جستجوی استاد راهنمای دانشگاهی

Anna Danielssonمشاهده پروفایل

استاد

• Science Education
• Gender Studies
• Identity in Education
• +۳ مورد دیگر

Anna Danielsson is a Professor of Science Education at Stockholm University's Department of Teaching and Learning, where she also serves as head of the science education section. Her academic career spans prestigious institutions including Uppsala University, King's College London, and the University of Cambridge, with her current research focusing on equity and inclusion in science education contexts. Professor Danielsson earned her PhD in physics education research from Uppsala University in 2009. Her educational journey includes a two-year postdoctoral fellowship at the University of Cambridge's Faculty of Education, followed by positions as senior lecturer at Uppsala University and Reader in Science Education at King's College London during 2016/17. She was promoted to Professor in Curriculum Studies at Uppsala University in January 2018 before joining Stockholm University. Her research program centers on critical examinations of gender, identity, and power dynamics in science and technology education. As leader of the Science Education Equity research group, she investigates inclusion-exclusion patterns and participation barriers for minoritized learners in science, with particular emphasis on physical sciences. Her work employs innovative narrative and discourse methodologies to explore how students construct identities within science learning contexts. Analysis of her recent publications reveals a sustained focus on identity construction in physics education, particularly examining how underrepresented students navigate disciplinary spaces. Her scholarship bridges theoretical frameworks from post-structuralism, cultural studies, and critical discourse analysis with empirical research in both formal and informal learning environments. A notable trend is her increasing attention to mathematics education and cross-disciplinary identity formation, as evidenced by her 2025 work on mathematics capital. Principal Investigator for 'In(ex)clusion in higher education mathematics and physics: Identity enactment in educational trajectories and scientific practices' Lead researcher on 'The unlikely scientists: Exploring what has enabled students from under-represented groups to continue to higher education science studies' (Swedish Research Council, 2019-2023) Collaborator on multiple Swedish Research Council-funded projects examining identity, gender, and equity in STEM pathways Professor Danielsson directs the Science Education Equity research group, which creates interdisciplinary spaces for examining how marginalized learners engage with science education. The group's work combines theoretical innovation with practical implications for creating more inclusive science classrooms and curricula, particularly focusing on how physical sciences can become more accessible to diverse student populations.

Alessandra Maria Paola Broccoliniمشاهده پروفایل

دانشیار

• Cultural Anthropology
• Intangible Cultural Heritage
• Museology
• +۵ مورد دیگر

Alessandra Maria Paola Broccolini is an Associate Professor at the Department of Social and Economic Sciences (DISSE), Sapienza University of Rome. She specializes in cultural anthropology, with a focus on intangible cultural heritage, ecomuseums, and urban/rural territorial studies. Since 2016, she has led the Italian Society for Museography and Demo-Ethno-Anthropological Assets (SIMBDEA) and coordinates national research projects like PRIN 2022 on local museums and PRIN 2020 on marginal Italian territories. Current affiliations: Sapienza University of Rome, Ecole Française de Rome [2021-2026] Research themes: Identity politics, festivals/rituals, traditional knowledge, migration-heritage intersections Key projects: Ecomuseo Casilino Ad Duas Lauros, UNESCO cultural heritage nominations Fieldwork: 5-year study in Naples' Pallonetto district (1994-1999), Bolsena Lake fisheries, Irpinia carnivals Collaborations: ICCD, Regione Lazio, Universidad de Huancayo (Peru) Her publications address heritage regimes in Italy, UNESCO's 2003 Convention implementation, and ethnographic case studies on Mediterranean festivals, urban ecomuseums, and agricultural biodiversity. She teaches Cultural Anthropology and Anthropology of Territory at Sapienza's Faculty of Political Science, Sociology, and Communication.

Francesco Ambrogiمشاهده پروفایل

استادیار

• Fluid Dynamics
• Computational Fluid Dynamics
• Turbulent Boundary Layers
• +۳ مورد دیگر

Francesco Ambrogi is an Assistant Professor in the Department of Mechanical and Materials Engineering at Queen's University, where he leads the Fluids, Energy, and Bio-inspired Unsteady Simulations (FEBUS) lab. His research focuses on computational and theoretical studies of turbulent boundary layers under pressure gradients, with applications in unsteady aerodynamics (turbine blades, rotor blades) and biomimicry (swimming/flying animals) for flow control. Dr. Ambrogi received his PhD in Mechanical Engineering from Queen's University in 2024, following a MASc in Energy and Nuclear Engineering from the University of Bologna, Italy (2019), and a BAsc in Mechanical Engineering from the University of Modena and Reggio Emilia, Italy (2015). He previously served as an Adjunct Assistant Professor at Queen's University in 2024 and completed a Postdoctoral Research Fellowship at the University of Waterloo in Mechanical and Mechatronics Engineering. His research program centers on advancing the understanding of turbulent boundary layer physics under unsteady pressure gradients. Dr. Ambrogi's team leverages modern computational tools, particularly large-eddy simulations, to investigate separated turbulent boundary layers and large-scale coherent structures. These structures are pivotal for the transport of mass, momentum, energy, and contaminants in turbulent flows. His work has significant implications for engineering applications such as turbulent mixing, heat diffusion, and contaminant transport in the atmosphere, with direct relevance to turbine blades, rotor blades, and biomimetic systems for flow control. Dr. Ambrogi's recent publications demonstrate a consistent research trajectory focused on unsteady boundary layer separation phenomena, showing increasing sophistication in handling complex unsteady flow physics. His work combines rigorous computational methods with practical applications in aerodynamics and flow control, particularly examining how time-varying freestream conditions affect boundary layer separation and how turbulent kinetic energy is advected in these complex flows. Dr. Ambrogi has secured funding through the Natural Sciences and Engineering Research Council of Canada (NSERC-CRNSG) under the Discovery Grant Program, with computational support provided by the Digital Research Alliance of Canada. His educational initiatives include ARC4CFD, an open-source course designed to bridge the gap between small-scale CFD simulations and large-scale computations on high-performance computing systems. As director of the FEBUS lab at Queen's University, Dr. Ambrogi leads research that combines fundamental fluid dynamics with practical engineering applications. The lab's work spans from theoretical investigations of flow separation mechanisms to the development of computational tools for practical engineering problems in aerospace and bio-inspired systems.

• Behavioral Economics
• Industrial Organization
• Consumer Protection
• +۷ مورد دیگر

Botond Kőszegi is a Professor of Economics at the Faculty of Economics and Business, University of Bonn. His primary contact information includes the university email bkoeszeg@uni-bonn.de and phone number +49 228 73-60399. His research profile is prominently featured on the University of Bonn's economics department website. Kőszegi's research spans multiple areas within behavioral economics, with particular focus on how psychological factors influence market outcomes. His work examines consumer behavior in competitive markets, particularly when consumers exhibit systematic biases or misunderstandings. He has made significant contributions to understanding reference-dependent preferences, self-control problems, and how market structures interact with consumer naivete. His theoretical frameworks have important implications for consumer protection policies, especially in financial markets where consumers face complex decisions with limited attention. His publication record demonstrates consistent high-impact contributions to top economics journals including the Quarterly Journal of Economics, American Economic Review, Review of Economic Studies, and Econometrica. His recent work (2021-2025) shows increasing focus on digital markets, ecosystem competition, and the welfare implications of online steering practices. The progression of his research indicates a deepening exploration of how behavioral factors shape market outcomes across various contexts, from traditional consumer markets to emerging digital platforms. Kőszegi frequently collaborates with Paul Heidhues, with whom he has co-authored numerous influential papers. His collaborative network also includes researchers such as Matthew Rabin, Takeshi Murooka, and Philipp Strack. His work has been featured in major media outlets including the Financial Times and Zeit Online, indicating real-world policy relevance. His research program has evolved from foundational work on reference-dependent preferences to increasingly complex applications in digital markets and consumer protection. This trajectory reflects both theoretical depth and practical relevance, addressing pressing questions about how to design markets and regulations that account for realistic consumer behavior.

Samantha N. Sheppardمشاهده پروفایل

دانشیار

• Cinema and Media Studies
• Race and Representation in Film
• Gender and Media
• +۵ مورد دیگر

Samantha N. Sheppard is an Associate Professor of Cinema and Media Studies in the Department of Performing and Media Arts at Cornell University, where she also serves as Department Chair. Her research and teaching focus on race, gender, and representation in film, television, and digital media, with a particular emphasis on Black visual culture and sports cinema. Education: While specific degree details are not provided in the text, she holds a PhD and is recognized as a leading scholar in cinema and media studies. Research Interests: Sheppard’s work spans global cinema, sports films, African American film history, women filmmakers, and Blackness on screen. She is known for her concept of "critical muscle memory," which explores how Black athletic bodies are represented and remembered in media. Publications and Media: She is the author of Sporting Blackness: Race, Embodiment, and Critical Muscle Memory on Screen (2020), co-editor of Sporting Realities: Critical Readings of the Sports Documentary (2020) and From Madea to Media Mogul: Theorizing Tyler Perry (2016). She has also contributed essays and criticism to The Atlantic , Flash Art International , and Los Angeles Review of Books . Current Projects: She is currently working on two book projects: The Basketball Film: A Cultural and Transmedia History (under contract with Rutgers University Press) and A Black W/hole: Phantom Cinemas and the Reimagining of Black Women's Media Histories . Awards and Honors: She was selected as a 2021 Academy Film Scholar by the Academy of Motion Picture Arts and Sciences. Public Engagement: Sheppard is a frequent speaker and consultant on film and media, and she organizes the "Voices & Visions in Black Media" lecture series at Cornell.

Diamantis Panagiotopoulosمشاهده پروفایل

استاد

• Aegean Bronze Age
• Cultural Interaction in Eastern Mediterranean
• Archaeological Theory
• +۴ مورد دیگر

Prof. Dr. Diamantis Panagiotopoulos is a Professor of Classical Archaeology at Heidelberg University's Institute of Classical Archaeology, serving as its Managing Director since 2012. His academic foundation includes a doctorate from Heidelberg University (1996) and a habilitation from Salzburg University (2003), both focused on Aegean Bronze Age archaeology. Panagiotopoulos's research explores Aegean Bronze Age societies, with emphasis on seal practices, iconography, cultural interactions, and archaeological landscapes. His work integrates theoretical frameworks with material culture analysis to examine Minoan-Mycenaean administration, transcultural exchanges in the Eastern Mediterranean, and heritage preservation strategies. His publications reflect a strong trajectory toward computational methods in archaeology and interdisciplinary approaches, with recent articles leveraging digital tools for seal analysis and landscape modeling. Earlier works established foundations in ritual studies and cross-cultural encounters. Awards include fellowships from the German Archaeological Institute (DAI), DAAD, and DFG, recognizing his contributions to Bronze Age archaeology. He directs excavations at Koumasa (Crete) and co-leads the Heidelberg Corpus of Minoan and Mycenaean Seals.

Maarten Renkemaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Human Resource Management
• Digitalization
• +۵ مورد دیگر

Maarten Renkema is an Assistant Professor at the University of Twente, specializing in Artificial Intelligence (AI) and its intersection with Human Resource Management (HRM) , Healthcare , and Organizational Innovation . His research explores how AI transforms work design, employee autonomy, and HRM practices in formalized contexts. Key Research Themes: Algorithmic HRM and Digitalization Human-AI Collaboration in Healthcare Self-Managing Teams and Organizational Structures AI Literacy in Education Scientific Awards: Best Dissertation Award (2019) from the Dutch HRM Network Research Trends: His recent work focuses on AI adoption in HRM, ethical implications of algorithmic management, and redefining professional roles in AI-integrated environments. Articles from 2024-2025 highlight practical applications of AI in healthcare workflows, employee-driven innovation, and the evolving responsibilities of HR professionals. Collaborations: Active in cross-sector partnerships, including projects on AI literacy frameworks and talent management in sports. Regularly contributes to professional discourse through invited talks and media commentary on AI's societal impact.

• Artificial Intelligence
• Natural Language Processing
• Human-AI Interaction
• +۴ مورد دیگر

Khiet P. Truong is an Associate Professor affiliated with the Digital Society Institute and the Human Media Interaction group. Their research focuses on the intersection of artificial intelligence, robotics, and human-computer interaction, with particular emphasis on speech emotion recognition, conversational agents for children, and multimodal interaction analysis. Recent work includes exploring how robots can restore trust through apologies, benchmarking Dutch automatic speech recognition systems, and developing child-friendly interfaces for cultural heritage archives. Truong has also investigated physiological signals like laughter and stress markers in speech across diverse contexts. Scientific Awards : Best Functional Design Award (2019) Research Trends : Analysis of speech patterns, emotion recognition, robot-human dialogue, and multimodal behavioral cues dominate their recent publications. Key subfields include Dutch language processing, laughter classification, trust indicators in child-robot interactions, and healthcare applications of speech technology. Academic Activities : Chair of the 26th ACM International Conference on Multimodal Interaction (2024) Examiner roles for PhD defenses and research evaluations (2024–2023) Contributions to workshops on emotion representation and social signal processing

Inge Hoffمشاهده پروفایل

استاد

• Materials for road construction
• Frost protection
• Laboratory testing
• +۵ مورد دیگر

Professor Inge Hoff is affiliated with the Norwegian University of Science and Technology (NTNU) in the Department of Civil and Environmental Engineering, where he has served since 2009. Prior to this, he held roles as senior researcher and research leader at SINTEF. Research Interests : Materials for road construction, frost protection, laboratory testing, pavement dimensioning, road rehabilitation, state development modeling, ground-penetrating radar surveys, and concrete/natural stone coverings. Students : Mentors active PhD fellows Lisa Hannasvik, Arman Hamidi, Clara Weber, and Shoiab Ahmad. Teaching : Coordinates courses like TBA4204/BYGT1102 Transport Infrastructure , BYGT2204 Road and Railway Construction , and BA8600 Pavement Structure Dimensioning . Recent publications highlight his expertise in granular material behavior, asphalt durability under climate stressors, and advanced structural assessment techniques. Collaborations with international researchers and presentations at major conferences (TRB, International Conference on Bituminous Mixtures) demonstrate his ongoing contributions to road engineering.

Autumn M. Womackمشاهده پروفایل

دانشیار

• African American Literary Culture
• Archival Practice
• Visual Technologies and Media History
• +۷ مورد دیگر

Autumn M. Womack is an Associate Professor in the Department of African American Studies and the Department of English at Princeton University. Her work bridges literary scholarship, archival research, and curatorial practice, with a focus on 19th- and 20th-century African American literary culture. She teaches courses on African American literature, race and media, and Toni Morrison’s creative process, often incorporating the Toni Morrison Papers housed at Princeton University Library. Her research centers on the intersections of literature, visual technologies, and archival practice. She is particularly interested in how material evidence—such as photographs, letters, and manuscript drafts—reveals new dimensions of black life and aesthetic production. Her pedagogy emphasizes critical engagement with primary sources, encouraging students to let archival objects guide their inquiry rather than imposing preconceived theses. Womack’s recent publications and projects reflect a strong focus on African American literary history, data and racial representation, and the creative process of major writers like Toni Morrison and Charles Chesnutt. Her work spans archival exhibitions, scholarly monographs, critical editions, and public-facing essays in venues like The Paris Review , Los Angeles Review of Books , and The Times Literary Supplement . Modern Language Association’s William Sanders Scarborough Prize (2022) Shortlisted for the Modernist Studies Association’s First Book Prize She has advised numerous students through her courses and research supervision, though specific names are not listed. Her curatorial leadership of the exhibition Toni Morrison: Sites of Memory exemplifies her commitment to public scholarship and interdisciplinary collaboration. She is currently working on a book titled The Wanderer , exploring Morrison’s creative process, and co-editing a volume on Morrison and Black archival practice with Kinohi Nishikawa. Womack’s lab or research team includes graduate students and collaborators engaged in archival research, literary analysis, and curatorial projects centered on the Toni Morrison Papers. Her future work continues to expand the understanding of black literary life through material culture and narrative innovation.

Mor Armonyمشاهده پروفایل

استاد

• Operations Management
• Stochastic Modeling
• Service Operations
• +۷ مورد دیگر

Mor Armony is the Vice Dean for Faculty and Research, Harvey Golub Professor of Business Leadership, and Professor of Technology, Operations & Statistics at the Leonard N. Stern School of Business, New York University. She has been a key faculty member since 1999 and is a leading researcher in stochastic modeling and service operations. Ph.D. in Operations Research, Stanford University (1999) M.S. in Operations Research, Stanford University (1997) M.S. in Statistics, Hebrew University of Jerusalem (1996) B.S. in Mathematics and Statistics, Hebrew University of Jerusalem (1993) Her research focuses on large-scale service systems, particularly in healthcare and contact centers. She investigates patient flow in hospitals, optimization of customer experience, and control of stochastic processing systems using advanced queueing models and operations research techniques. Her work bridges theoretical rigor with practical applications in service operations management. The recent articles reflect a strong trend toward integrating behavioral aspects into operations models, such as customer impatience, strategic patient behavior, and the impact of online reviews on physician demand. Her research spans healthcare operations, call center optimization, and dynamic routing in heterogeneous systems, consistently published in top journals like Management Science , Operations Research , and Production and Operations Management . Scientific recognition includes being named the Harvey Golub Professor of Business Leadership, a distinguished title at NYU Stern. Harvey Golub Professor of Business Leadership She actively advises research projects and collaborates with scholars on topics including staffing, routing, and capacity management. Her work has been supported by ongoing academic engagement and publication, with recent projects addressing appointment scheduling with no-shows, strategic capacity withholding, and co-sourcing in call centers. She leads research in data-driven queueing science applied to hospital operations and is involved in empirical studies on digital health platforms. Her research group, the Operations Management Group at Stern, focuses on developing analytical models for complex service systems. She contributes to interdisciplinary efforts in healthcare operations and collaborates with medical researchers on improving critical care delivery and outpatient scheduling.

Jasper Brinkerinkمشاهده پروفایل

مدرس

• Family Business Management
• Entrepreneurship
• Psychology of Entrepreneurship
• +۴ مورد دیگر

Jasper Brinkerink is a Lecturer in Entrepreneurship and Innovation at the University of Edinburgh Business School. He also holds a research affiliation with the Centre for Family Business Management at the Free University of Bozen-Bolzano. His work focuses on entrepreneurial decision-making in family firms, new ventures, and privately-owned businesses. Lecturer at University of Edinburgh Research Affiliate at Free University of Bozen-Bolzano Teaching experience at Maastricht University Research Interests : Family business sustainability across generations Entrepreneurial capital in family firm contexts Research credibility and methodological practices Innovation and sustainability in SMEs Publication Trends : His work spans family business dynamics (2016-2024), research integrity (2021-2022), and sustainability in SMEs (2024). Key subfields include identity elasticity, P-hacking, absorptive capacity, and institutional reliance. Teaching Responsibilities : Course Organizer for "Doing Research for Business" (CMSE11538) Course Organizer for "Family Business Management" (CMSE11579) Course Organizer for "The Entrepreneurial Manager" (BUST10115) Research seminar organizer for Entrepreneurship and Innovation group

Emma Axelssonمشاهده پروفایل

مدرس

• Cognitive Development
• Social Development
• Sleep-Related Learning
• +۴ مورد دیگر

Dr. Emma Axelsson is a Lecturer at the School of Psychological Sciences, University of Newcastle, Australia. Her research focuses on cognitive and social development in typically and atypically developing children, with specific interests in early word learning, sleep-related memory consolidation, screen time effects on development, and infants' social category representations using eye-tracking technology. Doctor of Philosophy, University of East London Bachelor of Arts (Honours in Psychology), University of Queensland Dr. Axelsson's research spans multiple disciplines including cognitive neuroscience, memory and attention, and child development. She explores how sleep patterns interact with learning outcomes, investigates screen time's impact on preschoolers' cognition, and examines visual processing of bodies and faces in developmental contexts. Her recent publications highlight trends in screen time research, with 2025 studies analyzing executive function and sleep interactions, and 2024 work examining cross-species social evaluation mechanisms. Earlier articles (2022-2013) cover temperament effects on word learning, body perception mechanisms, and longitudinal developmental studies. Dr. Axelsson supervises multiple PhD and Masters projects related to screen time, sleep, and neurodevelopmental outcomes. Her research team collaborates internationally through networks like ManyBabies and Healthy Minds (Hunter Medical Research Institute).

Senad Bećirovićمشاهده پروفایل

استاد

• Artificial Intelligence in Education
• Digital Technologies in Education
• Intercultural Education
• +۳ مورد دیگر

Senad Bećirović serves as a full Professor at the University of Education Lower Austria (Pädagogische Hochschule Niederösterreich), having progressed from assistant professor (2014) to associate professor (2017) before attaining his current rank in 2023. His academic career spans teaching research methodology, pedagogy, and advanced statistics across undergraduate, graduate, and doctoral programs at international institutions, delivered through both online and in-person formats. Bećirović's research focuses primarily on Artificial Intelligence and digital technologies in education , with significant contributions to intercultural education , gifted education , and foreign language pedagogy . His work demonstrates a consistent trajectory toward understanding how emerging technologies reshape educational practices and outcomes. Through four books published by Springer and Nova Science and over 60 articles in top-tier journals, he has established himself as a leading voice in digital educational transformation. His recent publications (2023-2025) reveal a pronounced emphasis on AI applications in education, with multiple studies examining AI literacy, policy frameworks, and implementation strategies across European higher education contexts. This research demonstrates both theoretical depth and practical relevance to current educational challenges. Bećirović actively contributes to the scholarly community as editor and reviewer for numerous Q1 journals including Smart Learning Environments (Springer), Education and Information Technologies (Springer), and TESOL Quarterly (Wiley). He participates in multiple European Commission-funded initiatives such as ENRICH (Enhancing Teaching and Research through Innovative Digital Technologies) and Erasmus+ projects focused on peace learning and English education. His professional activities extend to international collaboration through membership in the European Network Ethical Use of AI and the American Educational Research Association (AERA). He frequently delivers keynote addresses at international conferences, sharing expertise on AI in education, digital transformation, and intercultural competencies.

Pierre Marionمشاهده پروفایل

پژوهشگر

• Deep Learning Theory
• Optimization of Neural Networks
• Generative Models
• +۲ مورد دیگر

Pierre Marion is a Researcher at INRIA Paris, working within the Sierra research team since September 2025. His work focuses on the theoretical foundations of deep learning and he is beginning to explore applications of AI in mathematics. Marion has established collaborations across multiple institutions including EPFL, Sorbonne Université, and Google DeepMind. His educational background includes: Engineering degree from École polytechnique (2015-2018) with specialization in Applied Mathematics Master's degree from Sorbonne Université (2019-2020) PhD from Sorbonne Université (2020-2023) under the supervision of Gérard Biau and Jean-Philippe Vert Postdoctoral research at EPFL (2024) supervised by Lénaïc Chizat Marion's research interests primarily focus on the theory of deep learning, where he investigates the optimization and statistical properties of various neural network architectures. His work spans from shallow networks to complex generative models, with a particular emphasis on understanding the mathematical foundations that govern deep learning performance. Recently, he has begun exploring applications of AI in mathematical research, aiming to bridge the gap between theoretical machine learning and mathematical discovery. His research often combines rigorous theoretical analysis with practical implications for training deep neural networks. Analysis of Marion's recent publications reveals several key trends in his research. He has made significant contributions to understanding the role of large learning rates in optimization dynamics, demonstrating how they can accelerate convergence in logistic regression and prevent memorization in score-based generative models. His work on attention mechanisms has provided theoretical guarantees for their effectiveness in specific tasks like single-location regression and clustering. Additionally, Marion has extensively studied the connections between residual networks and neural ordinary differential equations , establishing generalization bounds and exploring scaling properties in the large-depth regime. His earlier work included contributions to natural language processing and quasi-Monte Carlo methods, reflecting a broad mathematical foundation that informs his current deep learning research. Marion has received several notable scientific awards: Runner-up PhD Award of AFIA (French Association for Artificial Intelligence) in 2024 Google PhD Fellowship in 2022 Ecole polytechnique Grand Prize of Research Internships in 2018 As an advisor, Marion currently supervises PhD student Yu-Han Wu (since 2024), with whom he has co-authored multiple publications on large learning rates and denoising score matching. Previously, he co-supervised several Master's students including Seorim Park, Yerkin Yesbay, and Nathan Doumèche. Marion has been actively involved in the machine learning community through conference organization (NeurIPS@Paris meetups), session chairing (ICSDS 2022), and extensive reviewing activities. He has served as a reviewer for top journals including JASA and Annals of Statistics, and conferences including NeurIPS and ICLR, where he was recognized as a top reviewer at NeurIPS 2023. Marion is a member of the Sierra research team at INRIA Paris, which focuses on machine learning theory and applications. He has also collaborated with researchers at CREST (Center for Research in Economics and Statistics), as evidenced by his participation in seminars organized by Anna Korba and Karim Lounici. His work often bridges theoretical computer science, statistics, and applied mathematics, reflecting the interdisciplinary nature of modern machine learning research.