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Ally KruparView profile

Assistant Professor

• Education in Emergencies
• International Education Development
• Monitoring and Evaluation
• +9 more

Dr. Ally Krupar (she/her) is a faculty member at American University's School of International Service, specializing in education in emergencies, monitoring and evaluation in international development, and lifelong learning in crisis contexts. With over five years of teaching experience, she focuses on applied methodology and international development programming, including teaching PROF-660 Data-Driven Decision Making in Summer 2025. Education: Ph.D. in Lifelong Learning, Adult Education, and Comparative and International Education, Pennsylvania State University M.A. in Interdisciplinary Studies (International Peace and Conflict Resolution, Human Rights Law, Public Anthropology), American University B.A. in Anthropology, Case Western Reserve University Her research centers on the intersection of education, humanitarian response, and wellbeing, particularly in emergency settings. She designs, supports, and evaluates research and development programs aimed at enhancing lifelong learning opportunities and psychosocial wellbeing during crises. Her interdisciplinary approach draws from anthropology, education, and human rights frameworks to inform policy and practice in global development contexts. While no publications are listed in the provided text, her academic and professional focus suggests strong engagement with data-driven decision-making, program evaluation, and educational interventions in fragile environments. Dr. Krupar has not been mentioned as receiving specific scientific awards in the provided content. She advises on research and development programming in international education, with a focus on evidence-based design and impact assessment. Though no formal advisees are listed, her role involves mentoring students through coursework and applied projects in development programming. There is no mention of external grants, but her work implies involvement in research design and evaluation for educational initiatives in humanitarian settings. There is no explicit information about labs, research teams, or collaborative groups she leads or participates in, though her work involves designing and evaluating development programs, suggesting potential affiliation with research centers or initiatives focused on global education and emergency response at American University.

Amanda Jensen-DossView profile

Professor

• Clinical Psychology
• Mental Health Implementation Science
• Measurement-Based Care
• +3 more

Amanda Jensen-Doss is a Professor and Director of Clinical Training in the Department of Psychology at the University of Miami's College of Arts and Sciences. Her work focuses on improving mental health care for children and adolescents through evidence-based practices, particularly in community settings. She leads the Child Implementation and Effectiveness Lab (CIELO Lab), which emphasizes translating research into clinical practice. Her research interests include measurement-based care (MBC), trauma-informed treatments, and implementation science. She has extensively studied clinician training, consultation strategies, and the role of data in optimizing youth psychotherapy outcomes. Key areas of focus include unaccompanied migrant children, adolescent treatment engagement, and therapist fidelity to evidence-based protocols. Dr. Jensen-Doss collaborates with community agencies to scale up evidence-based practices (EBPs), addressing barriers like funding and clinician self-efficacy. Her work bridges academic research with real-world clinical challenges, emphasizing pragmatic solutions to enhance mental health service delivery. She has contributed to national initiatives on MBC and EBP sustainability, and her lab provides resources for clinicians via platforms like shinyDLRs diagnostic tool. Notable grants and projects include the COMET study (Community Study of Outcome Monitoring for Emotional Disorders in Teens), which evaluates transdiagnostic treatments, and a focus on modular therapy approaches for anxiety, trauma, and conduct problems in schools. She advocates for clinician training models that balance expert consultation with cost-effectiveness. Her lab’s CIELO Lab website highlights ongoing projects on family support protocols for internalizing disorders and podcasts to improve health literacy. She is active in editorial roles, emphasizing methodological rigor and translational research in youth mental health.

Joshua JacksonView profile

Professor

• Personality Psychology
• Personality Development
• Personality Assessment
• +5 more

Joshua Jackson is a Professor of Psychological & Brain Sciences at Washington University in St. Louis, holding the endowed Saul and Louise Rosenzweig Professorship of Personality Science. His research focuses on personality development and assessment within the Department of Psychological & Brain Sciences, where he maintains an active laboratory in Somers Family Hall. His academic credentials include a PhD from the University of Illinois, Urbana-Champaign and a BS from the University of Wisconsin, Madison. These foundational experiences established his expertise in psychological methodology and longitudinal research design. Professor Jackson's research program investigates the genetic and environmental antecedents of personality change, with particular emphasis on educational experiences as catalysts for development. He examines methodological challenges in personality assessment, comparing self-reports, observer-reports, behavioral observations, and physiological measures across the lifespan. His work bridges theoretical personality psychology with real-world applications in health, relationships, and occupational outcomes. Analysis of his 2012-2014 publications reveals consistent themes: personality's role in predicting life outcomes (divorce, longevity, occupational success), the plasticity of traits in adulthood, and innovative methodological approaches to longitudinal assessment. His research demonstrates how personality traits interact with major life transitions including marriage, retirement, and military service. While no specific awards are documented in the provided materials, his work appears in premier journals including Psychological Science and the Journal of Personality and Social Psychology. Information regarding graduate student mentoring and research funding sources remains unspecified in available records.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +4 more

Yong-Bin Kang is a Senior Data Science Research Fellow at the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) at Swinburne University of Technology, affiliated with the School of Social Sciences, Media, Film and Education. He holds a PhD in AI from Monash University and leads numerous transdisciplinary research projects applying artificial intelligence to address complex societal challenges. Education: PhD in Faculty of IT, Monash University, Australia Dr. Kang's research focuses on Responsible AI and Society, with specific interests in developing Societal-AI platforms that integrate social data with ethical principles. His work spans healthcare, humanitech, education, financial planning, environmental health, and justice domains. He investigates how AI can enhance decision-making processes while promoting societal well-being, with particular attention to ethical implementation and human-centered approaches. His expertise encompasses AI, natural language processing, machine learning, and decision-making optimization. Analysis of Dr. Kang's recent publications reveals a strong trajectory toward socially responsible AI applications across diverse domains. His work consistently bridges technical AI capabilities with social implications, particularly focusing on ethical frameworks, community-centered design, and addressing societal inequalities through technology. The publications demonstrate increasing collaboration across disciplines including criminology, environmental science, mental health, and education. Dr. Kang is actively involved in significant research funding initiatives, with multiple ongoing projects that address critical societal challenges through AI. His supervision availability includes Doctorate (PhD) candidates, indicating his commitment to mentoring the next generation of researchers in AI and data science fields. Current Flagship Areas: Digital Capability Innovative Society Manufacturing Futures Sustainable Development Goals: Good Health and Well Being (SDG 3) Industry, Innovation and Infrastructure (SDG 9) Affordable and Clean Energy (SDG 7)

Nikolaos TziavelisView profile

Assistant Professor

• Database Systems
• Database Theory
• Query Processing and Optimization
• +3 more

Nikolaos Tziavelis is an Assistant Professor in the Department of Computer Science and Engineering at Basking Engineering, University of California, Santa Cruz. His research bridges theoretical and practical aspects of database systems, focusing on improving real-world data processing through novel algorithmic solutions. Education: Ph.D. from Northeastern University (advised by Mirek Riedewald and Wolfgang Gatterbauer) Diploma from National Technical University of Athens, Greece Research Interests: Data Management Database Theory Query Processing and Optimization Algorithms for Big Data Integration of Machine Learning with Database Systems Publication Trends: His work emphasizes ranked enumeration, join algorithms, and query optimization, with applications in responsive database systems and machine learning integration. Key themes include theoretical foundations, practical system improvements, and algorithmic efficiency for complex data processing tasks. Scientific Awards: 2022 Google PhD Fellowship PODS 2021 Best of Recognition 2023 VLDB PhD Workshop Best Paper Award 2024 Khoury Research Award from Northeastern University Service: He has served on program committees for major conferences including SIGMOD, VLDB, PODS, EDBT, ICDE, and Northeast Database Day.

• Computer Graphics
• Computer Vision
• Human-Computer Interaction
• +7 more

Changjian Li is an Assistant Professor in the School of Informatics at the University of Edinburgh. He leads the GraphViX Group (Graphics, Vision and X) and is a member of the Institute of Perception, Action and Behaviour (IPAB). His research spans computer graphics, computer vision, and human-computer interaction with a focus on 3D generation and analysis. Education: Bachelor's Degree from Shandong University (2014) Ph.D. from the University of Hong Kong (2019) under Prof. Wenping Wang Postdoc at University College London (UCL) with Prof. Niloy Mitra Starting Researcher position at Inria with Dr. Adrien Bousseau Research Interests: Changjian's research focuses on sketch-based 3D modeling, CAD modeling, point cloud processing, and medical imaging applications. He develops systems that bridge intuitive sketching with precise CAD workflows, enhances 3D animation pipelines, and applies neural methods to sparse medical data reconstruction. Scientific Recognition: Best Paper Honorable Mention Award (MICCAI 2021) CADTalk selected as Highlight (CVPR 2024 top 10%) ACM SIGGRAPH Asia 2018 cover image selection ACM SIGGRAPH Asia 2015 technical paper highlight CVPR 2019 poster highlighted in 'Computer Vision News' Advising & Collaborations: He mentors postdocs and PhD students including Duolikun Danier, Haocheng Yuan, Ankan Bhunia, and Lei Zhong. Former advisees include Salvatore Esposito (now at Edinburgh), Guangshun Wei (Shandong University), and Mingjun Yang (University of Melbourne). Collaborates with Oisin Mac Aodha, Hakan Bilen, and Niloy Mitra. Professional Service: Currently serves as Associate Editor for IEEE TVCG and participates in program committees for SIGGRAPH Asia, SIGGRAPH, EuroGraphics, and Geometry Design and Computing (GDC) conferences.

Markus VinczeView profile

Associate Professor

• Robotics
• Computer Vision
• Human-Robot Interaction
• +5 more

Markus Vincze is an Associate Professor at the Institute of Automation and Control Engineering (ACIN) at Vienna University of Technology (TU Wien). He founded the Vision for Robotics (V4R) group in 1996 to advance robotic perception, particularly in real-world environments and homes. His work focuses on cognitive computer vision techniques for robotics. Education: Diplom in Mechanical Engineering (1988) and PhD (1993) from TU Wien; M.Sc. (1990) from Rensselaer Polytechnic Institute. V4R coordinates EU projects like ActIPret, robots@home, HOBBIT, and national initiatives like vision@home. Markus has edited a book on Robust Vision with Gregory Hager and authored 62 peer-reviewed journal articles and over 400 reviewed publications. His recent research explores zero-shot 6D pose estimation, sim-to-real transfer, and transparent object detection. Markus has served as program chair for ICRA 2013 and organized HRI 2017 in Vienna. He has advised numerous students and secured grants from the Austrian Academy of Sciences for work at HelpMate Robotics and Yale's Vision Laboratory. The V4R group leads innovations in robotic vision, including frameworks for synthetic data generation (Unrealgensyn), depth completion (CAGT), and educational robotics applications for sustainability. Their work spans household robotics (RH3), agricultural robotics (EdgeSoil), and human-robot collaboration.

Thomas HermannView profile

Researcher

• Auditory Data Science
• Interactive Sonification
• Smart Environments
• +5 more

Dr. rer. nat. Thomas Hermann is a faculty member at Bielefeld University's Faculty of Engineering, leading the Ambient Intelligence Group and coordinating the Computer Science program. He specializes in sonification, auditory data science, and smart environments. Head of Ambient Intelligence Working Group Computer Science Program Coordinator Member of multiple academic advisory boards His research focuses on interactive sonification for biomedical applications, quantum systems, and smart environments. Key projects include ECG sonification for cardiac diagnosis, real-time auditory feedback in swimming, and sonic interfaces for AR cooperation. Recent publications span 2025 with Python-based sonification tools ( pya AGen ), quantum system sonification, and ST-elevation myocardial infarction monitoring. He contributes to open-access supplementary materials and interdisciplinary workshops. As a researcher , Hermann develops practical sonification frameworks like Panson for facial behavior analysis, CardioScope for portable ECG monitoring, and Base Cube One for smart environments. His work bridges academic research with industry applications.

AnHai DoanView profile

Professor

• Data Integration
• Entity Matching
• Data Cleaning
• +4 more

AnHai Doan is the Vilas Distinguished Achievement Professor and Gurindar S. Sohi Professor in the Department of Computer Science at the University of Wisconsin-Madison. His research focuses on data integration, entity matching, and data science, with particular emphasis on building end-to-end systems that leverage machine learning, scalable data management, and human-data interaction. He leads the Magellan project, which develops open-source tools for entity matching as part of the Python data ecosystem. Dr. Doan's research interests include: Data cleaning and integration: Building end-to-end data integration systems as parts of the Python ecosystem of open-source data tools Data science: Developing an agenda that integrates research, system building, education, and outreach, with focus on data quality Crowdsourcing: Pioneering work on using crowdsourcing for data management and integration Knowledge bases: Building community-centric knowledge bases His recent work shows a strong trend toward developing practical systems for data integration that combine machine learning with traditional database techniques. The Magellan project represents a comprehensive effort to build an end-to-end entity matching system, with numerous publications spanning entity matching algorithms, debugging tools, and cloud-based matching services. His research increasingly focuses on the intersection of data science and data management, particularly on data quality issues. Selected scientific awards: Gurindar S. Sohi Professorship (2020) Vilas Distinguished Achievement Professorship (2018) SIGMOD Research Highlight Award (2017) Vilas Associate, UW-Madison (2016) Alfred P. Sloan Research Fellowship (2007) NSF CAREER Award (2004) ACM Doctoral Dissertation Award (2003) Dr. Doan has been actively involved in service to the data management community, including serving on the SIGMOD Advisory Board, as associate editor for VLDB, and co-chairing the industrial program for VLDB. He has also played a key role in strategic initiatives at UW-Madison, including helping to establish the School of Computer, Data, and Information Sciences. He has mentored numerous students and researchers through his work on the Magellan project and related research efforts. Additionally, he co-founded GreenBay Technologies to commercialize Magellan, which was later acquired by Informatica. He leads the Database Group at UW-Madison and has been instrumental in developing data science educational programs at both undergraduate and graduate levels. His work bridges research, education, and practical applications in the rapidly evolving field of data management and data science.

Phil BernsteinView profile

Professor

• Database Systems
• Transaction Processing
• Data Integration
• +3 more

Phil Bernstein is a Distinguished Scientist in the Data Systems Group at Microsoft Research Redmond and an Affiliate Professor at the University of Washington where he occasionally teaches CSEP 545 Transaction Processing. With over four decades of pioneering work in database systems, he has made significant contributions across transaction processing, data integration, and distributed systems. His research interests focus on database systems, transaction processing, and data integration, with recent work on approximate nearest neighbor search over vector databases, improving database servers using disaggregated cloud resources, and the Orleans distributed systems programming framework. Bernstein's work on Orleans (2012-2019) resulted in an open-source framework widely used inside and outside Microsoft, with components addressing indexing, geo-distribution, and transactions. Bernstein has received numerous prestigious awards including being named a Fellow of the ACM and AAAS, receiving the SIGMOD Edgar F. Codd Innovations Award, and election to the National Academy of Engineering and Washington State Academy of Sciences. Fellow of the ACM Fellow of the AAAS SIGMOD Edgar F. Codd Innovations Award Member of the National Academy of Engineering Member of the Washington State Academy of Sciences As an active researcher and academic, Bernstein serves on numerous conference program committees including SIGMOD 2024 (keynotes), VLDB 2024 (Industry), and has held editorial positions for Information Systems and Springer Data-Centric Systems and Applications. His influential books, Principles of Transaction Processing (2009) and Concurrency Control and Recovery in Database Systems, remain foundational texts in the field.

• Digital Transformation
• Information Systems
• Gender and IT
• +6 more

Professor Marie Griffiths is a distinguished academic and expert in digital transformation at Salford Business School, University of Salford. She holds the position of Professor of Digital Technologies in Organizations and serves as EDI Lead for Research (2023–present). Her academic career includes significant leadership roles such as PGR Director at Salford Business School (2019–2023) and Head of the Digital Business Research Centre. She previously served as President of the UK Academy for Information Systems (UKAIS) after her tenure as Vice President. Dr. Griffiths earned her PhD in Business Information Systems, establishing the foundation for her expertise in digital transformation. Her research spans multiple critical areas including digital transformation, information systems, gender and IT, AI and disruptive technologies, digital society, privacy and surveillance studies, family surveillance, productivity technologies, and digital education. Her work consistently bridges academic theory with practical business applications, focusing on how organizations respond to digital disruptions and how workforces adapt to emerging technologies. Her recent publications reveal a strong focus on strategic digital transformation, digital maturity assessment, and the intersection of technology with social impact. The 2025 second edition of her book 'Strategic Digital Transformation – A Results-Driven Approach' represents a significant contribution to the field. Her research increasingly addresses the gender dimensions of digital transformation, as evidenced by her 2024 work on closing the REF Gender Inequality Gap. She also explores the practical applications of digital technologies in specific sectors including government organizations, healthcare (particularly nursing), and financial technology. Vice-Chancellor's Distinguished Teacher Awards (multiple) Professor Griffiths has supervised 14 PhD completions and currently oversees doctoral candidates researching fintech, digital transformation, and sustainability. She established the PGR International Women's Network to support female researchers. Her grant leadership includes 11 Knowledge Transfer Partnerships (KTPs) with organizations like Manchester Chamber of Commerce, OPAL, and Hydro-X, securing significant funding from Innovate UK. She has also contributed to policy development through work with the British Standards Institute Steering Group for Digital Maturity. As Head of the Digital Business Research Centre, Professor Griffiths leads a team focused on practical digital transformation research with strong industry connections. Her approach emphasizes people-centric transformation, ensuring that people remain at the heart of any change. The centre's work spans multiple sectors including government, healthcare, finance, and small and medium enterprises, with a particular focus on developing practical tools like digital transformation canvases for different organizational contexts.

Daniel SchnurrView profile

Professor

• Machine Learning
• Uncertainty Quantification
• Data Economics
• +4 more

Daniel Schnurr holds the Chair of Machine Learning, especially Uncertainty Quantification at the University of Regensburg since August 2022, where he conducts research at the intersection of artificial intelligence, data economics, and digital market regulation. Previously, he headed the Data Policies research group at the University of Passau, building his expertise in the economic and regulatory aspects of digital markets. His educational background includes a doctorate in business informatics from the Karlsruhe Institute of Technology (2016), where he also worked for three years as a research associate at the Institute for Information Systems and Marketing. He completed his undergraduate and master's studies in Information Systems at KIT (2007-2013), with international experience at Concordia University in Canada and Singapore Management University. Professor Schnurr's research focuses on the technical, economic, and social implications of new machine learning methods and data as a decisive competitive factor and driver of innovation in digital markets. His work examines how data functions as both an economic asset and regulatory challenge, particularly in contexts of market power, competition policy, and AI governance. He investigates uncertainty quantification in machine learning systems while considering their broader economic and societal impacts. His publication portfolio demonstrates consistent output in top-tier journals including Management Science, Journal of Information Technology, and Journal of Competition Law & Economics, with recent work increasingly focusing on AI regulation, data access remedies, and uncertainty-aware AI systems. The trajectory shows evolution from telecommunications infrastructure research to contemporary digital market and AI regulation issues. As a Research Fellow at the Centre on Regulation in Europe (CERRE) since 2022, he has authored numerous policy reports addressing regulation of cloud computing services, digital platforms, and data economy frameworks. His policy contributions bridge academic research with practical regulatory implementation, particularly regarding the European AI Act and Digital Services Act. His research program involves experimental approaches to understanding data markets, human-AI interaction dynamics, and regulatory effectiveness. Through his work at CERRE and collaborations with international scholars, he contributes to shaping evidence-based digital policy in the European context while maintaining strong connections to academic research communities in information systems and economics.

• Contract Theory
• Game Theory
• Industrial Organization
• +3 more

Klaus Schmidt is a Professor of Economics at Ludwig Maximilian University of Munich, holding the chair in the Department of Economics within the Faculty of Economics. His research focuses on theoretical and applied aspects of contract theory, game theory, and industrial organization, with significant contributions to understanding venture capital finance, privatization, and fairness in economic behavior. His educational background includes a Ph.D. in Economics from the University of Bonn (1991) with the dissertation "Commitment in Games with Asymmetric Information" and Habilitation (1994) with "Contracts, Competition, and the Theory of Reputation". Early academic support included scholarships from Studienstiftung des Deutschen Volkes (1982-87) and a German Academic Exchange Service grant (1988/89). Professor Schmidt's research centers on contract theory applications across diverse domains. His work on fairness and reciprocity (notably with Ernst Fehr) revolutionized behavioral contract theory, while contributions to venture capital finance and privatization established foundational frameworks for analyzing incomplete contracts in real-world settings. He employs rigorous game-theoretic modeling to address incentive problems in procurement, privatization, and organizational design. His publication record since 1991 reveals consistent focus on contract-theoretic problems, with increasing emphasis on behavioral aspects after 1999. Key thematic clusters include venture capital finance (2002-2003), fairness/reciprocity (1999-2000), and privatization/incomplete contracts (1995-1996), demonstrating evolution from pure theory to policy-relevant applications. Gossen Prize of the German Economic Association (2001) Commerzbank Prize of the Berlin-Brandenburg Academy of Sciences (2001) Teaching Prize of the Bavarian ministry of science (2000) Walter-Adolf-Jörn Prize (1993) German Academic Exchange Service Grant (1988/89) Studienstiftung des Deutschen Volkes Scholarship (1982-87) Professor Schmidt has secured major research funding including German Science Foundation grants for "Incomplete Contracts" (1999-present) and "Venture Capital Finance" (1998-present). His teaching excellence was recognized with Bavaria's highest teaching award (2000), and he maintains active collaboration with leading economists including Ernst Fehr and Monika Schnitzer. While specific student mentorship details aren't documented, his extensive publication record and seminar leadership indicate significant academic supervision.

Sha YangView profile

Professor

• Consumer Choice
• Internet Advertising
• Competition
• +5 more

Sha Yang serves as the Ernest Hahn Professor of Marketing at the Marshall School of Business, University of Southern California, where she has held full-time faculty positions since 2017 after progressing from Assistant to Associate Professor roles at New York University and UC-Riverside. Her research examines interdependencies in consumer preferences, social influences on decision-making, and competitive dynamics in advertising, pricing, and platform growth. Her educational background includes a PhD in Marketing (2000) and MA in Statistics (1998) from Ohio State University, complemented by an MA in Economics (1995) and BA in International Economics (1994) from Renmin University of China. Her methodological expertise spans Bayesian methods, structural modeling, and data analytics applied to consumer behavior. Yang's research portfolio reveals consistent focus on digital marketing phenomena, with recent work analyzing cross-category spillovers in advertising, review impacts under negotiated pricing, and psychological pricing effects in luxury markets. Her publications in Journal of Marketing , Management Science , and Marketing Science demonstrate interdisciplinary approaches bridging econometrics and behavioral insights. Among her recognitions is the Marketing Science Institute Young Scholar award. She has served as Associate Editor for Journal of Marketing (2017-present) and Marketing Science (2017-2024), reflecting her scholarly impact. Marketing Science Institute Young Scholar Associate Editor, Journal of Marketing (2017-present) Associate Editor, Marketing Science (2017-2024) VP, INFORMS Society for Marketing Science Administratively, Yang served as Vice Dean and Senior Vice Dean for Faculty and Academic Affairs at Marshall School of Business (2020-2023), overseeing faculty development and academic strategy. Her current research integrates causal inference methods with media and entertainment industry applications, supported by grants from marketing research institutions.

• Cardiac Surgery
• Heart Valve Disease
• Transcatheter Valve Interventions
• +7 more

Francesco Maisano, MD , is Full Professor of Cardiac Surgery at Vita-Salute San Raffaele University (Milan) since 2021, where he also serves as Director of the Cardiac Surgery Clinic and of the Valve Center at IRCCS San Raffaele Hospital. From 2014 to 2020 he held the Chair of Cardiac Surgery and directed the Department at University Hospital Zurich. Education & Training 1990 – MD, Catholic University of Rome 1994 – Clinical Fellowship, University of Alabama at Birmingham 1995 – Specialization in Cardiac Surgery, La Sapienza University of Rome Research Interests Professor Maisano’s work centres on innovative therapies for heart-valve disease, spanning surgical reconstruction, catheter-based interventions (TAVI, MitraClip, transcatheter tricuspid devices), and hybrid approaches. He leads translational programmes in biomedical engineering, multimodality cardiac imaging, and artificial-intelligence-guided interventions, with emphasis on the multidisciplinary “Heart Team” model for complex cardiovascular disease. His recent publications (2024-2025) demonstrate intense activity in transcatheter mitral and tricuspid repair, long-term durability of surgical mitral repair, AI-driven procedural guidance, and renal protection strategies during mechanical circulatory support. A dominant theme is translating imaging innovations and device concepts into first-in-human studies and large-scale registries. Scientific Awards & Recognitions European Society of Cardiology Silver Medal (2018) ICI Lifetime Achievement in Research & Teaching (2018) ICI Best Technology Parade Presentation (2010) C. Walton Lillehei Young Investigator Award (1999) Leadership & Grants He directs multiple postgraduate programmes, including Certificate of Advanced Studies (CAS) tracks at the University of Zurich in multimodality imaging, aortic valve, and mitral–tricuspid interventions. He is principal investigator on investigator-initiated grants, coordinates industry-partnered device trials, and mentors numerous doctoral and post-doctoral researchers. His team has filed >24 patents and spun off several cardiovascular start-ups. Labs & Teams At IRCCS San Raffaele he leads the Valve Science Center , a multidisciplinary hub integrating cardiac surgeons, interventional cardiologists, imaging specialists, biomedical engineers, and data scientists focused on next-generation valve repair/replacement technologies and personalised cardiovascular medicine.