Find Academic Supervisors

• Nanoparticle
• Copolymer
• Transfection
• +5 more

Marck Norret is a Research Fellow at The University of Western Australia's School of Molecular Sciences, where he conducts interdisciplinary research at the intersection of chemistry, pharmacology, and biomedical sciences. His work contributes to several UN Sustainable Development Goals, particularly those related to health innovation and scientific advancement. Dr. Norret holds a Doctorate, Master of Science from Manchester (MSc Manc.), and PhD from Sydney (PhD Syd.). His educational background has prepared him for advanced research in molecular sciences and drug development, with an h-index of 16 and 745 citations according to Scopus metrics. His research spans multiple cutting-edge areas in molecular science, with particular expertise in nanoparticle technology, copolymer systems, transfection methods, macrocyclic chemistry, DNA interactions, methacrylate applications, cancer therapeutics, and fullerene chemistry. Dr. Norret's fingerprint analysis reveals strong contributions to pharmacology, toxicology, pharmaceutical science, biochemistry, genetics, molecular biology, and chemistry. Dr. Norret's recent publications demonstrate a clear trajectory toward biomedical applications of molecular systems, particularly in cancer therapy, drug delivery mechanisms, and molecular imaging. His work increasingly focuses on translating fundamental chemical discoveries into clinically relevant solutions, with several publications exploring tumor immunity, oligonucleotide delivery, and hydrogel-based therapeutic systems. Optimisation of Kinetic Inhibition of Methane Hydrate Re-Formation (2025) WA Facility for Drug and Biomaterials Discovery and Development (2020) Reprogramming anti-tumour therapy responses by locus selective manipulation of the epigenome in breast cancer (2020-2024) Integrated Process Intensification Facility (2008) His collaborative network extends across multiple institutions and research groups, with particular connections to researchers working on cancer immunotherapy, drug delivery systems, and molecular imaging techniques. Dr. Norret's work appears to be centered in well-equipped research facilities that support both fundamental chemical research and translational biomedical studies.

Yuben MoodleyView profile

Professor

• Idiopathic Pulmonary Fibrosis
• Lung fibrosis
• Interstitial Lung Disease
• +5 more

Professor Yuben Moodley is a distinguished academic and researcher at The University of Western Australia Medical School, where he serves in the Department of Internal Medicine. He is an active consultant Respiratory Physician at Fiona Stanley Hospital and holds leadership positions including Deputy Director of the Institute of Respiratory Health. Professor Moodley is a world-renowned expert in pulmonary fibrosis and interstitial lung diseases. His research focuses on cellular therapy for lung disease, lung fibrosis, and regenerative medicine. He has conducted seminal studies including the first-ever research on signal transduction through the interleukin-6 receptor in Idiopathic Pulmonary Fibrosis (IPF), and pioneering work using stem cells from human umbilical cord and placental amnion cells to treat animal models of lung diseases. His current research investigates circulating monocytes in IPF progression, biomarker levels in patients on antifibrotics, miRNA profiling in extracellular vesicles, and spatial transcriptomics of early lung injury. Professor Moodley serves as Senior Editor for Respirology, a major journal in the field with an impact factor of 6.4. He is actively involved in developing clinical guidelines as a member of writing teams for Thoracic Society of Australia New Zealand Australasian guideline documents on interstitial lung diseases. He also serves on the inaugural national steering committee of the Australian Lung Foundation. Chief Investigator on NHMRC Centre of Research Excellence in Pulmonary Fibrosis (2023-2028) Lead coordinator for Internal Medicine in Medicine Year 3 (MD3) Deputy Director of the Institute of Respiratory Health His research has led to clinical trials for treating premature babies with bronchopulmonary dysplasia in Melbourne and has established connections between lung cancer RNA and progressive IPF. He has secured substantial research funding from NHMRC, Department of Health (Western Australia), Pfizer, and Royal Perth Hospital Medical Research Foundation.

Jeff HolstView profile

Professor

• Cancer Biology
• Cell Metabolism
• Breast Cancer
• +5 more

Professor Jeff Holst is a prominent cancer researcher at the University of New South Wales (UNSW Sydney), specializing in cancer metabolism and translational oncology. He holds a Professorship in the School of Biomedical Sciences, Faculty of Medicine and Health, and serves as Director of Engagement and Director of the Adult Cancer Program. His research focuses on metabolic pathways in cancers such as melanoma, glioblastoma, breast, and prostate cancer, with an emphasis on amino acid metabolism and therapeutic development. Research Interests: Dr. Holst explores cancer cell metabolism, particularly amino acid uptake and metabolism, and their role in tumor growth. His lab develops novel methods like 3D explant models for metabolomics and therapeutic screening. Recent work includes targeting glutamine addiction in triple-negative breast cancer and anti-androgen resistance in prostate cancer. Grants & Funding: He leads major grants including NHMRC Ideas Grants, Tour de Cure Senior Research Grants, and Cancer Council NSW Project Grants. Notable projects include personalized therapy for triple-negative breast cancer, immunotherapy development for glioblastoma, and ex vivo clinical trial platforms for breast cancer. Teaching & Engagement: He teaches pharmacology courses (PHAR3251, PHAR3111) at UNSW, focusing on cancer therapeutics. His engagement roles include Strategic Advisory Committee membership in the UNSW Cancer Theme, emphasizing translational research and clinical impact. Labs & Teams: The Translational Cancer Metabolism Laboratory develops therapeutics targeting metabolic vulnerabilities in cancer. Collaborative projects involve partnerships with institutions like the Charlie Teo Foundation and Avner Pancreatic Cancer Foundation.

Xuesong LiView profile

Research Fellow

• Machine Learning
• 3D Reconstruction
• Object Detection
• +5 more

Xuesong Li is a Research Fellow at Australian National University (ANU) and CSIRO, focusing on machine learning and 3D scene reconstruction. His research integrates autonomous systems, dynamic/static scene modeling, and object detection through innovative approaches like Neural Radiance Fields (NeRF). Previously, he worked at Huawei (Shanghai) on autonomous driving technologies involving LiDAR point cloud analysis. He holds a Ph.D. in Robotics from UNSW Sydney (2020), with a thesis centered on object detection for intelligent robots. Education: Ph.D. in Robotics, UNSW Sydney (2020) Research Interests: Machine learning applications in 3D reconstruction (e.g., dynamic/static scenes, reflective objects), spatial transcriptomics analysis, crop biomass estimation via multi-modal datasets, and autonomous system development. His work bridges computer vision with real-world challenges in agriculture, robotics, and medical imaging. Publications Trends: Recent work emphasizes cross-domain knowledge transfer, long-tailed recognition, and real-world 3D reconstruction challenges. Notable contributions include the MMCBE dataset for crop biomass prediction and AGP-Net for spatial transcriptomics analysis. Awards: None explicitly mentioned. Advising & Collaborations: Actively recruiting visiting PhD and master’s students in machine learning and 3D reconstruction. Collaborates with institutions like CSIRO and Huawei, focusing on applications in autonomous systems and precision agriculture. Labs/Teams: Involved with ANU’s Division of Ecology and Evolution and CSIRO’s research groups, leveraging interdisciplinary approaches to tackle complex problems in robotics and environmental science.

Dharmesh D BhuvaView profile

Research Fellow

• Computational Biology
• Spatial Transcriptomics
• Systems Biology
• +3 more

Dr Dharmesh D Bhuva is an NHMRC Emerging Leadership Fellow (EL1) at the Frazer Institute, University of Queensland. His research focuses on systems biology approaches to understand gene regulation and signaling in health, disease, and development, with an emphasis on spatial transcriptomics and computational methods for molecular data analysis. He completed his PhD in Mathematics and Statistics at the University of Melbourne (2020), developing novel methods for cancer systems biology. Bhuva has secured over $3.25M in funding, including NHMRC and MRFF grants, and developed widely used bioinformatics tools (e.g., vissE, mastR) with over 160,000 downloads. Research Interests His work spans computational biology, spatial transcriptomics, and bioinformatics tool development. Key areas include: Normalization of spatial molecular datasets Gene expression analysis in cancer systems Functional enrichment visualization (vissE) Molecular signatures in SARS-CoV-2 infection Grants & Awards NHMRC Emerging Leadership Fellowship (EL1) MRFF Grant Recipient Advising & Mentorship Current PhD student supervisor; co-supervised 2 successful MSc Bioinformatics students. Delivered computational biology workshops (e.g., WEHI Masterclass 2021, University of Melbourne). Labs & Collaborations Associated with the Frazer Institute and the South Australian Immunogenomics Cancer Institute (SAiGENCI). Collaborates widely on projects involving spatial transcriptomics, cancer systems biology, and infectious disease genomics.

• Dermatology
• Medical Research
• Artificial Intelligence in Healthcare
• +3 more

Nicholas Muller is a Casual Academic at the Medical School, University of Queensland. His research focuses on dermatology, cancer prognosis, and the application of artificial intelligence in medical diagnostics. He collaborates on projects involving melanoma modeling, dermatopathology, and genetic analysis of skin conditions. Key research areas include improving skin cancer care pathways, developing AI tools for dermatological diagnosis, and studying genetic interactions in wound healing. His work bridges clinical practice with technological innovation, emphasizing the importance of consensus in diagnostic labeling for AI systems. Recent publications address adjuvant immunotherapy extensions for melanoma, discrepancies in AI vs. pathologist lesion classification, and spatial transcriptomics in melanoma metastasis. His research often involves interdisciplinary teams and has been presented at major conferences like the EADO Congress and ESDR Meeting. No scientific awards or grants are explicitly mentioned in the provided text. No student advisement records are listed.

• Breast Cancer
• Colorectal Cancer
• Telepathology
• +7 more

Professor Pathmanathan Pathmanathan is a distinguished academic and clinical expert in Anatomical Pathology. He is affiliated with Monash University's Jeffrey Cheah School of Medicine and Health Sciences as a Professor of Anatomical Pathology, a position he has held since April 2009. He also holds significant roles outside academia, serving as Senior Consultant Pathologist and Laboratory Director at Sime Darby Medical Centre, Subang Jaya. Additionally, he holds adjunct and honorary professorial appointments at Manipal University (Manipal campus) and the University of Malaya Faculty of Medicine, respectively. Professor of Anatomical Pathology, Monash University Adjunct Professor of Pathology, Manipal University Honorary Professor of Pathology, University of Malaya Senior Consultant Pathologist & Laboratory Director, Sime Darby Medical Centre He received his medical education from the University of Malaya in 1978 and earned his Master of Pathology with distinction. Notably, he was the first and remains among the few to receive a distinction for a doctoral thesis in the Faculty of Medicine at the University of Malaya. His research focuses on breast and colorectal cancer , telepathology , and digital imaging . These interests reflect his commitment to advancing diagnostic pathology through technology and molecular insights. His work bridges clinical practice with innovation in digital pathology education and cancer genomics. The recent publications highlight a strong trend in molecular oncology, particularly in breast cancer genomics (e.g., PALB2 and APOBEC3B studies), digital pathology education, and the therapeutic potential of natural compounds in neuro-oncology. His research integrates genomics, proteomics, and digital technologies to improve cancer diagnosis and treatment. Professor Pathmanathan has received numerous accolades, including: Fellow of the Royal Colleges of Pathologists (UK) Fellow of the Royal Australasian College of Pathologists Active Member of the College of American Pathologists He has served as a consultant to prestigious international bodies such as the International Atomic Energy Agency (IAEA), the Regensburg Tumour Registry, and the Lineberger Comprehensive Cancer Center in North Carolina. With over 200 peer-reviewed publications and editorial board membership in the journal Pathology , he plays a significant role in shaping the field. Although no formal students are listed, his leadership in research and education suggests mentorship of numerous trainees. He is also involved in advancing pathology education through digital platforms and international collaboration. Professor Pathmanathan leads or contributes to multidisciplinary research teams focused on cancer pathology and digital diagnostics. His work with international institutions indicates active collaboration in global oncology research networks. His role as Laboratory Director underscores his leadership in clinical pathology teams.

• Plant Pathology
• Agricultural Science
• Remote Sensing
• +5 more

Dr. Ayalsew Zerihun is a Research Fellow at Curtin University's School of Molecular and Life Sciences (MLS), affiliated with the Muresk Department of Applied Biosciences and the Centre for Crop Disease Management (CCDM). Their work focuses on integrating molecular biology, remote sensing, and ecological modeling to address challenges in crop disease management, water resource dynamics, and climate change impacts. Key areas include fungal pathogen resistance mechanisms, precision agriculture strategies, and environmental hydrology. Dr. Zerihun has collaborated extensively on projects involving wheat pathogens ( Pyrenophora teres ), water storage dynamics in wetlands, and the ecological implications of agricultural practices. Research interests span plant-pathogen interactions, remote sensing applications in agriculture, and climate-driven ecosystem responses. Recent work emphasizes optimizing fungicide resistance management, quantifying gene flow in pathogen populations, and leveraging satellite data for hydrological modeling. Their interdisciplinary approach bridges laboratory-based molecular studies with field-scale environmental assessments. Publications highlight contributions to understanding spatial-temporal patterns of crop diseases, the socioeconomic dimensions of fungicide use in developing regions, and the environmental impacts of large-scale infrastructure like the Grand Ethiopian Renaissance Dam. Collaborations include institutions such as the University of Western Australia, CSIRO, and international partners in Africa and Asia.

Feng LiuView profile

Assistant Professor

• Machine Learning
• Hypothesis Testing
• Trustworthy Machine Learning
• +3 more

Feng Liu is an Assistant Professor at the Decision Systems and e-Service Intelligence (DeSI) Lab within the Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS). He also serves as a Visiting Scientist at RIKEN-AIP, Japan. His academic journey includes a PhD in Computer Science from UTS (2020), an MSc in Probability and Statistics from Lanzhou University (2015), and a BSc in Mathematics from the same institution (2013). His educational background includes: Ph.D. (2020), Computer Science, University of Technology Sydney, Australia M.Sc. (2015), Probability and Statistics, Lanzhou University, China B.Sc. (2013), Mathematics, Lanzhou University, China Feng Liu's research centers on developing trustworthy intelligent systems through hypothesis testing and reliable knowledge transfer across domains. His work spans two-sample testing for distribution comparison, transfer learning for knowledge adaptation across domains, and defending against adversarial attacks to improve model robustness. His approach combines theoretical foundations with practical applications, particularly in domain adaptation with interval-valued data and secure multi-source learning. His recent publications demonstrate a strong focus on trustworthy machine learning, with significant contributions to interval-valued data processing, novel class discovery under unreliable sampling conditions, and privacy-preserving domain adaptation. His work bridges theoretical machine learning with practical applications in computer vision, bioinformatics, and recommender systems, showing a consistent pattern of addressing fundamental challenges in trustworthy AI. Among his notable recognitions are: Outstanding Reviewer Award of ICLR (2021) AAII Best Student Paper Award (2020) Best Student Paper Award from IEEE International Conference on Fuzzy Systems (2019) UTS-FEIT HDR Research Excellence Award (2019) Publons Peer Review Awards - Top 1% reviewers in Computer Science (2019, 2018) Dr. Liu has actively contributed to the academic community through supervision and service. He has helped supervise four students who collectively produced eight academic papers, three of which were published in CORE Tier A* venues. His service includes program committee roles for major conferences including NeurIPS, ICML, ICLR, and AAAI, as well as reviewing for prestigious journals like IEEE-TPAMI and IEEE-TNNLS. His research has been supported by various grants, including the Australian Laureate postdoctoral fellowship. As part of the AAII at UTS, Dr. Liu contributes to a vibrant research environment focused on advancing artificial intelligence through interdisciplinary collaboration. His work in the Decision Systems and e-Service Intelligence Lab addresses real-world challenges in trustworthy machine learning, with applications spanning healthcare, robotics, and secure information systems.

Alistair ForrestView profile

Professor

• Genomics
• Bioinformatics
• Transcriptomics
• +5 more

Professor Alistair Forrest is a Professor at the University of Western Australia based at the Harry Perkins Institute of Medical Research, serving as Associate Director Scientific and Co-Chair of the Research Leadership Team for the Genome Biology and Genetics Program and Cancer Program. His educational background includes a BSc(Hons) in Biotechnology from Murdoch University (1993), a Masters in Information Technology from Queensland University of Technology, and a PhD in Bioinformatics from the University of Queensland. Professor Forrest's research bridges genomics, bioinformatics, and clinical oncology, with expertise in next-generation sequencing (RNA-seq, CAGE, ChIP-seq) to investigate mammalian transcriptional networks, non-coding RNA biology, and cancer biomarker discovery. His work focuses on translating basic genomic findings into clinical applications for identifying novel drug targets and diagnostic markers in cancers including mesothelioma and hepatocellular carcinoma. Analysis of his recent publications (2023-2025) reveals a dominant focus on cancer immunotherapy mechanisms, tumor microenvironment dynamics, and spatial transcriptomics. Key themes include immune checkpoint therapy response biomarkers, clonal lymphocyte expansion, macrophage-mediated tumor progression, and molecular pathways underlying drug resistance in solid tumors. He has received significant recognition including: CJ Martin Fellowship Cancer Research Trust Senior Cancer Research Fellowship Professor Forrest leads genomic research initiatives at the Perkins Institute, leveraging his experience from coordinating the international FANTOM5 consortium (250+ scientists across 20 countries) to advance cancer systems biology. His current work integrates multi-omics approaches with clinical collaborations to develop novel therapeutic strategies.

• Bioinformatics
• Computational Biology
• Epigenetics
• +5 more

Dr. Ning Liu is a Postdoctoral Research Fellow at the South Australian Immunogenomics Cancer Institute (SAiGENCI) within the Faculty of Health and Medical Sciences at the University of Adelaide. As a bioinformatician and computational biologist, Dr. Liu specializes in developing computational tools for epigenetics and transcriptomics research, with particular expertise in next-generation sequencing data analysis including ChIP-seq, ATAC-seq, Hi-C, RNA-seq, single cell RNA-seq, and spatial transcriptomics. Dr. Liu's research focuses on developing novel computational methods to study the human genome in the context of transcriptomics and epigenomics. Currently, Dr. Liu maintains three Bioconductor software packages: standR for spatial transcriptomics analysis of GeoMx DSP data, hoodscanR for cellular neighborhood detection in spatial transcriptomics, and scider for modeling global cell density in spatial transcriptomics data. With strong emphasis on translating biological insights to medical applications, Dr. Liu's work bridges computational methodology with clinical relevance in cancer research and immunology. Dr. Liu is eligible to supervise Masters and PhD students as a Co-Supervisor, reflecting their established expertise in bioinformatics and computational biology. Their research has resulted in numerous publications focusing on spatial transcriptomics, cancer immunology, and computational tool development, with applications in understanding tumor microenvironments and immunotherapy response. Dr. Liu's scholarly contributions demonstrate a consistent focus on spatial biology methodologies applied to cancer research, particularly head and neck cancer. Their publications reveal expertise in developing computational frameworks that address technical challenges in spatial transcriptomics while providing biological insights with potential clinical applications in immunotherapy. As a research supervisor, Dr. Liu contributes to the academic community by mentoring graduate students in computational biology techniques and applications. Their work environment at the Adelaide Health and Medical Sciences building on the West End Health Precinct provides access to state-of-the-art facilities supporting their computational research in cancer immunogenomics.

• Mucosal Immunology
• Gut Microbiome
• Immune System Regulation
• +4 more

Dr Amanda Cox is a Senior Lecturer in the School of Pharmacy and Medical Sciences at Griffith University, where she also serves as a Research Leader in the Institute for Biomedicine and Glycomics. She holds dual leadership roles as an academic lead for both Griffith University's Central Facility for Genomics and the Gut Health Clinic through the Allied Health Clinics. Her research career spans over a decade at Griffith University, progressing from Research Fellow to her current Senior Lecturer position. Her educational background includes: BBiomedSci (Hons) from University of Newcastle, Australia PhD from University of Newcastle, Australia Grad Cert Tertiary Teaching from University of Newcastle, Australia Dr Cox's research focuses on applied mucosal immunology, with particular emphasis on how the gut microbiome contributes to immune and inflammatory activity in various health and disease states, especially metabolic diseases. Her work uniquely integrates multiple technologies including multiparametric risk scoring, direct-counting gene expression analyses, and in situ spatial proteomic and transcriptomic analyses to assess immune pathways in disease pathogenesis and individual responses to interventions. Analysis of her recent publications reveals a clear trend toward spatial biology techniques applied to immunological questions, particularly examining inflammatory responses in conditions like eosinophilic chronic rhinosinusitis and nasal polyposis. Her work increasingly integrates machine learning with molecular profiling while maintaining strong connections to clinical applications, especially in metabolic disease and exercise physiology contexts. Dr Cox actively supervises multiple graduate students across immunology and related fields, with current projects examining tissue characterisation in eosinophilic oesophagitis and anti-cancer immunity. Her grant portfolio demonstrates substantial funding from pharmaceutical partners including Sanofi, Regeneron, and Glaxo Smith Kline, as well as university and government sources, supporting research in spatial mapping of type 2 inflammation, gut microbiome interactions, and effects of compounds like fucoidan and cannabidiol. She leads research teams within the Institute for Biomedicine and Glycomics and collaborates extensively with clinical specialists across multiple disciplines, industry partners in diagnostics and pharmaceuticals, and academic researchers. Her work with the Central Facility for Genomics supports advanced molecular analysis across the university community.