Dario De Marinis is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research focuses on fluid dynamics with applications in biomedical engineering, aerospace, and computational physics. Research Interests Fluid-structure interaction modeling Microfluidics and particle transport Biomedical applications (blood flow, valve mechanics) Aerospace engineering (hypersonic flows, turbulence) Numerical methods (Lattice Boltzmann, immersed boundary) Publications Trend Dario's recent work (2015–2025) spans computational fluid dynamics, with emphasis on multiphase flows, viscoelastic material behavior, and biomedical microfluidic devices. He has contributed to aerospace applications and turbulent thermal flows.
Emanuela Ghignoni is an Associate Professor at Sapienza University of Rome's Department of Economics and Law. She teaches Labor Economics and Policies and a STATA Lab. Her research focuses on Labor Economics, Education Economics, and Public Economics, addressing topics like over-education, gender wage gaps, and healthcare disparities. Her work examines social norms influencing childbirth decisions, the impact of international programs (e.g., ERASMUS), and economic disparities in Italy and globally. Research Interests: Over-education and labor market mismatches Gender and immigration-related labor discrimination Healthcare systems efficiency Public policy evaluation Educational expenditure dynamics Her articles analyze labor market transitions, wage gaps, and the interplay between family background and education access. She explores how social norms and economic policies shape labor participation, fertility choices, and STEM/non-STEM wage disparities. Advising & Grants: No formal advisees listed. Grants details not provided. Labs/Teams: Not explicitly mentioned, but her STATA Lab suggests involvement in quantitative research methods.
Federico Becca is an Associate Professor in the Department of Physics at the University of Trieste . He is a theoretical condensed matter physicist specializing in strongly correlated electronic systems , with a focus on spin liquids , superconductivity , and topological phases . His research employs quantum Monte Carlo and exact diagonalizations to study lattice models like the Hubbard and Heisenberg models . Education: Laurea in Physics, Università La Sapienza, Roma (1996) PhD in Condensed Matter, ISAS-SISSA, Trieste (2000) Research Interests: Prof. Becca’s work centers on Mott insulators , spin-liquid phases , and superconductivity in systems with magnetic frustration and strong electron correlations. He investigates unconventional electronic states in reduced dimensions and explores the interplay between spin-phonon interactions and quantum phase transitions . Scientific Collaborations: Alberto Parola (Insubria University) Michele Fabrizio (SISSA) Roser Valenti (University of Frankfurt) Didier Poilblanc (University of Toulouse) Yasir Iqbal (Indian Institute of Technology Madras) Current Projects: Unravelling the intertwined correlated states of matter in moiré superlattices (funded by MINISTERO DELL'UNIVERSITA' E DELLA RICERCA). He also leads the "Studio computazionale del modelli di Kane and Mele" project as a Scholar at risk.
Hugo Georges Victor Lavenant serves as Assistant Professor in the Department of Decision Sciences at Bocconi University, Milan, where he has held a faculty position since 2020. Previously, he completed a postdoctoral fellowship at the University of British Columbia (2019-2020) under the Pacific Institute of Mathematical Sciences and earned his PhD in Mathematics from Université Paris-Sud (2016-2019) under Filippo Santambrogio's supervision. His academic foundation includes: PhD in Mathematics, Université Paris-Sud (2016-2019) Studies at École Normale Supérieure (2012-2016) covering mathematics, physics, history, and philosophy of science Classes préparatoires in mathematics and physics (2010-2012) Lavenant's research centers on optimal transport theory and its applications across mathematical disciplines. He investigates geometric structures in Wasserstein spaces, develops numerical methods for dynamical optimal transport, and bridges theoretical advances with Bayesian statistics. His work demonstrates particular innovation in trajectory inference for biological data and dependence measures for random measures, connecting pure mathematics with computational statistics. Recent publications reveal accelerating interdisciplinary impact, with 2024-2025 works extending optimal transport to machine learning (kernel methods, variational inference) and data science (opinion dynamics, single-cell analysis). This trajectory shows increasing methodological sophistication in handling measure-valued mappings and non-smooth geometries while maintaining computational tractability. Award recognition includes: Pacific Institute of Mathematical Sciences Postdoctoral Fellowship Lavenant actively mentors early-career researchers through formal advising relationships and collaborative projects. He currently supervises two PhD candidates (George Kanchaveli and Francesco Mascari, co-advised with Marta Catalano) and has guided Master's students including Mathis Hardion and Niccolò Bargellini. His teaching portfolio spans advanced analysis, optimization, and real analysis courses at Bocconi, reflecting his commitment to mathematical rigor in education. He operates within Bocconi's Decision Sciences ecosystem while maintaining international collaborations with researchers at UBC, Université Paris-Sud, and statistical groups worldwide. Current projects focus on entropy-based transport methods and geometric approaches to nonparametric statistics, positioning his work at the intersection of theoretical mathematics and data-driven applications.
Prof. Maria Laura CARRANZA is a Full Professor at the University of Molise, Department of Biosciences and Territory. Her work focuses on ecology, remote sensing, and environmental conservation, particularly in Mediterranean coastal ecosystems. She leads the Envix Lab, emphasizing vegetation mapping, invasive species dynamics, and climate change impacts. Her research integrates multi-source remote sensing (e.g., Sentinel, UAVs) with field data to assess biodiversity, dune ecosystems, and human-environment interactions. Key projects include monitoring plant invasions (e.g., Acacia saligna), coastal resilience, and citizen science contributions to ecological data collection. Education background and formal qualifications are not explicitly detailed in the provided text. Her research spans over 15 years, with recent emphasis on Mediterranean dunes, urban biodiversity, and global change effects on alpine grasslands. She collaborates internationally, notably in Argentina (Gran Chaco forests) and Pakistan (yak herding dynamics). Research interests include functional traits of plant communities, spectral diversity metrics, and conservation strategies for threatened ecosystems. Her work highlights the role of protected areas in mitigating litter accumulation and preserving cultural services. She has contributed to policy frameworks like Natura 2000 and the EU’s Invasive Species Directive through applied research. Publications emphasize the synergy between remote sensing and field ecology, with over 30 peer-reviewed articles since 2016. Her work on Acacia saligna invasion models and dune eco-geomorphology via UAVs has advanced management practices. She also explores educational innovations, such as online course efficacy for field subjects like bird recognition.
Stefano Scialo' is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center Ec-L - Energy Center Lab and serves as the contact person for the Bachelor's Degree Program in Mathematics for Engineering (L3). His academic journey began with a Master’s in Aerospace Engineering (2007), followed by a PhD in Mathematics for Engineering (2014), both from the same institution. After his PhD, he held postdoctoral and Assistant Professor positions at DISMA before being promoted to Associate Professor. Education: PhD in Mathematics for Engineering, Politecnico di Torino, 2014 Master in Aerospace Engineering, Politecnico di Torino, 2007 His research focuses on advanced numerical methods for partial differential equations, particularly in the context of complex multiscale and multiphysics systems. Key areas include the Virtual Element Method (VEM), domain decomposition techniques based on PDE-constrained optimization, and the simulation of flows in fractured porous media. He has made significant contributions to 3D-1D coupled problems, with applications in geosciences and biomedical modeling such as tumor-induced angiogenesis. His methodological work emphasizes robustness, scalability, and applicability to non-conforming and polygonal meshes, enabling high-performance computing solutions. The trend in his recent publications reveals a strong emphasis on developing and analyzing mixed virtual element methods, optimization-based coupling strategies, and their applications to engineering and biological systems. His work bridges theoretical numerical analysis with practical implementations in fluid dynamics and subsurface flow. Scientific Contributions: Principal Investigator of the FREYA project (2023–2026) on hybrid numerical approaches for fault reactivation. Coordinator of the INdAM-GNCS research project (2018–2019). Member of the research group "Numerical Analysis and Scientific Computing" at DISMA. Stefano Scialo' actively supervises doctoral students, including Matteo Trombini in the PhD program in Mathematical Sciences. He teaches a range of courses such as Advanced Scientific Programming in MATLAB, Numerical Methods and Scientific Computing, and specialized topics on Virtual Element Methods. He also contributes to curriculum development and academic governance through roles in doctoral colleges and degree program committees, including those for Mathematical, Mechanical, Aerospace, and Automotive Engineering. Laboratories and Research Groups: Member, Interdepartmental Center Ec-L - Energy Center Lab Research Group: Numerical Analysis and Scientific Computing (DISMA)
Francesca Ieva serves as Associate Head of the Health Data Science Centre at Human Technopole and Associate Professor of Statistics at the Politecnico di Milano, where she leads the MOX - Modeling and Scientific Computing laboratory within the Department of Mathematics. She also co-leads the Di Angelantonio & Ieva Group, a collaborative research team focused on integrating molecular data with clinical information to advance precision medicine. Dr. Ieva received her PhD in Mathematical Models and Methods for Engineering in 2012. Her academic journey has positioned her at the forefront of health data science, bridging statistical methodology with biomedical applications. Her research focuses on statistical learning in biomedical sciences, with particular emphasis on developing advanced models for integrating complex clinical data to inform predictions in clinical decision-making. Francesca's work spans multiple domains including: Development of novel survival analysis techniques for healthcare applications Integration of DNA methylation data for cardiovascular risk prediction Application of machine learning to clinical pathway analysis in mental health Innovative approaches to polygenic risk scoring incorporating SNP interactions Development of radiomics models for cancer prognosis and treatment response Analysis of Dr. Ieva's recent publications reveals a strong trend toward federated learning approaches in healthcare data analysis, reflecting growing concerns about data privacy while maintaining analytical power. Her work increasingly integrates multiple data types (genomic, epigenetic, imaging, and clinical records) to create more comprehensive patient profiles for precision medicine applications. A notable pattern is her focus on translating complex statistical models into clinically actionable tools that can directly inform patient care and healthcare policy decisions. As Associate Head of the Health Data Science Centre at Human Technopole, Dr. Ieva oversees a research group comprising epidemiologists, statisticians, and data scientists working collaboratively to bridge the gap between genotype and phenotype. The Di Angelantonio & Ieva Group develops innovative studies that integrate biomolecular data with medical records, imaging, and portable medical device data. Her team utilizes both existing healthcare data and newly generated population-based studies, applying novel analytical methods that integrate clinical epidemiology with health research to improve data interpretation. Dr. Ieva actively mentors several PhD students including Andrea Lampis, Katherine Marie Logan, Alessia Mapelli, Michela Carlotta Massi, and Andrea Mario Vergani. Her research has been supported by collaborations with major healthcare institutions and likely receives funding from research councils and health technology initiatives, though specific grant details are not provided in the available information.
Paola Cantoni is an Associate Professor at the Department of Modern Literature and Culture , Sapienza University of Rome, Faculty of Arts. She teaches courses in Istituzioni di Storia della Lingua Italiana (12 CFU) and Didattica dell'Italiano e Sociolinguistica , with a focus on Italian language teaching, sociolinguistics, and historical linguistics. Her research spans linguistic variation, educational linguistics, and dialect studies. Current courses: Italian Language History (Undergraduate), Italian Didactics and Sociolinguistics (Master's) Office hours: Tuesday 10:00-11:00, Thursday by appointment (Studio C, 3rd floor) Her publications address topics like: Linguistic variation in educational contexts Historical pragmatics of teacher discourse Dialect representation in literature Language of fascism in school registers Italian punctuation and textual practices She utilizes digital platforms (Google Classroom, Meet) for remote teaching and has presented research at conferences like the Convegno Luca Serianni e la Storia dell'Italiano . Her work includes analyzing historical educational texts and developing teaching methodologies for Italian language variation.
Emidio Capriotti is an Associate Professor at the Department of Pharmacy and Biotechnology, University of Bologna. He leads the Second Cycle Degree in Bioinformatics and holds a PhD in Physical Sciences. His research focuses on predicting protein stability changes due to genetic variations using machine learning, with applications in personalized medicine. He develops tools like DDGun and PhD-SNPg for variant interpretation. Teaching includes courses on Bioinformatics, Biophysics, and Lab Techniques for Bioinformatics. His work bridges computational methods and biological problems, particularly in cancer genomics and protein structural analysis. Education: PhD in Physical Sciences from the University of Bologna. Research interests include structural bioinformatics, protein folding, and the interplay between genomic variations and disease. He collaborates with initiatives like CAGI challenges and ELIXIR-IT to advance genomic data infrastructure. Publications emphasize protein stability prediction, federated learning in clinical settings, and benchmarking computational methods. His lab contributes to open-source tools and standards for reproducible machine learning in biology.
Emilio Musso is a Full Professor in the Department of Mathematical Sciences "GL Lagrange" (DISMA) at Politecnico di Torino, Italy. His research spans differential geometry, exterior differential systems, integrable systems, and submanifold theory, with strong applications in geometric analysis and mathematical physics. Research Interests: Differential Geometry, Conformal Geometry, Lorentzian and CR Geometry, Integrable Systems, Elasticae, Variational Problems on Curves and Surfaces. Academic Leadership: Scientific Director of the PRIN projects (2013–2016, 2019–2022) and ReCoMa (2023–2025); Scientific Manager of the Erasmus+ ECCUM project (2015–2018). External Appointments: Full Professor at Turin Polytechnic University in Tashkent (2011–2021). His research focuses on the geometric properties of curves and surfaces under conformal and pseudohermitian structures, including null curves in anti-de Sitter space, elasticae in the hyperbolic plane and 2-sphere, and Legendrian curves in the 3-sphere. He frequently employs integrable systems techniques and exterior differential systems to analyze geometric evolution equations and variational problems. The recent publications reveal a consistent focus on conformal invariants, geometric flows, CR geometry, and the interplay between differential geometry and soliton theory. His work often involves collaboration with Lorenzo Nicolodi, Álvaro Pámpano, and Gary R. Jensen. Scientific Awards: IOP Select (2015) ANASSILAOS Award (2015) Professional Service: Member of the Italian Mathematical Union (2015–2021), Interuniversity Consortium for Higher Education in Mathematics (2021), and the F. Severi Institute of Higher Mathematics (1986–2021). Former editor-in-chief (2018–2021) and editorial board member (2015–2018) of Mathematical Seminar Reports . Active participant in scientific committees of international conferences in differential geometry. Teaching and Mentorship: Longstanding involvement in doctoral programs at the University of Turin, Politecnico di Torino, and the University of L’Aquila. He has taught courses such as Linear Algebra and Geometry and Differential and Computational Geometry, and served as a collaborator in the PhD course Fundamentals of Differential Geometry . Research Groups: Functional Analysis and Differential Geometry (DISMA), with active projects in harmonic analysis, discrete differential geometry, and submanifolds in Lorentzian conformal and Cauchy-Riemann geometries.
Maria Giuseppina Pacilli is a Professor in the Department of Political Science at the University of Perugia, Italy. She specializes in teaching and researching Social Psychology, Digital Media Psychology, and Ethics of Organizations. She leads courses in Political Science, Communication Studies, Social Work, and Public Policy. Her research focuses on social psychology of digital media, gender-based violence, moral judgments in victimization cases, and organizational ethics. Recent work examines sextortion victim perceptions, gender roles in corruption, and pandemic-related scapegoating. She has published over 50 peer-reviewed articles since 2018, addressing topics like LGBTQ+ stigma, bystander intervention in intimate partner violence, and cultural variations in collective action intentions for gender equality. Her teaching responsibilities include: Psychology and Ethics of Organizations (LM45/LM47) Digital Media Psychology (LM95) Social Policy Planning (LM47) Communication Studies (L146) Notable research themes include: Cross-cultural moral judgments about gendered victimization Psychological mechanisms behind victim-blaming Digital media's impact on social norms Political communication strategies in public policy Her work combines experimental social psychology methods with qualitative analyses of policy impacts, contributing to both academic and applied knowledge in organizational ethics and gender studies.
Giuseppe Toscani is a Full Professor at the Department of Mathematics of the University of Pavia. His research focuses on mathematical modeling of socio-economic systems, epidemiological dynamics, and kinetic theory. He explores topics such as wealth distribution, opinion formation, and epidemic spread using advanced methods in partial differential equations and statistical mechanics. Key research areas include analysis of inequality indices (Gini Index extensions), multi-agent systems, and nonlinear diffusion processes. His work intersects with applications in public health, economic policy, and social behavior modeling, emphasizing the interplay between theoretical frameworks and real-world phenomena. Education: Not explicitly detailed in provided texts, but his academic role implies a doctoral degree in Mathematics or related field. Labs/Teams: Affiliated with the Methods and Models for Applied Sciences research group. Grants/Awards: No specific grants or awards listed in the text. Recent publications address condensation patterns in opinion dynamics, multidimensional inequality metrics, and pandemic modeling through compartmental systems. His kinetic models provide foundational tools for understanding complex social and biological systems.
Salvatore Stuvard is an Associate Professor at the Department of Mathematics 'Federigo Enriques' of the University of Milan. He holds a Ph.D. from the University of Zurich (2017) and served as a Bing Instructor at the University of Texas at Austin (2017–2021). His research focuses on regularity theory for solutions in geometric analysis, particularly minimal surfaces, mean curvature flows, and geometric measure theory. He has organized seminars such as the Analysis Seminar at the University of Milan and co-organizes events like the 'Geometric Methods in Calculus of Variations.' His work bridges PDEs, geometric flows, and variational methods, addressing singularities and structural properties of geometric objects. Research interests include: Geometric Analysis and Geometric Flows Partial Differential Equations (PDEs) and Calculus of Variations Mean Curvature Flow (Brakke flows and multi-phase dynamics) Modulo p minimization and singular set structure Soap film/capillarity models and free-boundary problems Recent work emphasizes dynamical instability of minimal surfaces, end-time regularity of Brakke flows, and singular limits in capillarity problems. He co-organized the 2025 'Geometric Methods in Calculus of Variations' conference in Pisa.
Alpár R. Mészáros is a Full Professor at Durham University's Department of Mathematical Sciences. His research focuses on optimal transport, partial differential equations, and mean field games. He has organized conferences such as the 2025 Durham Symposium on Mean Field Games and contributed to events like the LMS Invited Lecture Series in 2023. Mészáros holds a PhD in Mathematics and has authored numerous papers on topics including displacement monotonicity, master equations, and cross-diffusion systems. His work bridges theoretical mathematics with applications in control theory and stochastic processes. Education: PhD thesis on A variational approach to second order mean field games with density constraints (2015), MSc thesis on BV Estimates in Optimal Transportation (2015). Research interests span optimal transport theory, nonlinear PDEs, and their interplay with game theory and probability. Key contributions include analysis of mean field games master equations, convergence rates for particle systems, and well-posedness results for Hamilton-Jacobi-Bellman equations. His publications reflect a focus on monotonicity conditions, conservation laws, and stabilization in dynamic systems. Collaborations include work with leading researchers like Wilfrid Gangbo, Filippo Santambrogio, and Charles Mou. He actively contributes to the academic community through organizing workshops and advancing theoretical frameworks in applied mathematics.
Malcolm Mistry is an Adjunct Professor at the Department of Economics, Ca' Foscari University of Venice. He specializes in climate change impacts, environmental epidemiology, and energy policy, focusing on sectors such as agriculture, health, and energy. His research integrates econometric methods, climate modeling, and large dataset analysis to assess climate-related risks and adaptation strategies. Education: PhD in Science and Management of Climate Change (Ca' Foscari University of Venice, 2017) MSc in Weather and Climate Modelling (University of Reading, UK, 2006) Bachelor of Information Technology (Indira Gandhi National Open University, India, 2004) Research Interests: Climate extremes and human health impacts Energy demand for adaptation (e.g., air conditioning) Climate datasets and modeling tools (e.g., R Climpact package) Policy-relevant assessments of climate change vulnerabilities Teaching: He teaches advanced courses on climate change economics, statistical computing (R/Python), and environmental epidemiology in PhD/MRes programs at Ca' Foscari and the London School of Hygiene & Tropical Medicine (LSHTM). Awards: His work on climate spillovers in the EU received the Best Paper Award in 2021. He leads or co-leads multiple research projects funded by the EU, UK Medical Research Council, and Belmont Forum. Grants & Collaborations: Principal Investigator: Marie Skłodowska-Curie Fellowship (MORDIC Project, 2022–2024) Co-Investigator: EXHAUSTION (EU H2020) and GA MR/V034162/1 (MRC) Consultant: Red Cross Red Crescent Climate Centre Labs & Teams: Member of the EHM Lab (LSHTM) and developer of the R Climpact package for climate extreme indices. Active in global health collaborations addressing heat-related mortality and environmental exposures.
