Bjørnar Gullikstad Hem is a Researcher in the Laboratory for Topology and Neuroscience at École Polytechnique Fédérale de Lausanne (EPFL) . He is also a doctoral student in the Doctoral Program in Mathematics , affiliated with EPFL's School of Life Sciences (SV) and School of Basic Sciences (SB) . University: École Polytechnique Fédérale de Lausanne (EPFL) School: School of Life Sciences (SV) Department: Brain Mind Institute (BMI) Hem specializes in the theoretical foundations of topological data analysis (TDA) , with broader interests in algebra, topology, and category theory. His work bridges abstract mathematical concepts with practical applications in data science and computational fields. Recent publications highlight advances in discrete Morse theory and functor cocalculus . His research designs algorithms for computing Hom posets in discrete flow categories and explores the collapse of spectral sequences for topological data analysis. He also investigates stability in multipersistence modules and connections between Vietoris-Rips/Čech filtrations and cocalculus frameworks. Contact: Email: bjornar.hem@epfl.ch Office: MA B3 435, EPFL
Davide Gaiotto serves as an Adjunct Assistant Professor in the Department of Physics & Astronomy within the Faculty of Science at McMaster University. His extensive scholarly activity spans over two decades with numerous publications in high-impact theoretical physics journals. His research focuses on the deep connections between quantum field theory, string theory, and advanced mathematical structures. Key areas include supersymmetric gauge theories (particularly N=2 and N=4), geometric Langlands program, holography, vertex operator algebras, and topological aspects of quantum field theories. His work often reveals profound mathematical structures underlying physical phenomena, bridging theoretical physics with pure mathematics. Analysis of his recent publications (2023-2025) shows continued exploration of quantum analytic Langlands correspondence, twisted holography, and the interplay between gauge theories and mathematical structures. His work demonstrates remarkable consistency in addressing fundamental questions at the physics-mathematics interface while maintaining technical rigor. Gaiotto has received significant scholarly attention with publications referenced across multiple platforms including Wikipedia pages, academic social networks, and research databases. His work shows strong interdisciplinary impact across theoretical physics and mathematics. His scholarly network includes collaborations across the theoretical physics community, with publications showing connections to leading researchers in mathematical physics and string theory. While specific grant information isn't provided in the text, the volume and quality of publications suggest sustained research support.
Dr. Omar Abou Hamdan is a Senior Lecturer in Leadership and Management at Oxford Brookes Business School, Oxford Brookes University. With a PhD in Management and Leadership from the University of Huddersfield UK, an MBA from the Lebanese American University, and a BSc in Medical Laboratory Sciences from the American University of Beirut, he brings a diverse academic background to his teaching and research. PhD in Management and Leadership - University of Huddersfield UK MBA - Lebanese American University BSc in Medical Laboratory Sciences - American University of Beirut Abou Hamdan's research focuses on the power of discourse to shape group phenomena such as leadership and learning, as well as social categories and identities, particularly in political and cultural contexts. His work spans organizational change, workplace dynamics, team development in higher education, and mentoring relationships. His recent publications demonstrate expertise in leadership cultivation within research teams, HRM formalization in SMEs, crisis management in hospitality, and mentoring dynamics. His scholarly output reveals a strong trend toward practical applications of leadership and management theory in real-world contexts, particularly focusing on organizational behavior within SMEs and academic research environments. The publications show consistent engagement with both theoretical frameworks and empirical research across business disciplines. Fellow of the Higher Education Academy (FHEA) PGCHE (Postgraduate Certificate in Higher Education) Abou Hamdan has extensive teaching experience across undergraduate and postgraduate programs, supervising Doctor of Coaching and Mentoring (DCM) candidates and teaching modules including Strategic Business Simulation, Business Strategy for Competitive Advantage, and Research Methods. His teaching portfolio spans HR, Strategic Management, Leadership, Research Methods, and Organizational Behavior. Beyond academia, he is a certified Futsal Coach, demonstrating commitment to enhancing students' educational and professional experiences through diverse engagement.
Christopher Donnelly is an Assistant Professor in Anesthesiology, Pharmacology and Cancer Biology, and Neurobiology at Duke University School of Medicine. He is a member of the Duke Cancer Institute and the Duke Institute for Brain Sciences, with a research focus on neuroimmunology and applied pain research. D.D.S., University of Michigan, Ann Arbor (2018) Ph.D., University of Michigan, Ann Arbor (2018) Postdoctoral Training, Duke University (2018-2020) His multidisciplinary research program explores the bidirectional relationship between pain and inflammation, emphasizing molecular crosstalk between sensory neurons and immune cells, glial cells, cancer cells, and microorganisms. Key projects include understanding neuroimmune mechanisms in bone cancer pain, temporomandibular joint disorders, and neuropathic pain, with techniques ranging from conditional genetics to single-cell transcriptomics. Recent publications highlight roles of the STING pathway in pain modulation, PD-1/PD-L1 checkpoint in neuronal excitability, and Toll-like receptors in inflammatory pain. His grants include NIH awards for neuroimmune pain research, adrenergic antagonist development, and TMJ neural architecture studies. Hatton Award, Post-doctoral Category - 1st Place, AADOCR (2020) Hatton Award, Post-doctoral Category - 1st Place, IADR (2020) Dr. Donnelly serves as an Adjunct Clinical Assistant Professor at the University of Michigan, directing a neuroscience course for dental students. His lab team includes postdoctoral associates, technicians, and graduate students.
Prof. Nina Kazanina is a faculty member in the Department of Basic Neurosciences at the University of Geneva’s Faculty of Medicine. She co-directs the NCCR Evolving Language and previously served as an Associate Professor in Psychology and Cognitive Neuroscience of Language at the University of Bristol’s School of Psychological Science. Research focuses on the neural mechanisms underlying language, memory, and cognitive domains Lab employs EEG, MEG, fMRI, and behavioral methods Translational work targets language assessment in neurodegeneration and stroke Recent work explores grammatical abstraction in language models, neural oscillations in syntax, and reward-modulated memory. Her lab investigates how the brain encodes linguistic categories and hierarchical structures, bridging neuroscience and theoretical linguistics. Key translational applications include cognitive assessment across the lifespan. Lab members include postdocs (Theo Desbordes, Berk Gercek, Mamady Nabe, Itsaso Olasagasti) and PhD student Katarina Labancova. Contact: nina.kazanina@unige.ch
Slava Rychkov is a Permanent Professor at the Institut des Hautes Études Scientifiques (IHES) since 2017, with a part-time affiliation at École Normale Supérieure (ENS) in Paris. He is Deputy Director of the Simons Collaboration on Nonperturbative Bootstrapping and holds the Jacques Solvay International Chair in Physics (2025) . Ph.D., Princeton University (2002) Junior Member, University Institute of France (2012-2017) Research Interests: He works on strongly coupled quantum and conformal field theories , including applications to high-energy physics, statistical physics, and condensed matter. His major contributions include: Linking Deligne categories to lattice loop symmetries Developing analytic continuation methods for Euclidean CFT to Lorentzian spacetime Advancing the conformal bootstrap for non-perturbative solutions Exploring Parisi-Sourlas supersymmetry in disordered systems Proving lightcone bootstrap predictions rigorously Connecting complex CFTs to walking RG flows Scientific Awards: New Horizons in Physics Prize (2014) Grand Prix Mergier-Bourdeix (2019) Jacques Solvay International Chair in Physics (2025) Advising: Mentored numerous Ph.D. students including Jiaxin Qiao (EPFL postdoc), Bernardo Zan (now at Università di Genova), and Benoit Sirois (Québec classe préparatoire). Articles Trends: His recent work spans gauge theory bootstrap , logarithmic CFTs , minimal surfaces in AdS , and geometrical approaches to Potts models , with a focus on mathematical rigor and cross-disciplinary applications between high-energy and condensed matter physics.
FANG Liang is a Researcher at the Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology . Previously, he worked as a Postdoctoral Fellow at the Max Delbrück Center for Molecular Medicine and as a Research Assistant at Charité-Universitätsmedizin, University of Berlin . Education : Ph.D. in Cell Biology, Humboldt University of Berlin (2013) M.Sc. in Pharmacology, Zhejiang University (2007) B.Sc. in Pharmaceutical Sciences & Biotechnology, Zhejiang University (2005) His research focuses on organoid culture platforms for tumor modeling , studying Wnt/beta-catenin signaling in cancer stem cells , and developing CRISPR-based genomic screening tools for RNA regulation. His work bridges single-cell sequencing and epigenetic biomarker discovery in tumor diagnostics. Recent publications emphasize organoid-based tumor evolution studies , CRISPR screening for RNA modifications , and cross-tissue molecular analysis . Awards include recognition as a Shenzhen Overseas High-Level 'Category C' Talent (Peacock Plan). Collaborations span institutions in Germany and China, with lab facilities in Huiyuan Building 4, 3rd floor . Contact: fangl@sustech.edu.cn | Phone : 13823288350
Dr. Giulia Fantini is a Lecturer in Finance and Accounting at the School of Management, Swansea University, where she joined in January 2015. She holds a prestigious Fellowship from the Higher Education Academy (since 2019) and serves in key leadership roles including Chair of the Examinations Scrutiny Committee (since July 2018) and the University's Academic Integrity Cases Officer (since April 2023). Dr. Fantini earned her European PhD in Economics in April 2014 from the University of Ferrara, Italy, in conjunction with Bayes (formerly Cass Business School), London, United Kingdom. Prior to her academic career, she gained over 5 years of industry experience as a Chartered Accountant and qualified Auditor in Italy and Luxembourg. Her research expertise spans executive remuneration, corporate disclosures, corporate governance, SMEs, climate change in finance and accounting, and Environmental, Social and Governance (ESG) categories. Dr. Fantini is particularly interested in the intersection of corporate leadership and ESG transformation, utilizing big data and AI/Machine Learning approaches in her research. Her work bridges theoretical frameworks with practical applications in financial reporting and management. Analysis of Dr. Fantini's recent publications reveals a strong focus on ESG integration in financial decision-making, corporate governance structures, and the application of advanced analytical methods to traditional finance problems. Her work increasingly addresses the challenges of sustainable finance and climate change adaptation in business contexts. Dr. Fantini has received notable recognition for her research, including: A Fellowship from the Higher Education Academy (2019) A British Academy Leverhulme Small Research Grant for her project "Uncovering the 'unknown unknowns' of managerial alignment in multistakeholder capitalism through machine learning approaches" (2023-2024) UKRI Arts and Humanities Research Council Grant for "CEOs and ESG transformation" (2023) As an active supervisor, Dr. Fantini currently leads three PhD students researching topics including financial sustainability in charitable organizations, gender diversity and sustainability agenda, and CEO risk-taking incentives. She previously supervised a PhD that was awarded in 2022 on "The Importance of the Tone and Readability of Reported Narratives: Evidence from UK FTSE 350 Companies." Her teaching expertise includes designing and delivering modules on Financial Accounting, Sustainable Financial Reporting, and International Financial Management, with a particular emphasis on integrating sustainability principles into accounting education. Dr. Fantini collaborates with researchers across Europe and has participated in Erasmus+ staff mobility programs with Otto-von-Guericke Magdeburg University and the Halle Institute for Economic Research in Germany (2019). Her practical industry experience enriches her academic work, creating valuable connections between theory and real-world financial practice.
Paul Arne Østvær is a Professor in the Department of Mathematics at the University of Oslo, specializing in Algebra, Geometry and Topology. His research primarily focuses on motivic homotopy theory, algebraic topology, and geometric structures. Affiliated with the Geometry and Topology research group, he contributes to advanced mathematical frameworks connecting algebraic geometry with homotopy theory. Østvær's research spans Motivic Homotopy Theory , Algebraic K-Theory , Geometry/Topology , and Homological Algebra . His work explores stable homotopy groups of motivic spheres, étale cohomology, logarithmic structures, and prismatic cohomology, often bridging abstract algebra with topological insights. Key themes include the interplay between algebraic cycles, motivic spectra, and geometric models, with applications to number theory and complex geometry. His recent publications (2020-2025) reveal a concentrated focus on Motivic cohomology and homotopy groups Logarithmic and prismatic cohomology Étale and Bredon cohomology Algebraic cobordism and K-theory Geometric models for suspensions Topological structures in motivic invariants These works consistently integrate advanced techniques from homotopy theory, algebraic geometry, and category theory. Østvær leads the research project Equations in Motivic Homotopy and collaborates extensively with international mathematicians including Tom Bachmann, Oliver Röndigs, and Markus Spitzweck. His advising and grant activities center on theoretical mathematics research, though specific students and funding details are not publicly listed in the provided materials. He maintains an active presence in the Geometry and Topology research group at the University of Oslo, contributing to the department's focus on cutting-edge algebraic and geometric structures through publications, collaborations, and project leadership.
David Speyer is a Professor in the Department of Mathematics at the University of Michigan. He serves as Associate Chair for Education-Logistics and has been a key figure in curriculum development, particularly for Math 632 , Math 593 , and Math 665 . His research bridges algebraic geometry with combinatorial mathematics, focusing on areas such as cluster algebras , tropical geometry , and flag varieties . Education : Ph.D. in Mathematics from the University of California, Berkeley (2005); B.A. from Harvard University. Previous Positions : Clay Research Fellow (2005-2010), with appointments at the University of Michigan and MIT. Research Interests Speyer's work explores the intersection of algebraic geometry and combinatorics. His key contributions include studies on total positivity , shard theory in Coxeter groups , and combinatorial structures in algebraic varieties . Current projects involve cluster deep loci and 3D plabic graphs , connecting mirror symmetry to discrete mathematics. Scientific Contributions Awards : Clay Research Fellow (2005-2007). Publications : 15+ papers on algebraic geometry, combinatorial structures, and total positivity. Advising and Teaching Speyer has advised 9 graduate students and supervised 8 undergraduate research projects . He is involved in high school outreach through programs like PROMYS and Math Corps . He plans to take 2-4 new graduate students in the coming years.
Natalia Aseeva is Dean of the Faculty of Informatics, Mathematics and Computer Science at HSE University – Nizhny Novgorod campus, Head of the Department of Information Systems and Technologies, Associate Professor, and Academic Supervisor of the Software Engineering programmes (full-time and part-time). A member of the HSE Academic Council, she has been with the university since 2003. Education 2007 – Candidate of Sciences (PhD equivalent) in Fluid, Gas and Plasma Mechanics, Nizhny Novgorod Technical University 2001 – Candidate of Sciences (first degree), Nizhny Novgorod Technical University Research Interests Dr Aseeva’s research bridges two domains. In applied physics she investigates nonlinear wave dynamics, soliton theory and numerical simulation , publishing on soliton propagation in inhomogeneous dispersive media. In information systems she focuses on business-process modelling, enterprise architectures and IT-business alignment , developing visual modelling techniques and strategic alignment frameworks that are applied to economic clusters and digital-transformation projects. Publication Trends Her 2012-2022 output is split between high-impact physics journals (JETP Letters, Chaos, Physics Letters A) and leading business-informatics venues (Springer series on digital transformation, BIR conference proceedings). Collectively, the work advances both fundamental understanding of soliton dynamics and practical methodologies for diagnosing and correcting IT-business misalignment. Awards & Recognition HSE Young Faculty Support Programme – Category “Future Professoriate” (2009–2010) Teaching & Advising She currently teaches Business Process Modelling and Requirements Management and Information Systems Design to bachelor and master students across HSE Nizhny Novgorod, HSE Graduate School of Business and HSE Faculty of Economics. Student theses under her supervision cover enterprise modelling, IT project evaluation, and automation of administrative regulations. Laboratory & Leadership Roles As Dean she oversees the strategic development of one of HSE’s largest regional faculties; as Department Head she leads the Department of Information Systems and Technologies; and as Programme Academic Supervisor she guides the Software Engineering curricula delivered both on campus and in part-time formats.
Liz Hirshorn is a Professor in the Department of Psychology at the State University of New York at New Paltz, where she directs the Diversity in Language Lab (DiLL). Her research employs behavioral and EEG methodologies to investigate individual differences in skilled reading and cognitive interactions, with particular focus on alternative pathways to literacy that challenge conventional reading models. Her research program centers on psycholinguistics and cognitive neuroscience, specifically examining how skilled reading develops through variable cognitive routes. Key projects include comparing English and Chinese reading processes to identify shared cognitive mechanisms between distinct writing systems, and investigating relationships between reading and face processing to understand lifelong neuroplasticity. Her work has significant implications for understanding struggling readers and developing alternative literacy interventions. Dr. Hirshorn actively advises thesis students in psycholinguistics using behavioral or EEG methodologies, with recent projects exploring music-reading skill relationships and attentional differences in video game players. Her lab emphasizes experimental approaches to cognitive psychology with applications to educational contexts. She maintains an active publication record spanning cognitive neuroscience, psycholinguistics, and reading research, with recent work focusing on holistic word processing, bilingual reading, and neuroplasticity in deaf populations. Her research demonstrates consistent methodological rigor through combined behavioral and neuroimaging approaches.
Arnaud Eteve is a postdoctoral researcher at the Max Planck Institute for Mathematics in Bonn, Germany, specializing in geometric representation theory and the Langlands program. He earned his PhD from a university in Paris under Jean-François Dat. Education PhD in Mathematics, University of Paris (Supervisor: Jean-François Dat) Research Focus Dr. Eteve's work centers on the Langlands program through arithmetic and geometric lenses, with deep investigations into Deligne-Lusztig theory for finite and p-adic Lie groups. His research integrates modular representation theory , Hecke categories , and categorification frameworks, particularly examining geometric Satake correspondences, Bezrukavnikov equivalences, and the cohomology of stacks of shtukas . He employs advanced tools from algebraic geometry and category theory to solve representation-theoretic problems. Publication Trends His recent preprints reveal a cohesive program connecting sheaf theory with representation theory. Key themes include monodromic structures in Hecke categories, Koszul duality for Kac-Moody groups, and foundational work on shtuka stacks. Collaborations with Jens Eberhardt and Cong Xue demonstrate interdisciplinary approaches to Langlands correspondence, emphasizing categorical traces and nearby cycles in geometric contexts. Awards and Recognition No scientific awards or fellowships were documented in the source material. Academic Activities Dr. Eteve currently teaches a specialized course on Deligne-Lusztig theory. No student advising or grant funding details were provided. His research operates within the Max Planck Institute's collaborative mathematical environment, though specific teams or labs weren't specified.
Mikkel Kragh Mathiesen is a Guest Researcher in the Programming Languages and Theory of Computation group at the Department of Computer Science, Faculty of Science, University of Copenhagen. His research focuses on algebraic foundations of programming languages, reversible computation, and database theory, with significant contributions to finitary relational calculus and algebraic query processing. He completed his Ph.D. in Computer Science at the University of Copenhagen in 2023 with the dissertation "The Programming of Algebra". His academic work bridges theoretical computer science and abstract algebra, emphasizing formal methods and computational semantics. Mathiesen's research interests center on applying algebraic structures to programming language design, particularly in reversible systems (Algeo framework) and database query optimization. His work explores category-theoretic approaches to differentiation in functional programming and module-theoretic foundations for relational calculus, demonstrating strong interdisciplinary connections between mathematics and computation. Analysis of his 2020-2025 publications reveals consistent focus on algebraic methods across theoretical domains. Key trends include developing finitary relational calculus for database programming languages, creating algebraic frameworks for reversible computation, and establishing theoretical connections between module theory and query processing. His research shows increasing integration of category theory with programming language semantics, particularly in automatic differentiation and higher-order function systems. No scientific awards were mentioned in the provided information. There is no available information regarding students advised or research grants administered by Mathiesen. His collaborative work primarily involves co-authorship with established researchers in theoretical computer science without indication of independent supervision or grant leadership. He is actively affiliated with the Programming Languages and Theory of Computation research group at the University of Copenhagen's Department of Computer Science, contributing to their focus on foundational aspects of computation and language design through algebraic approaches.
Anna Vioral, Ph.D., MEd, RN, OCN, BMTCN serves as Assistant Professor of Nursing and RN-BSN Program Coordinator at Chatham University's College of Health Sciences since 2015. With 35+ years as an oncology nurse and 20+ years in nursing education, she drives innovation in evidence-based practice and oncology nursing standards across BSN, RN-to-BSN, MSN, and DNP programs through clinical, classroom, and online instruction grounded in constructivist theory. Her educational foundation includes: BS in Nursing, Albright College MS in Nursing Education, Duquesne University Certificate in Distance Education, Penn State University Master of Adult Education, Penn State University Ph.D. in Nursing Education, Indiana University of Pennsylvania Dr. Vioral's research centers on nursing education methodology, hematology/oncology nursing practice, and evidence-based leadership. She pioneers translational approaches to chemotherapy safety standardization and develops specialized training for non-oncology nurses caring for cancer survivors, emphasizing technological integration and equitable learning environments. Her scholarship bridges clinical oncology practice with pedagogical innovation through multidisciplinary collaboration. Recent publications (2021-2023) reveal three dominant trends: pandemic-related moral injury in healthcare workers, scholarly inquiry development among nurse managers, and multidisciplinary implementation of oncology care standards. These works span nursing leadership, palliative care, and chemotherapy safety domains, consistently translating research into clinical practice improvements through evidence-based protocols. Major recognitions include: Top Ten Reviewer Recognition, Journal of Continuing Education in Nursing (2024) Pittsburgh Magazine Excellence in Nursing Awards (Researcher category, 2018 & 2022) REQ Forum Annual Recognition (2018-2024) Oncology Nursing Society Foundation Doctoral Scholarship (2009) Multiple Indiana University Pennsylvania Doctoral Fellowships (2012-2013) As Principal Investigator or co-PI, she has secured significant research funding including a $30,000 Susan G. Komen Foundation grant through ONS and Allegheny Health Network support for oncology patient experience initiatives. Current projects address moral distress during pandemics and mobile-based oncology competency development. She actively mentors nursing students through the RN-BSN program while maintaining clinical certifications (OCN, BMTCN). Dr. Vioral contributes to oncology advancement through leadership roles in AACN, ASCO, ONS, and the Leukemia and Lymphoma Society, driving national standards for chemotherapy safety and cancer survivorship care.
