Dr. Faik Güntac Uzunoglu is a Physician Scientist at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Medical Faculty and the Clinic and Polyclinic for General, Visceral and Thoracic Surgery. His research focuses on pancreatic cancer, spanning surgical innovations, genetic risk factors, liquid biopsy applications, and perioperative care protocols. He actively contributes to international consortia like PANDoRA and publishes extensively on optimizing surgical outcomes and biomarker discovery. His research interests center on: Pancreatic Cancer Pathobiology : Investigating genetic polymorphisms, microbiota interactions, and tumor microenvironment dynamics. Surgical Oncology : Advancing minimally invasive techniques (e.g., robotic pancreatoduodenectomy) and ERAS protocols. Translational Biomarkers : Developing liquid biopsy analytes for early detection and prognostic stratification. Uzunoglu's recent publications emphasize global surgical outcomes, genetic susceptibility loci, and metabolic dysregulation in pancreatic tumors. His work integrates clinical data from multicenter cohorts to refine risk prediction models and therapeutic strategies. He leads collaborative initiatives in visceral surgery research and mentors through institutional networks, though specific advisees are not listed. Grants and awards are not detailed in available sources.
Knut Erik Teigen Giljarhus is an Associate Professor at the University of Stavanger's Faculty of Science and Technology within the Department of Mechanical and Structural Engineering and Materials Science. Appointed to a full-time faculty position in 2018 after transitioning from industry roles, he currently serves as Study Program Leader for Mechanical Engineering programs since 2020. Education: PhD from the Norwegian University of Science and Technology (NTNU) Research Interests: His primary expertise lies in Computational Fluid Dynamics (CFD) , with significant contributions to multiphase flow systems (oil/water separation, annular displacements), urban aerodynamics (pedestrian wind comfort, building interactions), and biomedical fluid applications (blood pumps, vascular flow). He employs advanced numerical methods including lattice Boltzmann modeling, large eddy simulations, and machine learning integration for rapid wind prediction. Publication Trends: Analysis of his 2024-2025 output reveals strategic expansion into ML-enhanced CFD for urban wind assessment while maintaining core multiphase flow research. Key themes include non-Newtonian fluid behavior in medical contexts, density-unstable displacement mechanisms, and aerodynamic optimization for sports engineering—all published in high-impact journals like Physics of Fluids and Building and Environment . Scientific Awards: No awards or fellowships were documented in the provided materials Advising and Grants: Formal advisees are not listed in the source material No research grants or funding sources are explicitly mentioned Labs and Teams: As Study Program Leader, he directs mechanical engineering curriculum development at the University of Stavanger. His research leverages the Department's computational facilities and collaborates with SINTEF Energy Research (evidenced in publications) alongside international partners in biomedical engineering and urban wind studies.
Gerald H. Haug is a leading geoscientist currently serving as Director of the Department of Climate Geochemistry and Scientific Member at the Max Planck Institute for Chemistry in Mainz, Germany. He is also President of the German National Academy of Sciences Leopoldina (2020–2025), reflecting his national and international scientific leadership. His academic journey includes a Diploma in Geology from the University of Karlsruhe (1992) and a PhD in Geosciences from the University of Kiel (1995). He held postdoctoral positions at GEOMAR, the University of British Columbia, Woods Hole Oceanographic Institution, and the University of Southern California. He advanced to 'Oberassistent' at ETH Zürich, completed his habilitation in Earth Sciences in 2002, and served as Professor at the GFZ and University of Potsdam (2003–2007), followed by Ordinary Professor for Climate Geology at ETH Zürich (2007–2015). His research centers on reconstructing past climate variability using geological archives, particularly marine sediments. His work integrates geochemical proxies, paleoceanography, and Earth system dynamics to understand long-term climate change, monsoon systems, and ocean-atmosphere interactions. His expertise spans isotope geochemistry, sedimentology, and paleoenvironmental reconstruction. Gerald H. Haug has held significant leadership roles in the scientific community. His appointment as Scientific Member at the Max Planck Society and department director signifies senior faculty status. His presidency of the Leopoldina underscores his influence in shaping science policy and promoting interdisciplinary research. President, National Academy of Science Leopoldina (2020–2025) He has advised numerous students and early-career researchers throughout his career at ETH Zürich, University of Potsdam, and the Max Planck Institute, though specific names are not listed. He has led major research initiatives and secured substantial funding through the Max Planck Society and collaborative international projects, though specific grants are not detailed. At the Max Planck Institute for Chemistry, he leads the Department of Climate Geochemistry, which conducts cutting-edge research on Earth's climate system using advanced geochemical techniques and global sediment records. The department fosters interdisciplinary collaboration and trains the next generation of climate scientists.
Nikolas Pfaffenzeller is a Researcher at the Chair of Astronomical & Physical Geodesy within the Department of Aerospace and Geodesy at the Technical University of Munich (TUM). His work focuses on advancing satellite gravimetry through innovative small satellite constellations and formations for Earth observation. He collaborates extensively with Professor Roland Pail and participates in major research initiatives including the CubeGrav Project, DFG Research Unit NEROGRAV, and ESA missions MAGIC/Science and QSG4EMT. His research interests center on next-generation gravity field missions using miniaturized satellite technology. Pfaffenzeller investigates temporal gravity field retrieval capabilities, ocean tide aliasing reduction through co-estimation techniques, and the impact of tone errors on gravity field solutions. His work addresses critical challenges in observing sub-daily mass changes in the Earth system and developing cost-effective alternatives to traditional gravity missions. Analysis of his publication record (2018-2025) reveals a strong focus on CubeSat constellations for gravity field retrieval, with particular emphasis on orbital configuration optimization, temporal resolution capabilities, and error mitigation strategies. His research bridges theoretical mission design with practical implementation considerations for future satellite gravimetry systems. Pfaffenzeller actively supervises Master's students, having guided thesis projects on optimal orbit constellations for reducing temporal aliasing and CubeSat mission design for gravity field observation. His research is supported through participation in multiple DFG and ESA-funded projects focusing on advancing gravity field measurement technologies. He contributes to the DFG Research Training Group UPLIFT and participates in the Spring School NEROGRAV 2025, demonstrating his engagement with the next generation of geodetic scientists. His work with the Engineering Institute for Astronomical and Physical Geodesy positions him at the forefront of developing next-generation Earth observation systems using miniaturized satellite technology.
Dr. Philipp Zingerle is a researcher at the Chair of Astronomical & Physical Geodesy, Technical University of Munich, where he conducts advanced research in satellite gravimetry, global gravity field modeling, and future quantum-based gravity missions. He plays a key role in ESA projects such as MAGIC and QSG4EMT, as well as DFG-funded initiatives NEROGRAV and UPLIFT, contributing to next-generation Earth observation systems. Research Interests: His work focuses on high-resolution gravity field modeling (e.g., XGM series), time-variable gravity, quantum satellite missions, and integration of terrestrial and airborne data. He applies these to improve geoid determination, height systems, and monitoring of mass transport in the Earth system. The recent publications highlight a strong trend toward future quantum gravimetry missions, especially through the MAGIC and NGGM studies, emphasizing constellation design, error modeling, and hydrological applications. There is also sustained work on extending global models to higher spatial resolution (up to d/o 1440 and beyond) and improving regional solutions such as for Antarctica and North America via GRAV-D integration. Scientific Contributions: Lead and co-author of multiple high-impact journal papers on XGM models and satellite gravimetry. Active participant in international symposia including EGU, IUGG, and ESA Living Planet. Contributor to the realization of the International Height Reference System (IHRS). Advising and Research Leadership: He has supervised several bachelor’s and master’s theses, indicating an active role in student mentorship. He collaborates extensively with leading institutions and researchers across Europe and globally. While no formal awards are listed, his involvement in flagship projects underscores recognition in the geodetic community. Labs and Teams: He is embedded in the Satellite Geodesy Research Facility at TUM and contributes to multiple interdisciplinary teams including ESA MAGIC, DFG NEROGRAV, and UPLIFT, working closely with Prof. Roland Pail and other experts in geodesy and Earth observation.
Dr Emily Ball is a Technical Researcher in the School of Geographical Sciences at the University of Bristol. Her work focuses on planetary and climate science, particularly investigating atmospheric dynamics on Mars and Earth. Current affiliations include the School of Geographical Sciences where she contributes to studies on polar vortices, climate impacts, and planetary climate evolution. Education details not explicitly stated in available text. Her research interests emphasize understanding large-scale atmospheric phenomena such as polar vortices, isentropic mixing processes in Martian polar deposits, and climate-mortality linkages in the UK. She collaborates on projects like the Bristol CMIP6 data hackathon, applying interdisciplinary methods to climate data analysis. Publications highlight themes in planetary climate dynamics, with recent work focusing on Mars' atmospheric structures and Earth's climate health impacts. No scientific awards are mentioned in the provided text. Advising and grants details are not explicitly listed here. She is affiliated with the School's research groups, though specific lab affiliations like the Cabot Institute are not confirmed for her role.
Dr. Tiffany Kataria is a researcher affiliated with the Astrophysics & Space Sciences Division at the California Institute of Technology (Caltech), with a focus on exoplanetary atmosphere dynamics. She is a member of the Star and Planet Formation group and leads the Habitable Worlds Observatory project. Education: PhD in Planetary Sciences, University of Arizona (2014) BS in Astronomy/Planetary Science and Physics, State University of New York at Stony Brook (2009) Research Interests: Dr. Kataria specializes in modeling atmospheric structures of exoplanets (e.g., super Earths and hot Jupiters) using general circulation models. Her work emphasizes the role of clouds and hazes in exoplanet atmospheres, leveraging data from HST, Spitzer, and future facilities like TESS, WFIRST, and JWST. She aims to bridge theoretical models with observational spectra to advance exoplanet characterization. Labs/Teams: Involved in the Habitable Worlds Observatory, focusing on interdisciplinary exoplanet research.
Dr. Matthew Ng is a Research Fellow and research data scientist at the City Futures Research Centre, University of New South Wales (UNSW), within the School of Arts, Design & Architecture. His work focuses on applying spatial analytics, machine learning, and AI to address urban challenges in housing, planning, transport, and property markets. As UNSW’s first Industry Scientia Fellow (since 2022), he collaborates with PEXA to improve valuation systems through scalable modeling. He also leads the Asia-Pacific arm of the Colouring Cities Research Programme, aiming to enhance urban data accessibility and reliability. Education : PhD in Spatial Data Science, University College London (UCL) MSc in International Planning, UCL BSc (Hons) in Biology, University of Manchester Research Interests : Dr. Ng’s research bridges data science and urban policy, with a focus on spatial modeling, housing systems, and applied machine learning. His work emphasizes practical solutions for governments and communities, such as advising NSW on housing strategies and addressing rental vulnerability through data-driven methods. Grants & Partnerships : His collaborations include projects with the NSW Government, non-profits, and global initiatives like the Alan Turing Institute. He currently supervises five research students and welcomes inquiries on urban data infrastructure and machine learning applications. Labs & Teams : He is part of the City Futures Research Centre and contributes to the Colouring Cities Programme, fostering international partnerships to improve urban data systems.
Henrik Kalisch is a Professor of Applied Mathematics at the Department of Mathematics, University of Bergen, where he also serves as Deputy Head of Department. His research focuses on mathematical modeling of nearshore processes, wave breaking, surfzone circulation, and wave hazards in coastal zones. Dr. Kalisch received his Ph.D. in 2001 from the University of Texas at Austin. His academic career has established him as a leading researcher in fluid mechanics, partial differential equations, and numerical analysis, with over one hundred scientific publications to his name. Professor Kalisch's research spans several key areas in applied mathematics and fluid dynamics. His work on surface water waves investigates fluid particle motion, wave breaking mechanisms, wave shoaling processes, and the influence of vorticity on wave dynamics. In the domain of wave-ice interaction , he studies moving loads on ice sheets, marginal ice zone dynamics, and interactions with internal waves. His contributions to hyperbolic conservation laws include work on singular solutions and their physical interpretation, while his research on mathematical properties of model equations examines existence, uniqueness, and stability of traveling waves and soliton interactions. His research has practical applications in wave energy devices, tidal energy, carbon storage, and ice road safety. His recent publications reveal a strong focus on developing and analyzing mathematical models for wave phenomena, particularly Boussinesq-type models, KdV equations, and their variants. The research shows increasing integration of computational methods with theoretical analysis, and growing attention to practical applications in coastal engineering and polar science. There's also a notable trend toward interdisciplinary collaboration, particularly with oceanographers and engineers working on real-world wave problems. Professor Kalisch serves as co-editor-in-chief for "Water Waves: An interdisciplinary journal," published by Birkhäuser-Springer-Nature, demonstrating his leadership in the field. Methods for real-time wave forecasting and phase control of wave energy converters (Bergen Universitetsfond, 2021-2022) MegaRoller (European Commission Horizon 2020 grant) Norwegian Research Network in Mathematical Models in Geophysical Flows (Research Council of Norway, 2016-2019) Internal Waves in the Marginal Ice Zone (Hydralab grant from European Commission) Nonlinear PDE in Spaces of Analytic Functions (Research Council of Norway, 2012-2017) Wavemaker (Research Council of Norway, 2006-2010) Professor Kalisch has supervised numerous graduate students, including current PhD candidates Enrique Martinez, Olufemi Ige, and Anders Norevik, as well as several Master's students. His former PhD students include Maria Bjørnestad (2021), Evgueni Dinvay (2019), Vincent Teyekpiti (2018), and others who have gone on to careers in academia, industry, and research institutions worldwide. He has chaired curriculum committees and developed courses in applied mathematics, fluid mechanics, and numerics at both undergraduate and graduate levels. His research group at the University of Bergen includes postdoctoral researchers like Bashar Khorbatly, adjunct professors like Francesco Lagona, PhD students, and Master's students working collaboratively on various aspects of wave dynamics and mathematical modeling.
Dr. Cenap Güngör is a researcher at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Faculty of Medicine and the Department of General, Visceral and Thoracic Surgery . His work focuses on pancreatic cancer , O-glycosylation , tumor microenvironment , and chemotherapy efficacy , utilizing transgenic mouse models and SEER database analysis . Key research areas include: Glycan-mediated signaling in cancer progression Microbiome-drug interactions in chemotherapy Metastasis and drug resistance mechanisms Development of prognostic nomograms for cancer patients His publications (2025-2010) span journals like Nature , Cancer Research , and Molecular Cancer , addressing topics such as Tn antigen expression , midkine signaling , and CRC gene polymorphisms in gastrointestinal cancers. No formal awards or student advising details are provided in the text.
Eric P. Salathé Jr. is a Professor and Division Chair at the University of Washington , Bothell campus, with an adjunct appointment in the Department of Atmospheric and Climate Science at the University of Washington, Seattle. His work bridges regional climate change and atmospheric process modeling , particularly in the Pacific Northwest . Education: Ph.D. in Geology & Geophysics from Yale University , B.A. in Physics from Swarthmore College . Dr. Salathé's research focuses on climate impacts on hydrology , air quality , and human health , with a strong emphasis on extreme weather events like heat waves and flood risk . His methodology combines regional climate models (e.g., WRF) and statistical downscaling to assess local responses to global climate change. Earlier work involved satellite remote sensing of upper-tropospheric water vapor using NASA -funded projects. His teaching spans climate science , mathematical physics , and computational physical modeling , with courses like BEARTH 310: Fundamentals of Weather and Climate and BPHYS 450: Computational Physical Modeling . Research collaborations include work with NASA's Goddard Space Flight Center and ECMWF on radiative cooling and moisture transport in climate models.
Dr Raj Mehrotra is a Senior Research Fellow at the Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales. He holds a PhD from UNSW, M.E. from Indian Institute of Technology Roorkee, and B.E. from Jiwaji University. His work focuses on statistical applications in hydrology and hydroclimatology, particularly on multivariate bias correction and stochastic downscaling of climate model simulations. Education: PhD: University of New South Wales M.E.: Indian Institute of Technology, Roorkee B.E.: Jiwaji University, Gwalior Raj develops innovative methodologies for climate data processing, including the Multivariate Bias Correction (MBC) and Multisite Rainfall Downscaling (MRD) software. His research addresses climate change impacts on water resources, reservoir management, and flood/drought risk assessment, with applications in Australia, India, and Thailand. Recent publications reveal a focus on climate projections, bias correction frameworks, and hydrological modeling. Key topics include CMIP5 decadal predictions, stochastic rainfall generation, and uncertainty quantification in climate simulations. His work has been supported by ARC Linkage projects, WaterNSW, Bureau of Meteorology, and international collaborations like the Australia-India Strategic Research Fund. He contributes to climate-hydrology software development and has advised on projects related to water infrastructure, agricultural productivity, and groundwater sustainability. Current projects include multivariate bias correction of regional climate simulations, development of the MINBC package, and ensemble modeling for ungauged catchments.
Robert C. Bast, M.D., is a Professor of Medicine in the Department of Experimental Therapeutics at The University of Texas MD Anderson Cancer Center, where he also holds the Harry Carothers Wiess Distinguished University Chair for Cancer Research. He serves as Director of Translational Research Career Development in the Division of Cancer Medicine and is a member of the GSBS faculty. His dual appointment extends to the Department of Gynecologic Oncology, reflecting his interdisciplinary impact. Dr. Bast's research is centered on ovarian and breast cancers , with a strong emphasis on early detection, tumor biology, and translational therapeutics . His laboratory pioneered the discovery and clinical application of CA-125, a landmark tumor marker in ovarian cancer. Current work in the Bast/Lu Laboratory explores novel biomarkers, liquid biopsies, and targeted therapies to improve patient outcomes. The 15 most recent publications highlight a consistent trajectory in translational oncology , integrating genomics, proteomics, and immunology to advance early detection and precision treatment. Key themes include overcoming drug resistance, developing antibody-drug conjugates, and leveraging artificial intelligence for multi-analyte cancer screening. AACR 2025 Scientific Achievement Award Dr. Bast has led numerous NIH- and industry-funded grants, particularly in SPORE (Specialized Programs of Research Excellence) initiatives focused on ovarian and breast cancers. He mentors early-career scientists and postdoctoral fellows through structured training programs and has played a pivotal role in developing the next generation of cancer researchers. His lab, the Women's Cancer Research Laboratory (Bast/Lu Laboratory), fosters collaborative, interdisciplinary science aimed at transforming cancer care. The laboratory conducts cutting-edge research in epithelial ovarian and breast cancers, focusing on molecular mechanisms of tumor progression, biomarker discovery, and therapeutic innovation. It operates within MD Anderson’s robust research infrastructure, collaborating with clinical teams to rapidly translate findings into patient benefit.
Prof. Dr. Bernd Giebel is a leading faculty member at the Institute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen. He leads the Giebel Lab, which is dedicated to advancing the understanding and clinical application of extracellular vesicles (EVs), particularly those derived from mesenchymal stromal cells (MSCs). His research spans hematopoietic progenitor biology and EV-based therapeutics for inflammatory and neurological conditions. His research focuses on elucidating the therapeutic potential of MSC-derived EVs, having demonstrated efficacy in treating graft-versus-host disease and ischemic brain injury. His lab pioneers methods for EV isolation and characterization, including free-flow electrophoresis and imaging flow cytometry. He is deeply involved in standardizing EV research through initiatives like MISEV and EV-TRACK. The recent publications highlight a strong trend toward clinical translation, with work on optimizing EV manufacturing, functional assays, and biomarker discovery. His team investigates EVs in stroke, neuroprotection, immunomodulation, and cancer immunotherapy, often using advanced preclinical models and multi-omics approaches. Founding President, German Society of Extracellular Vesicles (2017–2023) Chair, Exosome Committee, International Society for Cell & Gene Therapy (ISCT) Co-initiator, Mobility for Vesicles in Europe (MOVE) Active member, International Society for Extracellular Vesicles (ISEV) Bernd Giebel mentors several PhD students and postdoctoral researchers, fostering the next generation of EV scientists. His lab collaborates extensively with national and international experts, contributing to influential white papers and consensus guidelines. The research is supported by ongoing projects and publications in top-tier journals, indicating sustained funding and academic leadership. The Giebel Lab operates within the Institute for Transfusion Medicine and is part of the broader research ecosystem at University Hospital Essen, focusing on translational medicine and regenerative therapies.
Jennifer Kay is an Associate Professor in the Department of Atmospheric and Oceanic Sciences (ATOC) at the University of Colorado Boulder, a Fellow at the Cooperative Institute for Research in Environmental Sciences (CIRES), and a visiting scientist at the National Center for Atmospheric Research (NCAR). She is also the Associate Director of CIRES and a co-chair of the Cloud Feedback Model Intercomparison Project (CFMIP). Her research is at the forefront of understanding polar climate change, focusing on the complex interactions between clouds, radiation, sea ice, and the broader climate system. Her research interests are centered on polar climate dynamics , specifically coupled atmosphere-ocean-ice processes , cold cloud and precipitation physics , Arctic and Antarctic sea ice , and climate feedbacks and forcing . She employs a powerful combination of tools, including satellite remote sensing data (e.g., from CloudSat and CALIPSO), in-situ observations, and sophisticated global climate models like the Community Earth System Model (CESM). Her work aims to evaluate and improve model representations of polar processes to better understand and project climate change. The analysis of her recent publications reveals a strong and consistent research focus on the mechanisms of Arctic amplification . Her work frequently investigates how changes in clouds and sea ice interact to alter the flow of energy (radiation) in the Arctic, creating powerful feedback loops that accelerate warming. She also has a significant interest in large initial condition ensembles to separate the effects of natural climate variability from human-forced change, and in developing new observational datasets and model evaluation tools. Henry G. Houghton Award, American Meteorological Society (2017) CESM Distinguished Achievement Award (2016) NSF CAREER Award Dr. Kay is a dedicated mentor and educator, actively advising a group of Ph.D. students and postdoctoral researchers. She has successfully guided numerous students and postdocs to successful careers in academia and research, as evidenced by her recent alumni who are now faculty at institutions like Dartmouth, UCLA, and Florida State University. Her research is generously funded by major agencies including the National Science Foundation (NSF), NASA, and the Department of Energy (DOE), supporting projects like the NASA PREFIRE mission. She leads the Jennifer Kay Research Group, which is deeply embedded in the vibrant climate science community of Boulder, Colorado. The group collaborates extensively with scientists at NCAR and NASA, and its members are involved in major field campaigns and modeling initiatives. The group also engages in education and outreach, developing data literacy tools for K-12 classrooms.
