Find Academic Supervisors

• Congenital Heart Disease
• Fetal Cardiology
• Pediatric Echocardiography
• +4 more

Dr. Dina Ferdman is an Associate Professor of Pediatrics at Yale School of Medicine, serving as Director of the Pediatric Echocardiogram Program and Co-director of the Yale Fetal Care Center. She practices pediatric cardiology at Yale Pediatric Specialty Centers in Trumbull and Greenwich, providing comprehensive care for congenital heart disease from prenatal diagnosis through adolescence. Education & Training: MD: University of Massachusetts Medical School (2008) Pediatrics Residency: Columbia University Medical Center (2011) Chief Residency: Columbia University Medical Center (2012) Pediatric Cardiology Fellowship: Columbia University Medical Center (2015) Her research focuses on advancing diagnostic techniques in fetal and pediatric cardiology, particularly through echocardiography innovations. She investigates prenatal detection of congenital heart defects, ventricular strain analysis, and quality improvement initiatives for high-risk infant care. Her work integrates clinical practice with translational research to optimize outcomes for children with structural heart disease. Dr. Ferdman's publications demonstrate consistent focus on echocardiography techniques, prenatal diagnosis, and pediatric cardiac management. Recent work explores the application of high-sensitivity biomarkers for myocarditis diagnosis and quality improvement in preventive cardiology. Her longitudinal studies provide valuable insights into cardiac complications of inflammatory conditions like MIS-C. As Co-director of the Yale Fetal Care Center, she leads interdisciplinary teams providing comprehensive care for pregnancies complicated by fetal heart anomalies. She also directs the Pediatric Echocardiogram Program, implementing advanced imaging protocols and quality standards. She contributes to multicenter collaborative studies through the Fetal Heart Society Research Collaborative.

Hollis ClineView profile

Professor

• Neuroscience
• Developmental Neuroscience
• Synaptic Plasticity
• +3 more

Hollis Cline, PhD, is the Hahn Professor of Neuroscience and Director of the Dorris Neuroscience Center at The Scripps Research Institute (TSRI). She holds adjunct positions at the University of California San Diego and the Salk Institute. Her research focuses on understanding how sensory experience shapes visual circuit development, plasticity, and function, with a focus on neurodevelopmental disorders. Cline earned her PhD in Neurobiology from UC Berkeley (1985) and conducted postdoctoral work at Yale and Stanford. She has served in leadership roles including Co-Chair of TSRI’s Department of Neuroscience and President of the Society for Neuroscience (2015–2016). Her research integrates molecular genetics, electrophysiology, and imaging to study structural dynamics in neural circuits, neurogenesis regulation, and excitation/inhibition balance. Key projects include the Dynamic Connectome (3D connectomics in the optic tectum), neurogenesis control, and the role of inhibition in visual circuit function. Her work revealed activity-dependent mechanisms driving synaptic maturation and topographic map formation, and identified molecular pathways linking visual experience to brain development. Education : PhD (UC Berkeley), B.A. (Bryn Mawr College) Awards : NIH Pioneer Award, AAAS Fellow, TSRI Mentor Award Labs/Teams : Cline Lab at TSRI, Dorris Neuroscience Center Grants : Not explicitly listed but implied via NIH advisory roles and research infrastructure Professional Service : NINDS Board, NIH Advisory Council, Society for Neuroscience leadership Her recent work bridges neurodevelopmental mechanisms with translational insights, using Xenopus models to study exosome-mediated intercellular communication and regeneration responses to injury. Collaborative efforts include the BigNeuron project for neuronal morphology analysis and AI-driven behavior recognition studies.

Raphaël BaroniView profile

Associate Professor

• Narratology
• French Linguistics
• Narrative Theory
• +7 more

Raphaël Baroni is an Associate Professor of Teaching French as a Foreign Language at the School of French as a Foreign Language (EFLE), Faculty of Arts, University of Lausanne (UNIL). He has held this position since August 1, 2011, and has been actively involved in research and academic collaboration since 2005. He previously taught at the University of Michigan and conducted research at the Center for Research on Arts and Language (EHESS-CNRS) in Paris. His research centers on narratology, particularly narrative tension, plot dynamics, focalization, and transmedial storytelling, with a strong emphasis on the didactic applications of narrative theory in language learning. He aims to develop a general narrative theory while exploring its role as a reflective and pedagogical tool in French language acquisition. His work bridges literary theory, cognitive narratology, and language pedagogy. The recent scholarly output shows a consistent focus on narrative theory, especially in graphic narratives and transmedia contexts. His publications explore narrative pacing, segmentation, immersion, and the teaching of narrative concepts. There is a clear trend toward interdisciplinary research, connecting narratology with media studies, education, and cognitive science. Raphaël Baroni founded the French-speaking Narratology Network (RRN) and co-founded the Research Group on Language Biographies (GReBL) to strengthen interdisciplinary collaboration among Francophone scholars. These initiatives reflect his commitment to building academic communities around narrative studies. He has not received any scientific awards mentioned in the source material, and no information is available about advising students or securing research grants. His work is primarily theoretical and pedagogical, with a strong publication record in narratology and French language education.

Matt BonneyView profile

Lecturer

• Digital Twins
• Nonlinear Structural Dynamics
• Mechanical Joint Modelling
• +4 more

Dr. Matt Bonney is a Lecturer in Space Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. He holds a position in the Department of Aerospace Engineering and is actively involved in postgraduate supervision. His research focuses on digital twin technology, nonlinear structural dynamics, mechanical joint modeling, seismic reliability, and uncertainty quantification, with recent emphasis on digital twin security and thermo-mechanical coupling in assembled structures. Dr. Bonney's expertise spans multi-physics joint modeling and multi-disciplinary development of digital twins, with international collaborations. He teaches modules such as 'Advanced Space Systems' (EG-M334) and 'Aerospace Systems' (EGA220), emphasizing space system design, orbital mechanics, and cyber-physical security. His research highlights include the development of a Python Flask-based digital twin operational platform, contextualization of information in digital twin processes, and experimental studies on frictional interfaces. His work on uncertainty quantification and seismic reliability has applications in nuclear reactor systems and civil engineering structures. Dr. Bonney currently supervises a PhD student focusing on nonlinearities in thermal-mechanical joints. His research outputs include over 30 peer-reviewed publications, with contributions to journals like Mechanical Systems and Signal Processing and Data-Centric Engineering .

• Caribbean History
• Atlantic World
• Slavery and Emancipation
• +7 more

Melanie J. Newton is a Professor of History at the University of Toronto, with cross-appointments to the Centre for Caribbean Studies. Her research focuses on Caribbean and Atlantic World histories, particularly slavery, emancipation, Indigenous and African diaspora experiences, gender dynamics, and colonial legal systems. She has held significant administrative roles, including Director of the Caribbean Studies Program and Chair of the Faculty of Arts and Science Academic Appeals Board. DPhil, Oxford University BA, McGill University Newton's work intersects with fields like colonialism, cultural studies, and decolonization, as well as social history and political law. Her publications analyze themes such as genocide in the Caribbean, diaspora identity, and gendered legal struggles. Scientific awards include the 2023 Milner Memorial Award, 2023 Lester J. Cappon Prize, and the 2016 Outstanding Teaching Award from the University of Toronto. She has contributed to public policy through roles like co-chairing Toronto's Dundas Street renaming advisory committee.

• String Theory
• Conformal Field Theory
• AdS/CFT Correspondence
• +2 more

Matthias Gaberdiel is a Full Professor at the Department of Physics, ETH Zurich, where he has been working since 2003 (initially as Associate Professor, then promoted to Full Professor in 2007). His research focuses on theoretical physics, particularly string theory and conformal field theory. Dr. Gaberdiel earned his Diploma in 1992 from the Universitaet Hamburg under Professor Klaus Fredenhagen, followed by a PhD from Cambridge University in 1995 with a thesis on conformal field theory supervised by Professor Peter Goddard. His academic journey included positions as Research Fellow at Jesus College, Cambridge, Research Associate at Harvard University, College Lecturer at Fitzwilliam College, Cambridge, and holder of a Royal Society University Research Fellowship at King's College London. Professor Gaberdiel's research primarily centers on string theory and conformal field theory, with a particular focus on the AdS/CFT correspondence for the case of AdS3/CFT2. He has made significant contributions to identifying the world-sheet theory dual to the symmetric orbifold CFT2, which has allowed for a proof of the AdS/CFT duality in this specific example. His work bridges theoretical physics with mathematical structures, exploring the deep connections between string theory, quantum gravity, and conformal field theories. The mathematical sophistication of his research has implications for understanding quantum aspects of spacetime and black holes through holographic principles. Analysis of Professor Gaberdiel's recent publications reveals a sustained focus on AdS3/CFT2 correspondence, with particular attention to symmetric orbifold constructions, tensionless string limits, and integrability structures. His work demonstrates a progression from foundational aspects of conformal field theory toward increasingly sophisticated explorations of holographic duality in lower-dimensional settings. The mathematical depth of his research connects string theory with representation theory, algebraic structures, and advanced geometric concepts. Royal Society University Research Fellowship Professor Gaberdiel leads a research group at ETH Zurich focused on theoretical aspects of string theory and conformal field theory. His group investigates the mathematical structures underlying quantum gravity and holography, with particular emphasis on the AdS3/CFT2 correspondence. Through collaborations with researchers worldwide, including notable partnerships with Rajesh Gopakumar, Lorenz Eberhardt, and other leading theorists, his work continues to advance our understanding of string theory's mathematical foundations and physical implications.

• Syntax
• Discourse Analysis
• Contrastive Linguistics
• +3 more

Milivoj Alanović is a Professor in the Department of Serbian Language and Linguistics at the Faculty of Philosophy, University of Novi Sad. With a Doctorate in Philological Sciences (2010), his career spans syntax, discourse analysis, and contrastive linguistics with a focus on Serbian language structures. Education: Graduated (2000), Master's (2004), Doctorate (2010) from the Faculty of Philosophy, University of Novi Sad Research centers on the interface of lexis and grammar, semantic resources of syntactic units, and connections between language, thought, and context. His work extends to cognitive and constructional grammar, with a strong emphasis on Serbian language analysis. Publications include 8 monographs (e.g., German-Serbian Contrastive Grammar series) and over 90 works, reflecting collaborations across Serbia, Republika Srpska, Austria, Germany, Croatia, Romania, Russia, and Japan. As a mentor, he has guided diploma, master's, and doctoral theses, including supervision of one doctoral thesis. His scholarly output demonstrates sustained contributions to syntax and contrastive grammar research.

Gordon BigelowView profile

Professor

• Nineteenth-Century British Literature
• Irish Literature
• Cultural Studies
• +3 more

Gordon Bigelow is Professor of English at Rhodes College, specializing in nineteenth-century British and Irish literature with a focus on cultural studies. He joined the Department of English in 1998 after completing his Ph.D. at the University of California, Santa Cruz. Education Ph.D., Literature, University of California, Santa Cruz (1998) M.A., English, University of New Hampshire (1991) A.B., Comparative Literature, Brown University (1985) His research explores intersections between literature and economic thought, particularly in Victorian Britain and Ireland. He is currently working on a book analyzing Anthony Trollope’s Irish fiction and its role in the development of the modern novel. Recent publications include chapters on Trollope’s Irish novels, Victorian print culture, and economic themes in Dickens’s Bleak House . He has also contributed comparative analyses of Victorian science, neoliberalism, and transatlantic literary connections. Bigelow co-edited Approaches to Teaching Dickens’s Bleak House , offering pedagogical strategies for navigating the novel’s complex themes and structure.

• Integrated optics
• Silica and diamond-based photonics
• Optical sensing networks
• +5 more

Professor Francois Ladouceur is a distinguished academic at the University of New South Wales (UNSW), where he serves in the Faculty of Engineering, specifically within the School of Electrical Engineering and Telecommunications. With a career spanning over three decades, Professor Ladouceur has established himself as a leading expert in photonics, optical engineering, and neural interfaces. His educational background includes: Ph.D. in Optical Communication from The Australian National University (1992) Masters in Solid State Physics from École Polytechnique, Montréal, Canada (1987) B. Eng. in Engineering Physics from École Polytechnique, Montréal, Canada (1985) Professor Ladouceur's research spans several cutting-edge areas in photonics and optical engineering. His work focuses on integrated optics, silica and diamond-based photonics, optical sensing networks, and photonics-based brain/machine interfaces. He has made significant contributions to both fundamental waveguide theory and applied integrated optics, introducing innovative approaches to waveguide path design that have improved the size and ease of design of integrated optics devices. His recent work has particularly emphasized the development of liquid crystal-based optical electrodes for neural interfacing and brain/machine interfaces. Analysis of his recent publications reveals a strong trend toward biomedical applications of photonics, particularly in neural interfaces and optrode technology. His research has evolved from fundamental optical engineering to practical applications in healthcare, with a focus on developing novel optical sensing technologies for electrophysiological measurements. The interdisciplinary nature of his work combines optical engineering, materials science, and biomedical engineering to create innovative solutions for neural interfacing. Professor Ladouceur has secured significant research funding through multiple prestigious grants: ARC Discovery (DP200102825): "A Multi-Optrode Array for Closed-Loop Bionics" ($495k) NHMRC Ideas Grant (APP2002282): "Re-engineering the Future of Electrophysiological Measurements" ($732k) ARC Discovery 2016 (DP160104625): "Design of an optrode for next generation brain-machine interfaces" ($457.6k) CRC Project 2016: "High performance optical telemetry system for ocean monitoring" ($1,014,320) US Office of Naval Research: "Multi-Optrode Array for Neural Interfacing" (US$360,000) Professor Ladouceur has extensive experience in translating research into practical applications, having founded Bandwidth Foundry Pty Ltd after raising approximately $20 million from private and public sources. His work bridges the gap between academic research and commercial applications, with a particular focus on developing novel hybrid opto-electronics devices from initial design through to commercial realization. He collaborates extensively with researchers across disciplines, particularly with Professor Nigel Lovell and other colleagues in biomedical engineering. His laboratory focuses on developing optical technologies for neural interfaces, with current projects including multi-optrode arrays for brain-machine interfaces, optical telemetry systems for various sensing applications, and diamond-based photonic structures. The research group maintains strong connections with industry partners and defense organizations, applying photonics solutions to real-world problems in healthcare, mining safety, and ocean monitoring.

• Fluid Dynamics
• Turbulence
• Magnetohydrodynamics
• +3 more

Wouter Bos is a Research Director at CNRS working at the Laboratory of Fluid Mechanics and Acoustics (LMFA) at École Centrale de Lyon, France. He leads research within the Turbulence & Instabilities team, focusing on fundamental aspects of fluid dynamics with applications spanning from plasma physics to epidemiology. His academic journey reflects a deep engagement with theoretical and computational fluid mechanics, particularly in turbulence phenomena. Dr. Bos's research interests center on fluid dynamics, with particular emphasis on turbulence in various contexts including two-dimensional flows, magnetohydrodynamics, plasma physics, and statistical mechanics of fluids. His work explores fundamental questions about energy transfer, coherent structures, and statistical properties of turbulent flows. He has made significant contributions to understanding turbulence without vortex stretching, two-dimensional turbulence, and the application of fluid dynamics principles to epidemiological modeling. Analysis of his recent publications reveals a strong focus on theoretical and computational approaches to turbulence. His work spans from fundamental questions about equilibrium states in two-dimensional turbulence to practical applications in plasma confinement and epidemic modeling. The publications demonstrate consistent innovation in turbulence theory, with particular attention to statistical mechanics approaches, spectral analysis, and the development of reduced-order models for complex fluid phenomena. His research shows growing interdisciplinary connections, especially between fluid dynamics and epidemiology as evidenced by his work on modeling the spread of infectious diseases. Dr. Bos actively supervises doctoral students and postdoctoral researchers, with recent students including Tong Wu, Ryo Araki, Smiron Varghese, Wesley Agoua, and Bruce (Xi Yuan) Yin. He participates in collaborative research projects such as the ANR CM2E project (2021-2025) on Characteristic Mapping Method for the Euler Equations, working with researchers from Aix-Marseille University and McGill University. His laboratory work involves both theoretical analysis and computational simulations, with applications ranging from fundamental fluid mechanics to practical problems in energy research (particularly related to ITER and fusion plasma physics) and public health. The interdisciplinary nature of his research demonstrates the broad applicability of fluid dynamics principles across seemingly disparate scientific domains.

Jack BakerView profile

Professor

• Disaster Risk and Resilience
• Earthquake Engineering
• Seismic Hazard Analysis
• +4 more

Jack Baker is the William Alden Campbell and Martha Campbell Professor of Engineering and Associate Dean for Faculty Affairs in the Stanford Doerr School of Sustainability at Stanford University. He is a Professor of Civil & Environmental Engineering with expertise in probabilistic and statistical tools for quantifying and managing disaster risk and resilience. His work has significantly influenced building codes, performance-based engineering guidelines, and catastrophe risk models. Dr. Baker's educational background includes: Ph.D. in Civil & Environmental Engineering from Stanford University (2005) M.A. in Statistics from Stanford University (2004) M.S. in Civil & Environmental Engineering from Stanford University (2002) B.A. in Mathematics/Physics from Whitman College (2000) His research focuses on disaster risk and resilience, particularly in earthquake engineering and seismic hazard analysis. Baker uses probabilistic and statistical approaches to analyze risk in spatially distributed systems, characterize earthquake ground motions, and simulate post-disaster recovery processes. His work bridges theoretical frameworks with practical applications in building codes and risk management strategies. He has made significant contributions to understanding the relationship between ground motion characteristics and structural response, while also expanding into climate-related hazards like atmospheric rivers and their compound effects. His recent publications demonstrate a growing focus on interdisciplinary research that connects engineering with socioeconomic factors in disaster contexts. There's a clear trend toward integrating machine learning techniques with traditional engineering approaches, particularly in modeling household displacement, economic recovery, and flood damage prediction. His work increasingly addresses the human dimension of disasters, examining how physical damage translates to social impacts and recovery timelines. Dr. Baker has received numerous prestigious awards recognizing his contributions to the field: William B. Joyner Lecture Award from the Seismological Society of America and Earthquake Engineering Research Institute (2023) PROSE Awards finalist for Seismic Hazard and Risk Analysis textbook (2022) Thorpe Medal from the European Council on Computing in Construction (2022) Walter L. Huber Civil Engineering Research Prize from the American Society of Civil Engineers (2018) CAREER Award from the National Science Foundation (2010) As an educator and mentor, Baker advises numerous doctoral and master's students while serving as Associate Dean for Faculty Affairs. His research group has secured significant funding for projects related to seismic risk, disaster recovery modeling, and infrastructure resilience. He has directed major initiatives like the Stanford Urban Resilience Initiative and co-founded the Haselton Baker Risk Group, demonstrating strong leadership in translating research into practical applications. Dr. Baker leads the Baker Research Group, which focuses on probabilistic approaches to disaster risk assessment and management. The group maintains active collaborations with government agencies, industry partners, and international research institutions to advance the state of knowledge in earthquake engineering and broader disaster resilience fields. Their work often involves developing innovative computational tools and frameworks that are made publicly available through GitHub repositories.

Marc SchmittView profile

Researcher

• Artificial Intelligence in Finance
• Business Analytics
• Digital Ecosystems
• +5 more

Dr. Marc Schmitt serves as a Research Associate in the Department of Computer Science at the University of Oxford while concurrently leading as Managing Director of the DEIM Research Institute in Germany. His interdisciplinary work bridges academic research and industry applications across artificial intelligence, cybersecurity, and financial systems. Academic Background: PhD in Computer and Information Sciences (AI in Finance), University of Strathclyde MSc in Quantitative Finance, University of Strathclyde MSc in Software Engineering, University of Oxford BA in Business Administration, Technische Hochschule Nürnberg Georg Simon Ohm Dr. Schmitt's research focuses on AI-driven decision-making at the intersection of finance, business analytics, and cybersecurity. His work examines how intelligent systems integrate into organizational structures while addressing systemic risks in digital ecosystems. Recent investigations include generative AI threats in social engineering, no-code AutoML applications, and policy frameworks for AI-enhanced security systems. His publications demonstrate consistent methodological innovation across theoretical and applied domains. Analysis of his publication trajectory reveals growing emphasis on generative AI security implications (2024-2025), with foundational work in business analytics applications (2023). The research shows strong interdisciplinary connections between computer science, financial economics, and human-centered design principles, reflecting his unique background spanning technical and business domains. Prior to academia, Dr. Schmitt held strategic positions including Senior IT Partner for Equity Finance at Siemens Financial Services and management consulting roles at d-fine and Deloitte, where he advised Fortune 500 companies on digital transformation and risk management. His industry experience directly informs his research approach, emphasizing practical implementation challenges alongside theoretical innovation.

Elisabeth TimmView profile

Professor

• Cultural Anthropology
• European Ethnology
• Popular Genealogy and Family Research
• +5 more

Prof. Dr. Elisabeth Timm holds the Chair of Cultural Anthropology at the Institute for Cultural Anthropology and European Ethnology , University of Münster. With a career spanning decades, her work bridges academic research with public engagement through projects like "Erzählen Deine Gene Dir Deine Geschichte?!" , which won the 2024 Citizen-Science-Preis der Universitätsstiftung Münster. She critiques political movements opposing gender and race theory while maintaining scientific rigor. Research Focus: Her scholarship examines genealogy as knowledge practice, single-family homes as social ontologies, and the intersections of culture, science, and politics. She leads interdisciplinary projects connecting archives, museums, and citizen science initiatives. Scientific Awards: Citizen-Science-Preis (2024) Dr. Fritz Landenberger-Preis (2009) Research Fellowship in Vienna (2009) Public Engagement: Regularly participates in exhibitions like "Familienmacher" (Österreichisches Museum für Volkskunde) and debates on topics such as genetic data ethics and urban development.

Michael MolloyView profile

Professor

• Graph Theory
• Probabilistic Method
• Random Graphs
• +2 more

Michael Molloy is a Professor in the Department of Computer Science at the University of Toronto, with a cross-appointment to the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC). He teaches courses in Discrete Mathematics and the Probabilistic Method, including CSC/MAT A67 and CSC2427/MAT1500 . Research Focus: Graph Theory, Probabilistic Methods, Random Graphs, Constraint Satisfaction Problems, and Markov Chain analysis. His work includes foundational contributions to graph coloring, such as adaptable/conflict coloring and correspondence coloring, and exploring phase transitions in random graphs. He has supervised numerous graduate students, including Lora Hrisch, Jurgen Aliaj, and Hamed Hatami, advancing combinatorial and algorithmic research. Recent publications analyze random graph processes, the freezing threshold for k-colorings, and the resolution complexity of constraint satisfaction problems. These studies intersect theoretical computer science, combinatorics, and probabilistic modeling, often revealing deep structural insights through rigorous mathematical proofs.

Nikolaos KoutsoulerisView profile

Professor

• Predictive Psychiatry
• Machine Learning in Psychiatry
• Psychosis Prediction
• +5 more

Professor Nikolaos Koutsouleris serves as a Research Group Leader for the Max Planck Fellow Group for Precision Psychiatry at the Max Planck Institute of Psychiatry and holds a position as Senior Physician in the Department of Psychiatry and Psychotherapy at Ludwig Maximilian University (LMU) Munich. His work bridges clinical practice with advanced computational approaches to transform psychiatric diagnostics and treatment. Dr. Koutsouleris specializes in predictive psychiatry, focusing on extracting meaningful patterns from neurobiological, neurocognitive, and clinical data to improve early recognition of functional psychoses. His research employs structural MRI, neuropsychological testing, and clinical evaluations within cross-sectional and longitudinal studies, utilizing advanced machine learning methods to identify and validate biomarkers for single-subject prediction of psychosis. As head of the Early Psychosis Studies and the Workgroup for Neurodiagnostic Applications, he drives initiatives to implement predictive models across healthcare settings for personalized management of high-risk individuals. His publication record reveals a consistent focus on machine learning applications in psychiatry, with recent work addressing critical issues like the generalizability of clinical prediction models, brain aging patterns in large populations, and multimodal approaches to psychosis prediction. His research spans from fundamental methodological challenges to clinical applications, demonstrating how AI and machine learning are transforming psychiatric practice toward precision medicine. Dr. Koutsouleris actively trains pre- and post-doctoral investigators in advanced data analysis techniques, emphasizing comprehensive analysis of complex, high-dimensional datasets using multivariate methods. His leadership in the PRONIA Consortium and other collaborative efforts highlights his commitment to advancing the field through international cooperation and rigorous scientific inquiry.