Find Academic Supervisors

Małgorzata K. Citko-DuPlantisView profile

Assistant Professor

• Japanese Literature and Culture
• Premodern Cultural Studies
• Digital Humanities
• +4 more

Małgorzata K. Citko-DuPlantis is an Assistant Professor of Japanese Literature and Culture at the University of Tennessee’s Department of World Languages and Cultures, within the College of Arts and Sciences. She holds a Ph.D. from the University of Hawaiʻi at Mānoa, alongside M.A. and B.A. degrees from Polish institutions (Collegium Civitas and University of Warsaw). Her research interrogates the instability of premodern knowledge systems, focusing on the Man’yōshū’s evolving cultural significance across medieval and modern eras. She challenges the canonical fixation on a single manuscript of this foundational poetry collection, arguing its role as a malleable cultural construct. Her work spans interdisciplinary areas including digital humanities, medieval Japanese poetry reception, and contemporary pop-media depictions of premodern Japan. Citko-DuPlantis has authored/co-authored monographs and peer-reviewed articles in English, Polish, and Japanese, with notable works like Clashes of Dragons and Dragonflies (2012) and her forthcoming monograph Embracing Instability: Imagining “Man’yoshū” in Medieval and Modern Japan . She has been awarded grants from the Japan Foundation, Fulbright, and MEXT, and has presented at major conferences such as the Association for Asian Studies and MLA. Her research awards reflect sustained scholarly impact, complemented by multilingual competence in languages including Arabic, Chinese, French, German, Hebrew, Italian, Japanese, Korean, Portuguese, Russian, and Spanish. Citko-DuPlantis actively engages with both academic and public spheres, bridging historical textual analysis with modern cultural phenomena.

Karen LeickView profile

Assistant Clinical Professor

• Literary Modernism
• Digital Humanities
• Media Studies
• +3 more

Karen Leick is a Clinical Assistant Professor and Director of Professional Writing at the University of Illinois Chicago (UIC), Department of English. Her research focuses on literary modernism, digital humanities, and media studies, with emphasis on the intersection of modernist writers with mainstream culture and media. Leick’s major publications include Gertrude Stein and the Making of an American Celebrity (Routledge, 2009) and Modernism on File: Writers, Artists, and the FBI, 1920-1950 (Palgrave, 2008). She is currently working on a digital humanities project analyzing American poetry anthologies (1910-1950) and a biography of poet Mary Carolyn Davies (under contract with SUNY Press). Her work explores how modernist figures like Stein were portrayed in popular media, revealing the deep entanglement between avant-garde art and mass culture. Leick teaches courses in literature, professional writing, and first-year writing. Her research has been published in venues such as Modernism/modernity and Journal of Modern Periodical Studies , addressing topics ranging from FBI surveillance of artists to the cultural role of little magazines. Her recent projects include exploring digital methodologies for literary analysis and examining media panics around childhood through works like Parents, Media and Panic Through the Years (2018). Leick’s interdisciplinary approach bridges traditional literary scholarship with emerging digital humanities practices.

Emanuele TruccoView profile

Professor

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +7 more

Professor Emanuele (Manuel) Trucco is the NRP Chair of Computational Vision in the Department of Computing, School of Science and Engineering, at the University of Dundee. He holds additional roles as an Honorary Clinical Researcher at NHS Tayside and formerly served as an Adjunct Professor at the Chinese Academy of Sciences from 2018 to 2021. He earned his MSc and PhD in Electronic Engineering from the University of Genoa, Italy, in 1984 and 1990, respectively. His research focuses on medical image and data analysis, particularly in retinal imaging, using machine and deep learning techniques. He is co-director of VAMPIRE, a major international initiative in retinal image analysis, which supports biomarker studies in cardiovascular disease, diabetes, dementia, and neurodegenerative disorders. His recent work includes AI-driven tools for predicting dementia from brain scans and cardiovascular risk from retinal images. The latest publications reflect strong trends in applying deep learning to retinal and brain imaging for early disease detection, with themes centered on AI in healthcare, precision medicine, and non-invasive diagnostics. FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Professor Trucco has led and co-led significant research projects funded by EPSRC, NIHR, and EU programs. He has supervised PhD students through industry-sponsored studentships (e.g., OPTOS, NIDEK, Toshiba) and collaborated with institutions such as the Universities of Edinburgh and Liverpool. His research is supported by extensive industrial partnerships including Canon Medical, Epipole plc, and NIDEK. He is a key member of the UK Biobank Eye and Vision Consortium and co-director of the VAMPIRE initiative, a collaborative effort between the Universities of Dundee and Edinburgh focused on retinal image analysis. His work also involves participation in major research networks such as the Academic Health Science Partnership in Tayside.

Drew MilneView profile

Professor

• Poetics
• Drama
• Performance Studies
• +8 more

Drew Milne is the Judith E Wilson Professor of Poetics in the Faculty of English at the University of Cambridge. He serves as a Staff Fellow and Director of Studies in English at Corpus Christi College, and as Keeper of the Lewis Collection. His scholarly and creative work bridges poetry, criticism, and interdisciplinary research. University of Cambridge, Faculty of English Corpus Christi College, Cambridge Keeper of the Lewis Collection Research Interests : Milne specializes in poetics and critical theory , with a focus on modernist and contemporary poetry , Shakespeare in performance , Beckett studies , and ecological poetics . His work intersects Marxist criticism , performance analysis , and avant-garde traditions , reflecting interests in figures like Gertrude Stein, Mina Loy, and Caryl Churchill. Article Trends : Milne's publications span modernist legacies , Marxist literary theory , and ecocritical approaches . He examines Scottish modernism (Hugh MacDiarmid), Shakespearean adaptations , and Beckett's philosophical engagements . His recent works include explorations of metrical politics in Romantic poetry and performance dialectics in Adorno's thought. Professional Contributions : Milne edits Parataxis Editions and co-edited Marxist Literary Theory: A Reader with Terry Eagleton. He contributes to journals like Textual Practice , Diacritics , and Shakespeare Survey , addressing topics from postwar British drama to avant-garde poetics . His creative works include poetry collections like Cutting Carbons (2019) and In Darkest Capital: Collected Poems (2017).

Christopher T. RichardsView profile

Visiting Assistant Professor

• Queer Theory
• Medieval Manuscript Studies
• Late Medieval Art
• +7 more

Christopher T. Richards is a Visiting Assistant Professor of Art at Colby College. Specializing in medieval art history, his research focuses on late-medieval illuminated manuscripts of French poetry, queer theory, and intersections of medieval and modern art practices. He actively contributes to public scholarship through platforms like the Maine Arts Journal and Brooklyn Rail. Education: Not explicitly detailed in the text. His research interests bridge Gothic art, medieval France, image theory, book history, Lacanian psychoanalysis, and queer/trans theory. He explores how medieval artists used figurative abstraction to challenge norms, paralleling modern queer art strategies. His work emphasizes the embodied, sensual nature of artistic practice in both historical and contemporary contexts. Recent publications include analyses of medieval and modern queer reflexivity in art, such as Painting Against Nature (Art History, in press) and Couverture: Transing the Medieval Manuscript (The So What, 2025). Future projects examine Amazons in 14th-century manuscripts and a trans* reimagining of the Western canon. Collaborating with contemporary artists, Richards co-curated The Invention of Truth at 601Artspace. He advocates for accessible queer scholarship, engaging undergraduates and the public through workshops like Art Queeries and podcast appearances.

Miler T. LeeView profile

Associate Professor

• Gene Regulation
• Developmental Biology
• Computational Genomics
• +9 more

Miler T. Lee is an Associate Professor at the University of Pittsburgh , focusing on gene regulation during early embryonic development through high-throughput experimental and computational genomics. He earned his Ph.D. in Genomics and Computational Biology in 2009 from the University of Pennsylvania under Dr. Junhyong Kim, followed by postdoctoral work with Dr. Antonio Giraldez at Yale University. Joining the university in 2016, his research spans maternal-to-zygotic transition (MZT), RNA stability, pluripotency networks, and evolutionary developmental biology, utilizing model organisms like zebrafish, Xenopus, and Hydractinia symbiolongicarpus. Key Research Themes: Maternally inherited RNA dynamics during embryogenesis Mechanisms of RNA degradation and transcriptome remodeling Evolution of pluripotency networks in hybrid species Role of zinc signaling in fertilization barriers Computational tools for RNA regulation and sensing Scientific Awards: Pan-American Society for Evolutionary Developmental Biology Junior Faculty Award (2024) Outstanding New Investigator – International Xenopus Board (2023) Basil O'Connor Scholar – March of Dimes (2017-2019) Recent publications highlight his work on enhancer classification, RNA degradation mechanisms, and cross-species MZT comparisons. His lab develops innovative methods like RESA for regulatory sequence analysis and studies evolutionary divergence in RNA localization patterns. While the articles span computational and experimental approaches, they consistently address RNA's role in cellular identity, developmental timing, and evolutionary adaptation. Applications include understanding pluripotency, designing RNA biosensors, and elucidating fertilization barriers. Prospective Ph.D. students are encouraged to contact him for opportunities in gene regulation, development, evo-devo, and computational genomics.

J. Ilja SiepmannView profile

Professor

• Chemical Theory and Computation
• Chemical Physics
• Environmental and Green Chemistry
• +4 more

J. Ilja Siepmann is a Distinguished McKnight University Professor and Distinguished University Teaching Professor at the University of Minnesota's Department of Chemistry, with affiliations spanning Chemical Engineering, Materials Science, and Data Science. His research integrates molecular simulations, force field development, and machine learning to study adsorption phenomena, phase equilibria, polymer chemistry, and nanoporous materials. Education: Undergraduate: University of Freiburg, Germany (1983-1987) Graduate: University of Cambridge, UK (PhD, 1988-1991) Post-doctoral: IBM Zurich Research Lab, Koninklijke/Shell Lab, and University of Pennsylvania (1991-1994) Research interests focus on chemical theory, materials genomics, and environmental chemistry, with emphasis on energy-efficient separations, nanostructured materials, and sustainable chemical processes. Computational methods like Monte Carlo algorithms and machine learning underpin his investigations into fluid interfaces, nucleation, and catalytic systems. Recent publications emphasize adsorption thermodynamics, molecular simulations of complex fluids, data-driven materials discovery, and polymer self-assembly. Trends include integration of machine learning with molecular modeling, nanoporous materials for clean energy, and phase behavior of refrigerants. Awards: Distinguished McKnight University Professor Distinguished University Teaching Professor Advises graduate and undergraduate researchers in computational chemistry projects. Leads the Siepmann Group at Kolthoff Hall, part of the Chemical Theory Center and Nanoporous Materials Genome Center. Research funded through MURI and industry partnerships.

Simone WinkoView profile

Professor

• Modern German Literature
• Literary Theory
• Emotion in Poetry
• +4 more

Prof. Dr. Simone Winko holds the Chair for Modern German Literature and Literary Theory at the University of Göttingen since 2003. Her research spans literary theory, canonization, praxeology of literary studies, and the intersection of emotions with German poetry around 1900 and digital humanities. Academic Roles: Chair at Göttingen (2003–), DFG Priority Programme 2207 leadership (2017–), Courant Center collaboration (2009–) Key Projects: DFG projects on literary change (2023–), computational literary history (2020–2023), and argumentation practices in interpretations (2018–2020) Her recent work focuses on emotions in German-language poetry , using computational methods to model text similarity and analyze historical shifts between Realism and Modernism. She explores how emotional codes and narrative strategies are embedded in lyrical structures, particularly through projects like Anthologien zeitgenössischer deutschsprachiger Lyrik (2022). Scientific Awards : 2010: 1st prize for best doctoral supervision (KissWin, BMBF-funded) Teaching & Collaboration : Supervises B.A., M.A., and Ph.D. theses; co-edits the Journal of Literary Theory and Revisionen book series. Collaborates with Fotis Jannidis, Gerhard Lauer, and Matías Martínez on computational approaches to literary studies.

David HongView profile

Assistant Professor

• Big Data Analysis
• Low-Rank Matrix and Tensor Methods
• Unsupervised Learning
• +5 more

David Hong is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Delaware. He holds a PhD from the University of Michigan, where he was an NSF Graduate Research Fellow, and previously served as an NSF Postdoctoral Research Fellow at the University of Pennsylvania. His research focuses on developing robust methods for analyzing heterogeneous and high-dimensional data, particularly through low-rank matrix and tensor techniques. Applications span medical imaging, radar systems, genomics, and astronomy. He emphasizes theoretical guarantees and practical algorithms for signal extraction and inverse problems. Education: PhD in Electrical Engineering and Computer Science (University of Michigan), NSF Postdoctoral Research Fellowship (University of Pennsylvania). Research Interests: Low-rank matrix/tensor methods, heterogeneous data analysis, unsupervised learning, and applications in healthcare, imaging, and sensor systems. His work addresses noise robustness, scalable algorithms, and real-world deployment challenges. Scientific Awards: Recipient of the NSF Postdoctoral Research Fellowship (2020) and NSF Graduate Research Fellowship (2015). Advising & Grants: Advisor to graduate students in machine learning and signal processing (no named advisees listed). Active NSF grant recipient for foundational and applied research in data science. Labs/Teams: Engaged in interdisciplinary collaborations through the University of Delaware's Center for Computational Research and Data Science initiatives.

Reuben Leveson-GowerView profile

Assistant Professor

• Enzyme Design
• Biocatalysis
• Protein Engineering
• +3 more

Dr. Reuben Leveson-Gower is an Assistant Professor in the Biocatalysis Section of the Department of Biotechnology at TU Delft. His research focuses on designing enzymes for novel chemical reactions, combining synthetic chemistry principles with biological systems to advance green chemistry and deepen understanding of enzyme mechanisms. He holds a PhD from the University of Groningen (cum laude) and has expertise in protein engineering, directed evolution, and computational enzymology. Notable awards include the FEBS Short-Term Fellowship and the Salters’ Institute Graduate Prize. Education: PhD in Chemistry (Groningen), MChem with First Class Honors (Durham). Research Focus: Artificial enzyme design, biocatalytic reactions, protein engineering, and sustainable chemical processes. Awards: FEBS Fellowship, Salters’ Prize, cum laude PhD distinction. His lab employs interdisciplinary techniques such as synthetic chemistry, bioinformatics, and mechanistic enzymology to evolve enzymes for non-natural reactions. Key projects include developing Friedel-Crafts alkylases and boron-catalyzed systems. Collaborations emphasize translational applications in industry and environmental sustainability.

• Geophysics
• Reservoir Geophysics
• Geophysical Inversion
• +5 more

Professor Yanghua Wang is a leading academic in Geophysics at Imperial College London's Faculty of Engineering. He serves as Principal of the Resource Geophysics Academy and Director of the Centre for Reservoir Geophysics. His career spans over four decades, with roles including Research Manager at Robertson Research and a PhD from Imperial College London (1995–1997). He holds prestigious awards such as Fellow of the Royal Academy of Engineering (2021) and membership in the Chinese Academy of Engineering (2023). Education highlights include a BSc (1983) and MSc (1994) in Geophysics, followed by a PhD in Geophysics (1997). His research focuses on seismic inversion, reservoir geophysics, and time-frequency analysis, with notable monographs on seismic inversion and signal processing. He leads interdisciplinary projects combining machine learning with geophysical modeling, addressing challenges in reservoir characterization and seismic data processing. Research interests emphasize geophysical inversion techniques, anisotropic media analysis, and applications in energy exploration. He has pioneered methods like the W transform for seismic signal analysis and contributed to advancements in physics-informed neural networks. His work bridges theoretical geophysics with practical reservoir engineering solutions. Prof. Wang’s lab, the Resource Geophysics Academy, focuses on innovative geophysical methodologies for subsurface characterization. His recent projects include AI-driven data assimilation for large-scale systems and high-resolution seismic imaging techniques. Collaborations span academia and industry, addressing global energy and resource challenges.

Gaston BacquetView profile

Lecturer

• Nonviolence Education
• Decolonial Studies
• Contemplative Education
• +7 more

Gaston Bacquet is a Lecturer in Education Studies at the University of Glasgow's School of Education, specializing in Culture, Literacies, Inclusion & Pedagogy. A Chilean teacher trainer and educator based in Scotland, he also holds qualifications as a meditation and yoga instructor. With extensive international teaching experience across K-12 and higher education systems in Chile, Japan, Saudi Arabia, Myanmar, the US, and UK, his work bridges practical pedagogy and theoretical innovation. His educational background includes a DipTESOL from Trinity College London, an MA in TESOL from the Institute of Education (UCL), and a PhD in Education from the University of Glasgow. Bacquet currently teaches in the MSc/MEd Education Studies program and leads the undergraduate Asian Religions course, while supervising dissertation students across the School of Education. Research interests center on nonviolence as transformative educational practice, with emphases on decolonial approaches, contemplative pedagogy, and inclusion of minoritized groups. His work integrates Buddhist philosophy, indigenous wisdom traditions, and international perspectives to challenge Western epistemological dominance. Key methodological commitments include participatory action research and qualitative approaches that prioritize community voices. Recent publications reveal evolving trajectories from language education toward decolonial nonviolence frameworks, with increasing focus on Global South contexts, indigenous knowledge systems, and teacher preparation. His 2024-2025 work shows intensified engagement with Buddhist-Christian dialogue, indigenous contributions to peace education, and practical applications of nonviolence in classroom power structures. As a supervisor, Bacquet mentors Master's students in inclusion, nonviolence, and educational ethics, welcoming PhD proposals aligned with his research interests. His professional activities span editorial roles with Cogent Arts and Humanities and SAGE Open , alongside active participation in international scholarly networks including the Comparative and International Educational Society and the European Network for Buddhist-Christian Studies. Professional affiliations reflect his interdisciplinary reach: British Educational Research Association (2021-present), American Educational Research Association (2022-present), International Society for Contemplative Research (2023-present), and the International Society for the Scholarship of Teaching and Learning (2025-present). His conference presentations consistently address nonviolence pedagogy, decolonial curriculum development, and participatory research ethics across global contexts from Chile to New Zealand.

• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• Biomedical Imaging Physics
• +6 more

Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology

Aurélie LabbeView profile

Professor

• Data Science
• Statistical Learning
• Machine Learning
• +7 more

Aurélie Labbe is a Full Professor in the Department of Decision Sciences at HEC Montréal, holding the prestigious FRQ-IVADO Chair in Data Science. Appointed as Co-Scientific Director – Academic Partnerships at IVADO in October 2023, she plays a key leadership role in establishing connections between IVADO and partner universities. Her academic journey includes a PhD in Statistics from the University of Waterloo, a Master's degree in Statistics from the University of Montreal, and dual Bachelor's degrees in Applied Mathematics and Social Sciences from Paris-Dauphine University and Pure Mathematics from Versailles-St Quentin University. Her research spans multiple interdisciplinary domains with a focus on developing advanced statistical and machine learning methodologies for big data analysis. Labbe's work bridges theoretical statistics with practical applications across diverse fields including genomics, neuroscience, transportation systems, and health informatics. She has made significant contributions to kernel methods, matrix factorization techniques, random forest applications, and spatiotemporal data analysis, with publications appearing in top journals across multiple disciplines. Analyzing her recent publications reveals a clear trend toward methodological innovation applied to complex real-world problems. Her work demonstrates expertise in handling high-dimensional data from diverse sources including neuroimaging, transportation networks, and genomic studies. The interdisciplinary nature of her research connects statistical theory with applications in healthcare, transportation safety, and biological sciences, reflecting her ability to develop methods that address domain-specific challenges while advancing statistical methodology. Holder of the FRQ-IVADO Chair in Data Science Member of the Center for Mathematical Research Training Professor Labbe actively mentors the next generation of data scientists, supervising numerous doctoral and master's students. Her supervision portfolio includes 1 doctoral thesis (2023), 4 master's theses (2022-2024), and 32 supervised projects spanning 2019-2025. Her students' work covers diverse applications including transportation safety, healthcare analytics, financial modeling, and environmental analysis. Through her leadership of the FRQ-IVADO Chair in Data Science, she coordinates research activities that integrate mathematical, statistical, and computer science expertise with domain knowledge from various data-generating fields. As Co-Scientific Director at IVADO, Professor Labbe leads efforts to establish connections with faculties and departments across five partner universities, integrating them into IVADO's research and knowledge transfer activities. Her leadership role positions her at the forefront of advancing data science research and applications in Quebec's academic ecosystem.

Fabian WaleffeView profile

Professor

• Fluid Dynamics
• Turbulence
• Hydrodynamic Stability
• +5 more

Professor Fabian Waleffe is an Applied Mathematician at the University of Wisconsin, Madison, holding a joint appointment between the Department of Mathematics and the Department of Engineering Physics. His academic career spans multiple decades with extensive teaching experience at both UW Madison and MIT. Professor Waleffe's primary research focuses on the fundamental problem of turbulence in fluid flows and its relation to Exact Coherent States. He developed the Self-Sustaining Process theory for shear flows, which provides an ab initio method to discover families of 3D traveling wave solutions of the Navier-Stokes equations in all canonical shear flows. His research also encompasses geophysical flows and computational methods for solving partial differential equations, including spectral integration methods and numerical techniques for incompressible flows. His publication record demonstrates consistent focus on hydrodynamic instabilities, turbulence, and coherent structures. Recent work examines optimal heat transport in Rayleigh-Bénard convection, streak instability, and near-wall turbulence, integrating theoretical analysis, numerical computation, and physical insight to address fundamental questions in fluid dynamics. His research has evolved from early work on triad interactions in homogeneous turbulence to the current focus on exact coherent structures that form the 'backbone' of turbulent shear flows. Professor Waleffe has taught extensively across the mathematics and engineering curriculum. He has taught Math 321 (Vector and complex calculus for the physical sciences) for 29 semesters at UW Madison, along with numerous other undergraduate and graduate courses. His teaching spans from introductory calculus to advanced graduate topics in hydrodynamic instabilities and turbulence, reflecting his deep commitment to mathematical education in the physical sciences.