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Jason WhitmireView profile

Professor

• Viral Immunology
• T Cell Differentiation
• Genetics of Immune Responses
• +3 more

Jason Whitmire, PhD, is a Professor in the Department of Genetics and Microbiology & Immunology at the University of North Carolina School of Medicine. His research focuses on viral immunology, T cell differentiation, and the genetic basis of immune responses. Whitmire leads a lab investigating mechanisms of antiviral T cell responses and pathogenic outcomes in infections caused by viruses like LCMV and hepatitis A. Key projects include studying histone demethylases' role in immune defense, genetic determinants of severe viral pathology, and obesity's impact on T cell-mediated pathogenesis. He collaborates with institutions like the Stan Lemon lab on developing animal models for human hepatotropic viruses. Whitmire actively mentors postdoctoral researchers and has published extensively in high-impact journals. Research Interests: Viral immunology, memory T cell differentiation, genetics of immune responses, host-pathogen interactions, obesity-related immunopathology, and hepatitis A virus pathogenesis. His lab uses mouse models to study mechanisms of immune defense and disease progression. Whitmire's work bridges molecular immunology, genetics, and epigenetics to understand how the immune system responds to viral infections and how genetic factors influence disease outcomes. Recent achievements include discoveries on IL-21-producing CD4+ T cells' role in neuropathology, the role of UTX histone demethylase in antiviral immunity, and the development of murine models for hepatitis A. His lab also explores drug efficacy against hepatitis A in vivo. Whitmire's research has been supported by grants and collaborations, including a postdoc position focused on T cell differentiation in viral infections. Laboratory and Team: The Whitmire Lab operates within the Department of Genetics, leveraging UNC's resources in biocontainment facilities, genomics cores, and flow cytometry. Collaborations with other labs enhance studies on viral immunology and pathogenesis. Current opportunities include postdoc positions in T cell biology and viral infection models.

John DerrickView profile

Professor

• Formal Methods
• Distributed Systems
• Concurrency
• +5 more

John Derrick is a Professor of Computer Science and Acting Vice-President and Head of the Faculty of Science at the University of Sheffield. He holds a DPhil in Mathematics from Oxford University and has held academic roles at the University of Kent (1990–2005) before joining Sheffield. His primary affiliations include the School of Computer Science and the Foundations of Computation and Testing research groups. Derrick’s research focuses on formal methods, specification, and verification of distributed systems, concurrency, and Erlang-based systems. Education: Bachelor’s in Mathematics, University of Nottingham DPhil in Mathematics, University of Oxford Research interests emphasize formal methods for concurrency, refinement techniques in state-based systems, model checking, and verification of concurrent algorithms. Notable projects include FORSE (Erlang tool support), ProTest (property-based testing), and contributions to weak memory model analysis. He has led EPSRC-funded grants and holds editorial roles in journals like Formal Aspects of Computing and Science of Computer Programming . Grants include leadership in projects such as COVERT (safe concurrent programming), Verifiably Correct Transactional Memory, and Model-Driven Architecture. Professional activities include chairing IFIP Working Group 6.1 and steering committees for conferences like FMOODS and FORTE. Labs/Teams: Member of the Verification and Testing research groups at the University of Sheffield.

Vasileios KlimisView profile

Lecturer

• Formal Methods
• Fuzz Testing
• Verification and Validation
• +5 more

Dr. Vasileios Klimis is a Lecturer in Computer Science at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. He is part of the Centre for Fundamental Computer Science and focuses on advancing formal methods, fuzz testing, and verification techniques for complex systems. Research Interests : Klimis specializes in applying formal methods, logical frameworks, and programming language technology to networking stacks, GPU compilers, weak memory models, RDMA configurations, and quantum computing environments. His work emphasizes challenges in memory persistency models, operational semantics of distributed systems, and validation of hardware-software interfaces. Key Research Themes : Formal Verification of Software-Defined Networks Semantics of Remote Direct Memory Access (RDMA) Weak Memory Model Analysis Compiler Design for GPUs Quantum Computing Methodologies Grants & Advising : While no specific grants or advisees are listed, Klimis’s publications reflect active collaboration with institutions like the University of Cambridge (via co-authors like Wickerson and Donaldson). His work often targets bridging gaps between theoretical formal methods and practical system implementations. Labs/Teams : Engaged with the Centre for Fundamental Computer Science at Queen Mary, focusing on foundational research in computer science with industrial relevance.

• Operating Systems
• Energy-Aware Systems
• Power Management
• +4 more

Frank Bellosa is a Professor and head of the Operating Systems Group at the Karlsruhe Institute of Technology (KIT). Previously, he held roles at the University of Erlangen, including Assistant Professor and researcher in the Operating Systems Department. He earned his PhD from the University of Erlangen in 1998, focusing on memory-conscious scheduling in multiprocessor systems. His research interests center on energy-aware systems, including OS-directed power management, thermal management in distributed systems, and flexible operating system architectures. Key projects include Event-Driven Clock Scaling (Process Cruise Control) and Energy-Aware Memory Management. He has advised numerous students on topics like temperature-aware scheduling and power management for embedded systems. Bellosa's publications span dynamic thermal management, cooperative I/O, and energy-efficient file systems. His work emphasizes reducing energy consumption while maintaining performance through innovative OS mechanisms. He has contributed to international conferences and workshops, including EuroSys and USENIX, and serves on program committees for major systems conferences. Current roles include leading the Operating Systems Group at KIT and contributing to initiatives like the Disruptive Memory Systems workshop. His research bridges hardware and software, addressing challenges in modern computing systems' efficiency and scalability.

María Nieves ZedeñoView profile

Professor

• North American Archaeology
• Indigenous Archaeology
• Traditional Land Use Studies
• +5 more

María Nieves Zedeño is a Professor of Anthropology and Research Anthropologist at the Bureau of Applied Research in Anthropology (BARA) at the University of Arizona. Her work integrates archaeology, ethnohistory, and ethnography to address contemporary cultural preservation needs of Native American communities, emphasizing Indigenous Archaeology that combines non-Western worldviews with conventional frameworks. She focuses on traditional land use, territoriality, and hunter-gatherer societies in North America, particularly among Pueblo, Numic, Algonquian, and Blackfoot groups. Her research has secured funding from federal and private sources, enabling collaborative projects with numerous tribes. Notable contributions include studies on Blackfoot territoriality, bison hunting economies, and cultural landscapes. She teaches courses such as Anthropology of North America and Archaeology and Descendant Communities , and has advised over 30 graduate students. Zedeño’s work bridges academia and community application through projects like the Blackfoot Early Origins initiative and the Kutoyis Archaeological Project. Her publications explore topics ranging from genomic analyses of Blackfoot persistence to the symbolic role of painted tipis. She advocates for Indigenous perspectives in archaeology, emphasizing ethical collaboration and cultural revitalization.

Iain MoylesView profile

Associate Professor

• Battery and Electrochemistry Modelling
• Disease Modelling
• Soil and Agricultural Modelling
• +4 more

Iain Moyles is an Associate Professor in the Department of Mathematics and Statistics at York University, Faculty of Science. His research focuses on mathematical modelling, asymptotic analysis, and scientific computing, with applications in battery technology, disease dynamics, soil science, and behavioral systems. He holds a PhD in Applied Mathematics from the University of British Columbia (2015), and completed postdoctoral work at the Mathematics Applications Consortium for Science and Industry (MACSI) at the University of Limerick (2015–2018). Research Interests: Mathematical Modelling of Batteries, Disease Spread Mechanisms, Soil Biogeochemistry, and Behavioral Dynamics. Sub-disciplines include Scientific Computing and Asymptotic Methods. Publications highlight contributions to epidemiological modeling (e.g., mpox, SARS-CoV-2), battery degradation, and soil phosphorus transport. His work has been published in journals such as Mathematical Biosciences , SIAM Journal on Applied Mathematics , and Scientific Reports . Awards include supervision of students recognized with accolades like the CIRN Trainee Scholarship and Faculty of Science Excellence in Educational Leadership Award. Active in teaching applied mathematics courses, including Perturbation Methods and Mathematical Modelling. Labs/Teams: Leads a research group with doctoral, master’s, and undergraduate students focused on interdisciplinary projects in applied mathematics and computational science.

Tamsin GermanView profile

Professor

• Developmental Psychology
• Cognitive Psychology
• Evolutionary Psychology
• +3 more

Tamsin German is a Professor in the Department of Psychological & Brain Sciences at the University of California, Santa Barbara (UCSB), within the College of Letters & Science. Her research focuses on developmental and evolutionary psychology, exploring how core cognitive systems underpin understanding of supernatural concepts, guard against unreliable information, and influence social behavior through group membership. She directs the Cognition and Development Laboratory and collaborates on studies of LGBTQ+ mate choice. Education: B.A. Experimental Psychology (University of Oxford, 1991), Ph.D. Psychology (University College London, 1995). Previous positions include a visiting fellowship at Rutgers University (1995) and faculty roles at the University of Essex (1996-2001). Research interests include cognitive mechanisms behind religious beliefs, social cognition, and cultural influences on attention. Her work bridges developmental psychology with evolutionary perspectives, addressing topics like pseudoscientific belief propagation and moral reasoning in children. Collaborative projects examine romantic/sexual preferences among LGBTQ+ populations using intersectional frameworks. Her advising and grants include leadership in interdisciplinary studies on autism treatment (PRISM model) and social cognition. The lab’s work has been published in Cognition , Cognitive Science , and Psychological Science . She maintains active collaborations with neuroscientists and behavioral researchers to advance understanding of human cognitive architecture.

Gal ZaubermanView profile

Professor

• Consumer Judgment and Decision Making
• Time in Decisions
• Financial Decision Making
• +4 more

Gal Zauberman is the Joseph F. Cullman 3rd Professor of Marketing at the Yale School of Management, Yale University. His research focuses on consumer judgment, decision-making processes involving time and financial choices, and the interplay between memory and experiences. He has explored how photography impacts memory retention and experience evaluation, as well as temporal effects in decision-making. His work bridges marketing, psychology, and neuroscience, addressing real-world issues like income inequality and pandemic time perception. Education details are not explicitly provided in the text, but his academic career is centered at Yale. His research has been recognized with awards such as the William O’Dell and Paul Green Best Paper Awards, plus the 2007 Early Career Award for Consumer Psychology. Media outlets like the New York Times and Scientific American have covered his findings. Key research trends in his articles include the psychological effects of time perception, the role of photography in shaping experiences, and behavioral responses to financial constraints. His work often highlights discrepancies between anticipated and actual behavior, such as in marijuana use predictions among teenagers. Awards: William O’Dell Best Paper Award Paul Green Best Paper Award 2007 Early Career Award for Distinguished Contributions to Consumer Psychology Advising and grant details are not specified in the provided text. His research extends to collaborative projects on topics like environmental inequality and multitasking perceptions, though lab affiliations are not mentioned.

• COVID-19
• Emerging Infectious Diseases
• Immunology
• +4 more

Rafael Bayarri Olmos is an Associate Research Scientist at Yale University's Yale School of Medicine, affiliated with the Department of Immunobiology. He holds a PhD in Molecular Immunology from Copenhagen University and focuses on immunology, virology, and complement system biology. His research emphasizes SARS-CoV-2 immunity, antibody responses, and complement pathway modulation, with notable studies on Omicron variant impacts and vaccine efficacy in immunocompromised populations. Education: PhD (Copenhagen University, 2018), MSc (Copenhagen University, 2013), BSc (University of León, 2011). Key Research: Investigates viral immune evasion mechanisms, complement system regulation, and translational therapies for infectious diseases. Leads projects on SARS-CoV-2 antibody dynamics, lectin pathway activation in critical illness, and chimeric protein-based immunomodulators. Publications (2022-2023): 10+ peer-reviewed articles in Journal of Innate Immunity , Microbiology Spectrum , and FASEB Journal , covering complement inhibitors, Omicron immunity, and vaccine response optimization. Labs: Active in the Iwasaki Lab, focusing on immune system interactions with pathogens and therapeutic development.

• Medical Research
• Biomedical Informatics
• Data Stream Processing
• +2 more

Dr. Ke Wang is an Associate Research Scientist at the Yale School of Medicine, Yale University. His work focuses on advancing biomedical informatics through innovative data processing techniques, including algorithm design for dynamic graphs and streaming data frameworks. His research intersects computer science and healthcare, addressing challenges in real-time data analysis and cybersecurity for web applications. Academic Role: Researcher in biomedical data science and algorithm development Key Areas: Streaming algorithms, graph theory, cybersecurity, and persistent memory optimization

Boyer WintersView profile

Professor

• Behavioral Neuroscience
• Neurobiology of Memory
• Declarative Memory
• +3 more

Boyer Winters is a Professor in the Department of Psychology at the University of Guelph, within the College of Social & Applied Human Sciences. His research focuses on the neurobiological mechanisms underlying declarative memory, particularly using rodent models to study object recognition, memory consolidation, and reconsolidation. He investigates how brain regions interact during cognitive processes, aiming to understand complex memory systems and their breakdown in diseases like Alzheimer’s and schizophrenia. Education: Bachelor’s in Experimental Psychology (Dalhousie University, 1994–1998) PhD in Experimental Psychology (University of Cambridge, 1998–2001) Postdoctoral training at the University of Cambridge (2001–2007) Research Interests: Neural bases of object recognition and crossmodal perception Role of cholinergic and dopaminergic systems in memory Developing touchscreen-based cognitive tests for rodent models Memory destabilization and reconsolidation mechanisms Articles highlight advancements in understanding how neuromodulators like dopamine and acetylcholine regulate memory processes. His work bridges basic neuroscience with translational studies on neurodegenerative and psychiatric disorders. Teaching: Courses include Behavioral Neuroscience, Neurochemical Basis of Behavior, and Advanced Topics in Behavioral and Cognitive Neuroscience. Labs/Teams: Lead of the Neurobiology of Cognition Lab at the University of Guelph, focusing on interdisciplinary approaches to cognitive neuroscience.

Peter Allan BuhrView profile

Professor

• Concurrency
• Polymorphism
• Concurrent Monitoring
• +4 more

Peter Allan Buhr is a Professor at the School of Computer Science, University of Waterloo. His primary research focuses on programming languages, concurrency, polymorphism, and tools for monitoring and debugging concurrent systems. He is known for developing μC++ and C∀, extensions to C and C++ that enhance concurrency and type safety. Buhr's work includes contributions to memory-mapped databases (μDatabase), debugging tools (MVD), and high-performance web server architectures. His research interests include concurrency control, lock-free algorithms, type systems, and persistent data structures. He has advised numerous graduate students on topics like C∀ type systems, concurrency patterns, and real-time scheduling. Buhr has published extensively in top-tier journals such as ACM Transactions on Parallel Computing and Concurrency and Computation: Practice and Experience. He leads the C∀ open-source project, aiming to modernize the C language while maintaining backward compatibility. His work on μC++ has been used in undergraduate concurrency courses at Waterloo for decades. Buhr's contributions to concurrency education and research have had a global impact, with tools and frameworks adopted widely in academia and industry.

Maggie L. BartlettView profile

Academic

• Viral RNA persistence
• Post-acute viral syndromes
• Neurotropic viral disease
• +7 more

Maggie L. Bartlett is an Assistant Research Professor in the Department of Molecular Microbiology and Immunology at Johns Hopkins University, School of Public Health. Her research integrates immunology, virology, and systems biology to investigate neurotropic viral diseases and post-acute sequelae of infections, particularly in genetically susceptible populations. Her primary research interests include: Viral RNA persistence in immune-privileged sites Post-acute viral syndromes (PAIS/PASC) Host-virus interactions in neurotropic infections Bat immunology and zoonotic spillover Connective tissue disorders and immune dysregulation Global health and pandemic resilience through One Health Dr. Bartlett's recent publications (2020–2024) reflect a strong focus on the immunological mechanisms of long-term viral sequelae, especially in the context of SARS-CoV-2 and other RNA viruses. Her work combines clinical biomarker analysis, systems virology, and B cell immunology to understand how acute infections lead to chronic conditions. A recurring theme is the investigation of vulnerable populations, including those with hereditary connective tissue diseases. Her scientific contributions have been recognized through awards such as: Hopkins Career Impact Award (October 2022) SOURCE Awardee Fellow for Service-Learning at Johns Hopkins (May 2022) Dr. Bartlett leads the Bartlett Lab, where her team applies multimodal sequencing and systems biology to explore the resilience of immune systems to viral challenges. She is actively involved in research projects examining the risk of severe COVID-19 and post-acute sequelae in patients with connective tissue diseases. While formal advisees are not listed, her role as lead author on multiple studies suggests active mentorship and collaboration with junior researchers. She has not received grants explicitly mentioned in the text, but her research is clearly funded through institutional and possibly external support.

Geoffrey SchoenbaumView profile

Adjunct Professor

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +3 more

Geoffrey Schoenbaum is an Adjunct Professor and Distinguished Investigator at the National Institute on Drug Abuse (NIDA), NIH. He leads the Cellular and Neurocomputational Systems Branch and the Behavioral Neurophysiology Neuroscience Section. His work focuses on neural circuits underlying associative learning, decision making, and addiction, using rat models to study brain regions like the orbitofrontal cortex and striatum. Schoenbaum employs techniques such as single-unit recording and optogenetics to explore how neural circuits adapt in neuropsychiatric disorders like addiction. Education: M.D. and Ph.D. from the University of North Carolina at Chapel Hill (1996, 1994), postdoctoral training at UNC and Johns Hopkins (advisor: Michela Gallagher). Research Interests: His lab investigates how drug use alters neural circuits, particularly the orbitofrontal cortex’s role in schema formation and decision-making deficits. Recent studies highlight dopamine’s role in prediction errors and the impact of cocaine on neural ensemble coding. Publications: Over 200 peer-reviewed articles, with recent work emphasizing dopamine signaling, hippocampal-orbitofrontal interactions, and addiction mechanisms. Key themes include model-based inference, prediction errors, and neural plasticity in addiction. Awards & Grants: NIH intramural funding supports his research on addiction neuroscience. His lab collaborates widely, advancing translational studies linking neural circuits to behavioral outcomes. Labs: Leads the Schoenbaum Lab at NIDA IRP, focusing on experimental behavioral neuroscience and computational modeling.

• Behavior Analysis
• Experimental Analysis of Behavior
• Operant Conditioning
• +10 more

Kennon Lattal is the Eberly Centennial Professor in the Department of Psychology at West Virginia University, within the Eberly College of Arts and Sciences. He has been a key figure in behavior analysis since joining the faculty in 1972, and has served in numerous administrative and leadership roles, including Coordinator of the Behavior Analysis Program from 1982 to 2012. Ph.D. in Experimental and Clinical Psychology, University of Alabama Dr. Lattal's research centers on behavior analysis, with major contributions to understanding delayed reinforcement, operant and Pavlovian extinction, temporal patterns in conditioning, and the influence of reinforcer magnitude and response requirements on behavior. He has also explored the conceptual role of the self in behaviorism and the historical development of key tools like the cumulative recorder. His work bridges basic and applied research, emphasizing translational insights. The trends in his recent publications reflect a continued focus on fundamental mechanisms of learning, extinction dynamics, and the philosophical underpinnings of behavior analysis. His work often integrates historical, theoretical, and empirical perspectives, contributing to both methodology and conceptual clarity in the field. His scientific contributions have been recognized with numerous awards, including: Benedum Distinguished Scholar Award (WVU) Distinguished Contributions to Basic Research Award (APA Division for Behavior Analysis) Don Hake Award for Translational Research Distinguished Contributions to Behavior Analysis Award (SABA) Multiple major teaching awards from WVU, APA, and ABAI Dr. Lattal has mentored 40 doctoral students and actively seeks undergraduate researchers in psychology. He has served as Editor of the Journal of the Experimental Analysis of Behavior and currently edits English submissions for the Mexican Journal of Behavior Analysis . His service extends to leadership as past President of ABAI, APA Division 25, SABA, and other major organizations. He has conducted research and taught internationally, including as a Fulbright Research Scholar in France. He is affiliated with several research and editorial teams and has contributed to special journal issues and books, including an APA memorial tribute to B. F. Skinner.