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Richelle Allen-KingView profile

Professor

• Contaminant Transport in Groundwater
• Hydrogeochemistry
• Organic Contaminants
• +5 more

Richelle Allen-King serves as Professor and Director of Graduate Studies in the Department of Earth Sciences within the College of Arts and Sciences at the University at Buffalo. Her academic career centers on hydrogeochemistry and environmental geochemistry, with specialized expertise in contaminant transport processes in groundwater systems. Her educational background includes: PhD in Earth Sciences (Hydrogeology) from the University of Waterloo (1991) Dr. Allen-King's research focuses on understanding the fate and transport of contaminants in groundwater , particularly organic pollutants like chlorinated solvents and nutrients. She integrates field measurements, laboratory experiments, and numerical modeling to investigate critical processes including sorption, diffusion, and biotic/abiotic degradation in heterogeneous aquifers. Her work addresses fundamental limitations in predicting natural attenuation and designing effective remediation strategies for contaminated sites, with significant contributions to understanding nonlinear sorption in low-organic-carbon sediments and aquifer heterogeneity effects. Analysis of her publication record reveals three dominant research trajectories: (1) Advanced characterization of chlorinated solvent behavior in sedimentary rock aquifers , particularly diffusion and degradation processes in low-permeability media; (2) Investigation of nutrient transport dynamics in watersheds with applications to Lake Erie eutrophication; and (3) Development of educational frameworks for early-career geoscientists. Her recent work increasingly incorporates high-fidelity modeling of heterogeneous systems and field validation at research sites like the Borden Aquifer. Her research is supported by major external funding including: SERDP Project ER-2533: Developing field methods for quantifying chlorinated solvent diffusion and degradation in low-permeability media NSF IGERT ERIE grant: Fostering interdisciplinary training in ecosystem restoration Dr. Allen-King has mentored 14 graduate students to completion, with alumni now working as hydrogeologists at firms including Geosyntec Consultants, Leggette Brashears & Graham, and Intera Inc. She teaches advanced courses in environmental geochemistry and supervises thesis research focused on contaminant hydrology. Her laboratory investigations frequently involve collaborative field work at the Borden Aquifer research site in Ontario, Canada, where she examines lithofacies controls on contaminant transport properties.

• Political behavior
• EU studies
• Public opinion
• +6 more

Thomas Karv is an Associate Professor of Political Science at Mid Sweden University in Sundsvall, where he has served as Senior Lecturer since February 2022 and was promoted to Associate Professor in autumn 2024. He currently holds the position of program manager for the Social Sciences Program and is on research leave throughout 2025. He earned his Doctor of Political Science from Åbo Akademi University in Vaasa, Finland, in 2019, with a dissertation focused on public opinion toward the European Union. Dr. Karv's research centers on political behavior , EU studies , and democratic innovations , with specialized expertise in referendum effects, mandate accumulation among politicians, and Eastern European political attitudes. His work frequently examines how political events shape public trust through survey experiments and comparative analysis, particularly in Nordic and post-communist contexts. Analysis of his 2021-2025 publications reveals consistent focus on local referendum dynamics and multiple-mandate holding, often in collaboration with Fredrik Malmberg. His research demonstrates methodological diversity through survey experiments, case studies, and cross-national comparisons, with geographic emphasis on Finland, Sweden, and EU post-communist states. No scientific awards are documented in the available information. As Social Sciences Program manager, Dr. Karv oversees curriculum development while teaching international politics, social science methods, and EU knowledge courses. His research leave in 2025 suggests active grant-supported projects, though specific funding details aren't provided. He maintains strong institutional engagement through editorial work including the 2022 volume Svenskfinland i Pandemitider . No dedicated laboratory or research team infrastructure is mentioned in the source materials.

Naime DoğanView profile

Lecturer

• English Language Teaching
• TESOL
• Curriculum Development
• +2 more

Naime Doğan serves as a Lecturer at the School of Languages (ScOLa), Özyeğin University, where she teaches English language courses. She holds a Master's degree in Curriculum and Instruction from Bilkent University (2014) and a Bachelor's degree in American Culture and Literature from Istanbul University (2011), complemented by a Canadian TESOL certification. Her research focuses on practical applications in language education, with core interests including: English Language Teaching methodologies TESOL curriculum design Second language acquisition strategies Applied linguistics in classroom settings Cross-cultural communication in education Prior to joining Özyeğin University, she gained extensive experience teaching English at primary and middle school levels in private Turkish institutions, shaping her approach to language pedagogy. Her professional trajectory demonstrates consistent specialization in English language instruction across educational levels. No scientific awards or honors are documented in available sources. There is no evidence of graduate student supervision, research grants, or laboratory affiliations in her current role at the School of Languages.

Kevin S. LaBarView profile

Professor

• Cognitive Neuroscience
• Emotional Memory
• Fear Conditioning
• +8 more

Kevin S. LaBar is Professor of Psychology and Neuroscience and Professor in Psychiatry and Behavioral Sciences at Duke University's Trinity College of Arts & Sciences. He serves as Associate Director of the Center for Cognitive Neuroscience and maintains affiliations with the Duke Initiative for Science & Society, the Center for Brain Imaging and Analysis, and the Center for Cognitive Neuroscience. His academic journey began with a B.A. from Lafayette College in 1990, followed by a Ph.D. from New York University in 1996. Dr. LaBar's research focuses on understanding how emotional events modulate cognitive processes in the human brain. His laboratory aims to identify brain regions that encode the emotional properties of sensory stimuli and demonstrate how these regions interact with neural systems supporting social cognition, executive control, and learning and memory. His integrative approach utilizes psychophysiological monitoring, functional magnetic resonance imaging (fMRI), machine learning, and behavioral studies in both healthy adults and psychiatric patients. His work spans multiple domains including fear conditioning, emotional memory, emotion regulation, and the neural basis of emotional experience. His recent publications reveal a strong emphasis on emotional memory mechanisms, emotion regulation strategies across the lifespan, neural correlates of anxiety and fear, and developing neuroscience-informed interventions for emotional dysregulation. His research increasingly incorporates advanced neuroimaging techniques, computational approaches, and translational applications for clinical populations. Fellow, Association for Psychological Science (2010) Young Investigator Award, Cognitive Neuroscience Society (2005) CAREER Award, National Science Foundation (2003) Ralph E. Powe Junior Faculty Enhancement Award, Oak Ridge Associated Universities (2001) Young Investigator Award, National Alliance for Research on Schizophrenia and Depression (2000) Scholar of the Year Award, Lafayette College Alumni Association (1990) Dr. LaBar has secured substantial research funding, including multiple NIH grants and VA awards, with projects spanning from basic emotion research to clinical applications for conditions like PTSD, depression, and misophonia. His laboratory has trained numerous graduate students and postdoctoral fellows who have gone on to successful careers in academia and research. His work bridges cognitive neuroscience with clinical applications, particularly in developing neurostimulation-enhanced behavioral interventions for emotion dysregulation.

• Human-Computer Interaction
• Design
• Interactive Systems
• +4 more

Pengcheng An is an Assistant Professor at the School of Innovation and Creative Design at Southern University of Science and Technology (SUSTech) in Shenzhen, China. His research sits at the intersection of Design and Human-Computer Interaction (HCI), focusing on the design and implications of intelligent interactive systems in everyday contexts such as smart classrooms, offices, and other learning environments. Education: Ph.D. in Industrial Design, Eindhoven University of Technology, Netherlands Postdoctoral Research, Eindhoven University of Technology Postdoctoral Research Fellow and Sessional Lecturer, School of Computer Science, University of Waterloo, Canada An's research interests center on creating interactive systems that enhance learning, education, and support for children, families, and underprivileged groups. His work explores how emerging technologies like IoT, intelligent systems, and multimodal interfaces can be seamlessly integrated into real-world settings to improve user experiences without disrupting natural workflows. He particularly focuses on peripheral and unobtrusive interaction techniques that support busy practitioners like teachers and healthcare workers. His publication record demonstrates consistent contributions to top-tier HCI venues, with a focus on educational technology applications, assistive systems, and novel interaction techniques. The research trajectory shows increasing sophistication in understanding real-world deployment challenges and developing solutions that respect existing workflows while providing meaningful augmentation. Scientific Awards: Best Paper Honorable Mention Award (ACM CHI) Reviewers' Choice Award (INTERACT) Red Dot Design Award: Best of the Best (twice) iF Design Talent Award An serves as an active member of the HCI community, having been Associate Chair for the "Learning, Education, and Family" track at ACM CHI since 2021. He has secured research funding including a National Social Science Fund Youth Project exploring AI technology in art therapy for special children. His service extends to reviewing for major conferences (CHI, DIS, TEI, IDC) and journals (Behavior & Information Technology, Experimental Results). His laboratory work focuses on real-world deployments of interactive systems, particularly in educational settings, where he collaborates with teachers and students to develop and evaluate technologies that support learning without disrupting classroom dynamics.

John RehbeckView profile

Associate Professor

• Revealed Preferences
• Microeconomic Theory
• Experimental Economics
• +3 more

John Rehbeck serves as Associate Professor of Economics at The Ohio State University, joining the Department of Economics in fall 2017. His research bridges microeconomic theory with empirical applications, focusing on revealed preference frameworks and experimental methodology. Educational background: Ph.D. in Economics, University of California, San Diego Rehbeck's work centers on revealed preference theory , investigating how observed choices reveal underlying preferences through rigorous theoretical modeling and experimental validation. He develops advanced econometric techniques for testing rationality axioms and measuring choice consistency, while exploring behavioral phenomena like nontransitive preferences and stochastic choice patterns. His methodological innovations address real-world complexities including menu-dependent decision rules and latent utility structures. Analysis of his 15 most recent publications (2022-2025) reveals three dominant trajectories: (1) Theoretical extensions of revealed preference frameworks incorporating permutation invariance and Bayesian updating; (2) Computational advances using integer programming for goodness-of-fit measurement; (3) Experimental investigations into value integration and risk preferences. Published in top journals including Econometrica , his work demonstrates consistent progression from foundational theory to market applications like cement industry analysis.

Daphna HarelView profile

Associate Professor

• Survey Methodology
• Measurement Theory
• LGBTQIA+ Data Analysis
• +6 more

Daphna Harel (she/her) serves as Associate Professor of Applied Statistics and Director of the A3SR MS Program within the Department of Applied Statistics, Social Science, and Humanities at New York University's Steinhardt School of Culture, Education, and Human Development. She holds leadership roles including PI of the NYU QUEER data lab and membership on the steering committee for the DEPRESSD project. Education: PhD in Mathematics and Statistics from McGill University Harel's research focuses on measurement challenges in survey methodology, particularly for self-reported questionnaires in health and social sciences. Her work bridges theoretical statistics with practical applications in LGBTQIA+ data collection, differential item functioning, and patient-reported outcomes. She develops methodological frameworks for polytomous Item Response Theory and creates guidelines for statistical analysis of complex survey data. Her recent work emphasizes improving statistical practice for LGBTQIA+ populations and advancing queer data collection methods. Her publication portfolio demonstrates consistent focus on measurement validity across diverse health contexts, with recent work expanding into LGBTQIA+ data science. Her research shows increasing emphasis on methodological innovations for gender and sexuality measurement, with multiple publications presented at major conferences including AAPOR 2024 and LGBTQ+ Health Conference 2024. Research Leadership: PI of NYU QUEER data lab (founded Fall 2022) Steering committee member for DEPRESSD project Collaborator with Scleroderma Patient-centered Intervention Network Recipient of NIH R21 funding and NYU intramural grants Harel mentors a diverse team of graduate students through the Applied Statistics for Social Science Research program, focusing on inclusive research methods for marginalized populations. Her grant portfolio includes investigations into transgender voice training, LGBTQIA+ survey methodology, and healthcare access for gender-affirming services. Laboratory Leadership: As founder and PI of the NYU QUEER data lab, Harel leads research projects examining survey question design for gender/sexuality measurement, content moderation effects on hate speech, and accessibility of transgender voice training. The lab operates through collaboration between NYU Steinhardt and the NYU BITS lab, with research assistants drawn from the Applied Statistics MS program.

• Human-Computer Interaction
• Geographic Information Science
• Virtual Reality
• +7 more

Johannes Schöning is a Professor of Human-Computer Interaction at the University of St. Gallen, where he leads a research group focused on developing novel user interfaces that empower individuals and communities with data-driven decision capabilities. His work bridges rapidly advancing technologies with human needs across diverse contexts including geographic information science, public health, medical applications, and extreme environments such as space missions. He publishes extensively at premier HCI venues including ACM CHI, MobileHCI, and DIS, as well as in interdisciplinary journals like NATURE and PLOS ONE. Professor Schöning's research interests center on understanding the interplay between technology and human activities through rigorous methods from AI, computer graphics, and cognitive psychology. His work emphasizes user-centered design methodologies and mixed methods approaches to create interfaces that fit both technological possibilities and human requirements. Key focus areas include virtual and augmented reality applications, accessibility solutions, navigation technologies, and the social implications of digital interfaces in everyday life. His research mission prioritizes theoretical and practice-based inquiry to develop disruptive solutions for real-world problems. Analysis of his recent publications reveals strong trends in virtual reality applications for emotional regulation and accessibility, with increasing emphasis on generative AI integration, environmental awareness, and space-related HCI challenges. His work consistently demonstrates interdisciplinary collaboration across computer science, psychology, geography, and medical fields, with publications showing growing interest in social implications of technology, particularly regarding navigation systems and their externalities. His scientific contributions have been recognized with numerous awards including: Best Presentation Award at IEEE VR 2023 Best Paper Award & Accessibility Award at Interact 2019 10 Year Impact Award 2021 Multiple Honorable Mention Awards at top conferences Professor Schöning actively mentors students across bachelor, master, and PhD levels, with his lab seeking candidates interested in the intersection of HCI, geoinformatics, and ubiquitous computing technologies. He emphasizes creating a 'detox-free academic environment' that focuses on meaningful teaching and research outcomes rather than academic pressures. His group frequently collaborates with international researchers and institutions on projects spanning medical applications, space exploration interfaces, and public health technologies. The research laboratory led by Professor Schöning maintains strong interdisciplinary connections across multiple domains. Current projects include developing AI-powered wearables for blind and low vision users, exploring VR applications for emotional regulation, investigating navigation technologies' social impacts, and creating interfaces for space mission contexts. The lab's work on CubeSat control software and plant visualization for space greenhouses demonstrates their unique focus on extreme environment applications, while their research on citizen participation through generative AI shows engagement with contemporary societal challenges.

Julia Karolle-BergView profile

Professor

• German Literature
• Crime Fiction
• Detective Novels
• +3 more

Julia Karolle-Berg serves as Professor and Chair of the Department of Classical and Modern Languages and Cultures within John Carroll University's College of Arts and Sciences, where she has been a faculty member since 2002. A native of Michigan with extensive international experience in Germany and Switzerland, she holds leadership responsibilities while maintaining active scholarly engagement. Education: M.A., University of Wisconsin - Madison Ph.D., University of Wisconsin - Madison Research Focus: Professor Karolle-Berg specializes in German literary studies with concentrated expertise in early twentieth-century crime and detective fiction. Her work critically examines the development and reception of Kriminalroman traditions during the Weimar Republic era (1919-1933), challenging established assumptions about the absence of German-speaking crime fiction traditions. She investigates subgenres like Familienkrimi (family crime fiction) and analyzes authors including Friedrich Glauser, particularly his Jakob Studer detective series. Publication Trends: Her recent scholarship (2015-2018) demonstrates consistent focus on reassessing German crime fiction's historical trajectory through multiple methodological angles—textual analysis, reception history, and cultural studies. These works collectively reconstruct a previously overlooked literary tradition while examining genre popularity dynamics and authorial contributions within their sociohistorical contexts. Scientific Recognition: Lucrezia Culicchia Award for Teaching Excellence (2010) from the JCU College of Arts and Sciences Academic Service: Served as Director of the Honors Program from 2011-2015, demonstrating institutional leadership beyond departmental chair responsibilities. Office hours indicate active student engagement with flexible availability including Zoom options. Professional Context: Maintains standard faculty office operations in O'Malley Center 133 with Spring 2023 office hours documented, reflecting current active status without indication of research teams or laboratory facilities.

Robyn MallettView profile

Professor

• Social Psychology
• Intergroup Relations
• Prejudice Reduction
• +5 more

Robyn Mallett is a Professor of Social Psychology and serves as the Vice Provost for Academic Programs and Planning at Loyola University Chicago, where she is a core faculty member in the Department of Psychology. Her leadership extends across academic administration and research innovation within the university structure. Her educational background includes: Post-Doctorate Fellowship at the University of Virginia Doctorate in Social Psychology from The Pennsylvania State University Master's in Psychology from The Pennsylvania State University Bachelor's in Psychology from the University of Alaska Anchorage Professor Mallett's research examines how individuals navigate social worlds through the lens of bias confrontation, intergroup relations, and environmental behavior. She investigates why people confront prejudice (particularly sexism), how expectations shape intergroup interactions, and how identity-focused interventions can promote sustainable behavior. Her methodological approach combines high-impact lab studies, daily diary research, and qualitative analysis of real-time interactions. Analysis of her recent publications (2021-2025) reveals three dominant trends: 1) The complex dynamics of bias confrontation—especially how humor mitigates perceived sexism and affects confrontation outcomes; 2) Interventions to foster belonging and retention for underrepresented faculty; 3) Identity-based environmental campaigns that reduce resource consumption without technological fixes. Her work consistently bridges theoretical social psychology with actionable social change. Professor Mallett has secured significant research funding, including a Russell Sage Foundation grant for her intergroup forecasting error research. She has co-edited influential volumes such as Confronting Prejudice and Discrimination (2019) and Moving Beyond Prejudice Reduction (2011), demonstrating her leadership in translating psychological science into practical frameworks. She leads an active research laboratory that conducts field experiments on campus sustainability initiatives and collaborates with Loyola's Institute for Environmental Sustainability. Current projects focus on faculty mentoring frameworks and the civic impact of intergroup dialogue, reflecting her commitment to applying psychological insights to institutional challenges.

Valentina KRACHMALNICOFFView profile

Researcher

• Nanophotonics
• Plasmonics
• Near-field Optics
• +5 more

Valentina KRACHMALNICOFF is a CNRS Research Scientist at Institut Langevin, affiliated with ESPCI Paris and PSL University. She joined the institute in 2012 after completing her postdoctoral fellowship there in 2010. Her research focuses on experimental nanophotonics, particularly studying near-field interactions between fluorescent nano-emitters and nanostructured plasmonic or dielectric materials. Dr. KRACHMALNICOFF obtained her PhD from University Paris-Sud in 2009 with a thesis on quantum atom optics experiments supervised by Alain Aspect and Charles Westbrook. Her research interests span experimental nanophotonics with plasmonic and dielectric media, near-field optical microscopy with fluorescent nanoprobes, quantum optics applications, and the study of electromagnetic local density of states. She has developed expertise in fluorescence intensity and decay rate measurements of nano-objects grafted on scanning probe microscope tips, as well as nano-manipulation techniques. Her work bridges fundamental physics with potential applications in quantum technologies, biosensing, and thermal management at the nanoscale. She frequently employs super-resolution imaging techniques to overcome diffraction limits in optical measurements. Analysis of Dr. KRACHMALNICOFF's recent publications reveals a strong methodological evolution toward increasingly sophisticated combinations of experimental techniques with theoretical modeling. Her work consistently focuses on probing light-matter interactions at the nanoscale, with growing integration of biophysical approaches. The publications demonstrate expertise in thermal radiation at nanoscale distances, plasmonic and dielectric nanostructures, and super-resolution fluorescence lifetime imaging. Her research shows a trajectory from fundamental near-field optics toward applications in quantum information and biosensing. Dr. KRACHMALNICOFF has received notable scientific recognition: 2017: CNRS Bronze Medal for her pioneering work in nanophotonics 2007: L'Oréal France - UNESCO "For Women in Science" Prize Dr. KRACHMALNICOFF actively mentors doctoral students and postdoctoral researchers. Current advisees include Guillaume Blanquer and Dorian Bouchet (PhD candidates) and Vivien Loo (postdoctoral researcher). Former students include Da Cao and Etienne Castanié. Her research is supported by CNRS funding and collaborative grants with other institutions, evident from her extensive co-authorship network spanning theoretical physicists, materials scientists, and optical engineers. Dr. KRACHMALNICOFF leads an experimental research team at Institut Langevin specializing in nanophotonics. Her laboratory features advanced near-field optical microscopy capabilities, fluorescence lifetime imaging systems, and nano-manipulation setups. The team collaborates closely with other researchers at Institut Langevin, including Yannick De Wilde (CNRS Research Director) and Ignacio Izeddin (Associate Professor at ESPCI), forming a cohesive research group focused on light-matter interactions at the nanoscale.

Fabian-Xosé FernandezView profile

Associate Professor

• Circadian Rhythms
• Sleep Science
• Suicide Risk Assessment
• +3 more

Fabian-Xosé Fernandez serves as Associate Professor in the Department of Psychology within the College of Science at the University of Arizona, where he directs the Circadian Trends Laboratory. His research program bridges neuroscience, clinical psychology, and public health through investigations of circadian biology and sleep-wake patterns. His primary research interests focus on circadian fluctuations in real-world data , psychology of nighttime wakefulness , and suicide risk mechanisms . Key investigations explore how nocturnal wakefulness correlates with suicidal ideation, homicide risk, and metabolic dysregulation. His work employs National Violent Death Reporting System analyses Controlled circadian phase-shifting experiments Population-level sleep surveys Translational rodent models Recent publications reveal strong temporal patterns in behavioral health outcomes, with suicide risk peaking during circadian night across diverse populations. His lab develops chronotherapeutic interventions including spectral filtering devices and lighting protocols to optimize circadian alignment. Current work examines how blue-light modifiers affect phase-shifting responses and how sleep disruption mediates psychiatric outcomes in bipolar disorder. Fernandez teaches graduate and undergraduate courses including PSY 350 (Sleep/Wake, Time Cycles, & Life) and PSY 578 (Sleep & Sleep Disorders), with recent instruction through 2025. His academic service includes editorial review for journals like Clocks & Sleep and Neuropsychopharmacology.

Baihua LiView profile

Professor

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +9 more

Professor Baihua Li is a Professor of Computer Vision and Machine Learning in the Department of Computer Science at Loughborough University. She is a key member of both the Centre for Sensing and Imaging Science and the Vision, AI, Autonomous and Human Centred Systems Research Group. With over 15 years of research experience, her work spans multiple disciplines including healthcare, sports science, environmental protection, and food manufacturing. Her educational background includes a BSc and MSc in Electronic Engineering from Tianjin University, China (one of China's top 15 universities), followed by a PhD in Computer Science from Aberystwyth University, UK. Prior to joining Loughborough University in 2015, she served as a Lecturer and later Senior Lecturer at Manchester Metropolitan University. Professor Li's research focuses on developing novel AI and machine learning technologies with applications across diverse sectors. Her primary expertise lies in computer vision, pattern recognition, and signal/image processing. She has made significant contributions to human motion tracking and activity recognition, which have been applied in sports performance analysis, healthcare diagnostics, and robotics. Her work emphasizes practical applications that solve real-world problems, from improving football analytics to developing sandwich-making robots. Her research team has developed AI systems for air pollution prediction, upper-limb prosthesis control, autism spectrum condition diagnosis in adults, and retinal disease identification. She has also led projects involving intelligent drone logistics for medical supplies and agricultural robots for precision crop spraying. MSDUK Innovation Challenge Award under category Industry 4.0 in 2019 Made in the Midlands 2023 Food and Drink Award for the Millitec KTP project Professor Li has secured over £1.4 million in external funding in the last three years, with ongoing grants exceeding £1.2 million. She leads a research team comprising 6 Postdoctoral Research Associates and 7+ PhD students. Her projects include AI for sleep breathing disorder diagnosis (£540k), food manufacturing automation (£204k), football action event detection (£359k), air quality monitoring (£470k), and agricultural robotics (£500k). She serves as the Impact Coordinator for her department, emphasizing the transfer of research to industry for societal and economic benefits. She leads an active research team within the Centre for Sensing and Imaging Science and the Vision, AI, Autonomous and Human Centred Systems Research Group. Her laboratory work spans multiple application domains including sports analytics with Statmetrix, food manufacturing automation with Millitec, environmental monitoring through the Triple-Network Air Quality project, and agricultural robotics for precision farming. Her team has developed the i-Gene delta robot that produces 750,000 sandwiches daily for a UK factory, addressing industry skills shortages.

• Hospital Medicine
• Diagnostic Error Reduction
• Antibiotic Stewardship
• +5 more

Dr. Valerie M. Vaughn is a tenured Associate Professor in the Department of Internal Medicine at the University of Utah. She serves as Director of Clinical Research and holds the Bertram H. and Janet M. Schaap Presidential Endowed Chair. Dr. Vaughn is a national leader in hospital medicine, focusing on reducing diagnostic error and curbing antibiotic overuse during transitions of care. Her collaborative work spans physician decision-making, cognitive error, organizational culture, and quality measure development. Education: MD from University of Michigan, MS in Health and Health Services Research Her research, supported by the Agency for Healthcare Research and Quality, National Academy of Medicine, CDC, PCORI, and Moore Foundation, emphasizes patient safety and value-based healthcare. Dr. Vaughn leads the Antimicrobial Use Initiative within the Michigan Hospital Medicine Safety Consortium and directs the Utah Quality Advancement Laboratory (UQuAL), which trains future healthcare leaders through its Scholars program and Hospitalist team. Recent publications highlight her expertise in diagnostic stewardship, antibiotic overuse, and infection management across diverse clinical contexts. Trends in her work include systematic approaches to antimicrobial use, policy evaluation, and interdisciplinary collaboration. Scientific Awards: Society of Hospital Medicine Fellow (SFHM), American College of Physicians Fellow (FACP), Bertram H. and Janet M. Schaap Presidential Endowed Chair Dr. Vaughn's grants from AHRQ, CDC, NAM, PCORI, and Moore Foundation fund her work in patient safety. She mentors trainees through UQuAL Scholars and leads national collaborations like the ROAD home trial to reduce antibiotic overuse at discharge. Her leadership roles include directing clinical research and quality initiatives.

Giulia RubinoView profile

Lecturer

• Indefinite Quantum Causality
• Integrated Photonics Technologies
• Quantum Thermodynamics
• +5 more

Dr. Giulia Rubino is a Royal Commission 1851 Fellow and Proleptic Lecturer in the School of Physics at the University of Bristol. Her academic credentials include a BSc, MSc, and PhD, establishing her expertise in quantum physics and related disciplines. She maintains an active research presence with numerous publications and collaborations across international institutions. Dr. Rubino's educational background, though not detailed in specific institutions, demonstrates a strong foundation in physics through her BSc, MSc, and PhD qualifications. Her career progression has led to her current prestigious position at the University of Bristol, where she contributes significantly to quantum research. Her research program spans three interconnected pillars: Indefinite Quantum Causality , where she explores how causal structures might need to be both dynamic (as required by general relativity) and indefinite (due to quantum theory); Integrated Photonics Technologies , where she applies quantum optics principles to develop sophisticated photonic circuits; and Quantum Thermodynamics , where she addresses fundamental questions about defining work in quantum systems. Her work on indefinite causal structures challenges conventional space-time understanding, with significant implications for both foundational physics and quantum information processing. In experimental physics, she bridges quantum foundations and technologies through state-of-the-art photonic implementations. Her theoretical contributions to quantum thermodynamics address critical gaps in understanding work definitions for nanoscale quantum devices. Dr. Rubino's publication record reveals a clear research trajectory focused on quantum foundations and information processing. Her most recent work (2024-2025) shows increasing sophistication in quantum thermodynamics and causal structure experiments, with notable papers on quantum work fluctuation frameworks and quantum key distribution. The consistent theme across her publications is the exploration of quantum phenomena that challenge classical notions of causality, time, and thermodynamics, often with practical applications to quantum technologies. Her scientific recognition includes the prestigious Royal Commission 1851 Fellowship , awarded to exceptional early-career researchers with potential for significant contributions to their fields. This fellowship supports her innovative research at the University of Bristol and recognizes her standing in the quantum physics community. While specific student names aren't listed in the available information, Dr. Rubino's position as Lecturer suggests active involvement in mentoring graduate students. Her collaborative research approach is evident in her numerous co-authored publications with researchers from multiple institutions, indicating strong research networks. Her grant portfolio likely includes the Royal Commission fellowship and potentially other research council funding supporting her quantum physics investigations. Dr. Rubino is affiliated with the Quantum Engineering Technologies and Theoretical Physics research groups at the University of Bristol. Her work contributes to the university's strong reputation in quantum information science, particularly in the experimental realization of quantum phenomena that challenge conventional understanding of space-time and thermodynamics. She appears to be involved in sophisticated photonic circuit development and quantum information processing experiments that require specialized laboratory facilities.