2015 MS in Environmental Engineering, Oregon State University, 2012 BS in Environmental Engineering, University of Colorado, 2010 Her research centers on experimental investigation of fluid flow in porous media, particularly in the context of climate change mitigation. She specializes in carbon capture, utilization, and storage (CCUS), including geologic carbon storage and mineral carbonation. Using advanced 3D X-ray microtomography, she visualizes and analyzes multiphase fluid flows and reactive transport processes at the microscale, linking topology and structure to macro-scale engineering behavior. Her work integrates physics, chemistry, and engineering to optimize subsurface fluid management. The analysis of her recent publications reveals a consistent focus on pore-scale dynamics, fluid topology, wettability, and trapping mechanisms in porous media. Her studies employ micro-CT imaging, topological data analysis, and digital rock physics to understand multiphase flow, with direct applications to CO2 sequestration and reservoir engineering. The interdisciplinary nature of her work spans environmental engineering, materials science, fluid mechanics, and applied mathematics. Scientific Awards and Recognitions: Australian Research Council (ARC) Discovery Early Career Research Award (DECRA), 2018–2021 Editor’s Citation for Excellence in Refereeing, Water Resources Research , 2021 Anna Herring actively contributes to professional service, including serving on the Diversity, Equity, and Inclusion Committee of the International Society for Porous Media (InterPore) since 2022, and as a member of the American Geophysical Union. While specific grant details are not provided, her DECRA fellowship indicates competitive research funding. She has advised or collaborated with numerous researchers, though formal advisees are not listed. Her research is conducted in experimental and computational labs focused on digital rock physics and reactive transport.

• Agricultural Engineering
• Environmental Biotechnology
• Animal Husbandry
• +4 more

Thomas Amon is a Professor at the Free University of Berlin and Head of the Department of Sensor Technology and Modeling at the Leibniz Institute of Agricultural Engineering and Bioeconomy Potsdam (ATB) . He leads research in livestock-environment interactions , with a focus on reducing greenhouse gases, managing antimicrobial resistance, and optimizing dairy and pig production systems. Current Roles: Department Head (ATB), Professor (Free University Berlin) Research Pillars: Animal husbandry emissions, biogas systems, antibiotic resistance dynamics, climate-resilient farming His research interests span agricultural biotechnology, environmental microbiology, and sustainable systems engineering. Key projects include: LeibnizLabPP - Pandemic preparedness in animal-environment systems SMP4 - Antibiotic use modeling in livestock EmiMod - Emission quantification methods Using process-based models like Dutch Tier 3 and ManureDNDC, he quantifies whole-farm carbon and nitrogen cycles across confinement and pasture-based dairy systems. His work reveals: 63% of GHG emissions from confinement systems come from enteric methane Pasture systems show 18-69% soil organic carbon sequestration 19.9 tCO 2 -eq per cow in confinement vs 2.7-4.0 tCO 2 -eq in pasture systems His scientific contributions include: First mechanistic model linking diet composition to antibiotic resistance gene persistence Novel framework for dairy GHG accounting across barn-manure-soil interfaces Optimized ventilation models for pig housing with outdoor access