جست‌وجوی استاد و پژوهشگر

Christian Peukertمشاهده پروفایل

استاد

• Digitization
• Innovation Economics
• Intellectual Property
• +۵ مورد دیگر

Christian Peukert serves as Professor of Digitization, Innovation and Intellectual Property at HEC Lausanne (Faculty of Business and Economics at University of Lausanne) and leads the Digital Markets Lab. His research examines how digitization transforms consumer behavior, firm strategies, and market dynamics, with particular focus on intellectual property frameworks and the economics of data and artificial intelligence. He actively contributes to the Digital Economy Network and teaches courses in strategy, innovation, applied econometrics, and data science. Peukert's research interests center on the economic implications of digital transformation across multiple domains. His work investigates copyright economics in the digital age, AI regulation challenges, open source software business models, and the impact of data governance frameworks like GDPR. He explores how technological changes affect market efficiency in creative industries including publishing, music, and comics, while examining the relationship between innovation incentives and intellectual property systems in digital environments. His publication portfolio demonstrates strong interdisciplinary engagement across law, economics, and computer science, with recent articles appearing in top journals like Management Science, Research Policy, and Organization Science. Notable research trends include examining AI training data economics, analyzing digital market regulation effectiveness, and studying the welfare impacts of mobile internet access policies. His work frequently employs empirical methods including field experiments, natural experiments, and large-scale data analysis. Peukert has received significant recognition for his scholarly contributions, including: Best Paper Award at Strategy Science Conference for research on startup funding and open source communities Best Paper Award at WISE for work on news recommendation algorithms Best Paper Award at INFORMS Annual Meeting 2024 for research on AI training data dynamics His research has attracted media attention from major outlets including Wall Street Journal, Washington Post, MIT Technology Review, and VoxEU, demonstrating the policy relevance of his work. Peukert maintains active collaborations with researchers across Europe and regularly contributes to policy discussions on digital markets and intellectual property through his leadership in the Digital Markets Lab and Digital Economy Network.

Antonio Genovaمشاهده پروفایل

دانشیار

• Planetary Science
• Geodesy
• Radio Science
• +۷ مورد دیگر

Antonio Genova is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Sapienza University of Rome, where he has been working since 2019 (initially as Assistant Professor, promoted to Associate Professor in 2022). His expertise spans planetary geodesy, radio science, and spacecraft navigation, with significant contributions to multiple NASA and ESA missions including Europa Clipper, EnVision, BepiColombo, and JUICE. Dr. Genova received his PhD in Aerospace Engineering (2013) and Master of Science in Astronautical Engineering with honors (2009) from Sapienza University of Rome. Prior to his current position, he worked as a Research Scientist and Postdoctoral Associate at MIT's Department of Earth, Atmospheric and Planetary Sciences, with off-campus assignments at NASA Goddard Space Flight Center. His research focuses on planetary interior structure determination through gravity field analysis, precise orbit determination techniques, and radio science investigations of planetary bodies. His work has significantly advanced our understanding of Mercury's interior structure (including evidence for a solid inner core), Mars' polar ice deposits, and the geophysical properties of icy moons like Europa and Enceladus. Dr. Genova has developed innovative methods for spacecraft navigation using sensor fusion of optical and radiometric data, and has made important contributions to understanding planetary atmospheres through radio occultation measurements. Dr. Genova's recent publications demonstrate a strong focus on cutting-edge techniques in spacecraft navigation and planetary science. His work spans multiple planetary bodies including Mercury, Venus, Mars, Jupiter's moons, and Saturn's moons. A significant portion of his recent research involves the analysis of data from current and upcoming missions like BepiColombo, EnVision, and Europa Clipper, with emphasis on gravity science, atmospheric studies, and interior structure characterization. Rita Levi Montalcini Award for Young Researchers by the Italian Ministry of Education, University and Research (MIUR) (2018) Planetary Science (690) Division Peer Award at NASA Goddard Space Flight Center (2017) Dr. Genova has supervised multiple graduate students, including 5 M.Sc. students and 1 Ph.D. student in 2020, and 2 M.Sc. students in 2019. He has served as Co-Investigator on numerous high-profile space missions including Europa Clipper, EnVision, BepiColombo, and JUICE. He was Principal Investigator for a NASA-funded project on 'Solar System Planetary Geodesy Research' (2017-2018) and has been a member of multiple NASA mission teams including GRAIL, LOLA, MRO, and MESSENGER. As Co-chair of the Geodesy and Geophysics Working Group for the ESA/JAXA BepiColombo mission, Dr. Genova plays a key role in Mercury exploration. He is also a member of ESA's Science Program Voyage 2050 Topical Team, contributing to the strategic planning of future European space science missions.

• Forensic Statistics
• Medical Statistics
• Machine Learning
• +۲ مورد دیگر

Giulia Cereda serves as Associate Professor in the Department of Statistics, Computer Science, and Applications 'G. Parenti' (DiSIA) at the University of Florence since 2025. Her academic journey includes prior roles as Fixed-term Researcher (RTD-b, 2022-2024), Research Fellow (2021-2022), and Swiss National Science Foundation Postdoc Mobility Fellow (2019-2021) at Leiden University and University of Florence. She holds a Joint PhD in Statistics from Leiden University and University of Lausanne (2011-2016), complemented by Master's and Bachelor's degrees in Mathematics from the University of Milan. Her research spans forensic statistics with focus on rare type match problems in DNA evidence evaluation, medical statistics applied to SARS-CoV-2 pandemic modeling, and machine learning implementations for biogeographical ancestry prediction. Recent publications demonstrate methodological innovations in Bayesian approaches for forensic evidence, compartmental modeling of epidemic dynamics, and supervised learning applications in population genetics. Analysis of her 14 most recent publications (2020-2025) reveals dual research thrusts: (1) forensic statistics addressing DNA mixture interpretation and rare haplotype matching through Bayesian frameworks, and (2) epidemiological modeling of smoking dynamics and SARS-CoV-2 transmission using compartmental models with uncertainty quantification. Her work bridges theoretical statistics with practical public health and forensic applications, frequently employing machine learning for complex prediction tasks. Supported by the Swiss National Science Foundation for postdoctoral research (2019-2021), she has contributed to pandemic response through Tuscan regional modeling and school-based screening strategies. Current office hours are Thursdays 3:00-4:00 PM by appointment, with ongoing research in forensic identification systems and epidemic forecasting methodologies.