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Sue ForceView profile

Senior Lecturer

• Human Nutrition
• Sports Nutrition
• Metabolomics
• +5 more

Dr. Sue Force is a Senior Lecturer in Human and Sports Nutrition at the University of Greenwich's School of Science, within the Faculty of Engineering and Science. She holds a PhD and has extensive experience in pharmaceutical research and development, including work on omega-3 fatty acids and analytical technologies. Her current role involves teaching nutrition-related courses, developing online learning materials, and providing e-learning support to staff. Education: PhD (specific field not detailed) Research Interests: Focuses on dietary flavonoids' health effects, metabolomics, nutrigenomics, and the application of advanced analytical tools like mass spectrometry. Maintains an interest in omega-3 fatty acids stemming from her 1970s–80s research at the Wellcome Research Foundation. Teaching & Consultancy: Teaches BSc Human Nutrition and Sports Science students, supports online course development, and undertakes periodic consultancy for food producers and universities. Provides training in e-learning tools for staff.

Shane SawyerView profile

Lecturer

• Numerical Analysis
• Fractional Partial Differential Equations
• High Performance Computing
• +3 more

Shane Sawyer is a Term Lecturer and PhD candidate in Mathematics at the University of Tennessee, Knoxville, within the College of Arts and Sciences. His research focuses on numerical analysis of fractional PDEs, high-performance computing, and machine learning applications in mathematical frameworks. He holds a BSc (3.8/4.0) and MEng (3.7/4.0) in Computational Engineering and Applied Mathematics from the University of Tennessee at Chattanooga. Research Interests: Numerical Analysis of Fractional PDEs Algorithm Development for PDE Solutions Machine Learning and Approximation Theory High Performance Scientific Computing Recent Publications: His work includes HPC-BLAST acceleration for bioinformatics, finite volume flow solvers, and aerospace CFD simulations. These articles reflect trends in computational methods for complex systems and parallel computing optimizations. Awards: Recipient of the Winston L. Massey Memorial Mathematics Award (2006) and Outstanding Senior Award (2005). Teaching & Research Experience: Graduate Teaching Assistant (2020–Present) leading flipped-classroom College Algebra courses. Previous roles include research on machine learning foundations (2019–2020) and bioinformatics acceleration (2016–2019). Collaborative projects with Oak Ridge National Lab and academic partners. Labs/Teams: Involved in Joint Institute for Computational Sciences (JICS) projects and UT SimCenter collaborations.

• Snow Hydrology
• Remote Sensing
• Climate Science
• +3 more

Dr. McKenzie Skiles is an Associate Professor at the University of Utah's School of Environment, Society & Sustainability, leading the Snow Hydrology Research-to-Operations Laboratory (Snow HydRO Lab). Her work focuses on snow hydrology, dust-on-snow radiative forcing, and remote sensing applications to assess snowpack dynamics and water security in semi-arid mountain regions. She holds a PhD in Geography from UCLA (2014), alongside multiple degrees from the University of Utah, including dual BS in Geography and Environmental Studies (2008) and an MS in Geography (2010). Her academic journey includes a postdoc at Caltech/JPL (2015–2016) and prior roles as an Assistant Professor at the University of Utah (2017–2023) and Utah Valley University (2016–2017). Her research integrates field observations, numerical modeling, and remote sensing to quantify how light-absorbing particles (dust, black carbon) accelerate snowmelt, impacting water resources in the Western U.S. Key projects include the Dust^2 initiative and the Surface Atmosphere Integrated Field Laboratory (SAIL). Recent work highlights the shrinking Great Salt Lake's role in increasing dust-on-snow events in the Wasatch Mountains. Publications emphasize snow albedo modeling, dust radiative forcing, lidar applications, and machine learning for snow water equivalent estimates. Collaborations span federal agencies (NASA, NOAA) and universities, with a focus on bridging science and operational water management.

Alex ChenView profile

Assistant Professor

• High Energy Astrophysics
• Neutron Stars
• Black Holes
• +6 more

Alex Chen is an Assistant Professor in the Department of Physics at Washington University in St. Louis. He is affiliated with the McDonnell Center for the Space Sciences and leads a research group focused on astrophysical plasma dynamics. His work involves GPU-based supercomputer simulations to study radiative processes and plasma physics near compact objects like neutron stars and black holes. Alex holds a PhD in Physics from Columbia University (2017) and has held postdoctoral positions at Princeton University’s Department of Astrophysical Sciences and JILA at the University of Colorado Boulder. His research expertise spans multi-wavelength pulsar emission mechanisms, fast radio bursts (FRBs), magnetic reconnection in extreme environments, and gamma-ray flares from active galactic nuclei (AGN). Research interests include: High Energy Astrophysics Neutron Stars and Magnetars Black Hole Magnetospheres Relativistic Plasma Simulations Radiation Physics in Strong Magnetic Fields AI Applications in Medicine and Astronomy Notable grants include a 2023 NSF award co-led with Yuan to simulate pulsar magnetospheres. His recent studies highlight interdisciplinary efforts, such as evaluating AI systems in medicine and developing open-source tools like the CompactObject package for neutron star analysis. Alex also contributes to the HEX-P X-ray probe project targeting magnetars. Labs/Teams: His research group collaborates with the McDonnell Center for the Space Sciences, leveraging advanced computational frameworks like APERTURE and Gemini 1.5 to tackle complex astrophysical problems. He emphasizes mentorship through initiatives like undergraduate research programs.

Qiang LiuView profile

Professor

• Dielectric Fluids
• High Voltage Insulation
• Transformer Engineering
• +2 more

Qiang Liu is Professor of High Voltage Engineering at the University of Manchester and Head of the High Voltage Research Group. He holds a Ph.D. in Electrical Power Engineering from University of Manchester (2011), M.Eng. from Xi’an Jiaotong University (2008), and B.Eng. from Xi’an Jiaotong University (2005). His research focuses on dielectric fluids applications in power equipment, discharge mechanisms, transformer thermal modeling, and high voltage insulation systems. Specific interests include environmentally friendly insulating liquids, breakdown mechanisms, transformer thermal performance, and asset management. He chairs the Cigre D1.01 Advisory Group on Dielectric Liquids and serves as associate editor of IET High Voltage Journal. Research outputs demonstrate consistent focus on improving insulation reliability for power systems, with recent work on dielectric fluids characterization, thermal modeling, and advanced diagnostic techniques. Publications combine experimental investigations with computational approaches for practical applications. Awards include the Best Paper Award at CIGRE Paris Session 2018 for research on gas-to-liquid transformer oils.

Hugh CoeView profile

Professor

• Atmospheric Composition
• Air Pollution
• Climate Effects
• +7 more

Hugh Coe is a Professor of Atmospheric Composition at The University of Manchester and Director of the Manchester Environmental Research Institute (MERI). He also serves as a visiting Professor at Fudan University. His research focuses on air pollution processes, regional climate impacts, and large-scale atmospheric field studies, including biomass burning, transboundary pollution, and clean atmosphere dynamics. His work has led to over 300 peer-reviewed publications and an h-index of 69, earning recognition as one of the 100 Most Highly Cited Geoscientists (2014, 2018) and recipient of the 2022 Vilhelm Bjerknes Medal from the European Geophysical Union. Education : BSc Physics, Newcastle University (1989) PhD, University of Manchester Institute of Science and Technology (UMIST, 1993) Research Interests : Aerosol composition and processes Atmospheric measurements (including aircraft-based) Climate-air pollution interactions International field campaigns (e.g., India-UK collaboration on the Indo-Gangetic Plain) Urban air quality modeling (e.g., UK CleanAir OSCA project) Awards & Projects : Lead of UKRI-funded OSCA project NERC Digital Solutions Programme (Co-Investigator) Contributions to UN Sustainable Development Goals (SDGs) on clean energy and environmental sustainability Labs & Teams : Leads the Atmospheric Science research group at The University of Manchester and collaborates with the Centre for Atmospheric Sciences. His work integrates observational data with advanced modeling for policy-relevant insights.

Roman StockerView profile

Professor

• Microbial Ecology
• Ecohydraulics
• Aquatic Microbiology
• +7 more

Roman Stocker is a Full Professor in the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich, where he leads an interdisciplinary research group combining engineering, physics, biology, and mathematics. His laboratory develops cutting-edge microfluidic and imaging technologies to study microbial processes in aquatic environments at the single-cell level. His research spans Microbial Ecology , Ecohydraulics , Biofilms , and Phytoplankton-Bacteria Symbiosis , with emphasis on how microscale processes drive ocean-scale biogeochemical cycles. Key methodologies include microfluidics, video microscopy, and mathematical modeling to investigate bacterial motility, chemotaxis, and environmental responses. His recent publications reveal fundamental mechanisms like shear-induced bacterial conjugation hotspots (PNAS 2025) and starvation motility trade-offs (Nature Microbiology 2025), demonstrating how physical forces shape microbial behavior. His work consistently bridges laboratory observations with environmental-scale implications. Major awards include: Symbiosis in Aquatic Systems Initiative Investigator Award (Moore Foundation) Simons Collaboration on Microbial Ecosystems Golden Owl Teaching Award (ETH Zurich) Milton Van Dyke Award (American Physical Society) Stocker teaches Hydraulics I and Ecohydraulics courses while leading field deployments worldwide. His lab comprises specialized teams including the Ecohydraulics Group (led by Luiz G.M. Silva) and bioMatter Microfluidics Unit (led by Eleonora Secchi), supported by SNSF, GBMF, and NCCR Microbiome grants. Current projects focus on coral microbiome dynamics, soil-water interfaces, and fish passage engineering.

• Nuclear Engineering
• Superconducting Magnets
• Fusion Reactor Design
• +2 more

Dr. Andrea Zappatore is an Assistant Professor in the Department of Energy at Polytechnic University of Turin, specializing in nuclear engineering and fusion technology. His research focuses on superconducting magnet systems for tokamak reactors, including thermal-hydraulic analysis and quench propagation modeling. Prof. Zappatore works on experimental characterization of superconducting conductors for fusion applications, particularly for ITER and DEMO reactors. His group develops advanced computational models for electromagnetic and thermo-mechanical behavior of fusion magnet systems. He contributes to the Divertor Tokamak Test (DTT) facility design and collaborates on international projects including ITER central solenoid testing. Prof. Zappatore supervises graduate research in fusion engineering applications.

Barbara KirchnerView profile

Professor

• Theoretical Chemistry
• Physical Chemistry
• Computational Chemistry
• +3 more

Barbara Kirchner is a Professor of Theoretical Chemistry at the University of Bonn. Her research focuses on the structural and dynamic properties of ionic liquids, employing advanced computational techniques such as ab initio molecular dynamics and cluster analysis. She explores applications in energy storage, electrochemistry, and environmental science, including drug interactions with nanoplastics and solvation phenomena in novel solvents. Her work also addresses methodological challenges in simulations and data reliability, contributing to tools like TRAVIS and CONAN for analyzing molecular trajectories in confined spaces. Her research interests span the theoretical and computational study of ionic liquids, with emphasis on their behavior in confined environments, interfacial effects, and interactions with other molecules. She investigates topics like proton transfer mechanisms (Grotthuss diffusion), catalytic processes, and the environmental implications of nanoplastics. Methodological contributions include refining cluster weighting algorithms and quantum equilibrium theories to predict thermodynamic and spectroscopic properties accurately. Barbara Kirchner has not explicitly mentioned scientific awards in the provided texts. Her recent articles highlight trends in understanding ionic liquid electrolytes, drug-nanoplastic interactions, and the development of simulation tools. She collaborates on interdisciplinary projects, such as solvent design for organic reactions and the study of magnesium battery systems, reflecting her commitment to bridging theory and practical applications in chemistry and materials science.

David MobleyView profile

Professor

• Chemical Biology
• Physical Chemistry
• Computational Chemistry
• +3 more

David Mobley is a Professor in the Department of Chemistry at the University of California, Irvine (UCI), affiliated with the School of Physical Sciences. His research focuses on applying computational and theoretical methods to understand biological processes such as protein-ligand binding and solvation, with applications in drug design. He co-leads the Open Force Field Initiative, driving open-source molecular modeling tools and community efforts like the SAMPL Challenges and Open Free Energy project. Research Interests include chemical biology, physical chemistry, and computational methods for predicting molecular interactions. He emphasizes collaborative projects, including developing transferable force fields and advancing free energy calculation techniques. Recent work highlights advancements in force field parametrization, machine learning applications in molecular mechanics, and benchmarking methodologies. His lab's contributions include the Open Force Field v2.0, the Konnektor framework for free energy networks, and tools like alchemlyb for alchemical free energy calculations. Dr. Mobley’s research also addresses challenges in water sampling, binding free energy predictions, and collaborative initiatives such as the SAMPL blind challenges. His team works on improving simulation accuracy for industrial and academic applications.

Michael WernerView profile

Research Professor

• Cell Biology
• Cytoskeleton Dynamics
• Cytokinesis
• +4 more

Michael Werner is a Research Professor in the Department of Biology at the University of North Carolina at Chapel Hill. His research focuses on cytoskeletal dynamics, particularly how the cytoskeleton regulates cell division, oocyte formation, and ciliary beating. He employs advanced microscopy and data analysis techniques to study cellular processes like cytokinesis and syncytial germline organization. His work combines experimental and computational approaches to understand mechanical and biochemical feedback mechanisms driving cellular behaviors. Werner's research interests span multiple subdisciplines, including cytokinesis, microtubule dynamics, and cilia biology. He has contributed to studies on septin functionality, cilia orientation defects, and the role of CLAMP/Spef1 in cell polarity. His lab’s recent work explores the interplay between mechanical forces and biochemical signals in cellular contractility, with implications for developmental biology and disease mechanisms. In teaching and outreach, Werner emphasizes active learning strategies and problem-driven instruction to foster student engagement in cell biology. He maintains an open lab website and collaborates widely in the field, though specific grant details or awards are not explicitly mentioned in available texts.

Masaki HayashiView profile

Professor

• Alpine Hydrology
• Permafrost Hydrology
• Prairie Hydrology
• +2 more

Masaki Hayashi is a Professor at the University of Calgary's Department of Earth, Energy, and Environment, specializing in physical hydrology across diverse environments. Educational Background: PhD Earth Sciences, University of Waterloo, 1997 MS Earth Sciences, Chiba University, 1990 BS Earth Sciences, Waseda University, 1986 His research integrates field observation with mathematical analysis to study physical processes in the hydrologic cycle. Current projects investigate alpine hydrology in the Rockies, permafrost hydrology in sub-Arctic regions, prairie hydrology, and Banff hot springs hydrogeology. He leads a research team within the CREATE for Water Security program. Recent publications focus on alpine aquifer characterization, permafrost modeling innovations, and groundwater response to climate variability across various spatial scales. Scientific Awards: Henry Darcy Distinguished Lecturer, National Groundwater Association (2018) Canada Research Chair (Tier 2, 2007-2017) Canadian Geophysical Union Meritorious Service Award (2011)

Peter TielemanView profile

Professor

• Molecular Simulation
• Biophysics
• Membrane Biology
• +4 more

Peter Tieleman is a Professor in the Department of Biological Sciences at the University of Calgary and holds the NSERC Canada Research Chair (CRC I) in Molecular Simulation. His work focuses on computational biophysics, particularly studying membrane proteins, lipid bilayers, and drug-membrane interactions using molecular simulations. He leads the Biocomputing Group and the Centre For Molecular Simulation. Education: PhD in Chemistry, University of Groningen (1998) EMBO Fellowship in Molecular Biophysics, University of Oxford (2000) MSc and MA in Chemistry and Philosophy, University of Groningen (1995) Postdoctoral Fellowship in Biophysical Chemistry, University of Groningen (1999) Research Interests: Theoretical techniques linking structure and function of biomolecules, membrane protein simulations, lipid-protein interactions, and computational drug discovery. His lab develops coarse-grained models like the Martini force field for biomolecular simulations. Awards: Fellow of the Royal Society of Chemistry (2015) Killam Annual Professorship (2015) Rutherford Memorial Medal in Chemistry (2008) E.W.R. Steacie Memorial Fellowship (2009) Teaching & Leadership: Teaches courses like BCEM 471 (Physical Biochemistry) and BCEM 577 (Biomolecular Simulation). Holds leadership roles in research grants and international collaborations, including the AITF Tier 1 Strategic Chair (2012). Active in advancing FAIR principles for computational data sharing. Labs & Teams: Directs the Biocomputing Group and the Centre For Molecular Simulation , focusing on collaborative computational and experimental approaches to membrane biology.

• Bayesian Statistics
• Biostatistics
• Mixture Models
• +6 more

Mahlet G. Tadesse is a Professor and Chair of the Department of Mathematics & Statistics at Georgetown University. She previously held an Assistant Professor position at the University of Pennsylvania. She earned her Ph.D. and M.Sc. in Biostatistics from Harvard University and a B.S. in Mathematics from the University of the District of Columbia. Her research focuses on developing statistical and computational tools for analyzing genomic data, with emphasis on Bayesian methods, variable selection, and integrative approaches to genomic data analysis. Her expertise spans Bayesian statistics, biostatistics, mixture models, and omics-based bioinformatics. She investigates high-dimensional datasets to identify biological markers, predict clinical outcomes, and integrate biological knowledge into genomic studies. Current projects include biomarker discovery for hepatocellular carcinoma, analysis of maternal-fetal genetic interactions, and modeling species dynamics in biodiversity-rich ecosystems. Dr. Tadesse has published extensively on topics such as Bayesian variable selection, integrative genomics, and computational methods in proteomics and metabolomics. Her work bridges statistical theory and application, addressing challenges in precision medicine, cancer biology, and ecological dynamics. Scientific Awards: Elected Member of the International Statistical Institute (2006), Fellow of the American Statistical Association (2013) Her contributions include advancing alignment methods for LC-MS data, developing hierarchical models for multi-omics integration, and exploring racial disparities in cancer outcomes. She leads Georgetown’s Mathematics & Statistics Department, fostering interdisciplinary research and education in data science.

Alexander TselevView profile

Research Professor

• Scanning Probe Microscopy
• Nanomaterials
• Energy Storage Materials
• +3 more

Alexander Tselev is a Principal Researcher at the CICECO-Aveiro Institute of Materials, Department of Physics, University of Aveiro, Portugal. His research focuses on nanoscale functional characterization of materials using advanced microscopy techniques such as near-field scanning microwave microscopy and scanning thermal wave microscopy. He has held roles at institutions including Oak Ridge National Laboratory, Duke University, and the University of Maryland. Education: B.Sc./M.Sc. Summa Cum Laude in Radiophysics and Electronics, Nizhny Novgorod State University, Russia (1991) Ph.D. in Materials Science, Dresden University of Technology, Germany (2000) Research Interests: Functional material characterization via scanning probe microscopy Nanostructured materials for energy storage and conversion Electrocaloric and ferroelectric phenomena In-situ microscopy of complex oxides Key Achievements: Developed novel calibration methods for thermal probes Discovered multifunctional hybrid perovskites with unique orientation states Pioneer in electrocaloric material applications for energy-efficient cooling Awards: 2017 Tan Chin Tuan Exchange Fellowship (Nanyang Technological University) 1998 E-MRS Graduate Student Award Grants & Projects: Local Coordinator for EU-funded project 'Ensign' on nanoscale characterization Ongoing research on defect engineering in 2D materials Collaborations with institutions worldwide Labs/Teams: Active in CICECO’s Advanced Materials Characterization Group and collaborates with Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences.