Michael Morris is a Senior Lecturer in Embryonic Stem Cells at the School of Medical Sciences, University of Sydney. He is affiliated with the Bosch Institute and a member of the Sydney Nano Institute. His research focuses on embryonic stem cell biology and membrane protein structure prediction. Key areas include understanding stem cell differentiation mechanisms, embryo development milestones, and computational tools for membrane protein modeling. Research interests span embryogenesis (blastocyst formation, gastrulation, neurogenesis) and membrane protein structural analysis. His work combines experimental embryology with bioinformatics, addressing challenges in regenerative medicine and drug discovery. Recent publications highlight L-proline's role in stem cell differentiation and embryo viability, biomaterial-based stem cell culture systems, and phage display for anti-cancer drug development. He advises students like Kate Carey on bovine oocyte maturation projects. Grants include equipment for laser microdissection systems and studies on ES cell differentiation. His interdisciplinary approach bridges stem cell biology, bioengineering, and computational biology.
Dr. Shuo Zhou is a Lecturer in Machine Learning at the University of Sheffield's School of Computer Science, holding dual roles as Deputy Head of AI Research Engineering. He specializes in interpretable machine learning for medical imaging and neuroimaging analysis, with contributions to open-source tools like PyKale. Education: MSc Advanced Computer Science (2017), University of Sheffield PhD in Machine Learning (2022), University of Sheffield Research Interests: Interpretable ML methods for clinical decision-making Medical image analysis (cardiac MRI, fMRI) Statistical learning theory with domain adaptation Grants & Leadership: Co-PI: EPSRC grant (£445k) for neuroimaging biomarkers in chronic pain (2023-2025) PI: Turing 2.0 project (£20k) for machine learning infrastructure (2022-2023) Labs & Teams: Core developer of PyKale open-source library Member of Machine Learning research group
Dr. Merran Findlay is a Senior Research Fellow at UNSW Sydney and Clinical Associate Professor at The University of Sydney, specializing in cancer nutrition for over 25 years. She serves as Board Director for the Clinical Oncology Society of Australia and Australia and New Zealand Head and Neck Cancer Society. Her work bridges clinical practice with implementation science in nutrition assessment, malnutrition management, and value-based healthcare. Senior Research Fellow – Living Better With and After Cancer, Maridulu Budyari Gumal (SPHERE) Cancer Clinical Academic Group Clinical Appointments: Royal Prince Alfred Hospital, Chris O’Brien Lifehouse Leadership Roles: Co-founder of Implementation Science networks at UNSW and The University of Sydney Her research focuses on nutrition interventions in head and neck cancer, sarcopenia assessment, and evidence-based guideline implementation. She explores how nutritional status affects clinical outcomes, treatment complications, and healthcare costs through international multicenter studies and digital health innovations. Current research trends show strong emphasis on head and neck cancer nutrition , sarcopenia biomarkers , and implementation science for guideline adoption. Her work spans nutrition assessment , enteral nutrition , and health services research , with recent articles addressing AI integration in quality indicators and sarcopenia severity quantification. Dr. Findlay leads implementation programs like the Sydney Health Partners Implementation Science Program and conducts extensive audits including INFORM (International Nutrition Audit in Foregut Tumors). Her collaborative efforts involve developing CT-based sarcopenia metrics and optimizing nutrition counseling frequency during cancer treatment.
Dr. Marco Monopoli is a Senior Lecturer at the Department of Chemistry, Royal College of Surgeons in Ireland (RCSI). His research focuses on understanding bio-nano interactions, particularly the protein corona formation around nanomaterials and its implications for nanomedicine, nanotoxicology, and environmental impact. He leads a multi-disciplinary team developing methods to characterize nanoparticle-protein corona complexes using advanced physicochemical and proteomic techniques. Academic Positions: Senior Lecturer (2016–present), Postdoctoral Researcher (2009–2015) Education: PhD in Pharmacology (University College Dublin, 2005–2009), Master’s in Pharmaceutical Biotechnology (University of Modena and Reggio Emilia, 2005) Dr. Monopoli’s research interests include biomaterials, drug delivery systems, and chronic disease diagnostics. He has pioneered studies on how nanoparticle surface properties influence biological interactions, with applications in personalized medicine and environmental safety. His grants include funding from Science Foundation Ireland (SFI), European Commission (EU Horizon), and Enterprise Ireland for projects like Glyco-Nanoparticles for Nanomedicine and Sustainable Nanomaterial Design. Recent publications focus on nanoparticle corona dynamics, biomarker discovery, and immunomodulation strategies. Dr. Monopoli is actively involved in educational initiatives, holding a Postgraduate Diploma in Health Professional Education from RCSI.
Distinguished Professor James Dale is a Professor in the School of Biology & Environmental Science at Queensland University of Technology (QUT). He holds a PhD and BScAgr from the University of Sydney. As Program Leader (Banana Biotechnology) and inaugural Director of QUT’s Centre for Tropical Crops and Biocommodities (CTCB), he leads global research in agricultural biotechnology, focusing on disease-resistant and nutrient-enhanced crops like bananas and sugarcane. His research interests span biofortification (e.g., vitamin A-enriched bananas), genetic engineering for disease resistance (Fusarium wilt, viruses), and molecular farming for medical proteins. He has pioneered transgenic solutions for tropical crops and collaborates internationally, including with African institutions like Uganda’s National Agricultural Research Organisation. Key achievements include developing GM banana varieties with biofortification and disease resistance traits, leading a Bill & Melinda Gates Foundation-funded project, and commercializing biotech innovations through ventures like Leaf Energy. Awards include an Order of Australia (AO) and ATSE Fellowship. He has supervised over 25 PhD students and secured major grants, advancing sugarcane biofuel technologies and tropical crop improvement. His work bridges lab-to-field translation, emphasizing socio-economic impacts in developing regions.
Prof. Thomas Budde is a Professor at the Institute of Physiology I (Neurophysiology), University of Muenster, Germany. He is actively involved in the 'Cells in Motion' research initiative. His work focuses on the molecular and cellular physiology of the thalamocortical system, with expertise in cellular imaging and electrophysiology. Key research themes include analysis of neuronal network function, oscillations, neuroinflammation, and ion channel biology. Research Interests: Thalamocortical system dynamics, ion channel modulation, neuroinflammation, and electrophysiological network analysis. Techniques: Electrophysiology, PET imaging, fluorescent probes, computational modeling of neuronal activity. His publications highlight contributions to understanding K⁺ channel roles in tumor cells, autoimmune encephalomyelitis, and thalamic oscillatory activity. Recent work explores anesthesia's impact on BOLD signals and HCN4 channel regulation in brain networks. Collaborations include imaging network projects and drug development for neuroinflammatory conditions. Labs/Teams: Participates in the Multiscale Imaging Centre and collaborative research networks targeting neuroinflammation and ion channel dysfunction.
Raj Sunderraman is a Professor of Computer Science at Georgia State University, specializing in databases, data mining, and logic programming. His research focuses on deductive databases, semantic web technologies, bioinformatics, and graph data modeling. He holds a B.E. (Honors) in Electronics Engineering from Birla Institute of Technology and Science, an M.Tech. in Computer Technology from Indian Institute of Technology Delhi, and a Ph.D. in Computer Science from Iowa State University. His research projects include NeuronBank—a tool for cataloging neuronal circuitry—and work on scalable graph storage systems for big data. He has developed a programming environment for protein structure data and contributed to the paraconsistent relational data model. His teaching and research emphasize practical applications in bioinformatics, geoinformatics, and software systems. Key areas of exploration include reasoning with incomplete/inconsistent data, deductive database semantics, and graph query languages. Recent work involves lambda calculus visualization tools and 3D perception benchmarks for UAVs. He has authored over 150 publications and a textbook on Oracle 10g programming.
Prof. Dr. Rebecca Buller is a leading researcher at the ZHAW School of Life Sciences and Facility Management , specializing in biocatalysis and enzyme engineering. Her work bridges computational methods with industrial applications, focusing on sustainable chemical synthesis and food safety. Research Interests : Biocatalysis, enzyme design, halogenation reactions, mycotoxin reduction, 3D bioprinting inks, machine learning-driven enzyme optimization. Key Projects : National Competence Center of Research Catalysis , Microbial Epimerases for Drug Synthesis , Reduction of Mycotoxins in Food Streams , and Excelzyme (university-industry collaboration). Publications highlight advancements in: Temperature-induced enzyme stabilization (2025) Computational protein design (2024) Mutational path enrichment (2024) Mycotoxin detoxification (2024) Industrial biocatalysis (2023-2024) Collaborations span institutions like the University of Basel, ETH Zurich, and industry partners in Switzerland. Her work integrates computational analysis, directed evolution, and real-world applications in pharmaceuticals and food safety.
Mudassar Iqbal holds the position of Senior Lecturer in Health Data Sciences within the Division of Informatics, Imaging & Data Sciences. His research focuses on integrating computational methods with biological data to study gene regulatory networks, circadian rhythms, and cancer biology. He earned a Doctor of Philosophy from the University of Kent in 2009, specializing in machine learning applications for protein-protein interaction prediction. His work contributes to UN Sustainable Development Goals related to health and innovation. Key research interests include spatial transcriptomics, single-cell multiomics analysis, and computational modeling of biological systems. His recent studies explore age-related gene networks in AML, chronotype associations with psoriasis, and algorithm development for integrating imaging and genomic data. He collaborates internationally on projects analyzing gene expression, circadian biology, and cancer genomics. His methods like CellPie and TriTan advance scalable tools for spatial and multi-omics data analysis. Research affiliations include the Digital Futures, Lydia Becker Institute, and Christabel Pankhurst Institute. He has supervised three academic works and published widely in journals like Nucleic Acids Research and eLife , focusing on bioinformatics-driven discoveries in health and disease.
Dr. María Gaibar Alonso is an Associate Professor at the UCJC, specializing in Biomedicine and Health Sciences. She holds a PhD from the University of Alcalá and has conducted research at institutions like the Systems Biology Laboratory (UAH) and IdiPAZ. Her research focuses on cancer pharmacogenetics, immunotherapy, and human genetic variability. She has over 25 publications and 27 funded projects, including work on microRNA biomarkers and therapeutic efficacy prediction. She is also recognized for her teaching excellence, winning awards for innovative pedagogy in Pharmacy and Biotechnology degrees. Education: Bachelor's in Biology (University of Alcalá de Henares, 1999) PhD in Biomedicine and Health Sciences (2011) Postdoctoral Research (University of Alcalá, 2022) Expert Title in Cancer Immunology (2022) Research Interests: Her work bridges genetics and oncology, with emphasis on personalized medicine. Key areas include genetic markers for treatment response in breast and colorectal cancers, and the role of microRNAs in immunotherapy toxicity. She collaborates with groups like IIB Alberto Sols and IdiPAZ to advance translational research. Teaching & Leadership: Coordinates courses in Genetics and Biomedicine across multiple universities. Led initiatives like the 'Integration Activities Between Subjects' program at UEM and contributed to Bologna model training. Her teaching innovations focus on idea-based learning and cross-disciplinary knowledge integration.
Daniel José Franco Ruiz is a Professor in the Department of Chemical Engineering at the Higher Technical School of Engineering, Universidade de Santiago de Compostela. His research focuses on food chemistry, biotechnology, and sustainable food systems with particular emphasis on meat science, proteomics, and bioactive compounds. He leads the TIBD Research Group (Technologies for the Development of Industrial Bioproducts). Franco Ruiz holds a doctoral degree from the same university (2002), with a thesis on oilseed processing and ethanol extraction. His educational background includes advanced studies in chemical engineering and food technology. Key research areas include proteomic analysis of meat quality, antioxidant properties of natural compounds (e.g., phlorotannins from seaweed), and development of novel food products through green technologies. He has pioneered tools like PhenoExam for gene-phenotype analysis and contributed to understanding pre-slaughter stress effects on meat proteins. Publications span food safety, animal welfare, and sustainable production systems. Notable work includes studies on Celta pig breed characteristics, lipid profiles in meat products, and proteomic innovations. Franco Ruiz collaborates extensively on projects like ACE-TICs and has explored digital strategies for education and animal husbandry practices. He is actively involved in industry-relevant research, bridging academic insights with practical food industry applications. His lab focuses on cutting-edge proteomic techniques (e.g., SWATH-MS) and bioinformatics tools, while addressing global challenges like functional food development and environmental sustainability in food processing. Franco Ruiz also advocates for improved animal welfare standards through scientific research.
Sam Wu is a Senior Lecturer in Exercise Science at Swinburne University of Technology's School of Health Sciences, where he has been instrumental in developing the Exercise Science degree program. He also holds an adjunct Associate Professor position at Shanghai University of Medicine and Health Sciences, demonstrating international academic collaboration. Dr. Wu's research focuses on exercise physiology with practical applications for athletic performance, aging populations, and clinical conditions. His work spans compression garments for recovery, pacing strategies in cycling, hormonal responses to training interventions, subjective exercise responses, respiratory control mechanisms, and exercise interventions for health improvement across diverse populations. His research integrates biomechanical analysis with physiological measurements to develop evidence-based exercise protocols. Analysis of his recent publications reveals a strong emphasis on translational research connecting laboratory findings to practical applications. His work frequently examines biomechanical aspects of movement, physiological responses to exercise stressors, and innovative interventions for performance enhancement and health maintenance. A notable trend is his growing focus on the gut-muscle axis in aging populations and the role of extracellular vesicles in exercise adaptation. ECR SUPRA Award (2018) Dr. Wu actively supervises multiple PhD students and has secured substantial grant funding from industry partners including Lallemand Health Solutions, Cannvalate Pty Ltd, and BASF. His collaborative research network spans Australia and international institutions, with particular emphasis on translating research findings into practical applications for athletes, older adults, and clinical populations. He has developed web-based repository systems for muscle strength monitoring and investigated various nutritional and mechanical interventions for performance enhancement and recovery.
Sami Ghnimi is a Lecturer and Researcher in Food Process Engineering at ISARA (Engineering school in agronomy, food, environment) and an associated researcher at the Laboratory of Automation, Process Engineering and Pharmaceutical Engineering (LAGEPP UMR 5007) at Claude Bernard Lyon 1 University and CNRS. His research spans food engineering, sustainable packaging, and environmental impact assessment of food systems. Dr. Ghnimi's research interests focus on biodegradable or recyclable active polymers, micro/nanoencapsulation technologies, life cycle analysis, and food process engineering. His work bridges materials science and food technology to develop sustainable solutions for food preservation and packaging. He has particular expertise in creating antimicrobial packaging systems using natural compounds and nanoemulsions, as well as analyzing the environmental footprint of alternative protein sources and food systems. His publication record shows a strong trend toward sustainable food systems research, with recent articles focusing on biodegradable active packaging materials, life cycle assessment methodologies, alternative protein technologies, and consumer acceptance of novel food products. The research demonstrates an interdisciplinary approach combining food science, materials engineering, environmental science, and consumer behavior analysis to address sustainability challenges in the food sector. Dr. Ghnimi coordinates the European Master's program in Sustainable Food Systems and serves as coordinator for the 'Sustainable Developments in Food Industries' specialization track in the engineering curriculum. His teaching includes Life Cycle Analysis, Sustainable Transformations and Packaging, Food Packaging Technology, and Food Process Engineering. His current research projects include A-Block (2024-2027) on nano-enabled antimicrobial food packaging incorporating natural bioactives, FABIONANOCAP (2021-2024) developing biodegradable films for food biopreservation, and NEMOS (2022-2024) creating a new educational model for sustainability skills through service learning. These projects involve collaborations with institutions across Europe and the Mediterranean region. Dr. Ghnimi has been with ISARA since 2018, following previous academic positions at Ghent University Global Campus in South Korea (2017-2018), UAE University (2013-2017), and Université de Strasbourg (2009-2013), demonstrating an international career trajectory in food engineering research and education.
John Perry is a Professor of Molecular Endocrinology at the University of Cambridge and an MRC Investigator at the MRC Epidemiology Unit. He co-leads the Early Life Aetiology and Mechanisms of Diabetes and Related Metabolic Disorders programme with Professor Ken Ong, focusing on human genetics approaches to understand links between early life growth, reproductive ageing, and later cardio-metabolic health. His work involves large-scale population studies and collaborations with researchers using animal and cellular models. Research Interests His research integrates genetic and epidemiological methods to explore: Genetic mechanisms of reproductive traits (puberty timing, menarche, menopause) Relationships between reproductive ageing and cardio-metabolic disease Role of hormonal pathways in metabolic health Translational applications of genetic findings for disease prevention Recent Article Trends Recent publications highlight genetic determinants of aging, obesity, cancer susceptibility, and neurodevelopmental processes. Key areas include proteomic aging, DNA repair pathways, cross-species obesity genetics, and functional genomics of reproductive traits using CRISPR and saturation editing techniques. Affiliations MRC Epidemiology Unit School of Clinical Medicine, University of Cambridge Cambridge Reproduction interdisciplinary network Cambridge Metabolic Network
Nikolay Malkin is a researcher at the University of Edinburgh specializing in machine learning, generative modeling, and computational biology. His work focuses on simulation-free methods for stochastic dynamics and optimal transport, particularly in applications like single-cell dynamics and protein structure prediction. Research Interests: Flow-based generative models, Schrödinger bridges, diffusion models, and their applications in high-dimensional biological data analysis. Key Contributions: Development of [SF] 2 M for cell dynamics modeling, generalized conditional flow matching (CFM) for improved generative tasks, and subtrajectory balance (SubTB) for GFlowNet stability. Collaborations: Active collaboration with Yoshua Bengio, Alexander Tong, and other researchers in advancing flow matching and generative modeling techniques. Publishing Trends: Recent papers emphasize protein backbone generation, tree-structured Schrödinger bridges, and velocity-growth dynamics in single-cell populations.
