Find Academic Supervisors

Ellen RiloffView profile

Professor

• Natural Language Processing
• Artificial Intelligence
• Sentiment Analysis
• +3 more

Ellen Riloff serves as Department Head and Professor in the Department of Computer Science at the University of Arizona, where she leads research at the intersection of natural language processing (NLP) and artificial intelligence. Her work bridges theoretical advancements with real-world applications in social computing, planetary science, and crisis response systems. Education: Ph.D. in Computer Science, University of Massachusetts at Amherst (1994) Research Focus: Dr. Riloff specializes in affective computing and information extraction , developing techniques to recognize emotion, social cues, and embodied expressions in text. Her methodologies frequently employ bootstrapping, stacked learning, and semantic lexicon induction. Recent projects address crisis informatics (e.g., social cue recognition in emergencies) and interdisciplinary applications like the Mars Target Encyclopedia for planetary science data extraction. Publication Trends: Analysis of her 15 most recent publications (2021–2025) reveals three dominant trajectories: (1) affective event modeling in social contexts with applications to crisis response; (2) domain-specific NLP for planetary science and food systems; and (3) advanced language model techniques including retrieval-augmented generation and multi-view prompting. Her work increasingly integrates deep learning with traditional linguistic features. Grants and Leadership: Dr. Riloff has directed multiple NSF-funded projects, including RI: Small: Recognizing Implicit Personal States in Natural Language (2016) and RI: Small: Acquiring Domain Knowledge from Text through Cooperative Bootstrapping (2010). These initiatives pioneered bootstrapping frameworks for affective event recognition and information extraction. She also co-organized the Workshop on Pattern-based Approaches to NLP (2023), highlighting her leadership in advancing hybrid NLP methodologies. Collaborative Infrastructure: She co-developed the Mars Target Encyclopedia—a large-scale information extraction system that processes planetary science literature to create structured databases of Mars surface targets. This project demonstrates her commitment to building reusable scientific infrastructure through NLP.

• Information Visualization
• Visual Analytics
• Graph Drawing
• +3 more

Tamara Munzner is a Professor of Computer Science at the University of British Columbia, with a confirmed email at tamara@cs.ubc.ca . Her research focuses on information visualization , visual analytics , and graph drawing , emphasizing practical design frameworks and theoretical foundations. Recent work explores visitor engagement with science museum exhibits large-scale data visualization challenges health informatics applications for chronic pain management advanced graph neural network visualization His publications in IEEE Transactions on Visualization and Computer Graphics and Eurographics conferences demonstrate her expertise in visual analytics. Scientific awards include the Best Panel Award at Euro Vis 2009 for her work on visualization education. Her research spans visualization design principles, dimensionality reduction techniques, and applications in genomic epidemiology and environmental sustainability.

Biondo BiondiView profile

Professor

• Seismic Imaging
• Geophysics
• Computational Geosciences
• +6 more

Biondo Biondi is the Barney and Estelle Morris Professor of Geophysics at Stanford University, affiliated with the School of Earth Sciences. He leads the Stanford Exploration Project and holds roles such as Chair of the Geophysics Department (2019–2022) and Director of the Stanford Earth Imaging Project (1998–Present). His research focuses on seismic imaging algorithms, computational geophysics, and fiber-optic sensing technologies. He earned his Ph.D. (1990), M.S. (1987) in Geophysics from Stanford, and M.Sc. in Electrical Engineering from Politecnico di Milano (1984). Dr. Biondi's research emphasizes improving seismic data imaging through advanced computational methods. He pioneered urban seismic monitoring using preexisting telecommunication fibers, enabling cost-effective subsurface analysis. His work integrates machine learning and high-performance computing to address challenges in reservoir imaging, CO2 monitoring, and infrastructure health. Key research areas include distributed acoustic sensing (DAS), ambient noise tomography, and inverse theory applications. He has authored over 180 publications and received awards like the SEG Honorable Mention (2019, 2016, 2009) and the Distinguished Instructor Short Course (2007). His teaching includes courses like 3-D Seismic Imaging and Reflection Seismology, and he advises graduate students in geophysics and computational science. Collaborations span industry (e.g., Schlumberger, Saudi Aramco) and global institutions. Biondi’s administrative contributions include co-directing the Stanford Earth Sciences Algorithms and Architectures Initiative and serving on editorial boards like the SIAM Journal on Imaging Sciences. His lab’s innovations bridge geophysics with emerging technologies, advancing both academia and industry applications in energy, environment, and urban infrastructure.

Hyuck Jin ParkView profile

Professor

• Landslide Hazard Assessment
• Geotechnical Engineering
• Machine Learning Applications
• +5 more

Hyuck Jin Park is a Full Professor in the Department of Energy Resources and Geosystems Engineering at Sejong University, South Korea, where he has been teaching and conducting research since 2003. With a Ph.D. in Engineering Geology from Purdue University, his expertise spans geotechnical engineering, landslide analysis, and geospatial technologies. Professor Park has built a distinguished career in landslide hazard assessment, combining traditional geotechnical approaches with modern machine learning techniques to improve prediction accuracy and risk management. His educational background includes: B.S. in Geology from Yonsei University (1990) M.S. in Geophysics from Yonsei University (1993) Ph.D. in Engineering Geology from Purdue University (2011) Professor Park's research focuses on the spatial and temporal probability of landslide occurrence, utilizing fuzzy logic, probabilistic analysis, GIS, Monte Carlo simulation, and machine learning for landslide hazard assessment. His work integrates physically based models with statistical approaches to better understand landslide mechanisms and improve prediction capabilities. He has made significant contributions to the development of methodologies that account for geological uncertainties in hazard assessment, with applications ranging from rock slope stability to rainfall-induced shallow landslides. His recent publications demonstrate a clear trend toward integrating explainable artificial intelligence with traditional geotechnical approaches for natural hazard assessment. Professor Park's work increasingly focuses on making machine learning models transparent and interpretable while maintaining high predictive accuracy. The research spans multiple hazard types including landslides, earthquakes, and floods, with a growing emphasis on climate change impacts and data-scarce environments. With an h-index of 28 and over 3,421 citations, Professor Park has established himself as a leading researcher in his field. His work has been published in high-impact journals including Engineering Geology, Landslides, and Catena, reflecting the significance and quality of his contributions to geotechnical engineering and natural hazard assessment. Professor Park has mentored numerous researchers through collaborative projects and has secured funding for his innovative work in landslide prediction and hazard assessment. His research has involved significant international collaboration, particularly with researchers from Malaysia, Australia, and Yemen, addressing landslide and flood risks in diverse geographical contexts. He leads research activities within the Department of Geoinformation Engineering at Sejong University and has contributed to the development of specialized tools like DEWS (Distance, Elevation, Watershed, and Slope unit) for landslide early warning systems.

Michael PyrczView profile

Professor

• Subsurface Data Analytics
• Geostatistics
• Machine Learning
• +3 more

Michael Pyrcz is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering and holds the rank of Associate Professor in the Jackson School of Geosciences at the University of Texas at Austin. He is the recipient of the B. J. Lancaster Professorship in Petroleum Engineering and the George H. Fancher Centennial Teaching Fellowship in Petroleum Engineering. His research focuses on subsurface data analytics, geostatistics, and machine learning applications in energy systems and CO2 sequestration. Pyrcz teaches widely, including through online lectures and GitHub workflows, and has authored over 50 peer-reviewed publications and a textbook on spatial data analytics. His work integrates machine learning with geoscience challenges, such as uncertainty quantification in reservoir modeling and CO2 storage site evaluation. He leads initiatives in energy data analytics through the Freshman Research Initiative and collaborates with industry on workflow development. Key research areas include generative AI for subsurface models, stochastic methods for fracture networks, and anomaly detection in geologic monitoring. Education: Background in petroleum engineering and geosciences (details not explicitly provided). Grants/Advising: Extensive industry collaboration and mentorship roles at Chevron prior to UT Austin. Labs/Teams: Maintains active GitHub repositories (GeostatsGuy), YouTube lecture series (GeostatsGuyLectures), and social media outreach (X/GeostatsGuy).

• Nuclear Engineering
• Reactor Physics
• Particle Physics
• +4 more

Adriaan Buijs is a Professor in the Engineering Physics Department at McMaster University in Hamilton, Canada. He previously held roles at Atomic Energy of Canada Limited (AECL) from 2001 to 2008, including Senior Scientist and Section Head for neutronic overpower protection in CANDU reactors. Education: Master’s and PhD in Experimental Physics from Utrecht University , with research at Stanford Linear Accelerator Center . Academic History: Fellow and Staff Member at CERN (1986–1994), then Full Professor at Utrecht University (1994–2001). Research Interests : Nuclear Engineering : Specializing in Small Modular Reactors (SMRs) and Canadian Supercritical Water-Cooled Reactors (SCWR) . Reactor Physics : Focused on neutron transport calculations , gamma heating estimation , and safety analysis for reactor systems. Particle Physics : Past contributions include studies on photon-photon collisions , charmonium states , and supersymmetric particles at CERN and LEP. Publications include work on nuclear reactor simulations , fuel cycle assessments , and Monte Carlo methods for reactor kinetics. He has served as Associate Chair and Acting Chair in his department.

• Biomedical Signal Processing
• Electroencephalography (EEG)
• Mental Workload Assessment
• +12 more

Tarmo Lipping is a Professor in the Department of Computer Science and Engineering at the Faculty of Information Technology and Electrical Engineering, University of Oulu. His work bridges computing sciences with biomedical engineering, environmental modelling, and data-driven societal applications. Doctor of Science (Technology), Information Technology – Awarded 14 Feb 2001 Master of Science (Technology), Information Technology – Awarded 10 Sept 1993 His research focuses on electroencephalography (EEG) , mental workload assessment , depth of anesthesia monitoring , and machine learning applications in healthcare and human-computer interaction. He also contributes to environmental informatics , particularly in land uplift modelling and radionuclide transport , aligning with UN Sustainable Development Goals. Recent publications highlight trends in transformer networks for EEG analysis , wearable HCI systems , data-driven food safety , and participatory municipal governance . His work integrates deep learning, signal processing, and real-world deployment. Scientific awards include: CIMO opettajavaihto (2017) Lipping has supervised numerous master’s students and served as an examiner in diverse topics including data vault modelling , telecom revenue estimation , and EEG hyperscanning . He has evaluated funding applications, acted as a journal reviewer (65 times), and contributed to editorial work. His activities reflect strong engagement in academic service and interdisciplinary research mentorship. He has contributed datasets on Fennoscandian land uplift , lake isolation , and archaeological shorelines to PANGAEA, supporting open science in geosciences and environmental history.

Mikael RinneView profile

Associate Professor

• Rock Fracture Mechanics
• Geotechnical Engineering
• Nuclear Waste Repository
• +3 more

Mikael Rinne is an Associate Professor in the Department of Civil Engineering at Aalto University's School of Engineering. His research focuses on rock fracture mechanics and its applications in various engineering contexts including nuclear waste repositories, geothermal energy systems, and underground construction. His expertise spans time-dependent rock failure mechanisms, fracture propagation models, and rock mechanics applications in energy storage and disposal systems. His work has direct applications in projects with Posiva Oy (nuclear waste repository), St1 Deepheat (geothermal energy), and mining operations with companies like First Quantum Minerals. Rinne's research integrates advanced numerical modeling with field applications, particularly in Finnish crystalline bedrock conditions. He has contributed significantly to understanding fracture initiation and propagation in rock masses under various stress conditions, with particular emphasis on long-term stability considerations for deep underground structures. His scholarly work demonstrates strong connections between theoretical fracture mechanics and practical engineering applications, with a focus on ensuring safety and reliability in rock engineering projects. His research has evolved from fundamental fracture mechanics studies to application-focused investigations addressing contemporary challenges in energy and waste management. Rinne has supervised doctoral research in rock mechanics and collaborates with researchers specializing in photogrammetry, virtual reality applications, and energy storage systems, creating a multidisciplinary approach to complex rock engineering problems.

• Radiochemistry
• Radioecology
• Actinide Chemistry
• +7 more

Thorsten Stumpf is a Professor and Director of the Institute of Resource Ecology at Helmholtz-Zentrum Dresden-Rossendorf (HZDR), with a joint professorship in Radiochemistry/Radioecology at Technische Universität Dresden. His work bridges fundamental chemistry and environmental safety in nuclear waste management. Research Interests: His research focuses on the molecular-level understanding of actinide and radionuclide behavior in the environment, including speciation, migration, and interaction with minerals, organic matter, and microorganisms. Key areas include radiochemistry, geochemistry, environmental chemistry, and nuclear waste disposal science. The recent publications reflect a strong trend in using advanced spectroscopic and synchrotron techniques (e.g., TRLFS, EXAFS, XRD) to study actinide speciation and redox behavior. Themes include bioassociation of radionuclides with plants and fungi, formation of actinide nanoparticles, and molecular interactions at mineral-water interfaces—critical for deep geological repository safety assessments. Scientific Awards: Fritz-Straßmann-Preis of the GDCh 'Fachgruppe Nuklearchemie' (2013) Advising and Grants: He has led significant research initiatives, including the Helmholtz-University Young Investigator Group and the Virtual Institute 'Advanced Solid – Aqueous Radiogeochemistry'. While specific students are not listed, his extensive publication record with multiple co-authors suggests active mentoring. His work is supported by Helmholtz Association funding and strategic collaborations. Labs and Teams: He leads the Institute of Resource Ecology at HZDR, which houses advanced laboratories for radiochemistry, spectroscopy, and environmental simulation. The institute is part of a larger network including CASUS and the Dresden High Magnetic Field Laboratory, enabling interdisciplinary research.

Allison M. MacfarlaneView profile

Professor

• Science and Technology Policy
• Energy Policy
• Nuclear Energy
• +4 more

Dr. Allison M. Macfarlane is Professor and Director of the School of Public Policy and Global Affairs within the Faculty of Arts at the University of British Columbia. She is a leading expert in energy and environmental policy, with a specialized focus on nuclear policy. Dr. Macfarlane has held significant positions in both academic and government sectors, including her notable role as the first geologist and third woman to chair the U.S. Nuclear Regulatory Commission from 2012-2014. Dr. Macfarlane earned her Ph.D. in Earth Science from MIT in 1992, with a thesis on metamorphism, deformation and plutonism in the Langtang region of the central Nepal Himalaya. She received a National Science Foundation Fellowship from 1988-1991. Her undergraduate degree is a B.Sc. with Summa Cum Laude from the University of Rochester (1986), where she received Highest Distinction in Geology for her work on strontium and neodymium isotopic studies of Bermuda's volcanic rocks. Her research expertise spans energy policy, science and technology policy, and sustainable resource policy, with particular emphasis on nuclear energy production, nuclear waste management and disposal, regulation, nuclear nonproliferation, and broader energy policy frameworks. Dr. Macfarlane's work bridges technical, social, and policy dimensions of nuclear issues, informed by her unique background as both a geologist and policy expert. Analysis of Dr. Macfarlane's recent publications reveals a consistent focus on nuclear waste management challenges, particularly regarding small modular reactors, deep borehole disposal, and long-term policy solutions. Her work demonstrates an interdisciplinary approach that combines geological knowledge with policy analysis, addressing both technical aspects of nuclear waste disposal and broader governance issues. She has increasingly focused on the relationship between nuclear energy and climate change mitigation efforts. Wilson Center Scholar, Woodrow Wilson Center for International Scholars (2019-2020) Fulbright Distinguished Chair, Flinders University and Carnegie Mellon University (2018) Member of the Board, American Institute of Physics (2018-present) Alumni Achievement Award, University of Rochester (2017) Chairman, U.S. Nuclear Regulatory Commission (2012-2014) Commissioner, U.S. Blue Ribbon Commission on America's Energy Future (2010-2012) Chair of the Science and Security Board, Bulletin of Atomic Scientists (2008-2012) Dr. Macfarlane has demonstrated leadership in numerous collaborative research initiatives and policy projects. During her tenure at the Nuclear Regulatory Commission, she pushed for greater public dialogue, international engagement among nuclear regulators, and stricter safety protocols following the Fukushima accident. She has also advocated for more family-friendly workplace policies. Her research supervision spans interdisciplinary projects connecting earth sciences with policy analysis, particularly in nuclear waste management contexts.

• Astrobiology
• Geochemistry
• Isotope geochemistry
• +3 more

Dr. Greg Slater is a Professor in the School of Earth, Environment and Society at McMaster University, with an associate membership in the Department of Chemistry and Chemical Biology. He leads the Environmental Organic Geochemistry Laboratory and holds a PhD (2001) from the University of Toronto, following undergraduate and master's degrees in environmental chemistry and geology from the same institution. His research focuses on geochemical signatures of microbial life, particularly in understanding organic compound sources/fates in Earth systems and astrobiological contexts. Key interests include environmental contaminants, microbial biosignatures, and subsurface biogeochemistry. Education: PhD Geology (2001), MSc Geology (1996), BSc Environmental Chemistry (1994) – University of Toronto Laboratories: Director of the Environmental Organic Geochemistry Laboratory Teaching: Courses include Advanced Environmental Geochemistry, Global Biogeochemical Cycles, and Contaminant Fate & Transport Research emphasizes astrobiology, geochemical analysis of microbial life, and applications to environmental remediation. His work bridges organic geochemistry, isotope geochemistry, and microbial ecology, with field sites ranging from oil sands reclamation sites to Antarctic microbial ecosystems. Recent projects include studying microbial communities in bentonite, naphthenic acid dynamics in pit lakes, and radiocarbon analysis of groundwater systems. Publications span 147+ articles, focusing on topics like microbial community stability, geochemical cycling in extreme environments, and isotopic tracing of contaminant pathways. His work contributes to understanding Earth's deep biosphere and astrobiological exploration strategies.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +3 more

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

• Virtual Geosciences
• Clastic Sedimentology
• Sequence Stratigraphy
• +7 more

Professor John Howell is a Chair in Virtual Geosciences at the School of Geosciences, University of Aberdeen. He has been a Professor there since 2012, following academic and industry roles in Norway and the UK. His research bridges sedimentology, digital field methods, and energy transition geoscience. He leads multiple international research initiatives and collaborates widely across academia and industry. Education: BSc in Geology, Cardiff University, 1988 PhD in Geology, University of Birmingham, 1992 — Dissertation: Sedimentology of the Rotliegend of the UK Southern North Sea John Howell's research is centered on virtual geosciences, focusing on digital outcrop modeling using LiDAR and drones, virtual field trips, and the use of geological analogues to improve subsurface models for reservoirs, carbon capture and storage (CCS), and hydrogen storage. His work spans clastic sedimentology, sequence stratigraphy, and reservoir modeling, with field areas including the Colorado Plateau (Utah), the North Sea, and global deep-water systems. He pioneered virtual outcrop geology and co-founded V3Geo, a public repository hosting over 500 virtual models. His recent publications reflect a strong trend toward integrating digital technologies—such as machine learning and photogrammetry—into geological analysis and education. Themes include reservoir heterogeneity, virtual field trip efficiency, and the application of modern depositional systems to ancient subsurface analogues. His work increasingly supports the energy transition, particularly in subsurface storage and sustainable resource management. Scientific Awards: Perce Allen Award (2018) ExxonMobil Young Researcher Award (2000) Alaister Pilkinton Award for Excellence in Teaching (2000) John Howell has supervised 56 PhD students and leads or co-leads five major Joint Industry Projects (JIPs), including the fifth phase of the SAFARI project, funded by nine energy companies and the Research Council of Norway. His research has attracted significant industry and public funding, supporting numerous postdocs and PhD candidates. He collaborates with institutions in Bergen, Leeds, Manchester, Oslo, and Barcelona. He is actively involved in knowledge exchange, having developed V3Geo, presented TEDx talks, and appeared in numerous TV documentaries such as 'The Big Monster Dig', 'Dinosaur Detectives', and 'World's Deadliest Jobs'. He also produced educational content like 'Drone vs Volcano' with over 375,000 views.

Park Chang JeView profile

Associate Professor

• Nuclear core design and reactor analysis
• Neutron transport and diffusion theory
• Monte Carlo theory and applications
• +5 more

Park Chang Je is an Associate Professor in the Department of Quantum and Nuclear Engineering at Sejong University , South Korea. He leads the Sejong Nuclear Core Design and Reactor Analysis Lab (SeNDAL) and has previously served as a Principal/Senior Researcher at the Korea Atomic Energy Research Institute (KAERI). His expertise lies in nuclear reactor design, neutron transport theory, Monte Carlo simulations, and spent nuclear fuel analysis. Education: Ph.D. in Nuclear Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2001 M.S. in Nuclear Engineering, KAIST, 1995 B.S. in Nuclear Engineering, Seoul National University, 1993 Research Interests: His research spans a wide range of nuclear engineering disciplines, including: Nuclear core design and reactor analysis Neutron transport and diffusion theory Monte Carlo theory and applications Spent nuclear fuel characterization and safeguards Thorium fuel cycle and small modular reactors Radiation shielding and nuclear safety Recent Research Trends: His recent publications focus on advanced nuclear reactor design, safety analysis of spent fuel storage systems, Monte Carlo-based shielding analysis, and innovative fuel cycle strategies. He has contributed to the design of thorium-based reactors, development of neutron multiplicity counting techniques, and evaluation of nuclear waste management systems. Research Projects & Funding: Development of Prompt Response In-Core Instrument and 3D Core Flux Distribution Synthesis Methodology (2023) Human Resources Development Project for High-Level Waste Management (2023) Development of manufacturing technology for neutron-absorbing composite materials for spent fuel storage (2022) Regulatory methodology development for protection against radiological sabotage (2020) Conceptual design of thorium-based ship reactors and space nuclear systems (2017–2021) Laboratory & Team: He directs the Sejong Nuclear Core Design and Reactor Analysis Lab (SeNDAL) , which focuses on reactor physics, nuclear fuel cycle analysis, and radiation transport simulations. The lab collaborates with domestic and international institutions including KAERI, KAIST, and international research reactors.

• Climate Science
• Geophysics
• Geobiology
• +5 more

Steve Lund is a Professor of Earth Sciences at the Department of Earth Sciences, University of Southern California (USC). His work focuses on the Earth's magnetic field variability, paleoclimate correlation using paleomagnetic and rock magnetic tools, and microplate tectonics in the North American Cordillera. He has collaborated extensively with institutions like the U.S. Geological Survey (USGS), Ocean Drilling Program (ODP), and International Ocean Discovery Program (IODP), particularly through expeditions such as ODP Leg 172 and IODP Expedition 323. Education: Ph.D. in Geophysics, University of Minnesota, 1981 M.S. in Geophysics, University of Minnesota, 1976 B.S. in Geology, University of North Dakota, 1972 Research Interests: Steve’s primary research explores geomagnetic field dynamics across time scales, including secular variation patterns, field excursions, and reversal sequences. He emphasizes the use of paleomagnetic and rock magnetic data to refine chronostratigraphic frameworks for paleoclimatic studies. His work integrates time-series analysis and microplate tectonics to address continental and oceanographic environmental changes. He has pioneered methods to correlate sediment sequences globally using geomagnetic field features, particularly in arid regions like the Mojave Desert and Bering Sea. Publications Trends: Lund’s recent articles emphasize high-resolution paleomagnetic studies of deep-sea sediments and lake cores, focusing on MIS stratigraphy and geomagnetic excursions. His work bridges Quaternary climate variability and core-based dating techniques, with a regional focus on California, Nevada, and the Pacific margins. Collaborations with multidisciplinary teams (e.g., on IODP/ODP expeditions) highlight his methodological innovation and global data integration. Awards & Grants: While no explicit awards are listed, his sustained contributions to paleomagnetic field analysis and climate studies reflect recognition in the scientific community. He has led or co-led major drilling initiatives (e.g., IODP 323) and U.S. Geological Survey projects, securing grants for long-term sedimentary and geochemical investigations. Labs & Teams: Lund collaborates with the USC Department of Earth Sciences and external agencies like the IODP and USGS. His research leverages core repositories and field campaigns, emphasizing spatial-temporal analysis of geomagnetic and climatic records across North America and the Pacific.