Associate Professor Adam Irwin is an NHMRC Emerging Leadership Fellow and Associate Professor in Infectious Diseases at the University of Queensland (UQ) and Queensland Children’s Hospital. He holds positions within the UQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences. His work focuses on early sepsis recognition, antimicrobial stewardship, and pediatric infectious diseases. Dr. Irwin completed his medical degree at the University of Birmingham and his PhD in 2016 from the University of Liverpool’s Institute of Infection and Global Health. He has led initiatives like the Queensland Paediatric Sepsis Program, recognized with a Global Sepsis Alliance Award and Queensland Health Excellence Awards. His research spans sepsis pathway implementation, antimicrobial resistance trends, and rapid diagnostic tools. Notable grants include NHMRC funding for studies on multi-drug resistant infections and Children’s Hospital Foundation support for genomics and antimicrobial stewardship projects. He supervises PhD candidates in areas like bloodstream infections and molecular diagnostics. Dr. Irwin collaborates across institutions, contributing to projects such as the RAPIDS Study Group and the PAEDS surveillance network. Awards include the NHMRC Emerging Leadership Fellowship and recognition for sepsis program excellence. His work emphasizes translating research into clinical practice, improving outcomes for critically ill children through evidence-based protocols and innovative diagnostics.
Mikael Thollesson is a Senior Lecturer at Uppsala University, affiliated with the Department of Organismal Biology; Systematic Biology and Klubban’s Biological Station. His research focuses on evolutionary biology, phylogenetics, taxonomy, and molecular biology, particularly in marine and freshwater sponges (Porifera), bacterial pathogens, and computational methods in evolutionary analysis. Evolutionary Biology Marine Biology Taxonomy His recent publications highlight trends in sponge biodiversity, phylogeography, bacterial horizontal gene transfer, and mitochondrial gene evolution. Key articles include studies on Swedish demosponge faunas, Silene sect. Arenosae systematics, and computational tools like SPRIT for detecting gene transfers. No explicit awards or grants are mentioned.
Dr. Mihai Pop is a Professor of Computer Science and Director of the University of Maryland Institute for Advanced Computer Studies (UMIACS). He holds appointments in the Department of Computer Science, UMIACS, and the Center for Bioinformatics and Computational Biology (CBCB). His research focuses on computational biology, metagenomics, and algorithm development for genomic data analysis. He received a Ph.D. in Computer Science from Johns Hopkins University (2000), followed by work at The Institute for Genomic Research (TIGR) developing genome assembly algorithms. Education: Ph.D., Computer Science, Johns Hopkins University, 2000. Research Interests: Bioinformatics, genomics, metagenomics, computational geometry, software testing. His lab develops tools for analyzing microbial communities and has pioneered methods for metagenomic assembly and analysis. Notable tools include the AMOS genome assembly toolkit. Recent Article Trends: Recent work emphasizes long-read sequencing, metagenomic profiling (e.g., TIPP3), and strain-level analysis (e.g., Strainy). He addresses challenges in scaling sequence-based searches and improving taxonomic resolution in large datasets. Awards: ACM Fellow (2019), ISCB Fellow (2022), UMD Excellence in Teaching Award (2015). Grants & Leadership: Co-leader of the Human Microbiome Project data analysis group. Active in diversity initiatives to promote inclusivity in computational fields. Labs/Teams: Pop Lab (pop-lab.org) focuses on computational methods for microbial genomics and metagenomics.
Angela D. Kent is a Professor in the Department of Natural Resources and Environmental Sciences at the University of Illinois Urbana-Champaign, where she also serves as Director of the Program in Ecology, Evolution, and Conservation Biology within the School of Integrative Biology. She is affiliated with the Carl R. Woese Institute for Genomic Biology. Her research focuses on microbial communities in agroecosystems and natural environments, particularly their roles in nitrogen cycling, soil health, and sustainable bioenergy production. Key research interests include microbial interactions in plant-microbe systems, the impact of genetic variation in crops on microbial processes, and the ecological and biogeochemical implications of soil microbiomes. She has authored over 99 publications and supervised datasets on topics such as denitrification dynamics, rhizosphere microbiome assembly, and microbial contributions to nitrogen retention. Dr. Kent has received the NACTA Educator Award (2012) and has contributed to high-impact studies on topics like microbial community responses to environmental stressors and the application of stable isotopes in bioenergy research. Her work bridges microbial ecology, agronomy, and environmental science, emphasizing practical solutions for sustainable agriculture and ecosystem management.
Michele Klingbeil is a Professor in the Department of Microbiology at the University of Massachusetts Amherst, where she leads the Klingbeil DNA Replication Laboratory. She received her PhD in Cell and Molecular Biology from the University of Toledo in 1996 and previously worked at Johns Hopkins School of Medicine before moving to UMass in July 2007. Her educational background includes: PhD in Cell and Molecular Biology, University of Toledo, 1996 Dr. Klingbeil's research focuses on the unique biology of trypanosomatid parasites, particularly Trypanosoma brucei , the causative agent of African sleeping sickness. Her laboratory investigates two main areas: (1) replication of the unusual mitochondrial DNA network called kinetoplast DNA (kDNA), and (2) nuclear DNA replication initiation. Her work on kDNA is particularly significant as this structure is essential for parasite survival but has no counterpart in mammalian hosts, making it an attractive drug target. She employs a combination of reverse genetics (RNAi), cell biology, and biochemistry to understand the replication and repair mechanisms of kDNA, with a special focus on a family of four DNA polymerases related to bacterial Pol I. Dr. Klingbeil's recent publications reveal her laboratory's deep investigation into mitochondrial DNA polymerases in trypanosomatids, with discoveries showing multiple polymerases having specialized functions in kDNA replication and repair. Her research has established that several of these polymerases are essential for parasite viability, opening new avenues for drug development. She has also made significant contributions to understanding the simplified Origin Recognition Complex in trypanosomatids compared to other eukaryotes. Dr. Klingbeil has received the Thomas G. Lessie Distinguished Lectureship Award for her impact on teaching at the graduate level. Her research is funded by the National Institutes of Health, U.S. Department of Agriculture, the Joeph P. Healey Endowment, and the University of Massachusetts Amherst. She has mentored numerous graduate and undergraduate students, including current PhD candidates Dave Bruhn, Jeniffer Concepción, and Juemin Luo, as well as visiting scholar Eva Vidal Rico. Her former students have gone on to positions at institutions including Dana Farber/Broad Institute, Regis College, and Flagship Ventures. The laboratory regularly participates in scientific conferences including the Molecular Parasitology Meeting at Woods Hole and the Kinetoplastid Molecular Cell Biology conference. Dr. Klingbeil teaches several courses including Parasitology (MICRO 590S), Parasitology Lab (MICRO 590L), Molecular Mechanisms of Pathogenesis (MICRO 797P), Advanced Cell Biology (MCB 641), and Writing in Microbiology (MICRO 360). Her laboratory organizes regular social events including pumpkin carving parties and outings to Six Flags New England and Mt. Sugarloaf.
Tanja Narancic is an Assistant Professor at the School of Biomolecular and Biomedical Science at University College Dublin (UCD). She is also an academic collaborator at the Bioeconomy Research Centre BiOrbic, where she coordinates multiple research projects among PIs, PostDocs, PhD students, and designs projects proposed by industrial partners. Dr. Narancic earned her PhD in Applied Microbiology from the University of Belgrade, Serbia in 2012, followed by postdoctoral research at the Institute of Molecular Genetics and Genetic Engineering in Belgrade. In 2013, she joined University College Dublin as a Postdoctoral Research Fellow under Prof. Kevin O'Connor, where she investigated microbial metabolic pathways using proteomics, metabolomics, and synthetic biology tools as part of FP7 and H2020 projects. She became a Research Fellow at BiOrbic in 2019 before advancing to her current position as Assistant Professor. Her research focuses on elucidating bacterial metabolism and leveraging synthetic biology tools to exploit bacteria for producing high-value products. Key research areas include: Proteomics, Metabolomics, and Transcriptomics for microbial pathway analysis Metabolic engineering for bioproduction Biocatalysis and enzyme optimization Protein engineering and purification Polyhydroxyalkanoate (PHA) production from waste streams Plastic upcycling and biodegradation technologies Dr. Narancic's publication record demonstrates a strong focus on converting plastic waste into valuable biodegradable materials through innovative biotechnological approaches. Her recent work has centered on developing microbial systems for upcycling polyethylene terephthalate (PET), polyolefins, and other recalcitrant plastics into polyhydroxyalkanoates (PHAs) and other high-value products. She has made significant contributions to understanding the metabolic pathways involved in plastic monomer conversion and has developed engineered strains with enhanced capabilities for plastic upcycling. As a principal investigator, Dr. Narancic leads multiple significant research projects including the Ad Astra Studentship (2023-2028), the UPLIFT project on sustainable plastics for food packaging (2021-2025), and the PROMOFER project (2024-2028) on optimizing PHB production. She also serves as a reviewer for numerous prestigious journals including Enzyme and Microbial Technology, Journal of Applied Microbiology, and Microbial Biotechnology. Her teaching portfolio includes coordination of multiple modules such as Bioprocessing, Metabolism and Disease, and SynBio for Bioeconomy, demonstrating her commitment to educating the next generation of scientists in both fundamental and applied aspects of biomolecular science.
Professor Matthias Mann is a world-leading scientist serving as Director of the Proteomics and Signal Transduction department at the Max Planck Institute of Biochemistry in Martinsried, Germany, and Director of the Proteomics department at the Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Denmark. With an h-index exceeding 277 and over 350,000 citations, he is recognized as the highest cited German researcher and one of the most influential scientists globally in proteomics. His educational background includes: Ph.D. in Chemical Engineering from Yale University (1988) Master's Degree in Physics from Georg August University Göttingen (1984) Bachelor's of Arts in Mathematics from Georg August University Göttingen (1982) Professor Mann's research focuses on advancing mass spectrometry-based proteomics to understand biological systems at the protein level. His work spans technological developments in mass spectrometry, bioinformatics and computational analysis, signal transduction and posttranslational modifications, and clinical proteomics applications for disease diagnosis and treatment. The Mann lab has pioneered groundbreaking methods like SILAC for quantitative proteomics and MaxQuant for proteome data analysis. Their vision is to translate proteomics knowledge into clinical practice for predictive, diagnostic, and preventive medicine, with recent work focusing on AI-guided platforms for analyzing proteomes from minimal tissue samples. Analysis of Professor Mann's recent publications reveals a strong trend toward clinical applications of proteomics, particularly in cancer research, metabolic diseases, and neurodegenerative disorders. His work increasingly integrates spatial proteomics, single-cell resolution techniques, and artificial intelligence approaches to uncover disease mechanisms and identify potential biomarkers, with a clear shift from basic technology development toward direct clinical applications and personalized medicine. Professor Mann has received numerous prestigious awards throughout his career: 2025: Elected member of the American National Academy of Sciences 2024: Dr. H.P. Heineken Award for Biochemistry and Biophysics 2023: Otto Warburg Medal 2019: Nominated member of the Bavarian Academy of Sciences 2013: Elected member of Leopoldina German National Academy of Sciences 2012: Körber European Science Award, Louis-Jeantet Foundation Prize for Medicine, Ernst Schering Prize, and Leibniz Prize Professor Mann leads a highly collaborative research team involved in multiple international networks including the Bill & Melinda Gates Foundation, Michael J. Fox Foundation for Parkinson's Research, CLINSPECT-M, and Munich Heart Alliance. His lab has mentored numerous successful researchers, with several former postdocs receiving prestigious ERC Starting Grants. The Mann group has developed innovative clinical proteomics pipelines for analyzing archived tissue specimens and body fluids, aiming to identify protein markers for early detection of diseases such as diabetes and cancer. The Mann lab operates across two major research centers with state-of-the-art mass spectrometry facilities. Their Clinical Knowledge Graph platform integrates multi-omics data with extensive metadata, creating an ecosystem for machine learning applications in proteomics. Current research focuses on developing highly sensitive methods that can profile thousands of proteins from minimal cell samples, enabling the identification of critical disease-related proteins and supporting the development of individualized therapies.
Kelly Arnold is an Associate Professor in the Department of Biomedical Engineering at the University of Michigan. Her research integrates systems engineering principles with immunology to investigate variability in immune responses across infection, vaccination, and injury, with a focus on computational modeling and clinical translation. Research Focus Systems-level immune response modeling Vaccination and antibody functionality Vaginal microbiome-host interactions Chronic lung disease progression Computational serology and proteomics Recent Work Her 2025 studies examine SARS-CoV-2 vaccination responses in cancer patients and computational frameworks for vaginal probiotics. Earlier works (2024-2007) span COPD progression, lupus fibrosis, HIV susceptibility, and tissue engineering for fertility preservation. Methodologies include proteomic profiling, network modeling, and microfluidic systems.
Manuel R. Amieva is a Professor at Stanford University School of Medicine , holding joint appointments in Pediatrics - Infectious Diseases and Microbiology & Immunology . He is also a member of the Maternal & Child Health Research Institute (MCHRI) . His clinical practice at Stanford Medicine Children's Health focuses on pediatric infectious diseases. Education: Medical Education: Stanford University School of Medicine (1997) Fellowship: Stanford University Pediatric Infectious Disease Fellowship (2004) Internship & Residency: Stanford Health Care at Lucile Packard Children's Hospital (1998-1999) Dr. Amieva's research investigates host-pathogen interactions at epithelial barriers, with specific expertise in Helicobacter pylori , Listeria monocytogenes , Salmonella enterica , and Staphylococcus aureus . His lab develops innovative organoid culture systems with controlled polarity to study microbial colonization and oncogenic mechanisms. Key discoveries include: H. pylori's manipulation of epithelial junctions via the CagA protein Listeria's exploitation of cell extrusion sites for invasion Staphylococcus toxin interactions with adherens junctions Gastric stem cell activation by pathogens Recent publication trends show continued leadership in infectious disease mechanisms (2020-2025), with a focus on: Pathogen-specific epithelial breach strategies Organoid modeling of viral/bacterial interactions Redox-dependent host factor regulation Single-cell spatial transcriptomic analyses Multi-institutional educational frameworks His scientific collaborations span disciplines including: Gastric cancer genomics initiatives COVID-19 lung infection models Stem cell-microbe interactions Medical education reform projects Dr. Amieva maintains active clinical research while mentoring students in both the Microbiology & Immunology and Pediatrics programs. His lab at Stanford employs advanced 3D confocal microscopy and organ-on-a-chip technologies to visualize epithelial colonization dynamics.
Dr. Lourdes Pena-Castillo is a Professor jointly appointed in the Departments of Computer Science and Biology at Memorial University of Newfoundland's Faculty of Science. Her research focuses on applying machine learning and bioinformatics to study bacterial gene regulation, with emphasis on transcriptomics, gene expression pathways, and microbiology. She leads the Bioinformatics Lab at MUN, developing computational tools like Promotech for promoter prediction and sRNARFTarget for sRNA target identification. Education: BSc in Information Systems Engineering, ITESM-Mexico MSc in Computer Science, University of Alberta PhD in Computer Science (Doktoringenieurin), Otto-von-Guericke Universität Magdeburg Postdoc in Bioinformatics, University of Toronto Research Interests: Bioinformatics, Genomics, Machine Learning, Artificial Intelligence, Transcriptomics, Gene Regulation, Microbiology Her work integrates computational methods with biological data to address challenges in molecular biology, including analyzing bacterial sRNA functions, promoter recognition, and disease diagnostics using machine learning. She has advised numerous graduate students, including PhD candidates Purvikalyan Pallegar and Bonita McCuaig, and MSc students like Ruben Chevez-Guardado and Kratika Naskulwar. Her lab focuses on translational research with applications in both basic science and clinical contexts. Publications span computational methods for bacterial gene regulation, bioinformatics tool development, and interdisciplinary projects in VR and healthcare informatics. Her research has contributed to understanding symbiotic relationships in marine organisms, inflammatory bowel disease diagnostics, and clavulanic acid production in Streptomyces. Grants & Collaborations: Works with interdisciplinary teams across computer science and biology, supported by grants enabling projects in bacterial genomics and computational tool development. Labs & Teams: Leads the Bioinformatics Lab at MUN, fostering collaborations with researchers in microbiology, computer science, and healthcare.
Dewey G. McCafferty is Professor of Chemistry at Duke University with appointments in Biochemistry and the Duke Cancer Institute. His research focuses on chemical biology of chromatin-modifying enzymes and ubiquitin signaling pathways relevant to neurodegeneration and infection. Notable work includes discovering the lasso peptide antibiotic Arcumycin, characterizing the Nedd4 ubiquitin ligase in Parkinson's disease models, and developing chemoproteomic approaches for target identification. Key contributions include elucidation of the futalosine pathway in Chlamydia infections, mechanisms of CPAF protease in bacterial pathogenesis, and engineering of histone demethylase enzymes. McCafferty received the Eli Lilly Award in Biological Chemistry (2005) and directs NIH-funded projects on ubiquitin ligases in neurodegeneration.
Patricia Champion is a Professor in the Department of Biological Sciences at the University of Notre Dame, where she holds the title of Notre Dame Collegiate Professor. Her research is centered on the molecular mechanisms of mycobacterial pathogenesis, with a focus on protein transport and virulence. She is affiliated with the Eck Institute for Global Health and the Center for Rare and Neglected Diseases. PhD in Molecular Biology, Princeton University (2003) B.S. in Biological Sciences, Carnegie Mellon University (1998) Her research interests lie in understanding how pathogenic mycobacteria, including Mycobacterium tuberculosis and M. marinum , cause disease through targeted protein secretion, particularly via the Type VII (ESX-1) secretion system. She investigates how secreted proteins function as effectors and regulate gene expression, and how post-translational modifications like acetylation influence virulence. Her lab employs an interdisciplinary approach combining genetics, molecular biology, proteomics, and transcriptomics. The recent publications highlight a strong focus on ESX-1-mediated secretion, identification of novel substrates, regulatory mechanisms (e.g., WhiB6, EspM), and post-translational modifications. The work spans fundamental bacterial physiology to host-pathogen interactions, contributing to the broader goal of identifying targets for anti-virulence therapeutics against tuberculosis. Her scientific recognition includes being named a Notre Dame Collegiate Professor, a distinguished honor reflecting her scholarly excellence. Dr. Champion leads an active research laboratory committed to fostering an inclusive and respectful environment, emphasizing core values such as integrity, teamwork, and excellence. Her lab's work is supported by ongoing research grants, though specific funding sources are not detailed in the text. The Champion Lab operates within the Department of Biological Sciences and collaborates with key institutes at Notre Dame focused on global and neglected diseases.
Professor Francis Butler is a Full Professor at University College Dublin's School of Biosystems and Food Engineering, where he has been since 1990. His academic roles include research leadership in food safety, food chain integrity, and microbial risk assessment. He leads the UCD Institute for Food and Health and the UCD Centre for Food Safety as a Principal Investigator. Education: BE, Grad Dip University Teaching & Learning, MBA, and PhD from University College Dublin. Research Focus: His work centers on food safety hazards, quantitative risk assessment, and next-generation sequencing for pathogen identification. Recent projects include Listeria monocytogenes growth modeling, norovirus in oysters, and hepatitis E in pork products. He has secured over €6 million in research grants, including EU-funded projects like FOODINTEGRITY and SIGMACHAIN. Awards & Recognition: European Food Safety Authority Fellowship, Marie Sklodowska-Curie Fellowship, and UCD Teaching Grant. He coordinates international educational programs, including the UCD MSC Food Safety and Risk Analysis. Professional Activities: Member of EFSA advisory committees, editorial boards (e.g., Microbial Risk Analysis ), and international conference chairs. His work bridges academia, industry, and policy to enhance food safety standards globally.
Jennifer L. Clarke is a Professor in the Department of Statistics at the University of Nebraska–Lincoln and Director of the Quantitative Life Science Initiative. She holds leadership roles in enabling big data integration across the University of Nebraska system through collaborative research programs. Her affiliations include the Institute of Agriculture and Natural Resources (IANR) and the College of Agriculture and Natural Resources. Dr. Clarke's research focuses on statistical methodology for high-dimensional data, computational biology, bioinformatics, and bacterial genomics. Her work bridges statistical innovation with applications in oncology, microbiome analysis, and agricultural phenomics. Key areas include predictive modeling, machine learning, and genomic/metagenomic data integration. Her recent publications span cancer biomarker discovery, plant phenotyping methodologies, and microbial community analysis, reflecting her interdisciplinary approach. Articles emphasize translational applications like therapeutic target identification and precision agriculture. Dr. Clarke leads initiatives fostering collaboration between statisticians and domain scientists, including the Quantitative Life Science Initiative and contributions to the Agricultural Genome-to-Phenome Initiative (AG2PI). Her work advances data-driven solutions for healthcare and food security challenges. Notable projects include developing statistical tools for microbiome studies, analyzing root architecture via 3D imaging, and investigating cranberry-derived compounds' cancer-inhibitory mechanisms. Her methodological contributions include hybrid clustering techniques and predictive model validation frameworks.
Scott T. Acton is the Lawrence R. Quarles Professor and Chair of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in Biomedical Engineering. He leads the VIVA lab, specializing in biological image analysis, machine learning, and AI for education. His research spans medical imaging, signal processing, and computer vision. Professor Acton holds a B.S. (Virginia Tech, 1988), M.S. (UT Austin, 1990), and Ph.D. (UT Austin, 1993) in Electrical Engineering. He has authored over 325 publications and served as Editor-in-Chief of IEEE Transactions on Image Processing and General Co-Chair of the IEEE International Symposium on Biomedical Imaging. His research interests include bioimage analysis, machine learning applications, and medical imaging technologies. The VIVA lab focuses on problems like cell tracking in bacterial biofilms, gait recognition using LiDAR, and AI-driven classroom activity analysis. Awards: IEEE Fellow (2013), All-University Teaching Award (2009), Outstanding Young Electrical Engineer (1996). Courses Taught: How the iPhone Works, Digital Image Processing, Signals and Systems. Labs/Teams: VIVA - Virginia Image and Video Analysis lab. Recent work emphasizes AI for education (e.g., automated classroom activity classification) and medical imaging advancements like 3D biofilm segmentation and LiDAR-based human identification. His contributions bridge engineering and healthcare, with applications in neuroscience and clinical decision support.
