جستجوی استاد راهنمای دانشگاهی

• Veterinary Epidemiology
• Antimicrobial Resistance
• One Health
• +۳ مورد دیگر

Professor Ruth Zadoks is a faculty member at the Sydney School of Veterinary Science, University of Sydney. She holds academic positions in the Sydney Institute of Agriculture and Sydney Southeast Asia Centre, and is involved with the Sydney Infectious Diseases Institute. Her research focuses on antimicrobial resistance, zoonotic diseases, bovine health, and One Health principles. Notable projects include investigations into Japanese encephalitis transmission dynamics, antibiotic use in East African livestock, and molecular epidemiology of Group B Streptococcus. Recent grants include studies on microbial spillover in aquaculture and precision feeding in broiler chickens. Her work integrates veterinary and public health perspectives, addressing issues like anthrax impacts in rural Africa, tilapia-borne zoonoses, and diagnostic innovations for bovine mastitis. Over 118 peer-reviewed publications highlight her contributions to aquatic pathogen genomics, food safety, and livestock disease ecology. Recent grants (2024): - Revealing microbial spillover drivers in aquaculture (SSEAC Incubator) - Sustainable Precision Feeding in Broiler Chickens (AgriFutures) - ASEAN Antimicrobial Resistance Network (DFAT-funded) Labs/Teams: Affiliated with Sydney Infectious Diseases Institute and collaborates across interdisciplinary One Health networks.

Lynn Carol Millerمشاهده پروفایل

استاد

• Health Communication
• Virtual Environments
• Behavioral Neuroscience
• +۷ مورد دیگر

Lynn Carol Miller is a Professor of Communication at the University of Southern California’s Annenberg School for Communication and Journalism. Her research focuses on leveraging virtual environments, AI agents, and computational models to address health-related social behaviors, particularly in HIV/AIDS prevention and mental health. Funded by NIH, CDC, and DARPA (over $20M), her work integrates neuroscience, behavioral science, and technology. She pioneered interventions like SOLVE (Socially Optimized Learning in Virtual Environments) and Systematic Representative Design. Education: PhD in Personality Psychology from University of Texas at Austin. Key areas include health communication, gaming for behavior change, and computational modeling of social processes. She has supervised 17 doctoral students and collaborators across universities globally. Research emphasizes scalable interventions using fMRI-compatible tools and virtual reality. Notable contributions include reducing shame in HIV prevention games and analyzing neural correlates of risk-taking behaviors. Awards include the Early Career Award (2003) and ICA’s Outstanding Contribution to Communication Science (2020). Labs/Teams: Active in multidisciplinary teams at USC and collaborating institutions, focusing on virtual environment design, AI-driven interventions, and neurobehavioral studies. Current projects explore AI for public health and inclusive avatar representations in social VR.

• Sociology of public action
• Sociology of science and technology
• Sociology of labour
• +۲ مورد دیگر

Renaud Crespin serves as a CNRS Junior Professor at Sciences Po's Centre for the Sociology of Organisations (CSO), where his research integrates the sociology of public action, science and technology studies, and labor sociology to examine how health and environmental policies are rationalized through technical instruments and scientific expertise. His work critically analyzes the transnational circulation of policy instruments like screening tests across domains including blood donation, HIV/AIDS response, road safety, and drug policy. His academic credentials include: PhD in Political Science from Pantheon-Sorbonne University (2003), with dissertation on "Appropriation and public regulation of a biological tool: The social career of HIV tests, a comparative study (France, USA, Canada, Netherlands)" DEA (M.Phil) in Organisations and Public Policy from Pantheon-Sorbonne University (1995) Master's degree in Political Science from Pantheon-Sorbonne University (1994) Crespin's research reveals how seemingly neutral technical tools become embedded in complex power relations that shape professional practices and policy outcomes. His comparative studies demonstrate how instruments like workplace drug testing technologies travel across national contexts while being adapted to local organizational practices. Recent work examines pandemic response models, environmental risk assessment, and the ecosystemic approach to workplace addiction prevention, highlighting tensions between scientific evidence and political decision-making. As co-leader of the CSO's Knowledge, Science and Expertise research program since 2017, Crespin has fostered interdisciplinary dialogue on expertise in governance. His leadership extends to the CNRS' Institute for Humanities and Social Sciences scientific board (since 2014) and the CNRS' interdisciplinary commission on Methods, practices, and communications of science and techniques (since 2017). He has significantly contributed to public policy through appointments to the Observatory on Health Care Professionals' Quality of Life at Work (2018-2020) and the ANSES Environment-Health-Work national research programme's scientific committee (2014-2018).

Julie S. Downsمشاهده پروفایل

استاد

• Decision Science
• Psychology
• Risk Communication
• +۵ مورد دیگر

Julie S. Downs is a Professor of Psychology and Decision Science and Associate Dean of Research at Carnegie Mellon University’s Dietrich College of Humanities and Social Sciences. She directs the Center for Risk Perception and Communication, focusing on social influences in decision-making, particularly through behavioral interventions in risky domains like adolescent sexual behavior, food choices, online privacy, and vaccination. Her interdisciplinary work bridges public health, computer science, and economics. Education: Ph.D. in Social Psychology, Princeton University; A.B. in Psychology, UC Berkeley Leadership: Served on editorial boards (Psychological Science, Developmental Review), grant review panels (NIH, NSF), and institutional review boards (CMU, Disney Research) Her research emphasizes improving communication of technical information through Usable privacy and security frameworks Calorie labeling and dietary behavior Sexual health interventions for adolescents Behavioral responses to health risk calculators Decision-making in critical care Analysis of her 15 most recent publications reveals a focus on adolescent health, risk communication, and digital interventions. Awards include Platinum Remi, Aurora, and Telly Awards for her behavioral interventions’ impact. Scientific Contributions: Behavioral interventions reducing STI risk Contextualized risk communication strategies Grant-funded studies (NIH, NSF) Editorial leadership in psychological and public health journals Advising: Mentors current Ph.D. students (Aaron Balleisen, Trent Cash, Ramon Silvera Zumaran, Wenzhuo Xu) and guides alumni (Alison Butler, Samantha Horn, Stephanie Permut). Labs: Leads the Downs Research Lab, developing interactive tools (Seventeen Days, Your Move, Hold That Thought, READY-Girls) to address contraception, STIs, and psychological stigma.

David Córdovaمشاهده پروفایل

دانشیار

• Substance Abuse Prevention
• HIV/STI Prevention
• Health Disparities
• +۶ مورد دیگر

David Córdova is an Associate Professor at the University of Michigan School of Social Work, where he leads research on Latino health inequities with a focus on substance use and HIV prevention among adolescents. His work emphasizes community-based participatory research and digital health interventions. His research interests span Substance Abuse Prevention , HIV/STI Prevention , Health Disparities , and Latino Health , utilizing both qualitative and longitudinal methodologies. He has developed innovative family-based interventions delivered via internet platforms to address health inequities. Córdova's publication trends reveal a strong focus on adolescent health behaviors, family dynamics, and culturally tailored interventions. His recent work increasingly incorporates digital health approaches and examines intersectional factors like ethnic discrimination and familism in sexual risk behaviors among Latinx youth. Centers for Disease Control and Prevention Early Career Development Award (Grant# U01PS003316-01) National Institute on Minority Health and Health Disparities Loan Repayment Program Best Research Article on Family Research and Theory Award (2020) National Institute on Drug Abuse Diversity Scholars Network Fellowship Professor Córdova actively collaborates with students across all research phases and serves on editorial boards for Emerging Adulthood and Journal of Adolescent Health. His Prevention Research and Health Equity Lab develops interventions targeting substance abuse and HIV prevention, with recent work focusing on mobile health applications like the 'Storytelling 4 Empowerment' intervention funded by NIDA.

Jing Fuمشاهده پروفایل

دانشیار

• Nanoengineering
• Biomedical Applications
• Focused Ion Beam (FIB) Technology
• +۷ مورد دیگر

Dr. Jing Fu is an Associate Professor in the Department of Mechanical & Aerospace Engineering at Monash University. He holds a PhD in nano/microfabrication processes for biomedical applications from Pennsylvania State University (2008). His research focuses on nanoengineering tools, particularly Focused Ion Beam (FIB) technology for imaging and manipulating single cells. He is a principle scientist in collaborative projects with CSIRO MCN and Australian Synchrotron, exploring nanomaterial dynamics in immune cells. His expertise spans FIB/SEM/TEM, cryogenic environments, and multidisciplinary biomedical engineering. Education: M.Eng/Ph.D., Pennsylvania State University, USA (2008). Postdoctoral Fellowship at NIH (2008–2010). Joined Monash Faculty of Engineering in 2010. Research Interests: 3D visualization of HIV viral entry, compositional mapping of mammalian cells, and FIB-driven correlative imaging. Projects include '3D Cryo-FIBSEM Imaging Facility' (2015–2017) and 'Targeting NDM-producing superbugs' (2013–2015). Current collaborations involve tooth enamel evolution studies (2025–2028). Key Contributions: Over 90 publications, including work on graphene encapsulation for APT, ion beam fabrication of nanostructures, and polymyxin antibiotic efficacy. His research aligns with UN SDGs for health and innovation. Grants & Awards: ARC and NHMRC funding for projects on superbug targeting and imaging facilities. Active in multidisciplinary teams addressing biomedical challenges.

Rayid Ghaniمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Data Science
• +۵ مورد دیگر

Rayid Ghani is a Professor at Carnegie Mellon University (CMU), affiliated with both the Machine Learning Department (School of Computer Science) and the Heinz College of Information Systems and Public Policy. He co-leads CMU’s Responsible AI Initiative and leads the Data Science and Public Policy Group and the Data Science for Social Good Program. His work focuses on applying machine learning, AI, and data science to address social and policy challenges in health, criminal justice, education, public safety, workforce development, and sustainability, with an emphasis on fairness, equity, and transparency in AI systems. Education: PhD in Software Engineering PhD in Societal Computing Rayid’s research spans three pillars: (1) building AI systems for human collaboration to improve decision-making, (2) embedding fairness and equity in AI design, and (3) ensuring reliability and resilience of AI systems in dynamic environments. He emphasizes application-grounded experimental design and stakeholder engagement. His recent publications include frameworks for fair ML experimentation, analyses of fairness-accuracy trade-offs, and AI applications in child welfare, public health, and housing policy. He has also contributed to policy discussions, including congressional testimonies on responsible AI procurement. Advising & Grants: Rayid collaborates with governments, NGOs, and academic institutions on projects like eviction prevention, HIV care retention, and bias mitigation in public policy. He advises non-profits and startups on data science strategy and ethics. Labs & Teams: He leads the Data Science and Public Policy Group and the Data Science for Social Good Program at CMU, fostering interdisciplinary collaborations between computer scientists, social scientists, and policymakers.

Jane Barlowمشاهده پروفایل

استاد

• Parenting Interventions
• Infant Mental Health
• Child Abuse Prevention
• +۱۲ مورد دیگر

Jane Barlow is a Professor of Evidence-Based Intervention and Policy Evaluation at the Department of Social Policy and Intervention, University of Oxford, and Deputy Head of Department (on sabbatical 2025–26). She leads the national evaluation of the A Better Start program and collaborates with organizations like the NSPCC. Her role includes supervision of DPhil students at St Hilda's College and contributions to the Centre for Evidence-Based Intervention. Academic Affiliation: University of Oxford, Department of Social Policy and Intervention Research Groups: Child and family mental health and well-being, Social inequality and poverty, Violence prevention Barlow's research focuses on early parenting's role in child mental health, preventive interventions for child abuse, and pandemic impacts on maternal and infant services. Her work spans global health (e.g., rural Gambia adaptations), domestic abuse policies, and health visiting practice evaluations. Her recent publications address safer sleep practices, video feedback interventions, health visiting models, and pandemic-related anxiety. These studies employ systematic reviews, cross-cultural validations, and administrative data analyses, emphasizing policy implications. Scientific Honors : Fellow of the Faculty of Public Health (Honorary) President of AIMH UK Affiliate Council Representative, WAIMH Executive Board Associate Editor, Infant Mental Health Journal Jane Barlow supervises DPhil students in areas including parental mental health, child protection, and pandemic service adaptations. She leads the Supporting Early Minds Research Network and has developed training courses like Babies in Mind with the NSPCC.

• Gene Editing
• CRISPR Technology
• Genetic Engineering
• +۵ مورد دیگر

Scot Wolfe is a Professor at UMass Chan Medical School, affiliated with the Department of Molecular, Cell and Cancer Biology. He holds multiple academic roles across institutions including T.H. Chan School of Medicine and Morningside Graduate School of Biomedical Sciences. His research focuses on engineering CRISPR-Cas9 systems for gene therapy, targeting diseases like sickle cell anemia and muscular dystrophy. Wolfe's work emphasizes precision genome editing, delivery systems, and applications in hematopoietic stem cell therapy. Collaborations include projects on HIV latency, zebrafish genomics, and Neurofibromin gene therapy. His lab (wolfe-lab.org) innovates tools like Cas9-ZFP fusions and delivery methods for clinical applications. Education: B.S. from Caltech (1990), Ph.D. from Harvard (1996). Postdoc at MIT. Research spans protein-DNA recognition, zinc finger engineering, and transcription factor specificity. Over 150+ publications focus on gene editing mechanisms and therapeutic applications. Active in the NIH Somatic Cell Genome Editing program. Key projects include enhancing CRISPR specificity, ex vivo editing of HSPCs, and combating genetic disorders via base editing and prime editing. His team develops therapies for beta-hemoglobinopathies, limb-girdle muscular dystrophy, and Hermansky-Pudlak Syndrome. Ongoing work explores HIV cure strategies through proviral inactivation.

Huang Linمشاهده پروفایل

استادیار

• Biostatistics
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

Huang Lin is an Assistant Professor of Biostatistics at the University of Maryland's Department of Epidemiology and Biostatistics, School of Public Health. His research focuses on statistical methodologies, machine learning, and causal inference applied to high-dimensional omics data in microbiome and metabolomics studies, with applications in cancer, HIV/AIDS, maternal and child health, and clinical trials. He holds a BS in Statistics and Chemistry from Xiamen University (China), a PhD in Biostatistics from the University of Pittsburgh, and completed a postdoc at NIH. His academic work bridges bioinformatics and statistical innovation, addressing challenges in biomedical data analysis. Notably, he explores causal inference frameworks for infectious disease studies and develops machine learning tools for omics data integration. Recent collaborations include improving clinical trial methodologies in maternal health and HIV treatment efficacy. While his listed publications emphasize materials science for solid oxide fuel cells, this may reflect a dual academic focus or potential data overlap. His academic profile highlights biostatistics expertise, with research trends in interdisciplinary applications of statistical models to biomedical problems. No awards are explicitly listed, though his work demonstrates impactful contributions to methodological advancements.

• Immunology
• Systems Biology
• Genomics
• +۴ مورد دیگر

Dr. Masahiro Ono is a Reader in Immunology at Imperial College London's Department of Life Sciences, within the Faculty of Natural Sciences. He leads research on T-cell regulation, focusing on autoimmunity, infections, and cancer. His lab pioneered the Tocky system, using Fluorescent Timer proteins to study T-cell activity dynamics in vivo. Dr. Ono holds affiliations with the CRUK Convergence Science Centre, Infection and Immunity, and Integrative Systems Biology. His academic journey includes an MD from Kyoto University (1993-1999) and a PhD in regulatory T cells (2002-2006). He was awarded a HFSP Fellowship (2009) and BBSRC David Phillips Fellowship (2012), establishing his UCL lab before joining Imperial in 2015. Research Interests : Dr. Ono's work bridges immunology, genomics, and systems biology. His lab explores T-cell activation mechanisms, tumor immunology, and bioinformatics tools for single-cell analysis. Key innovations include the Tocky system for real-time cell kinetics tracking and integrative approaches like GatingTree for cytometry data analysis. Awards : HFSP Fellowship (2009) BBSRC David Phillips Fellowship (2012) Grants & Advising : Dr. Ono's grants have supported projects on viral latency, tumor microenvironment modulation, and immune checkpoint therapies. His lab actively collaborates on translational research, though specific grant details are not listed here. Labs & Teams : His lab at Imperial focuses on Tocky-based technologies and interdisciplinary convergence science through the CRUK Centre. Collaborations span virology, oncology, and bioengineering to address unmet clinical needs in immunotherapy.

Morten Nielsenمشاهده پروفایل

استاد

• Immunoinformatics
• Bioinformatics
• Machine Learning
• +۶ مورد دیگر

Morten Nielsen is a Professor at the Department of Health Technology, Technical University of Denmark, specializing in Bioinformatics with a focus on Immunoinformatics and Machine Learning . His research develops pattern recognition algorithms for immune system characterization and protein structure analysis, contributing to vaccine design against infectious diseases like HIV and tuberculosis. Professor since 2008 Director of Algorithm in Bioinformatics course (27623) Active in 8 current and 27 completed research projects Research spans epitope prediction , T-cell receptor modeling , and genomic variation analysis of pathogens. Recent work (2024) includes cancer neo-epitope immunogenicity studies, B-cell epitope prediction tools (DiscoTope-3.0), and TCR specificity modeling using machine learning. Current projects involve deep immune receptor modeling , personalized neoantigen screening , and autoimmunity pattern identification , with students including L. Machado, B. Scapolo, S. N. Deleuran, G. Nos, and A. B. Saksager.

• Bioinformatics
• Computational Biology
• Protein Informatics
• +۳ مورد دیگر

Barış Ethem Süzek is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering, Muğla Sitki Koçman University. His academic career spans institutions including Middle East Technical University (BS), Johns Hopkins University (MS), and George Mason University (PhD) in Computational Biology. He specializes in bioinformatics and computational biology, focusing on protein informatics, genetic analysis, and machine learning applications in medical research. Education BS: Middle East Technical University - Computer Engineering (1997) MS: Johns Hopkins University - Computer Science (2000) PhD: George Mason University - Computational Biology (2012) His research integrates bioinformatics with molecular dynamics, particularly in host-pathogen interactions, regenerative medicine, and genomic data analysis. He has developed machine learning tools for viral interaction prediction and variant analysis systems. His work with UniProt and cancer Biomedical Informatics Grid projects demonstrates expertise in large-scale biological data integration. Scientific awards include Collaboration, Outstanding Achievement, and Change Agent Awards from the cancer Biomedical Informatics Grid, plus multiple patent recognitions for biomedical systems. He has supervised numerous graduate students in bioinformatics, computational genetics, and forensic biology projects.

• Immunology
• T-cell Biology
• Proteomics
• +۶ مورد دیگر

Edward Jenkins is a Postdoctoral Researcher at the University of Oxford, affiliated with Balliol College. He is a member of the Davis Group, focusing on T-cell Biology and its intersections with proteomics, immunology, and cell signaling. His research spans diverse areas such as: T-cell activation mechanisms and membrane dynamics Vaccine adjuvant responses in lymph nodes CAR-T cell engineering for therapeutic specificity Proximity proteomics in inflammatory pathways Computational methods for 3D cell segmentation Recent publications highlight his work in immune receptor signaling, deubiquitinase substrate discovery, and nanoscale imaging of T-cell interactions. His studies often bridge molecular and cellular immunology with advanced imaging and computational tools, aiming to enhance cancer immunotherapy and vaccine design. Edward contributes to collaborative research within the Davis Group, utilizing techniques such as localisation microscopy and free-standing membrane platforms to investigate immune cell dynamics.

Jing Zhangمشاهده پروفایل

استادیار

• Genomics
• Computational Biology
• Biomedical Informatics
• +۶ مورد دیگر

Dr. Jing Zhang is an Assistant Professor in the Department of Computer Science at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information and Computer Sciences. She holds a Ph.D. in Electrical Engineering and Molecular/Computational Biology from the University of Southern California (2012) and completed postdoctoral training in Computational Biology at Yale University. Her research focuses on developing computational methods to unravel gene regulation mechanisms and link genetic variations to diseases, particularly in noncoding regions of the genome. She has contributed extensively to the ENCODE project, co-authoring pivotal studies in Nature and producing over 5,900 experimental datasets. Dr. Zhang’s work bridges engineering, mathematics, and biology, with applications in precision medicine for cancers and psychiatric disorders. She emphasizes the importance of noncoding DNA in disease causation and has pioneered tools like EN-TEx and scENCORE to analyze epigenomes and regulatory elements. Her lab actively seeks to recruit Ph.D. students, postdocs, and interns to advance genomic technologies. Key research areas include single-cell and spatial transcriptomics, gene regulatory networks, and computational methods for multi-omics data integration. Despite pandemic-related challenges, she maintains strong collaborations and teaches courses in bioinformatics. Her future goals include expanding lab interactions and applying computational models to predict disease susceptibility and treatment responses.