Donald Robertson is a Lecturer in Pure Mathematics at the University of Manchester, specializing in ergodic theory with applications to additive combinatorics. His work connects measurable dynamics with combinatorial number theory problems. Research explores ergodic properties of interval exchange transformations, sumset configurations in infinite sets, and equidistribution in homogeneous dynamics. Recent publications address Erdős' sumset conjecture (2022), saddle connection distributions (2023), and disjointness in measurable group actions. He teaches measure theory and ergodic theory courses, employing problem-based learning through weekly take-home tests. Coursework emphasizes Lebesgue integration, ergodic theorems, and connections between dynamics and combinatorics.
Mark Pollicott is a Professor of Mathematics at the University of Warwick, where he has held positions since 1992 and 2005. He previously served at Edinburgh, Porto, and Manchester Universities, including a Fielden Chair. His research focuses on Thermodynamic Formalism, Ergodic Theory, and Dynamical Systems, with applications to geometry, number theory, and fractal analysis. Pollicott earned his BSc (1981) and PhD (1984) in Mathematics and Physics from Warwick, under the supervision of William Parry. He has held prestigious fellowships, including Royal Society and ERC grants, and organized major programs at the Newton Institute, CIB-Lausanne, and ICERM. He serves on editorial boards for journals like Nonlinearity and Journal of Fractal Geometry . His research explores topics such as fractal dimensions, geodesic flows, and validated numerics. Notable contributions include studies on the Hausdorff dimension of Cantor sets and Bernoulli convolutions. He has supervised 19 PhD students and mentored 18 postdoctoral researchers. Recent grants include EPSRC funding for computational ergodic theory and dynamical zeta functions. His work bridges pure mathematics with applications in geometry, analysis, and number theory. Awards: ERC Advanced Grant, EPSRC Leadership Fellowship, Royal Society Fellowships, Jean Morlet Chair Grants: EPSRC (2019-2025, 2026-2030), ERC (2019-2025) Collaborations: Co-organized programs on Thermodynamic Formalism and Dynamics at CIRM and Warwick
Neil Leonard is a Professor at Berklee College of Music and the founding Artistic Director of the Berklee Interdisciplinary Arts Institute. He is affiliated with the Department of Electronic Production and Design (EPD) within the College of Arts and Sciences. His artistic and academic work bridges music, technology, and interdisciplinary collaboration. Ph.D. or equivalent terminal degree in composition or sound art (inferred from academic rank and output) Extensive international residency and fellowship experience Leonard's research and artistic practice centers on sound art, electroacoustic composition, and multimedia performance . He explores immersive multichannel audio, live electronics, and collaborations with visual artists, dancers, and filmmakers. His work investigates the resonance of cultural memory, urban soundscapes, and historical acoustics. He integrates technology and philosophy, often drawing from astronomy, Plato, and intercultural exchange. His recent works, including Matanzas Sound Map (Tate Modern, 2025), Sonance for the Precession , and For Kounellis , reflect a trend toward site-specific, durational sound installations that merge scientific concepts with poetic expression. These pieces utilize field recordings, algorithmic processing, and spatial audio to create immersive environments. His scientific and artistic honors include: Fulbright Specialist Award (2016) Distinguished Faculty Award, Berklee (2011) International CubaDisco Award (2015) Rauschenberg Residency (2016) Sacatar Institute Fellow (2023) MIT Art, Culture, and Technology affiliate U.S. State Department Fulbright Specialist Roster (2013–present) Leonard is deeply committed to mentoring students, particularly in refining portfolios and developing lifelong learning strategies. He emphasizes time management as a compositional skill and encourages adaptability in the evolving music industry. He has led major collaborative projects such as The Berklee Sessions with Robin Rimbaud (Scanner) and has performed with renowned artists including Vijay Iyer, Rudresh Mahanthappa, and Los Muñequitos de Matanzas. He co-founded and leads the Berklee Interdisciplinary Arts Institute , fostering cross-departmental collaborations and innovative performance practices. His work continues to be exhibited globally, from Documenta and Venice Biennale to Mass MoCA and the Peabody Essex Museum.
W. Patrick Hooper serves as Professor, Chair, and Majors Advisor in the Department of Mathematics at City College of New York, part of the City University of New York system. He maintains a dual appointment as Math Doctoral Faculty at the CUNY Graduate Center, where he holds office in Room 4217.02 and can be reached at 212-817-8567. Hooper completed his undergraduate studies in mathematics at the University of Maryland, where he participated in the Experimental Geometry Lab. He earned his PhD in 2006 from Stony Brook University under Yair Minsky, focusing on billiards in polygons and their connections to Teichmüller theory. Following approximately three years as a Boas Assistant Professor at Northwestern University, he joined City College in spring 2010. His research centers on dynamical systems defined by piecewise continuous maps that preserve geometric structure away from discontinuities. By studying piecewise continuous isometries, Hooper explores richer classes of dynamical systems that reveal novel phenomena beyond the constraints of continuous isometry groups. His work frequently connects to geometry through interval exchange maps and their relationship to Teichmüller theory, examining how discretization creates new dynamical behaviors bridging geometric and dynamical perspectives. Analysis of Hooper's publication record shows consistent advancement in understanding infinite translation surfaces and their ergodic properties, with recent work extending to prism geometries and stellar foliation structures. His research demonstrates increasing sophistication in connecting abstract dynamical systems to concrete geometric constructions, particularly through the lens of cube surfaces and periodic structures. Professor Hooper has mentored students including Kadar He, who recently advanced to the PhD program at CUNY's Graduate Center. His research has been presented at numerous international conferences including at the Hausdorff Institute in Bonn, Germany, and the Fields Institute in Toronto. The IT-ROCS REU program at CCNY, mentioned in August 2025 news, likely represents current undergraduate research initiatives he oversees. His mathematical image gallery showcases the visual dimension of his research, featuring eigenfunction curves, quasi-periodic truchet tilings, and the Necker cube surface, demonstrating how geometric visualization informs his theoretical work in dynamical systems.
Richard Kenyon is the Erastus L. DeForest Professor of Mathematics at Yale University, serving as Director of Undergraduate Studies. His research focuses on statistical mechanics, probability, and discrete geometry, with notable contributions to dimer models, random tilings, and integrable systems. He has explored topics such as limit shapes, phase transitions, and combinatorial configurations. His work intersects algebraic geometry, combinatorics, and mathematical physics, often involving the analysis of lattice models and their applications. His research includes open problems such as tiling optimization, geometric spanning surfaces, number theory questions, and rigidity of tilings. Kenyon's gallery showcases visualizations of mathematical concepts, including random triangulations, Vinnikov curves, and conformal mappings. His academic contributions span over three decades, with recent articles addressing dimers, webs, and eigenvalue properties. He actively collaborates on projects like the six-vertex model, multiwebs, and renormalizable dynamical systems. Kenyon’s academic service includes directing undergraduate studies at Yale and contributing to initiatives in discrete differential geometry. His work highlights the interplay between pure mathematics and applied probability, with applications in physics and combinatorial optimization.
Max Planck Institute for Mathematics in the SciencesGermany
Martin Mion-Mouton is a researcher in Mathematics at the Max Planck Institute for Mathematics in the Sciences (Leipzig), working in Anna Wienhard's 'Geometry, Groups, and Dynamics' research group. He holds a PhD from the University of Strasbourg (2020) under Charles Frances. Previous roles include a postdoctoral fellowship at the Technion (2021–2023) and an ATER position (temporary teaching/research) at Strasbourg University (2021). His research focuses on geometric structures interacting with dynamical systems, emphasizing rigidity phenomena and their implications for geometry and dynamics. Key research areas include rigid geometric structures, parabolic Cartan geometries, flag structures in 3D, partially hyperbolic diffeomorphisms, Anosov flows, singular Lorentzian surfaces, and homographic interval exchange maps. His work bridges differential geometry and dynamical systems, with contributions to geometric compactifications, path structures, and classification of homogeneous structures. Recent activities include talks at the Institute of Mathematics of Toulouse, Jussieu, and conferences on complex hyperbolic geometry and ergodic theory. He has supervised a master’s student (Justin Rieber, 2021) and engaged in outreach, including collaborations with French schools. His academic network spans institutions in France, Germany, Israel, and Brazil. Notable publications include studies on lightlike bi-foliation rigidity, flag structure surgeries, and automorphism group classifications in path geometries.
University of North Carolina at CharlotteUnited States
Reuben Howden is a Professor in the Department of Applied Physiology, Health, and Clinical Sciences at the University of North Carolina at Charlotte (UNC Charlotte). He holds a B.Sc. (hons) in Sports Science from Anglia Ruskin University (1999) and a Ph.D. in human blood pressure regulation from De Montfort University (2002). His research focuses on genetic influences on cardiopulmonary function and mechanisms of blood pressure regulation through isometric training. He directs the Exercise Physiology Research Laboratory and collaborates with researchers across disciplines, including biology and environmental health sciences. Dr. Howden’s academic career includes six years of post-doctoral work at the National Institute of Environmental Health Sciences (2002–2008) before joining UNC Charlotte in 2008. His work explores genetic markers (QTLs) associated with heart rate variability and cardiopulmonary responses under environmental stressors like hyperoxia. He is a member of the American Heart Association and American College of Sports Medicine, reviewing for seven peer-reviewed journals. His publications span topics including genetic predictors of lung injury, cytokine roles in pulmonary inflammation, and pharmacogenomic impacts on cardiac function. Research trends emphasize translational physiology bridging genetics, exercise science, and environmental health. Dr. Howden engages in interdisciplinary collaborations with researchers such as Dr. Susan Arthur (Kinesiology), Dr. Yvette Huet (Biology), and Dr. Steven Kleeberger (NIEHS). He actively contributes to university committees and maintains an active research lab focused on advancing cardiovascular and pulmonary physiology understanding.
Damien Garreau is Professor for the Theory of Machine Learning at Julius-Maximilians-Universität Würzburg , Germany. Until March 2024 he served as Associate Professor in the Probability and Statistics team of the J. A. Dieudonné laboratory at Université Côte d'Azur and was a member of the Inria Maasai team in Sophia-Antipolis. Earlier positions include post-doctoral research at the Max Planck Institute for Intelligent Systems in Tübingen and PhD studies in the Inria Sierra team in Paris. Education & Career Path PhD, Inria Sierra team, Paris – advisors Sylvain Arlot & Gérard Biau Post-doc, Max Planck Institute for Intelligent Systems, Tübingen – mentor Ulrike von Luxburg Associate Professor, Université Côte d’Azur / Inria Maasai (until March 2024) Professor for Theory of Machine Learning, Julius-Maximilians-Universität Würzburg (since 2024) Research Focus Garreau’s research centers on trustworthy machine learning . He investigates how to explain, audit, and robustify modern AI systems, with particular emphasis on post-hoc interpretability , statistical guarantees of explanation methods, fairness , and causality . Representative contributions include theoretical analyses of LIME and Anchors, novel explanation methods such as SMACE and GLEAMS, and practical tools for vision and NLP that remain faithful under adversarial or out-of-distribution settings. Across computer vision, natural-language processing, and healthcare applications, his work bridges rigorous theory with impactful algorithms, advancing the societal goal of deploying AI systems whose decisions can be trusted and understood by humans. Scientific Awards & Recognition Best Paper Award , ECML 2024 Area Chair , ICML 2025 ANR JCJC Grant NIM-ML (2021–2025) Université franco-allemande support for Winter School on Causality and Explainable AI Advising, Grants & Collaborative Projects Garreau has successfully supervised or co-supervised a growing cohort of doctoral and master’s students, including Gianluigi Lopardo, Kensuke Mitsuzawa, Martin Charachon, Jonas Wacker, Samuel, Antonio, Magamed, Arthur Assad, Charbel Yahchouchi, and Mariana Chaves. He is the PI of the ANR JCJC project NIM-ML , whose goal is to develop next-generation interpretability methods endowed with statistical guarantees. He co-organizes the annual Winter School on Causality and Explainable AI , fostering Franco-German academic exchange. Labs & Teams Since 2024 he leads the Professorship for the Theory of Machine Learning at Julius-Maximilians-Universität Würzburg. Previously he was a core member of the Maasai Inria team on the Sophia-Antipolis campus, and an active collaborator of the J. A. Dieudonné mathematics laboratory. He maintains strong ties with the TML group at the Max Planck Institute for Intelligent Systems and regularly hosts joint visitors and workshops.
Stefano Marmi is a Full Professor of Mathematical Physics at the Faculty of Sciences, Scuola Normale Superiore in Pisa, Italy. He joined the institution as a full professor of Dynamical Systems on November 1, 2003, after serving as an associate professor at the University of Udine and a researcher at the University of Florence. His academic journey began with Physics studies at the University of Bologna, where he graduated in June 1986 and later earned his PhD in Theoretical Physics (specializing in Mathematical Methods for Physics) in 1990. Professor Marmi's research primarily focuses on Dynamical Systems , with particular emphasis on quasiperiodic motions, KAM theory, and geometric renormalization in holomorphic and Hamiltonian dynamical systems. His work also extends to analytic number theory (including Lambert series and continued fractions), elliptic curves, and applications of mathematics to life sciences and medicine. His publication record demonstrates consistent contributions to the field since the early 1990s, with recent work concentrating on interval exchange maps, small divisor problems, and complex dynamics. His research trends show a consistent thread connecting dynamical systems theory with number theory, particularly through the study of continued fractions and their dynamical properties. The most recent publications (2010-2012) reveal an increasing focus on quantitative aspects of dynamical systems, including entropy calculations and numerical analysis of alpha-continued fractions. His work maintains strong connections with mathematical physics applications. ISAAC Prize winner in 1999 Invited speaker at Bourbaki Seminar (exposé 854, November 14, 1998) Professor Marmi has maintained significant international collaborations throughout his career, particularly with Jean-Christophe Yoccoz at the Collège de France in Paris, Pierre Moussa at SPhT, CEA in Saclay, France, and Carlo Carminati at the University of Pisa. His teaching portfolio includes courses on Dynamical Systems, Statistical Mechanics, Rational Mechanics, and specialized PhD courses on Holomorphic Dynamical Systems, Hamiltonian Systems, Small Divisors, and Analytic Number Theory. He has also developed courses connecting dynamical systems theory with financial time series analysis.
Dr. Timothy C. Bartholomaus serves as Associate Professor in the Department of Earth and Spatial Sciences within the College of Science at the University of Idaho. Leading the Glacier Dynamics Group in Moscow, ID, his research integrates seismology and geophysics to investigate glacier dynamics, ice-ocean interactions, and sea level rise projections. His work spans field sites in Alaska, Greenland, Antarctica, and Svalbard with emphasis on subglacial hydrology, iceberg calving mechanisms, and rapid ice loss processes. His educational background includes: PhD in Geophysics (2013), University of Alaska Fairbanks MS in Geological Sciences (2007), University of Colorado Boulder AB in Earth Sciences (2002), Dartmouth College Bartholomaus' research focuses on the fundamental processes driving glacier acceleration and mass loss. His group employs seismic monitoring to map subglacial water systems, revealing how conduit branching and pressure gradients control ice flow. Seminal work demonstrated that changes in subglacial water storage—not total throughput—govern glacier velocity, overturning prior assumptions. Current projects examine glacier surges through enthalpy-based modeling, ice mélange impacts on fjord stratification, and calving style differentiation using terminus change time series. Analysis of his recent publications reveals strong emphasis on interdisciplinary approaches combining seismology, hydrology, and remote sensing. Key trends include seismic mapping of subglacial hydrology during surge cycles, quantification of submarine melt effects on calving, and development of applied ice sheet modeling frameworks for policy relevance. His work increasingly addresses societal implications through sea level rise projections and community engagement initiatives. As principal investigator, Bartholomaus has secured funding from the National Science Foundation and the University of Alaska Fairbanks Center for Global Change. His Glacier Dynamics Group mentors graduate students through field campaigns in Alaska and Greenland, with recent graduates including Dr. Chris Miele (PhD dissertation: 'Shearing shelves, mathematical modeling, and fracture factories'). The group actively participates in major workshops including the Future of Greenland Ice Sheet Science (FOGSS) and Northwest Glaciologists meetings. The Glacier Dynamics Group operates through collaborative networks including the International Glaciological Society and multi-institutional projects like the 2023 FOGSS workshop hosted at UI. Field operations span the St. Elias Range, Greenland fjords, and Antarctic ice shelves, utilizing seismic arrays, GPS monitoring, and oceanographic sensors to capture ice-ocean interactions at process scales.
Yutaka Kosaki is Professor of Psychology at Waseda University’s School of Humanities and Social Sciences, where he has taught since 2017 and served as full Professor from 2022. After obtaining his Ph.D. in Experimental Psychology from the University of Cambridge (2008), he held research positions at Durham, Cardiff, Keio and Waseda universities, building an international profile in learning psychology, behavioural neuroscience and pharmacology. Education Ph.D. Experimental Psychology, University of Cambridge, 2008 Research Interests Kosaki’s work integrates associative learning theory with behavioural neuroscience to clarify how animals and humans acquire, extinguish and re-instate goal-directed versus habitual actions. His recent projects examine (i) reinforcement-schedule determinants of habit formation, (ii) context and renewal effects in extinction, (iii) spatial learning and higher-order conditioning without a cognitive map, and (iv) aberrant associative processes in mouse models of autism and schizophrenia, including ketamine-induced disruptions of stimulus selection. Publication Trends Across 29 Scopus-listed papers (h-index 11, 413 citations) his articles consistently combine rigorous behavioural assays (operant schedules, place/response mazes, US devaluation, conditioned reinforcement) with neuropharmacological manipulations (ketamine, methamphetamine, oxytocin) and lesion or optogenetic approaches. Dominant themes are the neural and computational mechanisms governing the transition from flexible, outcome-sensitive actions to inflexible, stimulus-bound habits, and how these processes malfunction in neuropsychiatric conditions. Scientific Awards Waseda Research Award (International Research Dissemination), 2018 Indo-Taro Prize, 2018 Japanese Association of Basic Psychology Excellent Paper Award, 2016 Nakajima Memorial International Exchange Scholarship, 2004 Grants & Editorial Service He currently leads JSPS KAKENHI and alcohol-science-foundation projects on habit formation and addiction, and serves as Editor of the Japanese Journal of Animal Psychology after six years as editorial assistant. He is a member of the Japan Neuroscience Society, Japanese Society for Animal Psychology and Society for Neuroscience. Laboratory & Teaching At Waseda he supervises undergraduate and graduate theses and teaches core courses including Psychology of Learning, Introduction to Psychology and Experimental Practicals. His lab accepts domestic and international graduate students and JSPS post-doctoral fellows interested in associative learning, spatial cognition and the neurobiology of mental disorders.
Yaroslav Vorobets is an Associate Professor in the Department of Mathematics at Texas A&M University, part of the College of Arts & Sciences. He holds a Ph.D. (1998) and M.S. (1994) from Moscow State University. His research focuses on Dynamical Systems, Group Theory, and related areas such as Topological Groups, Automata Theory, and Billiards in Polygons. His work spans theoretical studies of group actions (e.g., Grigorchuk group dynamics, topological full groups), ergodic properties of billiards, and applications of automata theory. Notable contributions include studies on maximal subgroups in ample groups, Schreier graphs, and free groups generated by automata. Vorobets has taught advanced undergraduate and graduate courses in linear algebra, differential equations, and abstract algebra, reflecting his expertise in foundational mathematical structures. Key research themes include the interplay between algebraic structures (groups, automata) and dynamical systems, with applications to geometric and probabilistic contexts. His publications address topics like measure transformations under automata actions, growth properties of random groups, and periodic orbit stability in billiard systems.
Elçin ERGİN TALAKA is an Assistant Professor (Doktor Öğretim Üyesi) at Kastamonu University's College of Fine Arts and Design, Department of Musicology. She holds both full-time and part-time positions (2020-present) and serves as Department Head and Assistant Dean. Her academic journey includes a PhD in Music Education from Abant İzzet Baysal University, a Master's from Gazi University, and ongoing sociology studies at Anadolu University. Research Focus: Her work centers on music pedagogy with specialized interests in solfege instruction, classical guitar training, Turkish folk traditions, and sociological dimensions of music education. She frequently examines adaptive teaching methodologies, including pandemic-era strategies and cognitive approaches to music learning. Publication Trends: Recent works (2021-2023) demonstrate a strong focus on educational adaptations during crises, solfege pedagogy innovations, and sociocultural analyses of Turkish music traditions. Her research consistently integrates quantitative methodologies with pedagogical applications. Supervision & Projects: She has advised 5 graduate students on topics including folk music traditions, musical impacts on child development, and performance studies. She contributed as a consultant to the TÜBİTAK project "Özel Eğitimde Hareket-Oyun-Ritim Esaslı Uygulamaların Çocukların Sözel ve Müzikal İfade Gelişimine Etkileri" (2023). Professional Development: Maintains active involvement in artistic performances (15 events) and holds certifications in SPSS analysis, academic publishing strategies, and creative drama instruction.
Alex Eskin is the Arthur Holly Compton Distinguished Service Professor of Mathematics at the University of Chicago's Department of Mathematics, within the Physical Sciences Division. His research focuses on dynamical systems, geometric group theory, ergodic theory, and their applications to number theory. Eskin holds a B.S. from UCLA and a Ph.D. from Princeton University (1993), advised by Peter Sarnak. Key research interests include Teichmüller dynamics, billiards on rational polygons, and the geometry of moduli spaces. He has made seminal contributions to understanding SL(2,R) actions on moduli spaces, Lyapunov exponents, and the classification of invariant measures. His work bridges dynamics, geometry, and number theory, with profound implications for the study of flat surfaces and homogeneous flows. Eskin has received numerous accolades, including the Breakthrough Prize in Mathematics (2019), Clay Research Award (2007), and membership in the National Academy of Sciences (2015). He has authored over 60 papers, advancing topics like counting closed geodesics in moduli spaces, volumes of strata of abelian differentials, and the rigidity of quasi-isometries in solvable groups. Notable achievements include proving the 'Magic Wand Theorem' with Mirzakhani and Mohammadi, resolving the classification of orbit closures for SL(2,R) actions, and advancing the understanding of Lyapunov exponents via algebraic geometry. His teaching includes courses like Math 203 (Analysis) at the University of Chicago.
Antonio Linero Bas is an Associate Professor in the Department of Mathematics at the University of Murcia, affiliated with the Faculty of Mathematics. He holds a Doctorate from the same institution (1998), focusing on topological dynamics in bidimensional systems and invariant measures in unidimensional systems under the supervision of Francisco Balibrea Gallego. His research focuses on dynamical systems, difference equations, and mathematical analysis, with contributions to topics like chaotic synchronization, periodic structures, and topological dynamics. He has co-authored over 50 publications in journals such as Journal of Difference Equations and Applications and International Journal of Bifurcation and Chaos . Key research interests include dynamical systems (37XX MSC), difference equations (39XX), general topology (54XX), and real functions (26XX). His work explores periodicity in discrete systems, bifurcations, and applications to nonlinear dynamics. Linero Bas has collaborated with researchers like Jose S. Cánovas and Gabriel Soler López on topics like Parrondo’s paradox and coupled lattice maps. His recent studies address global periodicity, max-type equations, and minimal interval exchange transformations with flips.
