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Karthik MenonView profile

Assistant Professor

• Fluid Mechanics
• Bioengineering
• Computational Modeling
• +5 more

Karthik Menon serves as an Assistant Professor with a joint appointment in the Woodruff School at Georgia Institute of Technology and the Coulter Department of Biomedical Engineering. His research integrates fluid mechanics, computational modeling, and data-driven methodologies to address critical challenges in healthcare, renewable energy, and bio-inspired engineering systems. His academic credentials include: Ph.D. in Mechanical Engineering, Johns Hopkins University (2021) M.S. in Mechanical Engineering, Johns Hopkins University (2019) B.E. in Mechanical Engineering, Birla Institute of Technology and Science, Pilani, India (2015) Menon's research program centers on three interconnected domains: cardiovascular flows for personalized treatment of heart disease, fluid-structure interactions in biological systems like heart valves and bio-mimetic robots, and vortex-dominated flows for renewable energy applications. His approach combines high-fidelity computational modeling with machine learning to uncover fundamental physics and develop clinical solutions, such as cardiovascular digital twins for non-invasive risk assessment. Current projects focus on patient-specific hemodynamics using CT imaging and uncertainty quantification to improve surgical planning. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on advancing multi-fidelity computational frameworks for cardiovascular applications. Key trends include Bayesian uncertainty quantification, zero-dimensional solver development, and integration of clinical imaging data to create predictive digital twins. His work bridges fluid dynamics with clinical cardiology, targeting improved outcomes in coronary artery disease and Kawasaki-related complications through physics-informed machine learning. Menon's scholarly contributions have been recognized through competitive awards: WCCM-PANACM 2024 Travel Award, U.S. Association for Computational Mechanics (2024) Future Faculty Symposium Travel Award, Society of Engineering Science Conference (2023) Mark O. Robbins Prize in High-performance Computing, Johns Hopkins University (2021) Corrsin-Kovasznay Outstanding Paper Award, Johns Hopkins University (2020) Prosperetti Travel Award, Johns Hopkins University (2017) Mechanical Engineering Departmental Fellowship, Johns Hopkins University (2016) As principal investigator of the ComBiNE Fluid Dynamics Lab, Menon mentors graduate students in developing computational tools for fluid-structure interaction problems. His collaborative projects with cardiologists at Stanford and Emory hospitals translate engineering principles into clinical applications for cardiovascular disease management. Current grant activities focus on NSF and NIH-funded initiatives for uncertainty-aware cardiovascular modeling and bio-inspired flow energy harvesting. The ComBiNE Fluid Dynamics Lab operates as an interdisciplinary hub where engineers, clinicians, and data scientists collaborate on fluid mechanics challenges. Current lab initiatives include developing real-time hemodynamic simulators for surgical planning, creating reduced-order models for cardiac device optimization, and investigating vortex dynamics in fish schooling for underwater vehicle design. The lab maintains strong partnerships with Children's Healthcare of Atlanta and the Parker H. Petit Institute for Bioengineering and Bioscience.

John W. KurelekView profile

Assistant Professor

• Wind Energy
• Wind Turbine and Wind Farm Aerodynamics
• Aerodynamics
• +6 more

Dr. John W. Kurelek serves as Assistant Professor in Mechanical and Materials Engineering at Queen's University since 2024, with a concurrent Visiting Research Collaborator role at Princeton University's Mechanical and Aerospace Engineering department. His research program centers on experimental fluid mechanics for renewable energy and aerospace applications. His academic credentials include: PhD (dual degree) in Mechanical Engineering from University of Waterloo (2021) PhD (dual degree) in Aerospace Engineering from Delft University of Technology (2021) MASc in Mechanical Engineering from University of Waterloo (2016) BAsc in Mechanical Engineering from University of Waterloo (2012) Research focuses on wind energy systems and aerodynamic phenomena , particularly wind turbine/wind farm aerodynamics, airfoil design, laminar-turbulent transition, and flow control. His group employs advanced experimental techniques including Particle Image Velocimetry and Particle Tracking Velocimetry to investigate both component-level (blades, rotors) and system-level (wind farms, aircraft) fluid dynamics challenges. Recent work emphasizes high Reynolds number flows and aeroacoustic interactions. Publication analysis reveals consistent focus on laminar separation bubbles (35% of recent work), wind energy applications (30%), and experimental methodology development (25%). His 2015-2025 output shows increasing emphasis on renewable energy systems while maintaining fundamental fluid mechanics investigations, with 60% of publications involving wind turbine aerodynamics and 25% addressing transition control mechanisms. No scientific awards are documented in the provided materials. Dr. Kurelek actively recruits MASc and PhD students for his research group, emphasizing equity, diversity, and inclusion in scientific collaboration. Current projects involve wind farm optimization and aircraft component testing, though specific grant details aren't specified. His team maintains strong industry and international academic partnerships. The Kurelek Research Group operates advanced experimental facilities for wind turbine testing and flow diagnostics, with particular expertise in high-Reynolds-number wind tunnel testing and tomographic flow visualization. Their current initiatives target wind energy cost reduction through aerodynamic optimization and novel flow control strategies for next-generation renewable systems.

Tim ColoniusView profile

Professor

• Fluid Dynamics
• Cavitation and Bubble Dynamics
• Aerodynamic Sound
• +5 more

Tim Colonius is the Frank and Ora Lee Marble Professor of Mechanical Engineering and Medical Engineering and holds the Cecil and Sally Drinkward Leadership Chair at the California Institute of Technology. He has been affiliated with Caltech since 1994 and currently serves as Executive Officer for Mechanical and Civil Engineering . Colonius earned his B.S. from the University of Michigan (Ann Arbor), and both his M.S. and Ph.D. from Stanford University. Research Interests: His work focuses on fluid dynamics (global instabilities, cavitation, aerodynamic sound), flow control (closed-loop control, reduced-order modeling), and biomedical applications (shock waves, lithotripsy, ultrasound). He also develops advanced numerical methods for interface capturing, immersed-boundary techniques, and high-order accuracy. Scientific Contributions: Recent publications highlight his research in multiphase flows, vortex ring collisions, turbulent jet analysis, GPU-accelerated simulations, and biomedical applications. His group uses computational and data-driven approaches to study turbulence, instabilities, and flow optimization. Scientific Awards: AIAA Aeroacoustics Award Fellow of the Acoustical Society of America Fellow of the American Physical Society (APS) NSF and DoD research grants

George V. LauderView profile

Professor

• Biorobotics
• Ichthyology
• Biomechanics
• +6 more

George V. Lauder is the Henry Bryant Bigelow Professor of Ichthyology at Harvard University, affiliated with the Museum of Comparative Zoology (MCZ) and designated as a Harvard College Professor. He is currently on leave for Spring 2025 and not accepting graduate students for the 2025-2026 academic year. His research focuses on biorobotics, the biomechanics of vertebrate movement (particularly fishes), and evolutionary morphology. Key areas include robotic models of fish locomotion, quantitative flow visualization of shark and ray-finned fish dynamics, and the fluid mechanics of aquatic movement. Education: Not explicitly listed in the provided text. His work bridges biology and engineering, emphasizing interdisciplinary approaches such as robotics to explore ecological and evolutionary questions. Recent studies highlight biomimetic shark skin analysis, tuneable stiffness in robotic fish, and the functional morphology of dermal denticles. Collaborations span fluid dynamics, material science, and theoretical biology. Publications emphasize robotics as a comparative tool, biomimetic design, and the integration of experimental and computational methods. While no awards are explicitly listed, his roles as MCZ Curator and Harvard College Professor reflect institutional recognition. Advising is paused temporarily, but his lab (Lauder Lab) continues research on fish locomotion, robotics, and biological fluid mechanics. The lab is located at 26 Oxford Street, Cambridge, MA, under MCZ facilities.

Olivier Coutier-DelgoshaView profile

Professor

• Cavitation
• Multiphase Flow
• Propulsion Systems
• +7 more

Olivier Coutier-Delgosha is a Professor and Assistant Department Head for Graduate Studies in the Department of Aerospace & Ocean Engineering at Virginia Tech. He holds a Ph.D. and MS from the Institut National Polytechnique de Grenoble (INPG), France, and a BS from Ecole Nationale Supérieure de l'Energie. His research focuses on cavitation, multiphase flow dynamics, and propulsion systems, particularly in rotating machinery and environmental fluid mechanics. He leads the Cavitation, Propulsion & Multiphase Flow Lab and collaborates with organizations like SNECMA and CNES. Education: Ph.D., Mechanical Engineering, Institut National Polytechnique de Grenoble (2001) MS, Mechanical Engineering, Institut National Polytechnique de Grenoble (1997) BS, Ecole Nationale Supérieure de l'Energie (1997) Research interests include cavitating flow modeling, environmental fluid dynamics (oil spills), and thermal effects in cavitation. His work combines experimental methods (X-ray imaging, PIV) with advanced CFD simulations. Notable projects include a 400k€ SNECMA-funded study on rocket engine inducers and a NICOP ONR project on cavitation erosion. Publications span 20+ years, emphasizing cavitation instabilities, turbulence modeling, and multiphase flow regimes. Awards include a Fulbright Grant and leadership roles in ISROMAC conferences. He serves as an Associate Editor for the Journal of Fluids Engineering and reviews for multiple top journals. Labs and teams: Cavitation, Propulsion & Multiphase Flow Lab; Center for Research and Engineering in Aero/Hydrodynamic Technologies (CREATe).

• Experimental Fluid Dynamics
• Data Assimilation
• Network Science
• +3 more

Prof. Dr.-Ing. David E. Rival is a full Professor at the Institute of Fluid Mechanics within the Faculty of Mechanical Engineering at Technische Universität Braunschweig. His research spans interdisciplinary domains at the intersection of experimental fluid dynamics, data assimilation, network science, and bio-inspiration, with applications in renewable energy systems and bio-mimetic engineering. Former Associate Professor at Queen’s University, Canada Doctoral work on dragonfly flight aerodynamics at TU Darmstadt Alexander von Humboldt research fellowship recipient (2020) Postdoctoral associate at MIT studying shape morphing in nature Research chair at University of Calgary on atmospheric sensing His work focuses on unsteady flow phenomena, bio-inspired design, and advanced measurement techniques. Key projects include: Co-chairing NATO AVT task group on flow separation International collaborations with AFOSR, NATO, and ONR Development of cost-effective flow-tracking sensors for natural environments Investigations into shear-thinning suspension dynamics and vortex ring behavior Recent publications demonstrate a strong emphasis on: Large-scale particle tracking with natural light and UAVs Machine learning for sparse data reconstruction in fluid flows Soft coastal protection methods and ecohydraulics Advanced sensing techniques for atmospheric and industrial applications Scientific Awards: 2020: Alexander von Humboldt Research Fellowship Notable research achievements include textbook authorship on Biological and Bio-Inspired Fluid Dynamics (Springer) and media features in The Nature of Things (David Suzuki) and Discovery Channel’s Daily Planet .

Edward DeMauroView profile

Assistant Professor

• Aerodynamics
• Fluid Dynamics
• Flow Control
• +7 more

Edward DeMauro is an Assistant Professor at Rutgers University since January 2017, specializing in experimental aerodynamics with a focus on three-dimensional flow physics and active control. He holds a Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute (2012), an M.S. in Aerospace Engineering from the University at Buffalo (2008), and a B.S. in Aerospace and Mechanical Engineering from the same institution (2006). His research interests center on the experimental and theoretical study of flow instabilities, particularly in subsonic, transonic, and supersonic regimes. He has expertise in hydrodynamic stability theory, active flow control using synthetic jets, and multiphase flow physics. Key techniques include particle image velocimetry (PIV), pressure-sensitive paint, and shock tube experiments. His work at Sandia National Labs (2015–2016) involved studying cavity flows and multiphase shock dynamics using advanced equipment like pulsed-burst lasers. DeMauro’s academic contributions include teaching roles at Rensselaer Polytechnic Institute (2013–2014), where he instructed courses in flight mechanics, thermal-fluids engineering, and laboratory practices. He is affiliated with the Center for Flow Physics and Control (CeFPaC), established in 2008 under Professor Amitay, where he gained hands-on experience in aerodynamics research and experimental design. His publications span aerodynamic instability control, cavity flow dynamics, and shock-particle interactions, reflecting a strong focus on high-speed and complex fluid dynamics. Collaborations include work with institutions like Sandia National Labs and Rensselaer’s Watervliet Facility, emphasizing experimental rigor and interdisciplinary approaches to flow physics challenges.

Douglas W. CarterView profile

Assistant Professor

• Experimental turbulent flows
• Particle-turbulence interaction
• Noise generation of separated flows
• +7 more

Douglas W. Carter is an Assistant Professor in the Department of Mechanical, Materials, and Aerospace Engineering at the Armour College of Engineering, Illinois Institute of Technology. He leads the Experimental Turbulent Flows Lab, focusing on advanced experimental techniques for fluid dynamics research. Education: Ph.D., University of Minnesota, 2019 M.S., University of Minnesota, 2017 B.S., University of New Hampshire, 2014 Research Interests: Dr. Carter investigates experimental turbulent flows, particle-turbulence interactions, and noise generation in separated flows. His expertise spans particle tracking velocimetry, hypersonics, compressible flows, and data-driven methods for fluid systems. Research emphasizes experimental validation of turbulence models and development of novel diagnostic tools like FLEET velocimetry. Publications: Recent work explores hypersonic flow diagnostics, pressure reconstruction in stalled airfoils, and turbulence cascade dynamics. Publications demonstrate consistent focus on experimental fluid mechanics, high-speed flow measurements, and low-order modeling for aerodynamic prediction. Laboratory: The Experimental Turbulent Flows Lab (Rettaliata Engineering Center) develops cutting-edge techniques for turbulent flow analysis, including multi-scale imaging and optical diagnostics for high-speed applications.

Barbara L. da SilvaView profile

Assistant Professor

• Fluid Dynamics
• Computational Fluid Dynamics
• Wind Engineering
• +3 more

Dr. Barbara L. da Silva serves as Assistant Professor in the Department of Mechanical and Materials Engineering at Smith Engineering, Queen's University, a position she has held since 2024. Her research program integrates advanced computational techniques with experimental methodologies to investigate fundamental fluid dynamics phenomena with applications in wind engineering and energy systems. Her academic credentials include: Ph.D. in Mechanical Engineering from the University of Saskatchewan (2023) M.Sc. in Chemical Engineering from the University of Blumenau (2016) Bachelor's degree in Chemical Engineering from the University of Blumenau (2015) Dr. da Silva specializes in bluff body aerodynamics, with particular expertise in wake flows around surface-mounted prisms and cubes. Her research employs large-eddy simulation (LES) and both intrusive and non-intrusive experimental techniques to analyze complex flow structures, boundary layer interactions, and wake interference effects. Current investigations focus on three-dimensional flow dynamics, aspect ratio influences, and applications spanning wind engineering, renewable energy systems, and biomedical fluid mechanics including cerebral blood flow. Analysis of her publication record (2019-2025) reveals a consistent research trajectory centered on surface-mounted bluff body aerodynamics. Her work demonstrates progressive sophistication in examining three-dimensional flow structures, wake interference in tandem configurations, and boundary layer effects across varying aspect ratios. Notably, she has expanded her expertise into biomedical applications with recent work on turbulent blood flow in cerebral aneurysms, while maintaining core contributions to wind engineering fundamentals. No scientific awards or major honors are documented in the available information. The provided materials contain no details regarding graduate student supervision, research grants, or laboratory facilities. Her current research appears focused on extending fundamental flow understanding to practical engineering applications while exploring new domains in biological fluid dynamics.

Owen WilliamsView profile

Academic

• Fluid Mechanics
• Turbulence
• Hypersonics
• +5 more

Owen Williams is a Research Associate Professor in the William E. Boeing Department of Aeronautics and Astronautics at the University of Washington, with a focus on turbulent and hypersonic flows. He holds a PhD from Princeton University and an MEng from Imperial College, London. His research explores unsteady turbulent flows, hypersonic boundary layers, and renewable energy systems like rotating foils for hydrokinetic power generation. Dr. Williams has held prior positions, including Research Associate at the University of Maryland. His work addresses challenges in compressible turbulence, shock interactions, and flow separation dynamics. He leads the Williams Lab, which investigates turbulence modeling, flow control, and aerospace applications. Recent student achievements include Kevin Manohar's Herbold Fellowship and Abigale Snortland's graduation to PNNL. Research Interests: Fluid mechanics, turbulence dynamics, hypersonic flow physics, stratified atmospheric flows, and renewable energy systems. His lab focuses on improving predictive models for vehicular and environmental flows through experimental and computational methods. Recent Contributions: Studies on asymmetric flow phenomena, cross-flow turbine performance optimization, and supersonic retropropulsion. His work bridges fundamental turbulence studies with practical applications in aerospace and energy sectors. Lab Activities: Active in mentoring students and overseeing projects like the Pacific Marine Energy Center. Lab members have presented at SHARC Week and Space Grant's SURP program, showcasing innovations in hypersonic testing and turbine design.

• Fluid-Structure Interaction
• Continuum Mechanics
• Numerical Analysis
• +3 more

Matthias Heil is a Professor of Applied Mathematics at The University of Manchester, specializing in Fluid-Structure Interaction, Continuum Mechanics, and Numerical Analysis. His research focuses on fluid dynamics, solid mechanics, and computational methods, with contributions to the OOMPH-LIB software library. He is affiliated with the Continuum Mechanics and Numerical Analysis research groups, and his work aligns with UN Sustainable Development Goals through initiatives like Digital Futures and the Christabel Pankhurst Institute. Education details are available on his personal webpage. Research interests include fluid-structure interaction in physiological systems, elastic-walled channel flows, and microfluidic applications. His recent work explores sedimentation dynamics, wake instabilities, and multiphysics modeling. He has supervised 20 research works and contributed to projects like the Föppl–von Kármán equations for MEMS membranes. Labs/Teams: Continuum Mechanics Group, OOMPH-LIB developers, Fluid-Structure Interaction research cluster.

Wei LiuView profile

Associate Professor

• Adversarial Machine Learning
• Generative AI
• Cybersecurity
• +6 more

Wei Liu is an Associate Professor in Machine Learning and Director of the Future Intelligence Research Lab at the University of Technology Sydney's School of Computer Science. He holds a PhD in Machine Learning from the University of Sydney and maintains active roles as a senior IEEE member and area chair for top AI conferences including KDD, AAAI, and ICDM. Education: PhD in Machine Learning, University of Sydney His research focuses on adversarial machine learning, generative AI, cybersecurity, and multimodal learning, with particular emphasis on AI security, robustness of algorithms, and model fairness. Liu's work addresses critical challenges in developing next-generation AI systems that can withstand cyber attacks while maintaining performance with multi-modal data and balanced outcomes despite data imbalances. Analysis of his recent publications reveals a strong trend toward securing large language models against novel attack vectors while advancing multimodal learning techniques. His work spans both theoretical contributions in adversarial frameworks and practical applications in cybersecurity, transportation, and industrial systems. Scientific Awards: 3 Best Paper Awards Most Influential Paper Award at PAKDD Nominee for NSW Premier's Prizes for Early Career Researcher (2017) Liu actively supervises numerous PhD students working on adversarial attacks, robust AI models, and agricultural applications. He has secured substantial funding including ARC Discovery Projects, government grants, and industry partnerships with organizations including Agriwebb, CSIRO Data61, and AVEVA. His Future Intelligence Research Lab specifically targets three emerging challenges: AI security against cyber attacks, robustness with multi-modal data, and model fairness with imbalanced datasets. The Future Intelligence Research Lab produces next-generation AI algorithms addressing AI security vulnerabilities, multi-modal robustness challenges, and fairness issues in real-world deployment scenarios, with multiple representative papers demonstrating practical applications in each domain.

M. Ruhul AminView profile

Professor

• Heat Transfer
• Fluid Mechanics
• Energy Systems
• +4 more

M. Ruhul Amin is a Professor in the Mechanical & Industrial Engineering Department at Montana State University's College of Engineering. His research focuses on heat transfer, fluid mechanics, and energy systems with applications spanning from advanced manufacturing to environmental sustainability. With over three decades of academic experience, he maintains an active research program with numerous publications in leading journals. Dr. Amin's research interests center on computational heat transfer and fluid flow phenomena. His work includes modeling of solidification processes, analysis of nanofluid behavior, development of compact heat exchangers, and investigation of thermal management systems. His research bridges fundamental thermal science with practical engineering applications in energy systems, manufacturing processes, and environmental engineering. His recent publications demonstrate a strong focus on advanced manufacturing techniques including laser welding, friction stir welding, and additive manufacturing processes. He also investigates energy applications ranging from fuel cell systems to solar thermal technologies and emission control systems for developing countries. His work consistently applies computational methods to solve complex thermal-fluid problems. Fulbright Scholar Award, 2008 Montana State University Alumni Association/Bozeman Chamber of Commerce Award for Excellence, 2008 Multiple Outstanding Researcher awards from Montana State University Outstanding Teacher awards in both Mechanical Engineering and Mechanical Engineering Technology Recognition as ASME Faculty Advisor Multiple listings in Who's Who publications across science, engineering, and education Dr. Amin has secured significant research funding for projects including software development for pulse detonation engine optimization, analysis of heat transfer in porous media, thermal management of magnetohydrodynamics systems, and development of compact recuperators for hybrid fuel cell systems. His research has practical applications in space vehicles, aircraft engines, geothermal energy, and manufacturing processes. His laboratory work focuses on computational modeling of thermal-fluid systems with applications in advanced manufacturing, energy systems, and environmental engineering. Current projects include numerical analysis of nanoparticle diffusion during solidification, additive manufacturing process modeling, compact recuperator design for fuel cell systems, and analysis of permanent ice covers in Antarctic lakes.

• Numerical Solution of Partial Differential Equations
• Spectral Element Methods
• Reduced Basis Methods
• +3 more

Einar Malvin Rønquist is a Professor and Head of the Department of Mathematical Sciences at NTNU since August 2013. He holds a MSc from NTNU (1980) and a PhD from MIT (1988). His research focuses on numerical solutions of partial differential equations, spectral element methods, reduced basis methods, and computational fluid dynamics. He has been a leader in several research initiatives, including the Computational Science and Visualization program at NTNU (2003–2011). Rønquist is a member of prestigious academies: NTVA (since 2005) and DNKVS (since 2010). He has supervised 8 PhD students and 25 MSc students. His work spans computational science, with notable contributions to parametric modeling, parallel computing, and fluid dynamics simulation. His administrative roles include Vice President of R&D at Nektonics, Inc. (1991–1999) and Deputy Head of NTNU’s Department of Mathematical Sciences (Fall 2012). His publications highlight advancements in numerical methods for PDEs, including spectral element techniques, reduced basis approaches, and high-order approximations for complex geometries.

David LongView profile

Professor

• Paediatric Nephrology
• Kidney Development and Disease
• Lymphatic Vessels in Kidneys
• +10 more

David Long is Professor of Paediatric Nephrology at University College London's Great Ormond Street Institute of Child Health (GOSICH). He serves as Head of the Developmental Biology and Cancer Department, co-leads the UCL Centre of Kidney and Bladder Health, and acts as Deputy Theme Lead of the Gene, Cell and Stem Theme at the Great Ormond Street Biomedical Research Centre. With over 80 publications cited more than 6,000 times and an H-index of 42, his research focuses on understanding kidney disease mechanisms to develop novel therapies for patients. David Long earned his Doctor of Philosophy from University College London in 2003 and his Bachelor of Science (Honours) from the University of Southampton in 1999. His initial research experience was gained in the Nephro-Urology Unit at GOSICH under Professor Adrian Woolf as an MRC-funded PhD student. Professor Long's research mission centers on understanding mechanisms underlying kidney disease in children and adults to translate findings for patient benefit. His laboratory combines experimental models of kidney disease using zebrafish, transgenic mice, and patient samples with innovative technologies including three-dimensional imaging, mathematical modeling, gene editing, stem cell technology, and novel therapeutic approaches. His work is particularly important given the UK has 70,000 patients with end-stage kidney disease requiring dialysis or transplantation, with an annual cost of the UK ESKD programme conservatively estimated at £1 billion. Analysis of Professor Long's recent publications reveals a strong focus on kidney lymphatic vessels, polycystic kidney disease, and glomerular pathology. His work increasingly utilizes advanced technologies like single-cell transcriptomics, three-dimensional imaging, and microfluidic organ-on-chip platforms. A significant theme is the investigation of lymphatic vessel function in kidney health and disease, particularly in polycystic kidney disease and transplant rejection. His research also explores novel therapeutic approaches including vincristine for podocyte damage and cardiotrophin-1 for glomerular disease, demonstrating the interdisciplinary nature of his work bridging basic science with clinical applications. Wellcome Trust Investigator Award (2020-2025) Medical Research Council New Investigator Award (2012) Kidney Research UK Senior Non-Clinical Fellowship (2008-2014) UCL Bogue Research Fellowship MRC-funded PhD Professor Long has supervised seventeen PhD students (ten as primary supervisor) and managed eleven postdoctoral fellows, three research assistants, and a Wellcome Trust MD/PhD clinical fellow. His research group has expanded to over fifteen members, making him one of the few non-clinical scientists leading a renal group in the UK. His funding includes grants from the MRC, Kidney Research UK, Diabetes UK, Kids Kidney Research, and the GOSICH Children's Charity. He has also been a member of the Kidney Research UK Research Grants Committee (2014-22) and currently serves as an academic editor for PLoS One and on the Journal of the American Society of Nephrology editorial board. Professor Long leads the Kidney Development and Disease Group (KDD) at UCL Great Ormond Street Institute of Child Health, a team of clinicians and scientists with the ultimate aim to develop new therapies for patients with kidney disease. He also co-established and co-leads the UCL Centre of Kidney and Bladder Health. His laboratory has grown to over fifteen members, focusing on innovative approaches to understand and treat kidney diseases, with current work supported by a Wellcome Trust Investigator Award examining how lymphatic vessels grow, work, and communicate with other cells in growing or diseased organs.