جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۱۶-۳۰ از ۳۲۴ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Hadi Al-Hasaniمشاهده پروفایل

استاد

Leibniz-Center for Diabetes Research at the Heinrich-Heine-University DuesseldorfGermany

Hadi Al-Hasani serves as University Professor and Director of the Institute for Clinical Biochemistry and Pathobiochemistry at the German Diabetes Center (DDZ), affiliated with Heinrich Heine University Düsseldorf's Medical Faculty. He concurrently leads the Research Group Pathochemistry, focusing on molecular mechanisms of diabetes and metabolic disorders through biochemical and genetic approaches. His primary research domains include Diabetes Pathogenesis , Insulin Signaling Pathways , and Metabolic Regulation , with specific expertise in Rab GTPase proteins (TBC1D1/TBC1D4), glucose transporter dynamics, and islet biology. Utilizing polygenic mouse models, his work bridges molecular biochemistry with clinical metabolic phenotypes to identify therapeutic targets for diabetes and obesity. Analysis of his 2007-2018 publications reveals consistent innovation in diabetes mechanisms, particularly through comparative genomics of insulin secretion pathways and Rab-GAP protein functions. His research demonstrates progressive exploration from foundational GLUT4 trafficking studies (1998) to contemporary investigations of metabolic syndrome gene networks and tissue-specific insulin resistance. Professor Al-Hasani's laboratory operates within the Pathochemistry Research Group at the Institute for Clinical Biochemistry and Pathobiochemistry, where his team integrates biochemical, genetic, and physiological methodologies to dissect molecular pathways underlying metabolic disease progression.

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Caroline Fordمشاهده پروفایل

استاد

University of New South WalesAustralia

Professor Caroline Ford is a leading researcher at the University of New South Wales, serving within the School of Women's and Children's Health and the Adult Cancer Program at the Lowy Cancer Research Centre. She leads the Gynaecological Cancer Research Group (GCRG), which focuses on understanding the development, spread, and treatment of gynaecological cancers, with particular emphasis on ovarian and endometrial cancer. Established in 2010 after international postdoctoral fellowships at the University of Toronto and Lund University, her laboratory has maintained consistent competitive research funding for over 13 years. Her research spans Cancer Cell Biology with specific expertise in ovarian cancer, endometrial cancer, endometriosis, metastasis mechanisms, ascites biology, and cell-free DNA analysis. Major projects include developing an early detection test for ovarian cancer and identifying key targets for anti-metastatic therapies. The GCRG works closely with clinicians at the Royal Hospital for Women and conducts studies involving biospecimen collection from women with gynaecological cancers. Professor Ford has pioneered innovative in vitro organotypic models of ovarian and endometrial cancer for pre-clinical drug testing. Her publication record shows consistent focus on ROR1/ROR2 receptors, Wnt signaling pathways, and cell-free DNA applications in cancer diagnostics. Recent work has emphasized liquid biopsy techniques using ascites fluid, 3D cancer models, and computational approaches to predict treatment outcomes. She has published extensively on the molecular mechanisms of gynaecological cancers and their clinical applications. Superstar of STEM (2017) Women's Agenda Award for Female Leader in Science, Medicine & Health (2018) Professor Ford actively supervises PhD students including Kate Gunther and Bonnie Werner, and co-supervises Zoe Phan. She convenes UNSW's General Education course on Personalised Medicine and developed Australia's first MOOC on this subject. She serves as Chair of the ANZGOG Uterine Tumour Type Working Group and Research Chair of Cure Cancer Australia. Her community engagement includes founding the STEMMinist Book Club and leading the 'Ovaries. Talk About Them' campaign to raise awareness about ovarian cancer.

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Ify Mordiمشاهده پروفایل

مدرس ارشد

University of DundeeUnited Kingdom

Ify Mordi, PhD, serves as a Clinical Senior Lecturer and Honorary Consultant in Teaching and Research within the Division of Cardiovascular Research at the University of Dundee's School of Medicine. With an impressive research portfolio spanning over a decade, Dr. Mordi has published 139 research outputs and secured significant funding from organizations including the British Heart Foundation and Juvenile Diabetes Research Foundation. Her work contributes to UN Sustainable Development Goals related to good health and well-being through innovative cardiovascular research. Dr. Mordi's research focuses on the intersection of cardiovascular disease and diabetes, with particular expertise in heart failure (especially heart failure with preserved ejection fraction), aortic stenosis, and coronary artery disease. Her work increasingly incorporates artificial intelligence applications in cardiovascular medicine, including groundbreaking research using retinal imaging to predict cardiovascular outcomes. She leads multiple major research initiatives including the SOPHIST trial investigating Sotagliflozin in patients with heart failure symptoms and type 1 diabetes, and the UK HFpEF Registry in collaboration with the University of Manchester. Analysis of Dr. Mordi's recent publications reveals a strong trend toward integrating advanced analytics and AI with traditional cardiovascular research. Her work spans genetic epidemiology, clinical trials, population health studies, and innovative diagnostic approaches. The research demonstrates growing emphasis on precision medicine approaches for cardiovascular disease, particularly in diabetic populations, and the development of non-invasive diagnostic tools that could transform clinical practice. Dr. Mordi actively contributes to academic mentoring through PhD examinations and serves as an invited speaker at international conferences. Her research has received significant media attention, with coverage in 13 news outlets and mentions across social media platforms, highlighting the translational impact of her work. She has been involved in multiple high-impact collaborative projects including the iDiabetes Platform for enhanced phenotyping of diabetes patients and the REACH-HFpEF study examining home-based rehabilitation for heart failure patients. Through her leadership in the British Heart Foundation-funded Clinical Fellowship focused on improving prediction and prevention of heart failure in type 1 diabetes, Dr. Mordi is establishing herself as a key investigator in the field of cardio-diabetology. Her research program bridges basic science, clinical application, and health services research to address critical gaps in cardiovascular care for diabetic patients.

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Brian Hedlundمشاهده پروفایل

استاد

University of Nevada, Las VegasUnited States

Brian Hedlund is a Professor in the Department of Life Sciences at the University of Nevada, Las Vegas (UNLV). His research focuses on microbial ecology and genomics, particularly in extremophilic environments such as geothermal springs. He leads studies exploring microbial biodiversity, including 'dark' lineages of bacteria that remain underexplored. Hedlund employs advanced techniques like single-cell genomics, metagenomics, and stable isotope analysis to understand microbial roles in ecological processes. His work bridges fundamental research with applied biotechnology, including biofuels development and disease diagnostics. Hedlund’s research is funded by major agencies like NSF, NASA, DOE, and NIH. He co-authored the SeqCode, a nomenclatural system for naming uncultivated prokaryotes based on genomic data, and serves on grant review panels for national funding bodies. Education: Ph.D., Microbiology, University of Washington B.S., Biology, University of Illinois Research Interests: Microbial biodiversity in extreme environments Functional genomics of uncultivated microorganisms Applications in astrobiology and biotechnology International collaborations, particularly with China Grants & Funding: Major support from NSF, NASA, DOE, and NIH SeqCode development and microbial naming initiatives Labs & Teams: Hedlund collaborates with industrial and academic partners on projects ranging from biofuels to human microbiome studies, emphasizing interdisciplinary approaches.

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Allen J. Mooreمشاهده پروفایل

استاد

University of GeorgiaUnited States

Allen J. Moore is a Distinguished Research Professor in the Department of Entomology at the University of Georgia's College of Agricultural & Environmental Sciences. His work bridges evolutionary biology, genetics, and behavioral ecology with a focus on understanding the molecular and genetic mechanisms underlying complex social behaviors in insects. Moore's research program centers on the evolution of parental care and social behavior, primarily using burying beetles (Nicrophorus species) as model organisms. His work integrates quantitative genetics, molecular biology, and behavioral ecology to investigate how indirect genetic effects shape coevolutionary dynamics between interacting individuals. A significant portion of his recent research examines the role of DNA methylation, particularly Dnmt1, in reproductive processes and behavioral plasticity across insect species. His approach combines field observations with molecular techniques to address fundamental questions about how genes and environment interact to produce adaptive behaviors. Analysis of Moore's recent publications reveals a strong trajectory toward understanding the epigenetic regulation of social behavior. His work demonstrates how molecular mechanisms like DNA methylation interact with environmental factors to influence parenting strategies, reproductive timing, and kin recognition. The research spans multiple insect systems including burying beetles, crickets, and whiteflies, providing comparative insights into the evolution of social behavior across diverse taxa. Moore maintains active collaborations within the University of Georgia, particularly with Patricia Moore in the Entomology department, as evidenced by their joint research on DNA methylation in insects. His lab appears to train graduate students and postdoctoral researchers, contributing to the next generation of evolutionary biologists while advancing our understanding of how complex social behaviors evolve and are maintained in natural populations.

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Bo Huمشاهده پروفایل

استاد

Duke UniversityUnited States

Bo Hu is Professor of Biostatistics & Bioinformatics and Professor of Neurosurgery at Duke University, where he leads methodological and collaborative research at the intersection of biostatistics, bioinformatics, and clinical neurosciences. His dual appointments situate him within the Division of Biostatistics in the Department of Biostatistics & Bioinformatics and within the neurosurgical faculty. Education: Ph.D. in Biostatistics, University of Wisconsin–Madison, 2006 Research Interests: Professor Hu’s methodological work centers on advanced biostatistical and machine-learning techniques for high-dimensional biomedical data, including generative AI, synthetic data generation, and predictive analytics in medicine. Clinically, he collaborates on precision-medicine trials in oncology, neurodegeneration (Alzheimer’s disease), metabolic disease (type 2 diabetes and bariatric surgery), and treatment-resistant depression. His neuroimaging genetics portfolio explores structural brain endophenotypes in bipolar disorder and epilepsy using single-cell transcriptomic integration. Complementing his medical research, he maintains a vigorous program in remote-sensing informatics, developing deep-learning solutions for object detection, domain adaptation, and energy-infrastructure mapping from overhead imagery. Recent Grant Portfolio: Empagliflozin to Improve Right Ventricular Function in Pulmonary Arterial Hypertension – Cleveland Clinic Lerner College of Medicine (2025-2030) Gender and Asthma – Mayo Clinic Hospital-Arizona (2025-2027) Engaging Patients in Prenatal Genetic Testing Decisions – Cleveland Clinic Lerner College of Medicine (2025-2027) Laboratory & Collaborative Networks: Professor Hu leads interdisciplinary teams that bridge Duke’s Department of Biostatistics & Bioinformatics with clinical departments (Neurosurgery, Psychiatry, Medicine) and external partners such as Cleveland Clinic, Mayo Clinic, and multiple NIH consortia. These collaborations support large-scale clinical trials, multi-omics neuroimaging studies, and AI-driven remote-sensing analytics.

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Kadeem Jamal Gilbertمشاهده پروفایل

استادیار

Michigan State UniversityUnited States

Kadeem Jamal Gilbert is an Assistant Professor at Michigan State University (MSU) affiliated with multiple programs and institutes: Plant Biology, Kellogg Biological Station, Molecular Plant Sciences Program, Plant Resilience Institute, and Ecology, Evolution & Behavior Program. His research focuses on plant-animal/microbe interactions, symbiosis, physiological regulation of leaf microenvironments, and carnivorous plants. Education: Ph.D. from Harvard University Dr. Gilbert's work integrates ecological and physiological approaches to study plant interactions with insects, microbes, and environmental gradients. His lab employs transcriptomics, chemical ecology, and community ecology frameworks to investigate carnivorous plant adaptations, phylloplane regulation, and global change impacts on species interactions. Recent publications highlight his research trajectory across plant physiology, microbial ecology, and evolutionary biology. These include studies on anthocyanin-mediated plant-insect interactions, fluid regulation in Nepenthes pitcher plants, and landscape-scale transcriptomic responses to environmental stressors. His work reveals fundamental insights about ecological filters in plant microhabitats and evolutionary tradeoffs in carnivorous species. Current research themes include plant volatile signaling in herbivore specialization, pH-mediated microbial community assembly, and ecological transcriptomics across environmental gradients. The Gilbert Lab maintains active outreach and press engagement while maintaining field sites at the Kellogg Biological Station.

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Leonard Wesleyمشاهده پروفایل

دانشیار

San José State UniversityUnited States

Bioinformatics
Computational Biology
Pharmaceutical Drug Discovery & Development
+۱۳ مورد دیگر

Leonard Wesley is an Associate Professor in the Department of Computer Science at the College Of Science, San Jose State University. His research spans interdisciplinary domains at the intersection of Bioinformatics , Computational Biology , and Machine Learning , with specific applications in Pharmaceutical Drug Discovery , Genomic Data Analysis , and Autonomous Robotics . Education: Ph.D. in Computer Science, University of Massachusetts M.S. in Computer Science, University of Massachusetts B.A. in Physics and Math, Northeastern University Research Interests include Approximate Reasoning (probabilistic, evidential, and fuzzy logic), Agent-Oriented Systems , and Sensor Fusion . His work applies these methodologies to Drug Portfolio Management , Protein Structure Scoring , and Medical Diagnostics . Publication Trends show a consistent focus on Computational Biology , Robotics , and Uncertainty Quantification over four decades. Early work in Computer Vision evolved into modern applications in Pharmaceutical Analytics and AI in Aerospace . Key Projects include SVM-based drug affinity prediction, evidence-driven decision support systems for biopharma, and real-time agent development frameworks like ROADS. He has contributed to CFD code control and Mobile Network Congestion solutions. Collaborations with institutions like NASA, Los Alamos National Laboratory, and international conferences (WMSCI, ICINCO, AIAA) highlight his cross-disciplinary impact. His teaching includes Artificial Intelligence and Bioinformatics courses.

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Cristian Román-Palaciosمشاهده پروفایل

استادیار

University of ArizonaUnited States

Cristian Román-Palacios is an Assistant Professor in the Department of Ecology and Evolutionary Biology at the University of Arizona, where he also serves as Coordinator and Advisor for the Master of Science in Data Science (MSDS) and Master of Science in Information Systems (MSIS) programs. He is a core faculty member in Artificial Intelligence and Machine Learning, Data Management, Analysis and Visualization, and Environmental, Health and Biological Sciences. Education: PhD in Ecology and Evolutionary Biology, University of Arizona (2020) BS in Biology, Universidad del Valle, Colombia (2015) His research lies at the intersection of phylogenetics, biodiversity modeling, and machine learning, focusing on large-scale biodiversity patterns, the impacts of climate change on species survival, and the development of statistical tools for paleoclimatic reconstructions. He employs computational and data-intensive methods to explore evolutionary and ecological questions across diverse taxa. His recent publications (2024–2025) demonstrate a strong trend toward interdisciplinary research, combining computational biology, geochemistry, climate science, and open-source software development. Key themes include biodiversity informatics (e.g., Animal Culture Database), paleoclimatic modeling (e.g., clumped isotope thermometry), reproducibility in science, and tools for collaborative research (e.g., LabOps, SSARP). His work increasingly integrates data science with biological and environmental applications. Scientific Contributions: Published over 25 peer-reviewed papers, many as first author Research featured in Science News, Popular Science, CNN, USA Today Developed open-source tools: phruta , treedata.table , SSARP , LabOps Cristian advises graduate students through the infosci-msadvise@arizona.edu email and Calendly appointments. He was previously a staff researcher at UCLA’s Tripati Lab. He leads initiatives such as the Southwest Center on Resilience for Climate Change and Health and promotes inclusive, collaborative science through online toolkits and leadership ecosystems aimed at addressing climate and social inequities. His lab, the Román-Palacios Lab, and involvement with the Data Diversity Lab reflect his commitment to open, reproducible, and equitable research practices in data-intensive biology.

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Hans-Peter Piephoمشاهده پروفایل

استاد

University of HohenheimGermany

Prof. Dr. Hans-Peter Piepho is a faculty member at the University of Hohenheim , serving as Director of Biostatistics (340c) within the Institute of Crop Science . His research focuses on advanced statistical methods for plant sciences, including genomic prediction, spatial modeling of field trials, and network meta-analysis. Key research areas: Genotype-environment interaction, mixed model applications, and experimental design in agriculture. Collaborations span plant breeding, cultivar testing, and environmental stress analysis. His group emphasizes mixed model procedures as the backbone of methodological innovation. Recent publications highlight climate change adaptation, nitrogen optimization, and agroforestry yield dynamics. Contact: piepho@uni-hohenheim.de | Fruwirthstr. 23, Institute Building, 211, Stuttgart, Germany

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Ragnheidur Bragadottirمشاهده پروفایل

استاد

University of OsloNorway

Ragnheidur Bragadottir is a Professor in the Department of Ophthalmology at the University of Oslo, affiliated with Oslo University Hospital (OUS Ullevål). Her primary affiliation is within the Faculty of Medicine. She specializes in retinal diseases, vitreoretinal surgery, and inherited retinal disorders, with a focus on clinical electrophysiology and gene therapy applications. Her research addresses genetic syndromes like Bardet-Biedl syndrome, ABCA4-related dystrophies, and Stargardt disease, emphasizing translational medicine and patient-centered care. Her work spans clinical trials evaluating anti-VEGF therapies, surgical innovations (e.g., intraoperative OCT for macular holes), and long-term outcomes of treatments like phacovitrectomy. She collaborates extensively on consensus statements (e.g., MHOST for macular hole management) and investigates the burden of chronic retinal diseases on patients and healthcare systems. Bragadottir’s contributions also include foundational studies on gene therapy in RPE65-deficient models and optical imaging advancements for retinal biomarker analysis. Publications highlight her expertise in retinal degeneration mechanisms, surgical techniques, and drug efficacy comparisons (e.g., aflibercept vs. bevacizumab). She is actively involved in the Clinical Retinal Research group and the Center for Eye Research, driving both basic science and clinical ophthalmology advancements.

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Sara Ballouzمشاهده پروفایل

مدرس ارشد

University of New South WalesAustralia

Dr. Sara Ballouz is a Senior Lecturer at the University of New South Wales (UNSW) , affiliated with the Garvan Institute of Medical Research and the Garvan-Weizmann Centre for Cellular Genomics . Her research integrates computational and experimental approaches to understand the genetic architecture of disease , with a focus on X-linked disorders , sex differences in disease , and personalized medicine . 2013 - PhD, Victor Chang Cardiac Research Institute and UNSW 2008 - BE Bioinformatics (First Class Honours), UNSW 2008 - BSc Genetics, UNSW Her work addresses challenges in analyzing multi-omics data (genomes, transcriptomes, epigenomes, proteomes) to develop robust tools for personalized medicine. Key contributions include improving RNA-seq accuracy through pan-human consensus genomes and creating computational methods like AuPairWise and CoCoCoNet for co-expression analysis. She explores developmental stochasticity and its transcriptional legacy, alongside cross-tissue X-chromosome inactivation patterns. Recent publications emphasize single-cell transcriptomics applications in autoimmune diseases (e.g., X-linked chronic granulomatous disease ), long COVID immune dysregulation , and cardiometabolic disease treatment. Her group at Garvan-Weizmann Centre leverages computational genomics and meta-analysis to address reproducibility in biomedical research. Dr. Ballouz supervises students including Lachlan Gray , who investigates X chromosome roles in female autoimmune disease . She collaborates with institutions like Cold Spring Harbor Laboratory and Victor Chang Cardiac Research Institute . Email: s.ballouz@unsw.edu.au

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Jincheng Shenمشاهده پروفایل

استادیار

University of UtahUnited States

Jincheng Shen is an Assistant Professor in the Department of Population Health Sciences at the University of Utah, with adjunct roles in the Departments of Family & Preventive Medicine and Internal Medicine. He completed his PhD in Biostatistics at the University of Michigan, Ann Arbor, postdoctoral training at Harvard T.H. Chan School of Public Health, and holds a BS and MS in Computer Science from Tsinghua University. His methodological research focuses on causal inference , machine learning , high-dimensional data analysis , and statistical genetics . Applications span cancer studies, cardiovascular health, opioid use disorder, and chronic disease management. He actively collaborates with clinicians, biologists, and epidemiologists, particularly in analyzing longitudinal data from trials like SPRINT and AASK. Recent publications (2024–2025) highlight his work in optimizing dynamic treatment regimes for diabetes, cardiovascular disease, and cancer, using machine learning and epigenetic biomarkers . He also contributes to school-based interventions for skin cancer prevention and community pharmacy protocols for opioid misuse. Collaborations include large-scale studies on DNA methylation , aging , and environmental exposures , with applications in COPD, cardiovascular outcomes, and cancer risk prediction. His interdisciplinary approach bridges statistical methodology with real-world clinical and public health challenges.

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Ruitao Linمشاهده پروفایل

استادیار

The University of Texas MD Anderson Cancer CenterUnited States

Dr. Ruitao Lin is an Assistant Professor in the Department of Biostatistics at The University of Texas MD Anderson Cancer Center and an Adjunct Assistant Professor at Rice University. He holds a PhD in Biostatistics from The University of Hong Kong (2012–2016) and completed postdoctoral training at the University of Washington and MD Anderson. His research focuses on Bayesian adaptive designs, robust statistical methods, and clinical trial methodologies, particularly in oncology and precision medicine. He leads the development of novel Bayesian approaches for dose-finding in phase I/II trials, meta-analytic trial designs, and high-dimensional data analysis. Dr. Lin is an Associate Editor for Contemporary Clinical Trials , Biometrical Journal , and Pharmaceutical Statistics , and has contributed to software tools like the BOIN design suite and TITE-BOIN12. His work bridges statistical innovation with practical clinical challenges, including late-onset toxicities in immunotherapy and heterogeneous treatment effects. He has secured NIH funding (e.g., R01CA261978) and collaborated with academic and industry partners to advance trial design and analysis. His software platforms, including R packages and Shiny apps, enable clinicians to implement cutting-edge statistical methods in real-world settings. Education : PhD, Biostatistics, The University of Hong Kong (2016); Postdocs at University of Washington (2016–2017) and MD Anderson (2017–2019). Grants : NIH/NCI R01CA261978 (2021–2025), focusing on Bayesian methods for precision oncology trials. Teaching : Teaches clinical trial design courses at Rice University and UTHealth. Labs/Software : Developed the BOIN design suite, TITE-BOIN12, and other tools for dose-finding and phase I/II trials.

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Tehzeeb Zulfiqarمشاهده پروفایل

پژوهشگر ارشد

Australian National University (ANU)Australia

Dr. Tehzeeb Zulfiqar is a Research Fellow at the National Centre for Epidemiology and Population Health at the Australian National University (ANU) and an Adjunct Associate Professor at the Health Services Academy in Pakistan. With over 30 years of experience in public health policy and research across Pakistan and Australia, she brings extensive expertise in epidemiology, program evaluation, and health systems strengthening. Her current work focuses on the evaluation of the Australian Pathogen Genomics Program (AusPathoGen) using realist theory, examining the utility and cost-effectiveness of genomic-based public health responses and capacity transformation with emphasis on end-user acceptability. Dr. Zulfiqar's educational background includes: PhD in Public Health from the Australian National University Master of Public Health (MPH) from the Australian National University MPhil in Reproductive Physiology from Quaid-i-Azam University MSc in Community Nutrition from Allama Iqbal Open University MBBS from Army Medical College Dr. Zulfiqar's research spans genomic epidemiology, immigrant health, and environmental health challenges. Her primary focus is on genomic surveillance systems and their implementation in public health practice, particularly through her leadership in evaluating Australia's national pathogen genomics program. She has conducted extensive studies on obesity patterns, health disparities, and cultural adaptation among immigrant populations in Australia, examining intergenerational differences in body image standards and dietary practices. Her environmental health research has gained prominence following Australia's devastating bushfire seasons, where she investigated community perceptions of smoke exposure and the effectiveness of public health communication during environmental disasters. Her work demonstrates how housing conditions, individual risk perception, and public health advice interact during climate-related emergencies. Dr. Zulfiqar's publication record shows a clear trajectory toward integrating advanced genomic technologies with practical public health applications while maintaining a strong commitment to health equity. Her recent work spans from technical evaluations of genomic surveillance systems to critical examinations of public health terminology and its impact on marginalized communities, particularly regarding the problematic use of terms like 'culturally and linguistically diverse (CALD).' Dr. Zulfiqar has supervised multiple students including Hesham Al-Sharani, Russell Tolentino, and Alfi Fatima Yudani. She has been involved in numerous significant research projects, including the third-party evaluation of Pakistan's Lady Health Workers program conducted by Oxford Policy Management, UK, where she served as national lead. Her teaching experience includes Family Medicine, Public Health Nutrition, Life Style Medicine, and serving as a tutor at the ANU Medical School for 8 years. Dr. Zulfiqar is actively involved in multiple research teams, most notably as a key researcher in the Australian Pathogen Genomics Program evaluation and the Timor-Leste One Health Bacteria Enteropathy and Nutrition (BEN) Study (2023-2027). Her interdisciplinary approach bridges epidemiology, social sciences, and public health practice to address complex health challenges both in Australia and internationally.

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