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Martha SaundersView profile

Associate Professor

• Painting
• Printmaking
• Art History
• +2 more

Martha Saunders serves as Associate Professor of Studio Art and Chair of the Hunt Gallery at Mary Baldwin University, holding an MFA from the Maryland Institute College of Art and a BFA from Virginia Commonwealth University. She is dedicated to fostering collaborative and exploratory studio environments for developing artists through her pedagogical approach. Her educational background includes: Bachelor of Fine Arts (BFA) from Virginia Commonwealth University Master of Fine Arts (MFA) from the Maryland Institute College of Art Saunders' research centers on painting and printmaking with critical engagement in art historical narratives, particularly examining representation of marginalized voices. Her involvement with the Women's Caucus for Art has fundamentally shaped her interrogation of exclusionary practices in art canon formation, driving both her studio practice and academic perspective. As an active mentor, Saunders integrates her professional studio work directly into student guidance, emphasizing process-oriented exploration. Her leadership as Chair of the Hunt Gallery establishes vital exhibition platforms connecting students with broader artistic communities through curated programming and operational oversight.

Andrew OllettView profile

Associate Professor

• Poetics
• History of Literature
• Intellectual History
• +9 more

Andrew Ollett is an Associate Professor and Director of Graduate Studies in the Department of South Asian Languages and Civilizations at the University of Chicago , where he has taught since 2019. His research focuses on the literary and intellectual traditions of South and Southeast Asia, particularly through works in Sanskrit, Prakrit, Apabhramsha, and Kannada from the first millennium CE. Co-founder and editor of NESAR (New Explorations in South Asia Research) Director of NEH-funded edition/translation of the Kavirājamārga (earliest Kannada literary manual) Expert in Prakrit and Kannada literary traditions His work explores the 'question of language'—examining how language choice shaped cultural production and change in premodern India. Current projects include a monograph on context-sensitivity in Indian language theories and a study of manuscript technology's impact on early South Asian knowledge communities. He has authored The Mirror of Ornaments (Naples: Unior Press, 2025) and Language of the Snakes (UC Press, 2017), and co-authored Lilavai (Harvard, 2021). Recent publications include interdisciplinary studies on: Sanskrit-Prakrit campū genre reevaluation Pragmatics in Mīmāṁsā interpretive concepts Manuscript literacy's influence on literary forms Historical linguistics of Middle Indic syllable reduction Philosophy of language in Śālikanātha and Kumārila Bhaṭṭa Awarded the NEH 'Scholarly Editions and Translations' grant , he teaches classical South Asian literature courses covering Sanskrit, Prakrit, and Tamil traditions. He maintains digital resources including a Prakrit Digital Texts Project and Mīmāṁsādigdarśinī digital text repository, and actively contributes to open-access scholarship.

Claire DonnatView profile

Assistant Professor

• Statistics
• Machine Learning
• Graph Neural Networks (GNNs)
• +7 more

Claire Donnat is an Assistant Professor in the Department of Statistics at the University of Chicago, specializing in statistical and machine learning methods for graph-structured and high-dimensional data. Her work bridges theoretical innovation with applications in biomedical research, environmental science, and public health. Education: B.S. and M.S. in Applied Mathematics from Ecole Polytechnique; Ph.D. in Statistics from Stanford University (2020). Her research focuses on three methodological directions: (1) statistical foundations for graph neural networks (GNNs), (2) structured estimation with graph constraints, and (3) multimodal data integration with uncertainty quantification. Key applications include thermotolerance in photosynthetic microbes, family network analysis for child welfare, and spatial transcriptomics. The 15 most recent publications highlight her work in GNNs, CCA, tensor modeling, and epidemic analysis, with keywords spanning statistics, machine learning, and network science. Her methodological contributions address challenges in sparsity, graph topology, and heterogeneous data fusion. Scientific Awards: Facebook Research Award (2021), C3.AI COVID Grand Challenge winner (2020), Lumiata hackathon winner (2020), Stanford Centennial Award (2019), and others. Claire's research group actively recruits postdocs and students for projects involving graph-based modeling, data integration, and biomedical applications. She also provides research consulting in statistical methodology and graph modeling for life sciences.

Anders RantzerView profile

Professor

• Control Systems Theory
• Scalable Control
• Adaptive Control
• +7 more

Anders Rantzer is a Professor of Automatic Control at the Department of Control Engineering, Faculty of Engineering, Lund University, Sweden. He has held visiting positions at Caltech (2004–2005) and the University of Minnesota (2015–2016) as the Taylor Family Distinguished Visiting Professor. His academic journey began with a PhD from KTH Stockholm in 1991, followed by a postdoc at the Institute for Mathematics and its Applications (IMA), University of Minnesota. His research interests center on modeling, analysis, and synthesis of control systems , with a strong focus on scalability, adaptation, and applications in energy networks . He is particularly known for foundational work in positive systems and integral quadratic constraints (IQCs) . These theoretical frameworks are critical in analyzing stability and robustness of large-scale interconnected systems. His work bridges mathematical rigor with practical engineering applications, especially in sustainable energy and networked systems. The recent publications and lecture materials reflect a consistent trajectory in scalable and robust control, optimization, and distributed systems. Themes such as large-scale convex optimization , nonlinear and stochastic control , and network dynamics dominate his scholarly output, indicating a sustained commitment to advancing control theory for complex, real-world systems. Scientific honors include: Fellow of IEEE Member of the Royal Swedish Academy of Engineering Sciences (IVA) Chairman of the Swedish Scientific Council for Natural and Engineering Sciences Chairman of the Royal Physiographic Society of Lund Rantzer has supervised numerous students and contributed extensively to academic leadership and education. He has been involved in major national and international research initiatives such as WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIIT. His work includes developing educational tools and courses in control, optimization, and machine learning. He leads and contributes to research projects on autonomous systems, cloud control, and smart energy networks. He is affiliated with the Control Lab at LTH and participates in collaborative efforts such as the Nordic University Hub on Industrial Internet of Things (HI2OT). His work integrates theoretical advances with practical implementations in robotics, biomedical systems, and industrial automation.

Vladimir KazeevView profile

Assistant Professor

• Numerical Analysis
• Tensor Methods
• Partial Differential Equ to the data-driven solution of PDEs
• +3 more

Vladimir Kazeev is an Assistant Professor at the Faculty of Mathematics, University of Vienna , where he has held a faculty position since 2019. He also held previous academic appointments as a Szegő Assistant Professor at Stanford University (2017–2019), a postdoctoral researcher at the University of Geneva (2015–2017), and research positions at ETH Zurich (2011–2015), Russian Academy of Sciences (2008–2011), and Moscow Institute of Physics and Technology (2009). His research focuses on adaptive, data-driven numerical methods for differential equations, nonlinear low-parametric approximation, and numerical linear algebra. His work intersects computational mathematics, tensor methods, and high-dimensional problem-solving, particularly in the context of partial differential equations (PDEs) and stochastic modeling. The 15 most recent publications reveal a strong emphasis on quantized tensor-structured methods for PDEs, low-rank approximations, and high-dimensional numerical analysis. His research spans theoretical advancements in tensor decomposition, practical applications in chemical reaction networks, and novel discretization techniques for multiscale and degenerate diffusion problems. Scientific awards include the prestigious ETH Medal for outstanding doctoral theses (2016) Russian Academy of Sciences Medal for outstanding student works in mathematics (2011) Advising and teaching activities include supervising Jason Zhu (Stanford, 2019) and Simon Etter (ETH Zurich, 2014), as well as teaching advanced courses in tensor methods, numerical analysis, and PDEs at the University of Vienna, Stanford University, and the University of Geneva. His service to the community includes peer review for 15+ journals and co-organizing minisymposia at SIAM meetings.

Shuran SongView profile

Assistant Professor

• Computer Vision
• Robotics
• Robot Learning
• +4 more

Shuran Song is an Assistant Professor of Electrical Engineering at Stanford University, with a courtesy appointment in Computer Science. Previously, she was faculty at Columbia University. She holds a Ph.D. in Computer Science from Princeton University and a BEng from HKUST. Her research focuses on the intersection of computer vision and robotics, particularly in embodied AI, robot manipulation, and sensorimotor learning. Song's work emphasizes learning from physical interactions to enable robots to perform complex tasks autonomously. She leads the Robotics and Embodied AI Lab (REAL@Stanford) and has received prestigious awards, including the NSF Career Award, Sloan Fellowship, and Microsoft Faculty Fellowship. Education: Ph.D., Computer Science, Princeton University; BEng, HKUST Affiliations: Stanford School of Engineering, Department of Electrical Engineering Research interests include deformable object manipulation, visuomotor policy learning, and generalizable robot skills. Her lab develops algorithms for robots to learn through interaction, with applications in household assistance (e.g., TidyBot) and industrial automation. Notable contributions include the TossingBot and Diffusion Policy frameworks. Publications span robotics, computer vision, and AI conferences (RSS, ICRA, CVPR), focusing on policy learning, deformable object handling, and embodied intelligence. Awards highlight her impact in advancing robot learning and perception. Advises doctoral and master's students in robotics and AI, and collaborates on grants from NSF, DoD, and industry partners. Teaches courses on robot perception and embodied AI at Stanford.

Janusz BujnickiView profile

Professor

• Structural Biology
• Bioinformatics
• Computational Biology
• +4 more

Janusz Bujnicki is a Professor and head of the Laboratory of Bioinformatics and Protein Engineering at the International Institute of Molecular and Cell Biology in Warsaw (IIMCB), Poland. He holds concurrent roles in science policy advisory bodies, including the European Commission's Group of Chief Scientific Advisors (2015-2020, then expert) and the Polish Academy of Sciences’ advisory panel (2024-). He is also a founding member of the Association of ERC Grantees (AERG) and serves on the Scientific Advisory Board of Life Science Center at Vilnius University. Academia Europaea Member (2018-) EMBO Member (2018-) Leadership Academy for Poland (2018) His research spans structural biology, RNA modification, computational biology, and molecular evolution. He has pioneered computational methods like ModeRNA, SimRNA, and ClaRNA for RNA structure prediction and analysis, and developed databases like MODOMICS for RNA modification pathways. His work has applications in understanding RNA function and drug design targeting RNA-processing enzymes. The 15 most recent publications focus on RNA structural modeling (e.g., ModeRNA, ClaRNA, SupeRNAlign), RNA-ligand interactions (LigandRNA), and RNA modification biology (MODOMICS database). These works bridge computational methods with experimental validation in RNA enzymology and structure-function relationships. Scientific Awards: ERC Starting Grant (2010), EMBO Member (2018), Crystal Brussels Sprout (2016), Prime Minister’s Award (2014), Knight’s Cross of Polonia Restituta (2014) Grants & Leadership: Founded RNA bioinformatics infrastructure at IIMCB, led EU science policy advisory groups, and organized international research competitions (RNA Puzzles)

D. Andrew TeeterView profile

Professor

• Hebrew Bible Studies
• Ancient Poetics
• Intertextuality
• +5 more

D. Andrew Teeter is a Professor of Hebrew Bible at Harvard Divinity School (HDS), affiliated with the Committee on the Study of Religion and Near Eastern Languages & Civilizations. He joined HDS in 2008 and specializes in the literature and religious thought of the Hebrew Bible, with a focus on its historical contexts and interpretive reception in Second Temple Judaism. His research emphasizes ancient poetics, intertextuality, and early Jewish biblical interpretation, particularly within the Dead Sea Scrolls. Teeter holds an MA from the University of Wisconsin–Madison and a PhD from the University of Notre Dame. His teaching spans the literature, history, and theology of the Hebrew Bible, with attention to ancient and modern interpretive traditions. Current research projects include reconstructing the grammar of biblical poetics and analyzing textual transmission processes in Second Temple Jewish literature. He regularly teaches courses at HDS and Harvard’s Faculty of Arts and Sciences, focusing on Hebrew Bible studies, ancient Jewish literature, and biblical interpretation. His publications explore topics such as biblical symmetry, exegesis in Dead Sea Scrolls, and coherence in ancient Jewish texts. Teeter’s work bridges biblical scholarship with broader questions about ancient literary conventions and historical reading practices, contributing to interdisciplinary discussions in religious studies and Near Eastern languages.

• Architecture
• Urban and Regional Planning
• Human Geography
• +3 more

Edward Denison is Professor of Architecture and Global Modernities at The Bartlett School of Architecture, University College London. He is also the Co-Director of the MA Architecture and Historic Urban Environments and a PhD Supervisor. With 25-years' experience as an independent consultant specializing in urban and cultural heritage, he combines international professional practice with teaching in London. His research focuses on: Challenging canonical histories of architecture Decolonizing architectural historiography Examining architecture as an extractive process in the Anthropocene Advancing sustainable architectural practices His most recent work explores architecture's role in the triple planetary crisis with a Leverhulme Trust funded project that will culminate in an international publication in 2028. His research has had significant impact, being selected as The Bartlett School of Architecture's only contribution to the Faculty's Impact Case Studies in the 2021 Research Excellence Framework (REF). Denison's publications include: A Practical Guide to Architectural Drawing (2024) Ultra-Modernism: Architecture and Modernity in Manchuria (2017) Architecture and the Landscape of Modernity in China before 1949 (2017) Asmara: Africa's Secret Modernist City (2003) He has received the RIBA President's Medal for Research in both 2016 and 2017. As co-founder of the global collaborative MoHoA (Modern Heritage of Africa/Modern Heritage in the Anthropocene), Denison has organized multiple workshops and international conferences, including 'Modern Heritage in the Anthropocene' at The Bartlett in 2022.

Kathrin LangView profile

Professor

• Chemical Biology
• Protein Engineering
• Genetic Code Expansion
• +3 more

Kathrin Lang is a Full Professor at the Department of Chemistry and Applied Biosciences, ETH Zurich, and Head of the Organic Chemistry Laboratory. Her research focuses on chemical biology, particularly the development of tools for genetic code expansion to incorporate non-canonical amino acids into proteins and advance bioorthogonal chemistries for studying biological processes. Keywords: Genetic Code Expansion, Bioorthogonal Chemistry, Protein Engineering, Ubiquitylation Networks, Post-Translational Modifications. Lang’s work emphasizes proximity-triggered crosslinking reactions, bioorthogonal labeling, and in vivo chemistries to address challenges in protein interaction mapping and structural elucidation. Her group’s recent publications highlight methodologies for dual protein labeling, deciphering ubiquitin code, and enhancing cycloaddition reactivity. Current projects include exploring cyclopropene-fused dibenzocyclooctynes for improved labeling and investigating methylated lysine as a conformational regulator in Hsp90. Funding sources include the ERC (Ubl-tool), DFG (SFB1035, SPP1926), and ETH Zurich. She contributes to education through courses like Genetic Code Expansion for Studying Posttranslational Modifications and Chemical Biology and Synthetic Biochemistry . Collaborative efforts span structural biology, microbiology, and synthetic biochemistry, with applications in ubiquitin research and cellular imaging.

Ketika GargView profile

Researcher

• Computational Neuroscience
• Social Media Analysis
• Collective Behavior
• +3 more

Ketika Garg is a Postdoctoral Scholar Research Associate in the Division of the Humanities and Social Sciences at the California Institute of Technology (Caltech), with an office in the Broad Center for Biological Sciences. Her research focuses on the interplay between individual and social decisions, using experimental and computational methods to explore how social environments influence decision-making and collective behavior. She investigates contexts ranging from traditional foraging paradigms to modern social media landscapes, developing innovative experimental frameworks to study these dynamics. Her research interests span computational neuroscience, social media analysis, and collective behavior, with a particular emphasis on understanding exploration-exploitation trade-offs in both natural and digital environments. She has contributed to studies on hunter-gatherer foraging networks, online toxicity dynamics, and the evolution of search strategies in collective foraging systems. Her work bridges disciplines such as psychology, ecology, and computer science to address fundamental questions in decision-making and social interaction. Dr. Garg’s publications reflect her interdisciplinary approach, covering topics like synergy in collective problem-solving, the roots of online toxicity, and the application of Lévy walks in virtual foraging experiments. While no formal awards or grants are explicitly listed in the provided materials, her research trajectory demonstrates a commitment to advancing methodologies in computational social science. Contact: kgarg@caltech.edu Office: Broad Center for Biological Sciences (96) Phone: 626-395-1755

Barbara BombiView profile

Professor

• Medieval History
• Papacy
• Canon Law
• +5 more

Barbara Bombi is a Professor of Medieval History at the University of Kent's School of History. She holds a PhD from the Catholic University of Milan (2000) and has held research positions at the German Historical Institute in Rome, University of Padua, and Corpus Christi College, Oxford. Her research focuses on the High Middle Ages (1200-1450), specializing in the medieval papacy, canon law, crusades, and the Teutonic Order. She leads the Leverhulme/British Academy-funded 'Diplomacy and the Making of Europe' project. Elected Fellow of the British Academy (2022) and member of the Royal Historical Society Council (2019), she also serves as General Editor of the Canterbury and York Society and on the Internationale Historische Kommission. Teaching spans later medieval Europe, religious history, and canon law. Education: PhD in Medieval History, Catholic University of Milan (2000) Research Fellowships: German Historical Institute Rome (2001), University of Padua (2002–2004) Research Interests: Her work examines papal diplomacy, Anglo-papal relations (as seen in her 2019 OUP monograph), and the Teutonic Order's archival practices. She analyzes the Baltic Crusades' role in European identity formation and medieval diplomatic practices' impact on state-building. Current projects include compiling a catalog of manuscripts of the Liber Extra. Publications Trends: Her articles and books explore papal elections, curial administration, and military orders' archival strategies. Recent works emphasize diplomatic networks and their role in shaping late medieval Europe's political landscape. Awards/Grants: British Academy Fellowship (2022) Leverhulme/BA Small Grant (2018–present) Labs/Teams: Directs the 'Making of Europe' international research network through the Centre for Medieval and Early Modern Studies (MEMS).

Patrick SturtView profile

Associate Professor

• Psycholinguistics
• Syntactic processing
• Language comprehension
• +5 more

Patrick Sturt is a Reader in Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on syntactic processing in language comprehension, computational models of incremental parsing, anaphor resolution, and eye movements in reading. With over 100 publications and more than 3,300 citations, he is a recognized expert in psycholinguistics and language processing. Dr. Sturt's research interests span multiple areas of language processing. He investigates how humans comprehend sentences in real-time, with particular focus on syntactic structures, agreement phenomena, and anaphoric reference. His work often employs eye-tracking methodologies to examine the moment-by-moment processing of linguistic information. He has made significant contributions to understanding how readers handle syntactic ambiguities, garden-path sentences, and the role of prediction in language comprehension. His recent publications demonstrate a strong focus on cross-linguistic studies, particularly examining language processing in Mandarin Chinese and Korean. Many of his studies investigate how syntactic and semantic information interact during comprehension, and how linguistic structures like honorifics, classifiers, and non-canonical word orders are processed. His work bridges theoretical linguistics with experimental psycholinguistics, providing empirical evidence for models of sentence processing. Dr. Sturt actively supervises PhD students including Carine Abraham, Wenjia Cai, Chiuchou Hao, Ruomeng Zhu, and Christy Gu. He teaches Psychology of Language 1 and 2 at the MSc level, as well as Data Analysis for Psychology in R for first-year undergraduates. His teaching reflects his research expertise, providing students with both theoretical knowledge and practical analytical skills. Based in Room G29 of the Psychology Building at 7 George Square, Edinburgh, Dr. Sturt maintains regular office hours on Tuesdays from 3-4pm, providing accessibility to students and colleagues. His email address is patrick.sturt@ed.ac.uk.

• Econometrics
• Applied Econometrics
• Financial Econometrics
• +6 more

Professor Yongcheol Shin is a faculty member in the Department of Economics at the University of York. His academic background includes a BA (Hanyang University), MA (Hanyang University), and PhD (Michigan State University). He specializes in applied and theoretical econometrics, focusing on financial and macroeconomic modeling. Education: BA (Hanyang University), MA (Hanyang University), PhD (Michigan State University) His research spans econometric theory and applications in finance and macroeconomics. Key areas include nonlinear panel data modeling, cointegrating VAR models, regime-switching models, and statistical hypothesis testing for time series. Recent work addresses interactive effects in panel data and multilevel factor models. Recent publications (2023) focus on panel data analysis, canonical correlation, and unit root testing. These studies reflect his expertise in econometric methodology and its application to financial economics, macroeconomics, and trade dynamics. Scientific awards include: 2018 Maekyung-KAEA Economist Award He leads the ESRC-funded project 'New Cross-Sectionally Dependent Panel Data Methods for the Analysis of Macroeconomic and Financial Networks' (2020-2024), collaborating with researchers like J. Chen and W. Wang.

• Modern Irish Poetry
• Contemporary Irish Poetry
• Women's Poetry
• +12 more

Dr. Catríona Clutterbuck is a Lecturer in the School of English, Drama and Film at University College Dublin (UCD), where she has been a core faculty member since 1996. Her academic work centers on modern and contemporary Irish poetry, with a strong emphasis on gender, ethics, faith, and aesthetics in literature. She has made significant contributions through publications, teaching, and academic service. Research Interests: Her research spans modern and contemporary Irish poetry , women’s poetry , gender and nation , subjectivity and ethics , memory and mourning , and creative writing . She explores the intersections of personal and national identity, particularly in the works of poets like Eavan Boland, Seamus Heaney, and Thomas Kinsella. The most recent articles (2021–2024) demonstrate a consistent focus on emotional and ethical dimensions in Irish poetry, especially themes of grief, vulnerability, faith, and the role of art in processing loss. Her work frequently engages with female poets and feminist reinterpretations of national narratives, employing close textual analysis and cultural criticism. Scientific Awards: College of Arts and Humanities Award for Teaching Excellence (2018) Foreign and Commonwealth Scholarship Award (1993) Graduate Scholarship (1993) Postgraduate Studentship (1992) Advising and Grants: While no specific PhD advisees are listed, she has coordinated postgraduate modules such as Dissertation Research Methods and Irish Poetry: Representing Self and Other , indicating active involvement in graduate supervision. She has served as an external examiner for PhD theses and undergraduate programs at multiple institutions, reflecting her recognized expertise. There is no mention of research grants in the provided text. Labs and Teams: No formal research labs are mentioned. However, she has been an active member of academic communities, including the Committee for the Study of Anglo-Irish Literature at the Royal Irish Academy and editorial boards for journals like Irish University Review .