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Michael SchererView profile

Assistant Professor

• Computational Epigenomics
• Single-Cell Data Analysis
• Statistical Learning
• +1 more

Michael Scherer is a Group Leader in Computational and Single-Cell Epigenomics at the German Cancer Research Center (DKFZ) in Heidelberg, Germany, a position held since 2024. Previously, he was a Postdoctoral Researcher at the Center for Genomic Regulation in Barcelona (2021-2023) and completed his PhD at the Max Planck Institute for Informatics and Saarland University (2016-2020). Education: Bachelor of Science in Computational Biology, Saarland University (2011-2014) Master of Science in Computational Biology, Saarland University (2014-2016) Dr. Scherer specializes in computational epigenomics with core expertise in single-cell data analysis, statistical learning methodologies, and cancer epigenomics. His research develops advanced computational frameworks to decode epigenetic mechanisms in disease contexts, particularly focusing on DNA methylation dynamics in hematological malignancies and aging. Key innovations include algorithms for quantifying epigenomic heterogeneity and tools for multi-omic integration that bridge molecular profiling with clinical phenotypes. His recent publications (2022-2025) reveal a concentrated focus on acute myeloid leukemia epigenetics, leveraging single-cell and spatial multi-omics to dissect clonal architecture, enhancer hijacking events, and retrotransposon activity. Recurring themes include the development of specialized bioinformatics tools (e.g., EpiCHAOS, scTAM-seq) and the discovery of epigenetic drivers like MNX1 dysregulation in leukemia subtypes. Work spans cancer biology, aging research, and environmental epigenetics with strong translational implications. No scientific awards were mentioned in the source material. As a newly established Group Leader at DKFZ, Dr. Scherer's current advising activities and grant portfolio are not detailed in available texts, though his role implies responsibility for mentoring trainees and securing competitive research funding for computational epigenomics projects. He leads the Computational and Single-Cell Epigenomics group at DKFZ, developing computational pipelines for epigenomic data analysis with applications in cancer evolution, aging, and therapeutic response prediction.

Thomas DickinsView profile

Senior Lecturer

• Linguistics
• Russian language and literature
• Czech language and literature
• +7 more

Thomas Dickins is a Senior Lecturer in the School of Humanities within the Faculty of Arts, Business and Social Sciences at the University of Wolverhampton. He serves as Coordinator for the Area Studies Unit of Assessment and has extensive administrative experience, including membership on the Faculty of Arts Research Committee and the Faculty of Arts Gender Equality Action Plan Sub-Committee. His educational background includes a PhD (by published work) from the University of Wolverhampton (2012) on Czech language contact; a PGCE from the University of Nottingham (1986), where he was awarded the Wortley Year Prize for theory of education; an MA from the University of Leeds (1983) focusing on Czech literature; and a BA (Hons) in Russian Studies from the University of Leeds (1981). Dickins specializes in applied Slavonic linguistics with particular expertise in Czech language variation and change. His research explores Czech lexicology, diachronic language change, linguistic purism, loanwords, and the relationship between language and political discourse. He has written extensively on Czech language contact phenomena, particularly examining how political contexts influence lexical borrowing and language attitudes. His scholarly output demonstrates a consistent focus on how political regimes, particularly Communist Czechoslovakia, shaped linguistic practices and discourse patterns. His work often analyzes historical texts, dictionaries, and political slogans to trace ideological influences on language development. Senior Fellow of the Higher Education Academy (2016) Wortley Year Prize for theory of education (awarded with PGCE) Member of editorial board for Studie z aplikované lingvistiky Member of Linguistics Association of Great Britain Member of British Association of Slavonic and East European Studies Dickins has supervised PhD students including Sara Almugharbil, and has served as external examiner for Czech, Russian and Linguistics at multiple institutions including University of Sheffield, University of Birmingham, and University of Durham. He has considerable experience as both internal and external PhD examiner. His industry experience includes work as an interpreter/translator for organizations such as West Midlands Police and Banks's Brewery, and facilitating externally funded projects with Czech academic institutions. He teaches courses including Language in Use, Language and Society, Research Methods for English Language, Linguistics and TESOL, Language Variation and Change, Analysing Talk and Text, and Russian Language at various levels.

HAYASHI AtsuhiroView profile

Professor

• Educational Technology
• Higher Education
• Statistical Science
• +2 more

HAYASHI Atsuhiro is a Professor at the Department of Socio-Industrial Management, School of Social Engineering, Nagoya Institute of Technology. He holds a Ph.D. in Engineering from Okayama University (1992) and an M.Sc. in Science from Kyushu University (1986). His career spans multiple institutions including Kyushu University (2009-2016), Tokyo Institute of Technology (2004-2007), and Nagoya Institute of Technology (2016-present). Ph.D. in Engineering, Okayama University (1992) M.Sc. in Science, Kyushu University (1986) B.Eng., Okayama University (1984) His research focuses on Computer-Based Statistics , Educational Engineering , and Higher Education Theory . He has led significant grants such as the Comprehensive University Entrance Examination Research (2021-2026) and Establishing Logical Description Education (2021-2024). His work emphasizes multi-faceted assessment , score band analysis , and educational equity . Recent publications examine entrance exam score correlations (2025), crisis management in admissions (2024), and logical writing instruction (2023). He has served on committees like the Japanese Society for Medical Education and International Federation of Classification Societies . His social contributions include advising super science high schools and designing statistical certification exams .

• Applied Physics
• Materials Science
• Semiconductor Materials
• +7 more

Alexandros Georgakilas serves as Professor and Vice Chair of the Department of Physics at the University of Crete, where he has held faculty positions since 1995. After progressing from Assistant Professor (1995) to Associate Professor (2002) and full Professor (2010), he chaired the department from 2019-2023 while maintaining active research leadership. His academic credentials include: BSc in Physics from the University of Patras (1984) PhD in Physics from the University of Crete (1990), focusing on III-V semiconductor epitaxy at Thomson-CSF/LCR Paris and Research Center of Crete Georgakilas' research program centers on applied physics of semiconductor materials , with pioneering work in Molecular Beam Epitaxy (MBE) of III-V heterostructures and nanostructures. His investigations span device integration on alternative substrates (particularly silicon), structural-electronic property interrelationships in semiconductor interfaces, and performance optimization of optoelectronic devices. This work bridges fundamental materials science with practical applications in high-frequency electronics. Analysis of his 2019-2025 publications reveals concentrated expertise in III-nitride semiconductors (GaN/InN), featuring advanced characterization of quantum wells, nanowires, and high-electron-mobility transistors (HEMTs). His methodology consistently combines experimental techniques (electron microscopy, Raman spectroscopy) with computational modeling for device validation, demonstrating sustained innovation in semiconductor device physics. No scientific awards were documented in the source materials. While the provided text does not specify advised students or research grants, Georgakilas maintains significant institutional engagement through the Institute of Electronic Structure and Laser (IESL) at FORTH. His career trajectory includes international collaborations spanning Thomson-CSF (Paris), University of Maryland, and European research consortia, reflecting extensive cross-institutional partnerships in semiconductor research. His laboratory work at IESL/FORTH focuses on MBE-grown semiconductor heterostructures , with recent emphasis on nanowire networks, quantum well engineering, and diamond-substrate integration for next-generation electronic devices.

• Aesthetics and art historiography of the 19th and 20th centuries
• Linguistic and discursive dimensions of writing about art
• Image theory
• +4 more

Dr. Giovanna Targia is a postdoctoral research associate at the Art History Institute of the University of Zurich, working under Prof. Tristan Weddigen on the SNSF research project "Heinrich Wölfflin Collected Works" since February 2017. She has held significant research positions at prestigious institutions including the Kunsthistorisches Institut in Florenz (Max Planck Institute), IMT School for Advanced Studies Lucca, Ludwig Maximilian University of Munich, and the Bibliotheca Hertziana (Max Planck Institute for Art History) in Rome. Her academic background includes: PhD (Diploma di Perfezionamento) in Art History from the Scuola Normale Superiore (2009), with a dissertation on Aby Warburg's lecture series "Introduction to the Culture of the Early Italian Renaissance" (1909) Philosophy studies at the Scuola Normale Superiore and the Università di Pisa Dr. Targia's research focuses on aesthetics and art historiography of the 19th and 20th centuries, with particular emphasis on the linguistic and discursive dimensions of writing about art. She specializes in image theory and the methods and history of art history, especially as developed by members of the Warburg Circle regarding artistic creation in cultural history. Her work also encompasses the theory of form and Goethe's scientific writings (morphology), as well as the theory and practice of translation in art historical contexts. She has made significant contributions through critical editions of works by Heinrich Wölfflin and Aby Warburg, and has co-organized major exhibitions including "Camere con vista. Aby Warburg, Firenze e il laboratorio delle immagini" at the Uffizi Gallery in Florence (2023). Analysis of her recent publications reveals a consistent focus on Warburg studies, iconology, and the relationship between images and language. Her work demonstrates deep engagement with the intellectual traditions of German art history, particularly the Warburg Circle, while also exploring connections to broader philosophical and scientific traditions. She has made important contributions to understanding the methodologies of key figures like Edgar Wind, Erwin Panofsky, and Heinrich Wölfflin, and has examined how concepts from biology and morphology inform art historical thinking. Her scientific awards include: 2014 Alexander von Humboldt Foundation Research Fellowship for Postdoctoral Researchers 2013 Ladislao Mittner Prize of the DAAD for Art History 2013 Postdoc Fellowship at the Bibliotheca Hertziana - Max Planck Institute for Art History 2011 Progetto Giovani Ricercatori (Project funding for young researchers), Scuola Normale Superiore, Pisa Dr. Targia has been actively involved in organizing academic events and exhibitions, demonstrating leadership in her field. She has co-organized numerous workshops, conferences, and exhibitions, including the 2023 exhibition "Camere con vista" at the Uffizi Gallery, and various transdisciplinary workshops exploring the intersections of art history with other fields. Her collaborative work spans multiple institutions across Europe, reflecting the international nature of her research network.

Pablo Gamallo OteroView profile

Professor

• Natural Language Processing
• Information Extraction
• Machine Learning
• +7 more

Pablo Gamallo Otero is a Full Professor at the University of Santiago de Compostela (USC) with extensive experience in Natural Language Processing and Information Extraction. His academic career began with a Linguistics thesis defended in 1998 at the Université Blaise Pascal, followed by post-doctoral work at the Artificial Intelligence Center of the Universidade Nova de Lisboa. Since 2004, he has been affiliated with USC, progressing from Isidro Parga Pondal research fellow to Ramón y Cajal research fellow, and ultimately to his current position as Full Professor. His research focuses on Natural Language Processing and Information Extraction, with current projects centered on semantic relation extraction and the development of hybrid language models (neuro-symbolic) applied to sentiment analysis and disinformation detection. His work spans machine learning, language technologies, and trustworthy AI, with a particular emphasis on Galician language processing. Gamallo has led numerous research projects including iRead4Skills, HYBRIDS, LingUMT, DeepR3.gal, and Big-eRisk, demonstrating his commitment to advancing language technologies for both academic and practical applications. His recent publications reveal a strong focus on Galician language models, neural machine translation, and the development of resources for low-resource languages. The research trends show an evolution from dependency parsing and lexical normalization toward contemporary challenges in large language models, sentiment analysis, and cross-lingual transfer learning, particularly for Romance languages and Galician specifically. As an entrepreneur in the field, Gamallo is the promoter and founding partner of Cilenis, a USC spin-off specializing in language technologies, and serves as the main developer of linguistic software tools including Linguakit and Avalingua. His contributions to the field extend beyond academia into practical applications that support language preservation and technological accessibility.

Marius AlbiezView profile

Researcher

• Sustainability Research
• Real-World Laboratory Research
• Sustainable Energy Transition
• +2 more

Marius Albiez is a Researcher at the Karlsruhe Institute of Technology (KIT) , affiliated with the Karlsruhe Transformation Center for Sustainability and Cultural Change. His work bridges sustainability research, real-world laboratory experiments, and transdisciplinary science, focusing on energy transition, urban sustainability, and participatory methods. Education: Geoecology at KIT (2007–2013). His research emphasizes Education for Sustainable Development , knowledge transfer, and citizen dialogue in real-world labs. Recent projects include Mobile Futurium , KARLA , and openTA , exploring sociotechnical systems and inclusive energy policies. Scientific awards and student advising are not explicitly mentioned in the provided texts. His collaborations span institutions like the University of Tübingen and the Helmholtz Association, with a focus on transformative urban energy experiments and climate action.

Dorota GoluchView profile

Senior Lecturer

• Translation Studies
• Postcolonial Studies
• Holocaust Memory
• +2 more

Dr Dorota Goluch is a Senior Lecturer at the Cardiff University , School of Modern Languages, specializing in translation studies with a focus on postcolonialism, Holocaust memory, and solidarity discourses. She has taught modules including Introduction to Translation Theory, Advanced Translation Practice, and Specialized Translation: Politics and Law. PhD from University College London (2013), funded by AHRC Master’s in Postcolonial Studies (University of Kent) M.A. in English Philology (Jagiellonian University) Exchange year at Ludwig-Maximilians-Universität Munich Research spans: Polish reception of postcolonial literature (1970–2010), analyzing over 1000 reviews Translation practices in Holocaust memorial museums Theory of solidarity in translation studies Translation of African and Caribbean literature into Polish Articles focus on translation strategies, cultural discourses, and postcolonial memory construction. She co-supervised eight PhD projects and co-authored the online course 'Working with Translation' (run since 2016). Honors include the Enriching Student Lives award (2016). Scientific Awards : Enriching Student Lives award (2016) Advising : Currently supervises four PhD students on topics ranging from fan translation to Welsh-Chinese translation sociologies. She has co-supervised projects on translation sociology, localization, and bilingualism.

Beata MegyesiView profile

Professor

• Computational Linguistics
• Historical Cryptology
• Artificial Intelligence in Humanities
• +3 more

Beata Megyesi is a Professor of Computational Linguistics at Stockholm University , leading groundbreaking work in Historical Cryptology and Digital Humanities . Her research bridges Artificial Intelligence with Philology to decode secret historical documents through projects like DESCRYPT (2025-2032) and DECRYPT (2018-2024), funded by Riksbankens Jubileumsfond and Vetenskapsrådet . Current Chair of Swedish Research Council's Linguistics Review Group (2024-2025) Director of the international Master's Program in AI and Language Advisor to PhD candidates Micaella Bruton and Crina Tudor Research Focus includes: Automatic analysis of 17th-19th century ciphers with AI Development of Linked Open Data infrastructure for cryptology Decryption of papal and diplomatic correspondences from 1500-1965 Creation of HistCorp multilingual historical corpus collection Key Collaborations span institutions in Sweden, Norway, Spain, Germany, Hungary, and the USA , with notable projects like DECODE2LOD and Swe-CLARIN . Her lab has pioneered automated key extraction and neural network-based alignment of encrypted manuscripts to plaintext.

Serap ÇAKAR KAMANView profile

Assistant Professor

• Computer vision
• Deep learning
• Object detection
• +6 more

Serap ÇAKAR KAMAN is an Assistant Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. She has maintained a continuous academic career at the university since 2000, progressing from Research Assistant to Lecturer and finally to Assistant Professor. Her educational background includes: Doctorate in Electrical Engineering (2003-2009) from Sakarya University Institute of Science with thesis on "DIGITAL IMAGE WATERMARKING METHODS BASED ON MOMENT-BASED NORMALIZATION" Master's in Computer and Information Engineering (2000-2003) from Sakarya University Institute of Science with thesis on "DETECTING, TRACKING AND TARGET IDENTIFICATION OF OBJECT MOVEMENTS ON VIDEO IMAGES" Bachelor's in Electrical-Electronics Engineering (1996-2000) from Sakarya University Faculty of Engineering Dr. ÇAKAR KAMAN's research spans multiple domains within computer vision and artificial intelligence, with particular expertise in object detection, deep learning applications, and image processing. Her work bridges theoretical computer vision with practical applications in industrial automation, medical imaging, and electric vehicle technology. She has made significant contributions to metal surface defect detection, autonomous charging systems, and facial expression recognition for healthcare applications. Her research demonstrates a consistent pattern of applying advanced computer vision techniques to solve real-world problems across diverse domains. Analysis of her publication trends reveals a clear evolution from foundational work in digital image watermarking to cutting-edge applications of deep learning in industrial settings. Her recent publications (2023-2025) focus on practical implementations in agricultural technology (hazelnut kernel analysis), business intelligence (employee feedback analysis), and marine infrastructure (shore-to-ship charging). The consistent thread through her research is the development of robust computer vision algorithms that enhance automation and precision in various technical contexts. With an H-index of 4 in Web of Science and 114 citations, Dr. ÇAKAR KAMAN maintains an active research profile. Her academic contributions include teaching in the Department of Computer Engineering and likely supervision of graduate students, though specific student information isn't documented in the available materials. Her work contributes significantly to Sakarya University's research profile in computer engineering and supports Turkey's growing expertise in artificial intelligence applications. Her laboratory work appears to focus on computer vision systems with emphasis on real-time processing applications. The research groups she participates in likely include teams working on industrial automation, electric vehicle infrastructure, and medical image analysis, though specific team structures aren't detailed in the available information.

Caroline PetitView profile

Researcher

• History of Medicine
• Biological Psychiatry
• HIV/AIDS Research
• +2 more

Caroline Petit is a CNRS Researcher at the Cavaillès Center (USR 3608-République des Savoirs), a joint unit of CNRS, École Normale Supérieure, and Collège de France. Her work bridges historical scholarship with contemporary medical research, focusing on the articulation between scientific discovery and clinical practice in biological psychiatry and HIV/AIDS. Trained as a biologist, she previously researched HIV replication and triple therapy side effects at the Pasteur and Cochin Institutes. She then worked in science communication at Inserm and science-society relations at IHEST (2008-2010, 2016-2019) before joining the Cavaillès Center for historical research on infectious theories of mental illness and HIV/AIDS. Caroline Petit's research investigates the historical interplay between medical science and clinical practice, with dual foci on biological psychiatry and HIV/AIDS. She traces the century-long persistence of the infectious hypothesis in mental illnesses—particularly schizophrenia—examining how it challenges boundaries between constitutional/accidental, psychic/organic, and exogenous/endogenous factors. Her work connects historical analysis with contemporary microbiota research. Additionally, she studies the history of AIDS through Dr. Leibowitch's clinical archives, highlighting the dynamic relationship between scientific discovery and medical application. Her research interests span History of Medicine, Biological Psychiatry, HIV/AIDS Research, History of Science, and Science and Society. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: The text does not provide details about students advised or research grants obtained by Dr. Petit. Labs and Teams: Her research is based at the Cavaillès Center and utilizes the archives of Dr. Leibowitch, an AIDS clinician. No specific laboratory facilities or team structures are described in the source material.

Marco CuturiView profile

Professor

• Machine Learning
• Optimal Transport
• Statistics
• +3 more

Marco Cuturi is a Professor of Statistics at ENSAE (École Nationale de la Statistique et de l'Administration Économique), part of Institut Polytechnique de Paris, where he has been affiliated since 2016, working part-time since 2018. He is also a CREST Permanent Member and a Research Scientist at Apple ML Research in Paris, having previously worked at Google Brain from 2018 to 2022. His academic journey includes positions as an Associate Professor at Kyoto University's Graduate School of Informatics (2010-2016), a lecturer at Princeton University's ORFE department (2009-2010), and postdoctoral research at the Institute of Statistical Mathematics in Tokyo (2005-2007). Dr. Cuturi earned his Ph.D. from École des Mines de Paris in 2005 and holds a master's degree from ENS Cachan, having graduated from ENSAE in 2001. His research centers on the application of optimal transport theory to machine learning and statistics, with significant contributions to computational optimal transport, kernel methods, and time series analysis. His influential work includes the development of the Sinkhorn distance for fast computation of optimal transport, soft-DTW for time series alignment, and various applications of optimal transport in machine learning. His research program explores how geometric structures can be leveraged in statistical learning, with recent work focusing on entropic optimal transport solvers, Gromov-Wasserstein distances, and applications to single-cell biology and multimodal learning. Dr. Cuturi's publications reveal a consistent trajectory of developing theoretically grounded yet computationally efficient methods that bridge optimal transport theory with practical machine learning applications across diverse domains including computer vision, natural language processing, and computational biology. Among his professional recognitions is a Notable Paper Award at AISTATS 2020 for his work on regularization in optimal transport. He serves as an Associate Editor for JMLR and has held senior area chair positions at NeurIPS and ICML. Dr. Cuturi has organized major machine learning events including the Machine Learning Summer School in Kyoto (2012, 2015) and co-organized workshops on optimal transport at major conferences. Dr. Cuturi has supervised numerous doctoral students including Nina Vesseron, Théo Uscidda, Charlotte Bunne, and Othmane Sebbouh, with research spanning optimal transport applications in generative modeling, representation learning, and biological data analysis. His current research group at ENSAE and Apple continues to push the boundaries of optimal transport methodology and its applications to cutting-edge machine learning problems.

• Historical Geography
• Geoarchaeology
• Cultural Transfers
• +3 more

Anca Dan is an Associate Professor in Ancient Sciences at the École Normale Supérieure (ENS) under the University of Paris Sciences & Lettres, with additional roles as a Research Fellow at CNRS (UMR 8546, AOROC). She serves as Director of the Center for Middle Eastern and Mediterranean Studies at Babeș-Bolyai University (Cluj-Napoca, Romania) and coordinates the national program "Humanities in the Text" (ENS-Ministry of Education-APLAES-CNARELA). Her affiliations include the French School of Athens, Labex TransferS, and the Deutsches Archäologisches Institut. Research Interests focus on: Historical geography of the Mediterranean and Black Sea regions Geoarchaeological analysis of ancient landscapes Cultural transfers between Greco-Roman, Iranian, and Central Asian civilizations Reconstructions of paleoenvironments using interdisciplinary methods Ethnographic representations in antiquity Cosmography and cartographic thought from antiquity to the 19th century Recent Publications reflect transdisciplinary approaches combining classical sources, archaeological data, and geoscience methodologies. Key topics include: Mediterranean-Black Sea environmental resilience Interpretation of ancient geographical concepts Cultural syncretism in Bactrian silverware Historical geography of Ottoman harbors Human-environment interactions in deltaic regions Scientific Awards : Prix Lettres de la Chancellerie de l’Académie de Reims (2010) Fondation pour la Vocation fellowship (2007) DAAD boursière, Universität zu Köln (2019) Onassis Postdoc fellowship, National Foundation for Research, Athens (2009) Mention Très honorable avec félicitations du jury, Université de Reims (2009) Academic Training : PhD in Greek Studies (Ancient Sciences, UMR AOROC, Université de Reims, 2009). Trained at École Normale Supérieure (1998-2004), Université de Paris IV-Sorbonne (Master’s in Classical Literature), and Universitatea București (Master’s in Classical Literature).

• Mathematical Analysis
• Partial Differential Equations
• Variational Methods
• +3 more

Simone Dovetta is an Associate Professor of Mathematical Analysis at the Department of Mathematical Sciences "GL Lagrange" (DISMA) at the Polytechnic University of Turin. His academic work spans multiple engineering colleges including the College of Electrical and Energy Engineering and the College of Mechanical, Aerospace and Automotive Engineering, where he teaches Mathematical Analysis II and other mathematics courses across various academic years. Dr. Dovetta's primary research focuses on Partial Differential Equations, Variational Methods, and Singular Perturbations in non-standard domains. His work falls under the Mathematical Analysis discipline (MATH-03/A) with expertise in analysis, ODE and dynamical systems, operator algebras, and theoretical aspects of partial differential equations. He is a member of the Nonlinear Analysis and Calculus of Variations research group at DISMA, focusing on the Theoretical Analysis of Mathematical Models with Singularities for Interaction Phenomena. His recent scholarly output demonstrates a concentrated research trajectory in nonlinear Schrödinger equations on metric graphs, exploring ground states, normalized solutions, and singular perturbations. The publications reveal sophisticated mathematical techniques applied to problems with physical relevance, particularly in understanding wave propagation and quantum phenomena on network structures. His work often employs variational methods to establish existence, multiplicity, and qualitative properties of solutions to these challenging nonlinear problems. Dr. Dovetta serves as Scientific Director of the NoDES (Nonlinear dispersive equations in presence of singularities) project, a National Research initiative funded through PRIN (2023-2025). While specific grant details aren't provided in the text, this leadership role indicates significant research funding and collaborative activity in his field. He is actively involved in teaching across multiple engineering disciplines, offering Mathematical Analysis II to students in Mechanical Engineering, Energy Engineering, and Automotive Engineering programs. His teaching portfolio also includes Fundamentals of Mathematics and Linear Algebra and Geometry, demonstrating versatility in delivering mathematical content to diverse engineering audiences.

Jafra D. ThomasView profile

Assistant Professor

• Physical Activity Promotion
• Public Health
• Knowledge Translation
• +5 more

Jafra D. Thomas serves as an Assistant Professor in the Kinesiology and Public Health Department at California Polytechnic State University (Cal Poly), San Luis Obispo. His academic work centers on advancing healthy and active lifestyles through evidence-based knowledge translation and equitable physical activity promotion frameworks. Education: Ph.D. in Kinesiology, Oregon State University (2019) M.P.H. in Health Promotion Health Behavior, Oregon State University (2017) M.A. in Health & Exercise Science (Sport Sciences), University of the Pacific (2014) Graduate Certificate in College and University Teaching, Oregon State University (2016) B.A. in Sport Sciences, University of the Pacific (2012) Diploma in General Education, Captain Charles M. Weber Institute (2008) Research Interests: Dr. Thomas investigates critical gaps in physical activity communication, specializing in health literacy, knowledge translation, and sociocultural barriers to equitable participation. His work employs mixed-methods approaches to evaluate material suitability, readability, and comprehension—particularly for vulnerable populations including individuals with disabilities and cancer survivors. Current projects address DEI implementation in exercise science, gender-inclusive pedagogy, and accessibility of digital health resources. Publication Trends: Recent scholarship (2023-2025) reveals three dominant trajectories: (1) rigorous analysis of physical activity material comprehension across diverse populations, (2) development of equity-focused communication frameworks addressing disability inclusion and cultural barriers, and (3) innovative pedagogical approaches for training health professionals in plain-language dissemination. His work consistently bridges academic research with practical implementation through student-led initiatives and practitioner collaborations. Scientific Awards: No scientific awards were documented in the provided materials. Advising and Grants: Dr. Thomas integrates mentoring through experiential learning, evidenced by student co-authorship on publications about accessibility case studies, DEI working groups, and concussion culture analysis. His grant activity focuses on curriculum development for health communication practicums and student-led health literacy workshops, though specific funding sources aren't detailed in the source text. Labs and Teams: Collaborative work is evident through IJES working groups on DEI implementation and student research brigades, but no dedicated laboratory facilities are specified. His approach emphasizes classroom-based research teams tackling real-world communication challenges in public health settings.