Caroline Samer is an Associate Professor at the University of Geneva (UNIGE) Faculty of Medicine and serves as the Head of the Division of Clinical Pharmacology and Toxicology at the Hôpitaux Universitaires de Genève (HUG) . She also acts as the Delegate to the Dean's Office for Data Issues since July 2023. Medical Degree (2001), PhD in Pharmacogenomics, Postdoctoral Fellowship in Molecular Pharmacology (Sydney) President of the Swiss Society for Clinical Pharmacology and Toxicology (SSPTC) and Swiss Society of Pharmacology and Toxicology (SSPT) Vice-President of Swissethics and the Geneva Research Ethics Committee (CCER) Her research focuses on personalizing drug therapy through pharmacogenomics and precision medicine , emphasizing gene-environment-disease interactions and omic technologies . Key themes include drug interactions , pharmacokinetic modeling , and therapeutic information . Recent publications highlight her work in pharmacogenomics , drug safety , and clinical pharmacology , with a focus on opioids , antiaggregants , and drug metabolism . Her collaborations span oncopediatrics , internal medicine , medical informatics , and pharmaceutical sciences . She leads the Samer-Daali Research Group , which integrates in vitro , in vivo , and in silico models to advance personalized therapy . Her work is supported by institutional affiliations with the Faculty Center of Translational Investigation in Biomarkers and CIOMS .
Pietro de Anna is an Associate Professor at the Institute of Earth Sciences (ISTE), University of Lausanne, since August 2021. He holds an Italian nationality and completed a Master's in Theoretical Physics (2009) at the University of Florence, followed by a PhD in Earth Sciences at the University of Rennes 1 (2012). His research focuses on reactive transport in porous media, filtration, and interactions between bacteriological activity and flow dynamics. He directs the Environmental Fluid Mechanics Laboratory since 2015, employing microfluidics, numerical simulations, and theoretical models to study coupled physical, biological, and chemical mechanisms in confined systems. He has published 21 peer-reviewed articles, teaches environmental science courses at the Bachelor's and Master's levels, and supervised two PhD theses and four postdoctoral researchers. His work includes investigations into microbial biomass accumulation in porous media, diffusion-limited mixing, and biocementation processes. Key research themes are spatial heterogeneity effects, chemotaxis, and quorum sensing in microbial systems. He has pioneered methods combining microfluidics with microscopy to analyze transport at pore scales.
Dr. Imad El Haddad serves as Group Head of the Molecular Cluster and Particle Processes group at the Laboratory of Atmospheric Chemistry (LAC), part of the Center for Energy and Environmental Sciences at Paul Scherrer Institute (PSI), Switzerland, since 2018. Previously, he held positions as Tenured Scientist and Deputy Head (2018-2019), Senior Scientist in the Smog Chamber group (2015-2018), and Postdoctoral Fellow (2011-2015) at PSI. His research aims to quantify how anthropogenic emissions alter atmospheric pollutant composition and impact Earth's climate and public health through molecular-level analysis using advanced mass spectrometry techniques. His academic background includes: Ph.D. in Atmospheric Chemistry, University of Provence, Marseille (2007-2011) Master's in Environmental Sciences (with distinction, rank 1/9), University of Provence (2006-2007) Master's in General Chemistry (with distinction, rank 1/10), Saint-Joseph University of Beirut (2005-2006) Bachelor of Science in Chemistry (with distinction, rank 1/14), Saint-Joseph University of Beirut (2002-2005) El Haddad's work centers on molecular fingerprinting of atmospheric aerosols , utilizing mass spectrometry (GC/MS, HPLC/APCI-MS2, HPLC/ESI-MS2) to identify primary and secondary molecular markers. He conducts smog chamber experiments to characterize emissions from wood burning, traffic, and cooking processes, determining secondary organic aerosol potential and oxidation state evolution. His group also studies in-cloud aqueous-phase aging and collaborates with global modelers to link aerosol composition to climate forcing and health outcomes like oxidative stress. Recent publications (2025-2024) reveal three dominant trends: (1) rigorous molecular-scale analysis of secondary aerosol formation under varying humidity/temperature, (2) source apportionment breakthroughs in diverse regions (India, Europe, Arctic) using 14C and AMS data, and (3) quantification of health-relevant aerosol properties such as oxidative potential through DTT assays. High-resolution mass spectrometry is a consistent methodological thread across these studies. His scientific awards include: MENRT research fellowship from French ministry of research (2007-2010) Excellence Scholarship (top 1% student, University of Saint Joseph, 2005) Distinction Prize (best student, University of Saint Joseph, 2005) As Group Head, El Haddad oversees the Molecular Cluster and Particle Processes group's research direction and mentorship of junior scientists. While specific grant details are absent from the text, his leadership in multi-institutional publications (e.g., CERN CLOUD, iCUPE) implies active grant management and international collaboration. The group's work bridges laboratory simulations, field deployments, and health/climate modeling to address air pollution complexities. The Molecular Cluster and Particle Processes group develops cutting-edge online/offline mass spectrometers for 1 Hz-resolution atmospheric analysis. They deploy instruments in laboratory smog chamber experiments and global field studies, focusing on molecular marker identification, emission source characterization, and aging process quantification. Collaborations with biochemists and climate modelers extend their impact beyond pure aerosol physics into health risk assessment and policy-relevant climate science.
Martin Huber is Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg, Switzerland, within the Faculty of Management, Economics and Social Sciences, Department of Economics. He leads the Chair of Applied Econometrics and maintains an active research profile with numerous publications in top economics and statistics journals. His work bridges theoretical econometrics with practical policy applications across multiple domains including labor, health, and education economics. Professor Huber earned his Ph.D. in Economics and Finance in 2010 and served as Assistant Professor at the University of St. Gallen until 2014. He has conducted research stays at Harvard University (2011/2012) and the University of Sydney (2014 and 2019), establishing an international research network. His academic affiliations include the Committee for Econometrics of the Verein für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), and Centre for European Economic Research (ZEW) Mannheim. Huber's research focuses on data-based causal analysis , machine learning applications in economics , and policy evaluation methods . He specializes in developing and applying statistical and econometric methods for measuring causal effects, with particular emphasis on semi- and nonparametric microeconometrics. His work spans labor economics (gender occupational segregation, maternal labor supply), health economics, education policy, and competition policy (bid-rigging cartels detection). His recent publications (2023-2025) demonstrate a clear trajectory toward integrating machine learning techniques with traditional econometric methods for causal inference. This includes developing frameworks for causal discovery, improving difference-in-differences methods with machine learning, and creating novel approaches for detecting collusion in markets. His 2023 book "Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R" (MIT Press) has become a key reference in the field. As an active researcher, Professor Huber directs several research projects including experimental evaluations of gender occupational segregation in the Swiss apprenticeship market. His work combines theoretical rigor with practical policy relevance, often employing experimental and quasi-experimental methods to address questions of causal mechanisms in social and economic phenomena. Through his Chair of Applied Econometrics, Huber supervises Ph.D. students and maintains an active research group focused on advancing causal inference methodologies. His work has significant implications for evidence-based policymaking across multiple sectors, particularly in evaluating the effectiveness of social programs and economic policies.
Prof. Dr. Oliver Schilling is an Assistant Professor of Hydrogeology at the University of Basel and affiliated with Eawag , the Swiss Federal Institute of Aquatic Science and Technology. He leads research on surface water-groundwater interactions using integrated surface-subsurface hydrological models (ISSHM) and novel tracer techniques including dissolved atmospheric noble gases, environmental DNA, and radioactive tracers. Research Focus : Surface-subsurface hydrology, ecohydrology, groundwater-surface water interactions, tracer hydrogeology, climate change adaptation in water systems Key Projects : Integrated Hydrological Modeling for Operational Forecasting, Sustainable Nitrogen Fertilization, Slow Water Initiatives, Cryosphere-Groundwater Connectivity in Alpine Regions Scientific Contributions include developing HGS-PDAF (modular data assimilation framework), advancing microbial transport algorithms in HydroGeoSphere, and pioneering online flow cytometry for microbial analysis in high-turbidity environments. His work addresses drinking water production via bank filtration along alluvial rivers, critical for 30% of Swiss and 50% of European drinking water supply. Scientific Leadership : Editor, Hydrogeology Journal (since 2025) Associate Editor, Frontiers in Water (since 2021) Coordinator, Swiss Water-Earth Systems (WES) PhD School (2020–2022)
Lena Jäger is a Professor in the Department of Computational Linguistics at the University of Zurich (UZH). Her research focuses on the intersection of linguistics, computational cognitive science, and machine learning, particularly analyzing cognitive mechanisms underlying human language processing through experimental psycholinguistics, computational modeling, and NLP methods. She holds an MA in Chinese Language and Culture, an MSc in Experimental and Clinical Linguistics, a PhD in Cognitive Science, and a BSc in Computer Science. Prior to UZH, she led a Machine Learning Junior Research Group funded by the German Federal Ministry of Education and Research (2020) and conducted postdoctoral research at the University of Potsdam. Her work emphasizes developing machine learning methods for analyzing eye-tracking data to uncover cognitive processes reflected in eye movements. Notable contributions include creating multilingual eye-tracking corpora (e.g., MultiplEYE, PoTeC) and advancing tools like pymovements for data processing. Her research spans applications in language comprehension, biometric identification, and clinical diagnostics (e.g., ADHD detection via eye movements). Education: BA/MA: Chinese Language and Culture (University of Freiburg, Tongji University, Beijing Language and Culture University, Université Paris 7) MSc: Experimental and Clinical Linguistics (University of Potsdam) PhD: Cognitive Science (University of Potsdam) BSc: Computer Science (concurrent with PhD) Awards: Machine Learning Junior Research Group Grant (2020). Labs/Teams: Leads computational linguistics and machine learning research groups at UZH, collaborating on projects like ScanDL and CoLAGaze. Her recent work bridges AI and cognitive science, exploring how language models emulate human reading behaviors and developing frameworks for ethical AI applications. Ongoing projects include improving fairness in biometric identification systems and analyzing individual differences in reading through synthetic data.
Eva Cantoni is a Full Professor at the Research Center for Statistics within the Geneva School of Economics and Management , University of Geneva. Her expertise spans robust statistical methodology, model selection, and applications in ecology and medicine. Ph.D. from University of Geneva Accredited European Statistician (FENStatS) Research Interests : She specializes in Robust statistics for real-world data Variable/model selection in high-dimensional settings Nonparametric and semi-parametric regression Zero-inflated and overdispersed count models Longitudinal and spatiotemporal data analysis Her work addresses ecological challenges (fish stock assessment), medical applications (hospital congestion modeling), and housing market analysis. Recent Trends in Publications : Recent articles focus on Confidence intervals for robust mixed models Editorial leadership in robust statistics Applications to fisheries science and public health Flexible modeling frameworks for complex data Comparative studies of statistical measures Extremes modeling in healthcare Leadership & Grants : She has served as: Vice-Dean for Teaching (2020-2023) Director of Master's in Statistics (2012-2019) Director of Applied Statistics Certificate (2015-2019) President, Swiss Federal Statistics Committee (2024-2027) Specialty Chief Editor, Frontiers in Applied Mathematics (2024) Grants include projects on Robust solutions for modern data (2023-2025) Sustainable fisheries modeling (2018-2021) Advancements in state-space models (2014-2017) Software Contributions : Developed R packages for robust statistical methods: confintROB (bootstrap confidence intervals) RobSSM (robust state-space models) R2_LMM (explained variation measures)
Michele Dolce is a Lecturer and Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB) and the Chair of Mathematical Analysis, Calculus of Variations and PDEs (AMCV). He previously held positions as a Postdoc at EPFL and a Research Associate at Imperial College London, where he worked under Prof. Michele Coti Zelati. His academic journey includes a PhD from the Gran Sasso Science Institute. Current affiliation: EPFL, School of Basic Sciences (SB), Department of Mathematics (MATH), AMCV Past affiliation: Imperial College London His research focuses on the mathematical analysis of Partial Differential Equations (PDEs) in fluid dynamics and kinetic theory. Key areas include hydrodynamic stability, long-time behavior of viscous vortex systems, and time-decay properties of kinetic models like the Boltzmann and Wave Kinetic Equations. Recent work explores vortex merging phenomena and Taylor dispersion in rotationally symmetric flows. Scientific activities include organizing workshops such as "Long time dynamics in random and deterministic systems" (2025) and co-organizing events like the "Deterministic and random features of fluids" summer school (2023) and the "Enjoying Probability and Fluids in Lausanne" workshop (2023). His publications span journals including Communications in Mathematical Physics, Archive for Rational Mechanics and Analysis, and Journal of Mathematical Fluid Mechanics. Supported by Swiss National Science Foundation (SNF Ambizione grant PZ00P2_223294) Partially funded by GNAMPA (INdAM group)
Marcus Christl is a Lecturer at the ETH Zürich Department of Physics and Head of the Laboratory of Ion Beam Physics (LIP) . His academic profile focuses on Accelerator Mass Spectrometry (AMS) , cosmogenic nuclide dating, and environmental applications of isotope geochemistry. Office: HPK H 33, Otto-Stern-Weg 5, 8093 Zürich, Switzerland Phone: +41 44 633 38 84 / +41 44 633 65 07 Email: mchristl@phys.ethz.ch ORCID: 0000-0002-3131-6652 Dr. Christl teaches courses in Accelerator Mass Spectrometry and Quaternary Dating Methods , including: 402-0180-00L Ethics and Scientific Integrity for Doctoral Students in Physics 402-0620-00L Current Topics in Accelerator Mass Spectrometry and Its Applications 402-0621-00L Introduction to Accelerator Mass Spectrometry His research spans multiple disciplines through cosmogenic isotope analysis: Climate Science : Using 10 Be and 14 C records to reconstruct solar activity cycles and climate fluctuations over millennial timescales Geochronology : Developing novel dating techniques using 36 Cl/ 10 Be ratios for ice cores and landscape features Geomorphology : Quantifying erosion dynamics in diverse environments from the Alpine foreland to South African pediments Oceanography : Tracing Atlantic water transport patterns using 129 I– 236 U dual tracers Radiochemistry : Advancing methods for nuclear forensics and environmental pollutant analysis Recent publications reveal trends in: Refining AMS systems for analyzing transuranic elements Quantifying landscape evolution through multi-isotope approaches Understanding ocean circulation pathways using artificial radionuclides Investigating soil dynamics in glaciated and tropical environments Correlating cosmogenic production with sea level and climate changes
Pierre Maechler is a Professor at the University of Geneva's Faculty of Medicine in the Department of Cell Physiology and Metabolism. His research focuses on mitochondrial metabolism in pancreatic beta cells and its critical role in diabetes pathogenesis, with particular emphasis on glutamate dehydrogenase function and regulation. His laboratory investigates the molecular mechanisms of insulin secretion and beta-cell failure in Type 2 diabetes. Maechler's research interests span mitochondrial metabolism, energy homeostasis, and the molecular pathways linking nutrient sensing to insulin secretion. His work has established crucial connections between glutamate metabolism, beta-cell function, and diabetes development. He investigates how metabolic stressors like glucotoxicity and lipotoxicity impair beta-cell function through mitochondrial dysfunction. His research has expanded to include the role of glutamate dehydrogenase in multiple organs including brain, liver, and muscle, revealing systemic metabolic implications. Analysis of Maechler's publication record shows a sustained focus on beta-cell metabolism with evolving scope. Early work established fundamental mechanisms of glutamate signaling in insulin secretion, while recent publications demonstrate expansion into multi-organ metabolic regulation. His research has identified novel biomarkers for beta-cell mass, explored therapeutic targets for diabetes, and revealed unexpected roles for glutamate dehydrogenase in diverse physiological processes from muscle regeneration to brain function. The consistent thread through his work is understanding how mitochondrial metabolism governs cellular and systemic energy homeostasis. Professor Maechler has mentored numerous PhD students and postdoctoral fellows who have gone on to publish significant work in diabetes research. His laboratory collaborates extensively with clinical researchers to translate basic findings into potential therapeutic approaches for diabetes. Funding for his work likely comes from Swiss National Science Foundation and other European research agencies, supporting investigations into metabolic diseases. Maechler leads the Mitochondria and Energy Metabolism research group at the University of Geneva. His team employs a multidisciplinary approach combining molecular biology, metabolomics, and physiology to investigate metabolic regulation in health and disease. The laboratory maintains strong connections with clinical diabetes researchers, facilitating translational applications of their findings. Current work focuses on identifying novel therapeutic targets for preserving beta-cell function in diabetes.
Kunfeng Gao is a researcher at ETH Zürich's Staff of Experimental Atmospheric Physics , affiliated with EPFL's School of Architecture, Civil and Environmental Engineering (ENAC) . His work focuses on aerosol-cloud interactions, ice nucleation mechanisms, and atmospheric aging of particles. Key research areas: Ice Nucleation, Biological Aerosols, Soot Particles, Dust Particles, Cirrus Cloud Thinning, Climate Modeling. Contributed to major studies on diurnal variability of ice nucleating particles in the Eastern Mediterranean. Developed novel methods for characterizing particle morphology and ice nucleation efficiency. Scientific Awards : Highlight article in Atmospheric Chemistry and Physics (2024). Two awarded Chinese patents related to particle classification and graphene-based filtration. His research has garnered significant media attention, including features in ScienceNews , Le FIGARO , and Radio Télévision Suisse , highlighting biological particles' role in extreme weather events.
Anastasios P. Vassilopoulos is an Adjunct Professor and Head of the Composite Mechanics Group (GR-MEC) at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Architecture, Civil and Environmental Engineering (ENAC). He holds additional roles as Director of the Doctoral Program in Civil and Environmental Engineering (EDCE) and is affiliated with multiple research groups and committees at EPFL. His expertise spans composite materials, structural adhesives, and offshore renewable energy systems. Education: PhD in Mechanical Engineering, University of Patras, Greece (2001) Dipl. Mechanical Engineer, University of Patras, Greece (1995) Erasmus Exchange, University of Bristol, UK (1994–1995) Research Interests: Offshore renewables, particularly wind turbine blade materials and joints Fatigue analysis of composite materials and adhesive joints Experimental and analytical methods for composite structures Design of composite constructions and structural integrity His work emphasizes practical applications in engineering, including wind energy systems and fiber-reinforced polymer (FRP) composites. Teaching & Labs: Teaches courses on structural mechanics, advanced composites, and floating offshore renewables Leads the GR-MEC lab, focusing on composite mechanics and joint behavior Supervised over 15 PhD students at EPFL Grants & Projects: Swiss National Science Foundation-funded projects on bonded composite structures and wind turbine blade materials Research on fire-resistant composite bridge decks and lightning effects on composite structures
Sarah Kirkpatrick is a Professor at the Australian National University (ANU) in the Fenner School of Environment and Society . She is Deputy Director of Communications and Outreach for the ARC Centre of Excellence for 21st Century Weather , Chief Investigator at the ARC Centre of Excellence for Climate Extremes , and Vice President of the Australian Meteorological and Oceanographic Society . Education : BSc (Macquarie University) PhD (UNSW Sydney, 2010) Research Interests : Climate extremes, particularly heatwaves Extreme event attribution (natural vs anthropogenic drivers) Climate modeling and CMIP simulations Urban environment impacts on heatwaves Marine heatwaves and oceanic climate change Research Trends : Recent publications focus on heatwave mortality attribution (2009 Victorian heatwave), humid heat survivability thresholds, net-zero climate impacts, and interdisciplinary work with health experts. Her work integrates climate modeling with physiological vulnerability assessments to analyze age-group specific risks. Scientific Awards : 2021-2023 : Clarivate Highly Cited Researcher 2021 : Australian Academy of Science Dorothy Hill Medal 2016 : Australian Meteorological and Oceanographic Society Early Career Researcher Award Grants & Leadership : Current ANU Futures Scheme 2.0 project (2024-2028) Previously held ARC Discovery Early Career Researcher Award (2014-2017) and Future Fellowship (2017-2023) Scientific partner at the Monash Climate Change Communications Research Hub Outreach & Collaboration : A prominent science communicator in media, she collaborates with health experts, leads climate communication projects, and works with international research teams across 7+ institutions.
Boris Buffoni is a Senior Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Basic Sciences, Institute of Mathematics, specifically within the Chair of Partial Differential Equations. He maintains his office at MA C2 605 (MA Building), Station 8, 1015 Lausanne, Switzerland, and can be contacted at boris.buffoni@epfl.ch or +41 21 693 49 87. His academic role spans both teaching responsibilities across multiple mathematics programs and active research in theoretical and applied mathematics. Dr. Buffoni's research program centers on the calculus of variations applied to Lagrangian and Hamiltonian systems, with significant contributions to optimal transportation in Lagrangian dynamics and hydrodynamics. His work explores semi-global minimization methods for quasi-linear elliptic variational problems and the variational approach to capillary-gravity water waves and their energetic stability. Additional research foci include local bifurcation and center-manifold theory for elliptic PDEs, the configurations of infinite elastic cylinders under compression or traction, and the analytic theory of global bifurcation with applications to gravity waves and their secondary bifurcations. The trajectory of his recent publications reveals a deepening focus on three-dimensional water wave phenomena, particularly steady rotational flows, gravity-capillary solitary waves, and advanced mathematical techniques for analyzing these complex systems. His 2025 publications demonstrate continued innovation in applying Kato's approach to locally coercive problems and developing the theoretical foundations of global bifurcation. The consistent application of variational methods and bifurcation theory across his work represents a unifying theme in addressing challenging problems in fluid dynamics and nonlinear partial differential equations. Dr. Buffoni has received research support including an EPSRC grant (GR/L41059) for work on 'Multibump localised solutions for spatially homogeneous partial differential equations,' reflecting the significance of his contributions to the field. His teaching portfolio at EPFL includes foundational courses such as Analysis II, Functional Analysis I, and Partial Differential Equations of Evolution, where he imparts knowledge of differential and integral calculus of real functions of several variables, linear functional analysis, and fundamental techniques for solving evolution equations.
Myrto Limnios is a Bernoulli Instructor at the Institute of Mathematics at École Polytechnique Fédérale de Lausanne (EPFL), holding dual appointments as Lecturer in the School of Basic Sciences - Mathematics Section and Scientist in the Mathematics Department - Geometry section. Her office is located at CM 1 618 (Centre Midi), Station 10, 1015 Lausanne, Switzerland. Dr. Limnios's academic journey began with her PhD at Centre Borelli, ENS Paris-Saclay, Université Paris-Saclay, under the supervision of Prof. Nicolas Vayatis and Ioannis Bargiotas. Her doctoral thesis, Rank Processes and Statistical Applications in High Dimension , established her expertise in statistical methodology. Following her PhD, she completed a postdoctoral fellowship at the Copenhagen Causality Lab of the University of Copenhagen. Her research program focuses on nonparametric statistics, statistical learning theory, and stochastic processes with biomedical applications. She specializes in causal learning methods for event processes using conditional local independence testing (collaborating with Niels Richard Hansen) and concentration results for k-sample Rank and U-processes (with Prof. Stephan Clémençon of Télécom Paris). Her work bridges theoretical advances with practical implementations in epidemiology, neuroscience, and medical diagnostics. Analysis of her recent publications reveals a strong trend toward developing ranking-based statistical methods with applications to anomaly detection, two-sample testing, and causal inference. Her work demonstrates increasing sophistication in handling high-dimensional event processes while maintaining theoretical rigor in statistical guarantees. Among her notable achievements is the Bernoulli Instructorship at EPFL and organizing the Women in Mathematics conference at EPFL in May 2025, which hosted over 60 participants from Switzerland, France, and Spain. She was also honored with a research visit to the Simons Institute for the Theory of Computing at UC Berkeley in November 2024, hosted by Prof. Peter Bartlett. Dr. Limnios teaches advanced statistical methods at EPFL, including Regression Methods (covering linear regression, analysis of variance, diagnostics, and variable selection) and Empirical Processes (focusing on controlling nonasymptotic behavior of estimator collections). Her GitHub activity shows active development of statistical software for independence testing and anomaly ranking. She maintains active collaborations with the Copenhagen Causality Lab, Télécom Paris, and biomedical research groups, particularly through her work on postural control analysis for Parkinsonian syndromes and epidemiological modeling of infectious diseases.
