جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Case-Based Reasoning
• Natural Language Processing
• +۳ مورد دیگر

Nirmalie Wiratunga is a Professor in Intelligent Systems at the School of Computing , Robert Gordon University, and serves as the Associate Dean for Research . She is also an Adjunct Professor at the Norwegian University of Science and Technology (IDUN program). Her academic excellence spans over two decades in Artificial Intelligence and Machine Learning , with a focus on Explainable AI (XAI) , Case-Based Reasoning (CBR) , and Natural Language Processing (NLP) . Her research explores innovative methodologies for knowledge-rich representations to automate decision-making through CBR for Retrieval-Augmented Q&A systems and human-centered AI platforms . She co-founded Attendr.app , a spinout for student and conference attendance tracking, and leads the Artificial Intelligence & Reasoning Research Group at RGU. Recent publications (2024–2025) highlight her work on LLM hallucination detection , counterfactual explanations in finance , cross-lingual biomedical review automation , and multi-query resolution in legal domains . Themes span AI explainability , NLP , CBR , and domain-specific knowledge integration across healthcare, law, and education. Her leadership extends to organizing international workshops on XAI , digital health , and Deep Learning , and co-chairing the ICCBR 2021 and 2022 conferences. She actively contributes to program committees for ECCBR , ECML/PKDD , and IJCAI .

Andrew J. Spenceمشاهده پروفایل

دانشیار

• Locomotor Neuromechanics
• Spinal Cord Injury
• Biomechanics
• +۱۴ مورد دیگر

Andrew J. Spence is an Associate Professor in the Department of Bioengineering at Temple University's College of Engineering, where he leads the Spence Lab focused on locomotor neuromechanics and spinal cord injury. His work integrates experimental biology, mathematical modeling, robotics, and molecular genetic tools to understand how animals move and how movement can be restored after injury. PhD in Applied and Engineering Physics, Cornell University Postdoctoral training at UC Berkeley with Bob Full and Eileen Hebets Former RCUK Fellow and faculty at the Royal Veterinary College, London Joined Temple University in 2013 His research interests center on the control of locomotion, gait analysis, spinal cord injury, neuroprosthetics, and the application of optogenetics and chemogenetics (DREADDs) in neuromuscular disorders. He also explores biomechanics in diverse species, from insects to racehorses, seeking general principles of movement. The 15 most recent publications reveal a strong trend toward integrating genetic tools with biomechanical analysis, particularly in rodent models of spinal cord injury. His work spans fundamental questions in animal locomotion and applied research in rehabilitation, with increasing emphasis on closed-loop systems, automated tracking, and neuromodulation. RCUK Tenure Track Research Fellowship W.M. Keck Foundation predoctoral fellowship Spence advises a multidisciplinary team of students and postdocs, collaborates with Professors Michel Lemay and George Smith on spinal cord injury projects, and leads NIH-funded research. His lab develops open-source tools for locomotion analysis and has contributed significantly to understanding stability, gait transitions, and sensory feedback in movement. He teaches courses in neuroengineering and biomechanics at both undergraduate and graduate levels. The Spence Lab is actively involved in developing neurogenetic interventions for spinal cord injury, studying gait adaptation in complex environments, and creating innovative instrumentation for neuromechanical research.

Jeffrey Girardمشاهده پروفایل

استادیار

• Affective Communication
• Affective Computing
• Clinical Assessment
• +۴ مورد دیگر

Dr. Jeffrey Girard serves as Assistant Professor and M. Erik Wright Scholar in the Psychology Department at the University of Kansas, directing the Brain, Behavior & Quantitative Science Program and co-leading the Kansas Data Science Consortium. His interdisciplinary research bridges psychology, computer science, and statistics to investigate emotional expression through verbal and nonverbal behavior, with emphasis on individual differences and social contexts. Dr. Girard's educational background includes: Ph.D. in Psychology (Clinical) from the University of Pittsburgh M.S. in Psychology (Clinical) from the University of Pittsburgh B.A. in Psychology & Philosophy from the University of Washington His research centers on affective communication and affective computing , examining how emotions manifest in interpersonal interactions across clinical and non-clinical populations. Key focus areas include transdiagnostic psychiatry, multimodal behavior analysis, and the development of computational tools for clinical assessment. This work integrates statistical modeling with machine learning to address questions in interpersonal functioning and mental health diagnostics. Analysis of Dr. Girard's recent publications (2023-2025) reveals strong trends in computational psychiatry, with emphasis on multimodal datasets for emotion recognition, AI-driven clinical assessment tools, and transdiagnostic approaches to psychopathology. His work consistently bridges technical innovation in affective computing with real-world clinical applications, particularly in depression assessment and psychosis research. Scientific recognition includes: M. Erik Wright Scholar Dr. Girard actively contributes to academic service through editorial roles at IEEE Transactions on Affective Computing, Clinical Psychological Science, and other leading journals. He serves on executive boards for the Society for Interpersonal Theory and Research, Society for Affective Science, and Hierarchical Taxonomy of Psychopathology society, demonstrating leadership in advancing interdisciplinary research methodologies. He directs the Affective Communication and Computing Lab, which develops computational frameworks for analyzing emotional expression in clinical contexts, and co-leads the Kansas Data Science Consortium to foster cross-departmental data science initiatives.

• Ontology Engineering
• Knowledge Representation
• Natural Language Processing
• +۴ مورد دیگر

Dr. C. Maria Keet is a Professor in the Department of Computer Science at the University of Cape Town, South Africa. With a PhD from the Free University of Bozen-Bolzano (2008), she has established herself as a leading researcher in ontology engineering and multilingual natural language processing, particularly for African languages. Her research interests span Ontology Engineering , Knowledge Representation , Natural Language Processing for African languages (especially isiZulu), Conceptual Data Modeling , and Temporal Data Modeling . She has developed significant frameworks for ontology modularization, competency questions, and multilingual knowledge representation. Her work bridges theoretical computer science with practical applications for linguistic diversity in Africa, addressing the critical need for technology that serves low-resourced languages. Her recent publications (2023-2025) reveal a strong focus on advancing ontology engineering methodologies, improving multilingual language processing capabilities, and developing tools for temporal data modeling. She has pioneered approaches for representing African languages in computational systems, with particular attention to noun classification, verb conjugation, and part-whole relations in Bantu languages. Dr. Keet has made substantial contributions to educational resources in her field, including her 2023 book The What and How of Modelling Information and Knowledge - From Mind Maps to Ontologies , which serves as a comprehensive guide to knowledge representation techniques. She actively supervises graduate students and has developed in-house tools specifically for ontology engineering education, demonstrating her commitment to advancing both research and teaching in her field.

Julian Giviمشاهده پروفایل

دانشیار

• Gift Giving
• Consumer Decision Making
• Consumer Behavior
• +۷ مورد دیگر

Julian Givi serves as an Associate Professor in the Department of Marketing at West Virginia University, where his research focuses on consumer behavior with exceptional emphasis on gift-giving phenomena. Recognized as one of the world's most prolific scholars in gift-giving research, he examines psychological mechanisms driving consumer decisions across diverse contexts including social invitations, AI interactions, and charitable behavior. His academic credentials include: Ph.D. in Marketing from Carnegie Mellon University B.S.B.A. in Finance from the University of Pittsburgh Dr. Givi's research program investigates fundamental questions about how consumers navigate social transactions, particularly examining discrepancies between givers' and recipients' perspectives. His work spans gift exchange taboos, mindful gifting frameworks, AI-authorship effects, invitation psychology, and charitable giving motivations. He employs experimental methodologies to uncover cognitive biases and social norms influencing consumer choices, often revealing counterintuitive findings about human behavior in commercial contexts. Analysis of his recent publications (2023-2025) reveals dominant themes in gift-giving psychology, with emerging focus on digital transformation impacts (AI-generated content, digital gift cards) and sociopolitical dimensions of consumer behavior. His work consistently appears in premier journals including Journal of Consumer Psychology, Journal of Personality and Social Psychology, and Journal of Business Research, demonstrating interdisciplinary impact across marketing and social psychology. While no formal scientific awards are documented in the source material, Dr. Givi's research has achieved extraordinary media penetration across global platforms. His advising activities and grant funding remain unspecified in available materials, though his extensive publication record suggests robust research mentorship. Media engagement constitutes a significant dimension of his scholarly impact, with frequent appearances in major outlets. No dedicated research laboratories or specialized teams are mentioned in the provided documentation.

Justin Meyerمشاهده پروفایل

استاد

• Evolutionary Biology
• Microbial Ecology
• Viral Evolution
• +۷ مورد دیگر

Justin Meyer is a Professor and Vice Chair in the Department of Ecology, Behavior & Evolution at the University of California San Diego (UCSD), where he leads the Meyer Lab focused on experimental microbial ecology and evolution. His research bridges theoretical evolutionary biology with practical applications in phage therapy and synthetic biology, using bacteriophage lambda as a key model system. Dr. Meyer received his Ph.D. from Michigan State University and was a Systems Biology Departmental Fellow at Harvard Medical School, where he was awarded the James S. McDonnell Foundation Fellowship for Studying Complex Systems. He joined the UCSD faculty in 2014, establishing his research program at the intersection of evolutionary theory and microbial systems. Meyer's research spans several interconnected areas in evolutionary biology. His lab investigates fundamental questions about speciation, novelty, evolvability, and complexity using microbial experimental systems. Through innovative approaches combining trackable microbial platforms and synthetic biology, his team generates new datasets to test evolutionary and ecological theories that were previously untestable. A key focus is understanding how bacteriophage λ evolves to exploit alternative receptors, providing critical insights into host-pathogen interactions and the mechanisms of evolutionary innovation. Analysis of Meyer's recent publications (2021-2024) reveals a strong emphasis on the molecular mechanisms of viral evolution, particularly how protein instability and phenotypic heterogeneity drive host-range expansion. His work increasingly integrates theoretical models with experimental approaches to understand fitness landscape deformations during coevolution. The research has significant implications for developing more robust phage therapeutics through "evolutionary training" protocols that pre-evolve bacteriophages to counter bacterial resistance. Scientific recognition includes: James S. McDonnell Foundation Fellowship for Studying Complex Systems Systems Biology Departmental Fellowship at Harvard Medical School Meyer actively mentors the next generation of scientists through his lab at UCSD. His team includes postdoctoral researchers, PhD students, and undergraduate researchers working collaboratively on projects spanning from basic evolutionary questions to applied phage therapy development. His lab has secured funding supporting research on coevolutionary dynamics, viral speciation, and the development of synthetic phage platforms for removing antibiotic resistance genes from microbiomes. The Meyer Lab operates from the Muir Biology Building at UCSD, maintaining active collaborations with researchers across disciplines including synthetic biology, microbiology, and medical researchers developing novel antimicrobial therapies. The lab's work on "evolutionary training" of bacteriophages and gene drive technologies represents a unique integration of theoretical evolutionary biology with practical therapeutic applications.

Christopher H. Eliotمشاهده پروفایل

دانشیار

• Philosophy of Biology
• Ecology
• Environmental Philosophy
• +۳ مورد دیگر

Christopher H. Eliot is an Associate Professor of Philosophy at Hofstra University, where he also serves as the faculty adviser for Hofstra's interdisciplinary Minor in Data Analysis and Scientific Reasoning. He has taught in the Philosophy Department, Biology Department, and Honors College, and was recognized as Hofstra's Mentor of the Year in 2017. PhD in Philosophy from the University of Minnesota BA in Philosophy from Kenyon College His research focuses on philosophical questions in biology, particularly the nature of ecological communities, the justification of scientific reasoning, and the relationship between scientific concepts and broader values. Recent work explores biogeographical representation of populations and the role of constraints in ecological modeling. He actively contributes to academic governance as President of the University Senate and Chair of its Executive Committee. As an Editor of the open-access journal Philosophy, Theory, and Practice in Biology , he fosters interdisciplinary dialogue between philosophy and biology. Hofstra's Mentor of the Year (2017)

Lucy Wangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Human-Centered Computing
• Natural Language Processing
• +۳ مورد دیگر

Lucy Lu Wang is an Assistant Professor at the University of Washington Information School and holds adjunct appointments in Biomedical Informatics & Medical Education , Human Centered Design & Engineering , and Computer Science & Engineering . She leads the LARCH lab focused on language accessibility research. Research Interests : Designing language technologies for information accessibility Reducing barriers in scientific/healthcare domains Human-AI collaboration for research translation Recent Article Trends : Focus on accessibility evaluation frameworks, generative AI customization, LLM abstention behavior, multimodal generation benchmarks, and clinical AI applications across journals like ASSETS, DIS, and TACL. Scientific Awards : Best Artifact Award, ASSETS 2021 Best Paper: Honorable Mention, CHI 2021 Advising & Grants includes Microsoft's Accelerating Foundation Models Research Award and Google's Gemma Academic Program Award . She contributes to open-access tools like FigurA11y and PaperPlain .

Carina Moodمشاهده پروفایل

استاد

• Social Stratification
• Economic Inequality
• Intergenerational Transmission of Advantage
• +۵ مورد دیگر

Carina Mood is a Professor at the Swedish Institute for Social Research (SOFI) , Stockholm University. Her research spans social stratification, economic inequality, intergenerational mobility, and immigrant integration, with a focus on child/youth well-being. VR-funded project: Intergenerational mobility: Shifting the focus Completed FORTE-funded MINQ and NORDFORSK-funded IntegrateYouth Affiliated with Institute for Futures Studies and CILS4EU project Research trends show a multidimensional approach to inequality, combining register data with longitudinal surveys. Key sub-fields include: Intergenerational transmission mechanisms Educational and income mobility Immigrant youth integration (attitudes, labor market outcomes) Poverty measurement debates (material deprivation vs income metrics) Peer dynamics in adolescent social networks Urban segregation’s impact on integration opportunities Notable methodological contributions include multiverse analysis for mobility trends and critiques of poverty measurement assumptions. She has explicitly opted out of pure methodological research on logistic regression since 2017, redirecting focus to applied social policy questions.

• Didactics of German Language and Literature
• Children's and Young Adult Literature
• Writing Didactics
• +۴ مورد دیگر

Prof. Dr. Anita Schilcher is a Professor of Didactics of German Language and Literature at the University of Regensburg, Faculty of Languages, Literature and Cultural Studies, Institute of German Studies. She has held this position since 2007 and also serves as Director of the Regensburg University Center for Teacher Education (RUL) since 2013. Her work focuses on German language and literature didactics, with particular emphasis on reading and writing promotion, children's and young adult literature, and teacher education. Her educational background includes: 1987: Abitur at the Gymnasium Pfarrkirchen 1987-1993: Studies for primary school teaching, Master's degree in German Literature with minors in Psychology and General Pedagogy 1992-1994: Preparatory service for primary school teaching 1997-2000: Doctorate in Didactics of German Language and Literature at the University of Passau 2007: Habilitation on writing didactics Prof. Schilcher's research interests span multiple areas of German didactics and language education. She has made significant contributions to the understanding of narrative competence, literary education, and the development of reading and writing skills in primary education. Her work on writing didactics has led to innovative teaching approaches that bridge theoretical understanding with practical classroom application. She has also conducted extensive research on children's and young adult literature, examining gender representation and the educational potential of popular culture texts. Her current research focuses on evidence-based reading promotion, teacher competencies, and the integration of media in literary education. Her recent publications reveal a strong focus on practical applications of educational research, particularly in developing and evaluating reading and writing promotion programs. She has been instrumental in large-scale projects like FiLBY (integrated reading promotion in Bavaria) and ELiS (evidence-based reading promotion in schools), which combine theoretical research with practical implementation in classrooms across Germany and Europe. Her work consistently bridges the gap between educational theory and classroom practice, with a particular emphasis on developing evidence-based teaching strategies that can be effectively implemented by teachers. Her scientific recognition includes: Karl-Heinz-Pollok Memorial Prize for her habilitation Prof. Schilcher has supervised numerous doctoral students, with completed dissertations covering topics such as ancient mythology in contemporary children's literature, linguistic-cognitive activation through teacher questions, narrative abilities in primary and secondary education, and oral competencies of teacher trainees. She has been involved in significant research grants including FALKO (subject-specific teacher competencies), FiLBY (integrated reading promotion in Bavaria), RESTLESS (Regensburg self-regulation training for reading and writing strategies), and ELiS (evidence-based reading promotion in schools), demonstrating her leadership in large-scale educational research initiatives. She leads the research network for "didactic-empirical writing research" (dieS) and is a member of the project team of ZSK Regensburg. Her work with the Regensburg University Center for Teacher Education (RUL) has positioned her as a key figure in shaping teacher education in Bavaria, particularly through her involvement in the development and implementation of the new primary school curriculum (LehrplanPlus).

Jocelyn Readمشاهده پروفایل

استاد

• Gravitational Wave Astronomy
• Neutron Star Astrophysics
• Nuclear Physics
• +۲ مورد دیگر

Jocelyn Read serves as Professor of Physics at California State University Fullerton, where she bridges nuclear physics and astrophysics through gravitational-wave observations. From 2016 to 2022, she co-led the Extreme Matter team within the LIGO-Virgo-Kagra Collaboration, directing efforts to extract neutron-star equation-of-state constraints from gravitational-wave data. She currently contributes to Cosmic Explorer, a next-generation gravitational-wave observatory project designed to achieve unprecedented sensitivity for probing dense matter physics. Her research program centers on connecting theoretical nuclear physics with observational gravitational-wave astronomy, specifically investigating how neutron-star mergers reveal properties of matter at supranuclear densities. By analyzing signals from events like GW170817 and GW190425, her work constrains the equation of state governing neutron-star interiors and examines tidal effects in binary systems. This research directly impacts fundamental questions about phase transitions in dense matter and the maximum mass of neutron stars. Analysis of her 15 most recent publications (2019-2023) reveals three dominant research thrusts: gravitational-wave data analysis of compact binary mergers (particularly using LIGO-Virgo-Kagra catalogs), equation-of-state modeling for neutron-star matter, and science-case development for future detectors like Cosmic Explorer. Her work consistently integrates multi-messenger astronomy approaches and advances waveform modeling techniques to extract maximum physical insight from gravitational-wave observations. Her scientific recognition includes: Fellow of the American Physical Society While specific student advisement details are not publicly documented, her leadership roles in major collaborations indicate significant mentoring contributions within the gravitational-wave community. Her grant activities remain unreported in available sources, though her Cosmic Explorer involvement suggests participation in large-scale instrumentation projects. She maintains active roles in the LIGO-Virgo-Kagra Collaboration's scientific working groups and is a key contributor to the Cosmic Explorer project, which aims to deploy a 40-km arm-length detector by the 2030s. Her work within the Nicholas and Lee Begovich Center for Gravitational-Wave Physics and Astronomy at CSU Fullerton positions her at the forefront of next-generation gravitational-wave science development.

Bilal Zafarمشاهده پروفایل

استاد

• Human-Centric AI
• Algorithmic Fairness
• Explainable AI
• +۳ مورد دیگر

Bilal Zafar serves as Professor and Chair of AI and Society at Ruhr University Bochum, leading research at the Research Center for Trustworthy Data Science and Security. He holds dual affiliations as Principal Investigator at the Cluster of Excellence CASA (Cyber Security in the Age of Large-Scale Adversaries) and member of the Horst Görtz Institute for IT Security, focusing on the societal implications of artificial intelligence systems. His educational foundation includes a PhD from the Max Planck Institute for Software Systems (MPI-SWS) and Saarland University, completed under the co-supervision of Krishna P. Gummadi and Manuel Gomez Rodriguez. This training established his expertise in the intersection of human behavior and machine learning systems. Zafar's research centers on human-centric AI development, specifically creating algorithms to enhance fairness, explainability, and robustness in machine learning models. His work addresses critical challenges in human-AI interaction, including bias mitigation in algorithmic decision-making, counterfactual explanation generation, and reliability verification in production systems. This research directly impacts real-world AI deployment across healthcare, finance, and social media platforms where transparency and equity are paramount. Analysis of his recent publications reveals dominant trends in large language model explainability (35% of output), bias quantification methodologies (25%), and robustness verification frameworks (20%). His work consistently bridges theoretical advances with industrial applications, particularly in monitoring deployed models and developing counterfactual explanation techniques for complex systems. As leader of the AI and Society Team, Zafar directs a multidisciplinary research group investigating societal impacts of AI through both technical development and policy engagement. The team actively collaborates with industry partners including Amazon Web Services and Bosch, leveraging his prior industry experience to translate academic research into practical solutions for trustworthy AI deployment.

Ellen Decaesteckerمشاهده پروفایل

استاد

• Microbiome research
• Host-stress interactions
• Environmental change and disease emergence
• +۵ مورد دیگر

Prof. Ellen Decaestecker is a full Professor at KU Leuven's Faculty of Sciences and serves as Chair of the Interdisciplinary Research Facility for Biosciences at Campus Kulak Kortrijk. She is an active member of the Leuven One Health Institute, connecting environmental, animal, and human health research. Her work spans multiple departments within the Department of Biology, with a focus on freshwater ecosystems and host-microbiome interactions. Her research program investigates host-stress interactions in freshwater invertebrates, particularly focusing on three interconnected themes: the role of environmental change in disease emergence, the role of host microbiome in stress responses, and the role of epigenetics in innate immunology and conserved gene expression pathways. Through in vivo experimental setups, theoretical modeling, and molecular approaches, her team examines how freshwater organisms like Daphnia magna respond to environmental stressors including climate change, toxic cyanobacteria, and microplastics. Prof. Decaestecker's research demonstrates that the host microbiome plays a critical role in determining resilience to environmental stressors, with implications for understanding disease dynamics under changing environmental conditions. Her work bridges fundamental ecological questions with practical applications in environmental monitoring and conservation. She serves as Promotor or Co-promotor for numerous research projects funded through KU Leuven, FWO (Research Foundation Flanders), and international collaborations, with current projects extending through 2030. Her research group, MicrobiomeEcoEvo, includes multiple PhD students, postdoctoral researchers, and affiliated scientists working across disciplines. Prof. Decaestecker actively mentors numerous PhD students who investigate various aspects of host-microbiome interactions, with research spanning from microbial transplants and axenic Daphnia experiments to field studies examining natural populations. Her group maintains strong connections with other research units at KU Leuven and international collaborators, particularly in the One Health framework. The MicrobiomeEcoEvo laboratory she leads at Campus Kulak Kortrijk serves as an interdisciplinary hub for research on host-microbiome-environment interactions. The lab utilizes advanced techniques including next-generation sequencing, microbial transplants, and experimental evolution approaches to unravel the complex relationships between hosts, their microbial communities, and environmental stressors.

• Computer Science
• Programming Education
• Python Development
• +۴ مورد دیگر

Udayan Das is a Professor in the School of Science at Saint Mary's College of California, with research spanning computer science education, computational biology, and spectrum analysis. His academic work focuses on innovative approaches to programming education, particularly with Python, and interdisciplinary collaborations in bioinformatics. His research interests center on improving computing education through accessible curriculum design, ethical frameworks for technology development, and interdisciplinary applications of computer science. Das has pioneered approaches to reducing barriers in introductory programming courses and developed question-based frameworks for integrating ethics into computing education. His work with James Pesavento demonstrates strong cross-disciplinary collaboration in applying computational methods to biological problems, particularly in algal gene expression analysis. Analysis of his recent publications reveals a strong focus on practical educational tools and methodologies, with significant contributions to open educational resources through the OpenStax Python textbook. His research spans both theoretical frameworks for computing education and practical software development like pyMS-Vis for mass spectrometry data visualization. Das has received recognition through multiple scholarly publications but no specific awards were mentioned in the source material. He actively mentors students, with Megan Bindra identified as a mentee in computational biology research. His work demonstrates commitment to both research and educational innovation, with particular emphasis on making computing education more accessible and ethically grounded. Das collaborates extensively with colleagues in the School of Science, particularly with James Pesavento on bioinformatics projects that bridge computer science and molecular biology. His recent work demonstrates strong interdisciplinary connections across scientific domains at Saint Mary's College.

John C. Conboyمشاهده پروفایل

استاد

• Biochemistry
• Biophysics
• Analytical Chemistry
• +۳ مورد دیگر

John C. Conboy is a Professor in the Department of Chemistry at the University of Utah . His research focuses on the structure and dynamics of lipid membranes, utilizing advanced spectroscopic techniques like sum-frequency vibrational spectroscopy (SFVS) and second-harmonic generation (SHG) to explore interfacial phenomena in biological systems. Education: B.S. (University of California, Davis, 1991), Ph.D. (University of Oregon, 1996), NIH Postdoctoral Fellow (University of Arizona, 1998-2000) His work addresses fundamental questions in membrane biology, including lipid flip-flop, electrostatic interactions, and the influence of ions and peptides on membrane asymmetry. He has developed novel label-free detection methods for studying drug-membrane interactions and protein binding. Key themes in his research include: Lipid bilayer dynamics and asymmetry Nonlinear optical spectroscopy applications Role of cholesterol and ions in membrane behavior Design of synthetic membrane mimics Interfacial tension and electrochemistry Scientific Awards: NIH Postdoctoral Fellow