Jörg Freiling is a Professor at the University of Bremen, affiliated with the Faculty of Economics and the SCOUT Institute for Strategic Competence Management. His research focuses on strategic competence management, entrepreneurship theory, SME management, business start-ups, strategic management, and service management. He leads the LEMEX Chair for Small Business, Entrepreneurship, and Start-up Management. His research explores theoretical and practical aspects of competence-based strategies in dynamic business environments. Key themes include resource orchestration, internationalization processes, service innovation, and entrepreneurial marketing. His work integrates evolutionary economics, systems dynamics, and network theory to analyze competitive advantage. Freiling's publications (2002-2006) predominantly address competence-based management frameworks, international business strategies, and service innovation. Recent articles emphasize empirical validation of theoretical models, cross-border expansion challenges, and dynamic capabilities in SMEs. He directs the LEMEX research group, focusing on entrepreneurial processes and SME competitiveness. No awards or grants are documented in this text.
Jürgen Moormann is a Professor of Bank and Process Management at Frankfurt School of Finance & Management since 1995. He founded ProcessLab (2005-2022), a research center focused on process management in financial services, and held the Concardis Endowed Professorship (2014-2018). As a Visiting Professor, he has taught at University of Colorado, University of New South Wales, Queensland University of Technology, and University of Hong Kong. Business Administration (Kiel & Zurich, 1980-1985) PhD (Dr. sc. pol.) from University of Kiel His research spans business process management in financial institutions, digital transformation , and agile organizational design . He explores how banks can become technology companies , the impact of blockchain on financial business models, and Lean Six Sigma applications in banking. Recent work addresses burnout prevention through process design and platform economy strategies for financial institutions. Article trends show expertise in process optimization (45%), digital innovation (30%), and organizational adaptation (25%). Key subtopics include customer-centric banking , blockchain governance , AI integration , and healthcare process reforms . His work combines empirical studies with theoretical frameworks to bridge academic research and industry practice . Moormann contributes to journals as Associate Editor of Knowledge Management & E-Learning and participates in academic councils including the BPM Association and German Informatics Society. He co-authored Process Management and Burnout Prevention (2024) and edited 12 publications on financial technology.
Prof. Dr. Susanne Lilian Gössl, LL.M. (Tulane) serves as Director of the Institute for International Private Law and Comparative Law at Christian-Albrechts-Universität zu Kiel, where she holds the Chair for German, Foreign and International Private Law and the Law of Digitalization. Her extensive professional affiliations include membership in the Scientific Council of the European Association of Private International Law (EAPIL), the German Council for International Private Law, and the Commission on Reproductive Self-Determination and Reproductive Medicine of multiple German federal ministries. She also serves as an expert for the European Commission's Expert Group on Recognition of Parenthood between Member States and is a member of the KI Expert Council of Schleswig-Holstein. Prof. Gössl's academic journey includes law studies at Universität zu Köln and Università degli Studi di Napoli Federico II (2003-2008), an LL.M. from Tulane University Law School (2009/2010), doctoral studies at Universität zu Köln (2013), and habilitation at Rheinische Friedrich-Wilhelms-Universität Bonn (2020). She completed her legal clerkship in Hamburg (2011-2014) and served as a guest professor at Ghent University during the 2018/2019 academic year as holder of the Marcel Storme Chair. Her research focuses on the intersection of traditional legal frameworks with contemporary challenges, particularly in international private law and the law of digitalization. Prof. Gössl has made groundbreaking contributions to gender recognition law, notably through her influential analysis of the German Federal Constitutional Court's decision on non-binary gender registration. Her work consistently addresses how legal systems navigate digital transformation, cross-border family relations, and evolving concepts of identity. She examines the legal implications of virtual assets, digital inheritance, and online dispute resolution within international legal frameworks, bridging theoretical analysis with practical implications for international legal cooperation. Prof. Gössl's publication record demonstrates a clear trajectory toward addressing emerging legal challenges at the intersection of technology, human rights, and international legal cooperation. Her recent scholarship shows increasing focus on digital legal issues, gender recognition across borders, and the adaptation of private international law to contemporary social realities. She publishes in leading journals across multiple languages, reflecting the international nature of her research and influence. Member of the Scientific Council of EAPIL Member of the German Council for International Private Law Member of the Commission on Reproductive Self-Determination and Reproductive Medicine Expert for the European Commission's Expert Group on Recognition of Parenthood Editor of IPR-Blog Conflictoflaws.net Member of the KI Expert Council Schleswig-Holstein Prof. Gössl actively contributes to legal policy development through expert testimony before the German Bundestag and government-commissioned research. She has provided expert opinions on legislative proposals concerning out-of-court dispute resolution in consumer matters and contributed to a report for the Dutch government on non-binary gender options. Her leadership extends to directing the Institute for International Private Law and Comparative Law at Kiel University, where she fosters interdisciplinary research connecting legal scholarship with technological innovation and social change. As Director of the Institute for International Private Law and Comparative Law, Prof. Gössl leads a research team focused on contemporary challenges in cross-border legal relations. Her institute serves as a hub for international collaboration, connecting scholars from across Europe and beyond. The institute's work particularly emphasizes the intersection of traditional legal frameworks with digital transformation and evolving concepts of identity, positioning it at the forefront of legal scholarship in the digital age.
Maike Buchin is a Professor of Theoretical Computer Science / Algorithmics at the Faculty of Computer Science, Ruhr-University Bochum, where she has been serving since 2019. She also holds the position of Studiendekanin Informatik (Dean of Studies for Computer Science). Prior to her current position, she was a Visiting Professor at Technical University Dortmund (2017-2019) and a Juniorprofessor at Ruhr University Bochum (2013-2017). Dr. Buchin's research focuses on computational geometry, algorithms, and trajectory analysis. Her work particularly emphasizes Frechet distance computations, curve matching, and geometric algorithms. She has made significant contributions to understanding the computational complexity of geometric problems and developing efficient algorithms for trajectory data analysis. Her research has applications in geographic information systems, movement pattern analysis, and shape comparison. Analysis of her recent publications reveals a strong focus on clustering algorithms for polygonal curves, Frechet distance computations, and trajectory analysis. Her work bridges theoretical computer science with practical applications in GIS and movement data analysis. She has developed approximation algorithms, coreset constructions, and efficient query processing techniques for geometric problems. Her research has been published in top-tier venues including ACM Transactions on Algorithms, Computational Geometry: Theory and Applications, and proceedings of major conferences like Symposium on Computational Geometry (SoCG) and European Symposium on Algorithms (ESA). Dr. Buchin has supervised numerous students and taught courses including Algorithm Paradigms, Computer Science 2 - Algorithms and Data Structures, Computer Science 3 - Theoretical Computer Science, Geometric Algorithms, Data Structures, and seminars on Cryptology and Theoretical Computer Science. She leads research in the Theoretical Computer Science / Algorithmics group at Ruhr-University Bochum, collaborating with researchers worldwide on computational geometry problems and their applications.
Frank Leymann is a Professor at the Institute for Architecture of Application Systems, University of Stuttgart. His research spans quantum computing, cloud systems, middleware, and business process management. Affiliation: University of Stuttgart, Institute for Architecture of Application Systems Key Projects: PlanQK, EniQmA, OpenTOSCA, SeQuenC Academic Recognition: Over 30 years of publications in service computing and quantum technologies Research Interests: His work focuses on quantum software engineering , hybrid quantum-classical systems , and cloud application architectures . Notable contributions include TOSCA standardization for cloud deployment and systematic studies on quantum optimization. Recent Publications: 2025-2024 articles emphasize quantum algorithm expressivity , cross-chain blockchain transactions , and post-quantum security . Earlier works (2023-2021) address quantum workflow provenance , QAOA optimization , and IoT platform architectures . Technical Leadership: Director of a multidisciplinary team developing frameworks like OpenTOSCA and tools for quantum application deployment.
Thomas Wendler is a Professor at the Chair of Computer Aided Medical Procedures & Augmented Reality at Technische Universität München (TUM). His research focuses on the intersection of Artificial Intelligence, Medical Imaging, and Robotics, with specific interests in Longitudinal Image Analysis, Image-Guided Interventions, and Dosimetry for Radioisotope Therapy. Current affiliation: TUM Institute of Informatics Former leadership: Director of the Interdisciplinary Research Lab (IFL) Research Interests: Thomas Wendler's work bridges Artificial Intelligence Applications in Medicine with Robotic Imaging , emphasizing Longitudinal Image Analysis for disease progression and Image-Guided Interventions in clinical settings. His technical expertise includes Dosimetry for nuclear medicine and 3D Computer Vision for surgical applications. Teaching: He actively contributes to TUM's curriculum through lectures and practical courses such as: Computer Aided Medical Procedures I Medical Augmented Reality Introduction to Surgical Robotics Foundations in 3D Computer Vision Collaborations: Wendler collaborates with Prof. Nassir Navab and researchers like Mohammad Farid Azampour, Francesca De Benetti, and Zhongliang Jiang. His work has been published in journals including IEEE Transactions on Medical Imaging and Medical Image Analysis , with recent advancements in robotic ultrasound navigation and catheter tracking methodologies.
Dirk Müller is a Professor of Software Technology/Operating Systems at the Faculty of Computer Science/Mathematics, Dresden University of Applied Sciences (HTW Dresden). He has been in this position since 2016 and is an active member of the Faculty Council since June 2021. He was awarded IEEE Senior Member status in April 2023. His academic journey includes a doctorate in Engineering from the University of Kassel in 2006, habilitation at Chemnitz University of Technology in 2014, and prior research positions at Philipps University of Marburg and Florida State University. 1995-2002: Studies in Medical Informatics at University of Leipzig 2003-2006: Research Assistant/Doctoral Student at University of Kassel 2006-2008: Research Associate at Philipps University of Marburg 2008-2014: Academic Councillor at Chemnitz University of Technology 2014-2016: Private Lecturer at TU Chemnitz 2016-present: Professor at HTW Dresden Professor Müller's research focuses on real-time systems and scheduling, model-driven software development, digitalization in companies and administration, and the concept of information. His work particularly emphasizes Rust language applications in software engineering. He has published extensively on real-time scheduling algorithms, mixed-criticality systems, and embedded systems. His teaching responsibilities include Operating Systems I, Software Engineering I & II, Model-Driven Software Development, and Programming in Rust. His publication record shows a consistent focus on real-time systems, with a clear progression from theoretical scheduling algorithms to practical implementations. His recent work has expanded into public administration digitization and biometric conference systems, while maintaining his core expertise in scheduling theory. The publications demonstrate strong international collaboration, particularly with researchers like Matthias Werner, Alejandro Masrur, and Robert Baumgartl. IEEE Senior Member (2023) Erdős number: max. 4 Strict Erdős number: max. 5 Professor Müller actively supervises student theses, with over a dozen bachelor's and diploma theses completed between 2023-2025. His students work on diverse topics including Rust programming, workflow automation, user experience optimization, and real-time event processing. He serves as a reviewer for multiple prestigious journals including IEEE Transactions on Parallel and Distributed Systems, Real-Time Systems, and The Computer Journal. He also acts as Senior Editor for Computer Science Books at Versita. His laboratory work focuses on practical implementations of real-time systems, often using Raspberry Pi as a platform for traffic analysis and other embedded applications. His research group maintains strong connections with industry, as evidenced by the applied nature of student projects at companies like IntraConnect GmbH.
Lena Maier-Hein serves as one of Helmholtz Imaging's center coordinators at the German Cancer Research Center (DKFZ), head of the Intelligent Medical Systems division, managing director of the Data Science and Digital Oncology cross-topic program, and is a full professor at Heidelberg University. She also holds the position of managing director at the National Center for Tumor Diseases (NCT) Heidelberg. Her research focuses on machine learning-based biomedical image analysis with specific emphasis on surgical data science, computational biophotonics, and validation of machine learning algorithms. As a fellow of both the Medical Image Computing and Computer Assisted Intervention (MICCAI) society and the European Laboratory for Learning and Intelligent Systems (ELLIS), she leads significant initiatives including presidency of the MICCAI special interest group on challenges and chairing the international surgical data science initiative. Her publication portfolio demonstrates strong focus on algorithm validation, surgical data science, and medical imaging AI, with recent work addressing critical issues in reproducibility, bias in medical AI, and practical clinical implementation. The articles reveal consistent themes around establishing rigorous validation frameworks, developing practical surgical AI tools, and addressing real-world deployment challenges in medical imaging. Her notable scientific recognition includes: 2013 Heinz Maier Leibnitz Award of the German Research Foundation (DFG) 2017/18 Berlin-Brandenburg Academy Prize European Research Council (ERC) starting grant (2015-2020) ERC consolidator grant (2021-2026) She serves on the editorial boards of prestigious journals including Nature Scientific Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Medical Image Analysis, demonstrating her leadership in establishing standards for medical imaging research. Her work bridges fundamental AI research with practical clinical applications, particularly in surgical settings where real-time decision support is critical.
Professor Ute Schmid is a Full Professor of Cognitive Systems at the University of Bamberg, where she has been a faculty member since September 2004. She leads the Cognitive Systems Group within the Bamberg Center of AI (BaCAI), focusing on creating AI systems that generate human-like explanations and reasoning processes. Her research bridges cognitive science and artificial intelligence to develop methods for explanation generation, inductive programming, and interactive machine learning. Professor Schmid's work emphasizes practical applications of explainable AI across diverse domains including image classification, medical diagnosis, and educational technologies. Her research on contrastive explanations, near misses, and human-AI alignment has significantly advanced the field of XAI. She has also pioneered research on AI literacy, recognizing the growing importance of basic AI understanding for responsible tool usage by non-experts. Her publication record demonstrates exceptional productivity and impact, with numerous articles in top-tier venues including Nature Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics, and the Journal of Web Semantics. Her 2025 paper 'Aligning generalization between humans and machines' represents a significant theoretical contribution to understanding human-machine cognitive alignment. Professor Schmid actively contributes to gender diversity research in computer science through studies examining why women pursue PhDs in the field. She has also made important contributions to computing education, investigating how students acquire programming skills and how AI tools like code generators are integrated into learning processes. As an educator and researcher, Professor Schmid maintains strong international collaborations, with co-authors spanning multiple countries and institutions. Her interdisciplinary approach is evident in her diverse publication venues and collaborative work that bridges computer science, cognitive science, education, and application domains.
Professor Dirk J. Lehmann is a Professor of Data Science in IoT at Ostfalia University of Applied Sciences, Faculty of Computer Science, where he has been employed since May 2022. He holds significant leadership roles including Deputy Head of the Institute for Information Engineering (since 2024), Research Officer of the Faculty of Computer Science (since 2023), and membership in multiple committees including the Admissions Committee for Digital Technologies and the Digital Technologies Examination Board. Professor Lehmann's extensive academic journey includes: Part-time professorship in Data Science in IoT at Ostfalia University (2020-2022) Senior Specialist for Digitalization, AI, and Visual Analysis at IAV GmbH (2018-2023) Assistant Professor of Visual Data Analysis at Nazarbayev University, Kazakhstan (2017) Visiting professorships at TU Graz, Austria and Universidad Rey Juan Carlos, Spain (2016-2017) Researcher at Otto-von-Guericke University Magdeburg (2009-2017) His research expertise centers on Visual Analytics and Data Science, with particular emphasis on high-dimensional data visualization, categorical data analysis, and IoT applications. Professor Lehmann leads the Data Science in IoT working group, conducting research across three main areas: visual data analysis, distributed data analysis using AI methods, and applied data analysis in geology, climate data, medicine, and industrial processes. His methodological contributions include innovative visualization techniques for complex datasets across multiple domains. Analysis of Professor Lehmann's 15 most recent publications (2017-2025) reveals a consistent focus on advancing visualization techniques for complex data analysis. His work spans categorical data visualization (CatNetVis), biological data analysis (D. Melanogaster research), optimization of star coordinate systems, and interactive exploration methods for large datasets. These publications appear in top venues including IEEE Transactions on Visualization and Computer Graphics and EuroVis, demonstrating both theoretical rigor and practical application across diverse domains from healthcare to environmental science. As an educator, Professor Lehmann teaches a comprehensive range of courses from foundational mathematics to advanced machine learning and visualization techniques. He actively supervises student projects and theses, emphasizing clear project definitions with measurable acceptance criteria. His international collaborations span institutions in Israel, Saudi Arabia, China, Austria, and Spain, reflecting a global research perspective that bridges academic theory with industry applications, particularly through his previous role at IAV GmbH, a Volkswagen subsidiary.
Stefan Lessmann is a Professor of Information Systems at the School of Business and Economics, Humboldt-University of Berlin. He completed his habilitation in predictive analytics (2012) and has served as a guest lecturer at the University of Southampton's School of Management since 2008. His academic journey began with a diploma (2002) and PhD (2007) in business administration from the University of Hamburg. Research interests: Stefan focuses on empirical prediction models to support managerial decision-making, particularly in finance, marketing, and risk management. His work spans Deep learning architectures Credit risk modeling Uplift modeling Time series forecasting Big data analytics Sentiment analysis Professional activities: He has led corporate research projects with organizations like DMC GmbH and Star Financial Systems Ltd., addressing challenges in marketing ROI, cryptocurrency forecasting, and financial risk modeling. Stefan serves as Associate Editor for Business Information Systems Engineering and has peer-reviewed for journals like European Journal of Operational Research and IEEE Transactions on Software Engineering .
Radu Calinescu is Professor of Computer Science at the University of York, UK, where he serves as Principal Investigator for the UKRI Trustworthy Autonomous Systems Node in Resilience and leads the Trustworthy Adaptive and Autonomous Systems and Processes (TASP) Research Team. His academic career includes previous positions as Lecturer in Computer Science at Aston University (2009-2012), Senior Researcher at the University of Oxford (2008-2009), and part-time Lecturer at Oxford (2005-2009). Professor Calinescu's research focuses on formal modelling, analysis, verification and controller synthesis for autonomous and self-adaptive systems, with particular emphasis on parametric and probabilistic model checking, automated and model-driven software engineering. His work applies these approaches to robotic, cyber-physical, embedded and service-based systems, with a strong commitment to using formal methods at runtime to enhance the resilience and safety of critical autonomous systems. His extensive publication record spans top-tier journals including IEEE Transactions on Software Engineering, Journal of Systems and Software, and Automated Software Engineering. His research demonstrates consistent focus on verification techniques for adaptive systems, with increasing attention to safety-critical applications in recent years. His work bridges theoretical formal methods with practical applications in robotics and autonomous systems. British Computer Society Distinguished Dissertation Award for his DPhil thesis on Autonomic-Independent Loop Parallelisation Principal Investigator for multiple major projects including Continual Verification and Assurance of Robotic Systems under Uncertainty (ORCA Hub/EPSRC), Safety of AI Techniques (AAIP/Lloyd's Register Foundation), and CSI:Cobot Program Committee Co-Chair for major conferences including SEFM 2021, SEAMS 2020, and SERENE 2019 Professor Calinescu actively supervises numerous PhD students and postdoctoral researchers, with current team members including Faisal Alhwikem, Xinwei Fang, Mario Gleirscher, James Harbin, and Colin Paterson. His research group is based at the Ron Cooke Hub in York, a purpose-built facility housing world-class research groups and startups. His former students have gone on to academic positions at institutions worldwide and industry roles at major technology companies.
Mohammad Hamdaqa is an Associate Professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal (Canada), where he leads the Software and Emerging Technologies Lab. He received his PhD in Software Engineering from the University of Waterloo in Canada in 2016 and holds multiple advanced degrees including a Master of Applied Science in Software Engineering and an MBA with a minor in Management Information Systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Waterloo, Canada Master in Electrical and Computer Engineering, Concordia University, Canada Master in Business Administration, New York Institute of Technology, USA Bachelor in Computer Engineering, Jordan University of Science and Technology, Jordan Dr. Hamdaqa's research focuses on the intersection of software engineering and emerging technologies. His work explores how software engineering approaches can be tailored to address the complexities of architecting, building, and deploying applications for new platforms like Cloud Computing and Blockchain. He is particularly interested in how emerging technologies can advance software creation, evolution, and management practices. His research spans model-driven software engineering, cloud computing, blockchain, and the application of AI in software development processes. His recent publications demonstrate a strong focus on smart contract security, infrastructure as code, model-driven engineering, and the application of large language models in software engineering tasks. His work bridges theoretical software engineering concepts with practical applications in cutting-edge technology domains, with particular emphasis on addressing security, sustainability, and maintainability challenges in next-generation software systems. Dr. Hamdaqa has received recognition through service on program committees for major software engineering conferences including ASE, ICSE, MODELS, and SANER. He serves on the editorial board of Service Transactions on Internet of Things and is a Member of the IEEE Computer Society and the Association for Computing Machinery. He has supervised multiple Master's students to completion, with recent theses focusing on OCL generation, smart contract auditing, epidemiological modeling, and infrastructure as code security. His current research group continues to explore innovative approaches at the intersection of software engineering and emerging technologies. Dr. Hamdaqa leads the Software and Emerging Technologies Lab at Polytechnique Montréal, which brings together researchers and students to investigate cutting-edge challenges in software engineering for new technology platforms. The lab focuses on practical solutions that balance theoretical rigor with real-world applicability.
PD Dr. Klaus Geiselhart is an academic researcher and lecturer at the Department of Geography and Geosciences, Institute of Geography, Friedrich-Alexander University Erlangen-Nuremberg (FAU). With a strong background in human geography, social theory, and health studies, he has developed a distinctive research profile bridging critical theory, pragmatism, and practice theory. His academic journey includes extensive fieldwork in Botswana on HIV/AIDS and traditional medicine, as well as more recent work on urban health, climate change, and environmental justice in German cities. Dr. Geiselhart's research interests span planetary health and global change, geographies of health and healing, transformative and participatory research, social geography and democratic theory, and urban geography. His theoretical work on 'Kritik als Mediation' (Critique as Mediation) represents a significant contribution to critical social theory, arguing that critique should function as a mediating force between different perspectives rather than merely as opposition. This theoretical framework informs his practical research on environmental justice, urban health, and climate adaptation. His publication record demonstrates consistent scholarly output across multiple disciplines, with recent work focusing on planetary health, environmental microsegregation in urban contexts, and the political ecology of health. The articles show a clear trajectory from earlier work on HIV/AIDS and traditional medicine in Botswana toward contemporary concerns with climate change, urban sustainability, and health equity in European contexts. His research increasingly connects local urban issues with global planetary challenges, reflecting the growing importance of planetary health as an integrative framework. Member of GHHG (Global Health Hub Germany) - Working Group on Climate Change and Health Member of Arbeitskreis Klimakrise & gesellschaftliche Transformation (German Society for Geography) Member of Arbeitskreis Medizinische Geographie und Geographische Gesundheitsforschung Co-leader of DFG-funded network: 'Forschungsperspektiven nach dem practice turn' Dr. Geiselhart actively engages with societal challenges through applied research projects, including evaluating citizen participation processes related to climate action in Erlangen and developing concepts for measuring environmental justice in urban settings. His work demonstrates strong connections between theoretical innovation and practical application, particularly in the areas of health promotion, urban planning, and climate adaptation. He offers lectures and workshops on planetary health, responsibility in the climate crisis, and diversity, indicating his commitment to translating academic knowledge into practical insights for broader audiences.
Monique Meuschke serves as a Privatdozent (equivalent to Associate Professor) at the Institute of Simulation and Graphics, Otto-von-Guericke University Magdeburg, where she leads pioneering research at the intersection of medical visualization and narrative storytelling. Her work transforms complex clinical data—particularly hemodynamic patterns in cerebral aneurysms—into accessible visual narratives for diverse audiences ranging from neurosurgeons to patients and the general public. Her research program centers on three interconnected pillars: Medical Visualization Fundamentals : Developing novel techniques for blood flow analysis, aneurysm characterization, and vascular structure representation through systems like Aneulysis and COMFIS Narrative Storytelling Frameworks : Creating structured methodologies for 'disease stories' that communicate pathological processes through visual narratives, including AI-generated characters and virtual reality experiences Public Health Translation : Bridging clinical data with community health literacy through projects like Raccoon for risk communicators and visual disease stories for epidemiological data Meuschke's publication trajectory reveals accelerating impact since 2020, with 18 first-author/co-author papers in 2024-2025 alone spanning top venues including IEEE Transactions on Visualization and Computer Graphics, Medical Image Analysis, and Eurographics workshops. Her work demonstrates consistent focus on making medical data both scientifically rigorous and humanly comprehensible, with recent innovations in AI-assisted narrative generation and real-world validation through platforms like YouTube comment analysis. She maintains active collaboration within Otto-von-Guericke University's visualization ecosystem while extending impact through clinical partnerships and public health initiatives. Her research directly addresses critical gaps in medical communication—from surgical planning support to population-level health literacy—through technically sophisticated yet accessible visual solutions.
