David S. March is an Assistant Professor in the Department of Psychology at Florida State University's College of Arts and Sciences. His research focuses on implicit cognition and threat processing, particularly how subconscious threat evaluation influences attitudes, prejudice, and behavioral responses. He actively recruits graduate students for Fall 2026 and oversees the March Research Laboratory. His research integrates social cognition, cognitive neuroscience, and behavioral psychology to challenge dual process models by introducing a speed-strength distinction between threatening and nonthreatening stimuli. Key areas include automacity of threat responses, racial bias mechanisms, and methodological advancements in mouse-tracking analysis. Dr. March's publications examine threat perception in contexts ranging from snake fear to police bias, contributing to understanding how implicit threat evaluations shape social behaviors and policy compliance. His work bridges evolutionary psychology with modern social issues like racial prejudice and pandemic health behaviors. Scientific Awards: Student Publication Prize by the Society for Personality and Social Psychology (2017)
Amy Wagoner Johnson is a Professor in the Department of Biomedical and Translational Sciences at the Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, with secondary appointments in Mechanical Science and Engineering. She leads the Applied Biomaterials and Biomechanics Lab (ABBL), conducting interdisciplinary research spanning bone tissue engineering, women's reproductive health, and coral reef restoration. Her educational background includes: Ph.D. in Materials Science from Brown University (2002) M.S. in Materials Science from Brown University (1998) B.S. in Materials Science and Engineering from The Ohio State University (1996) Professor Wagoner Johnson's research focuses on biomaterials and biomechanics, particularly: Developing multiscale bone scaffolds for trauma repair Investigating cervical biomechanics in pregnancy and preterm birth Creating coral settlement substrates for reef restoration Designing hydroxyapatite-based systems for stem cell delivery Her work integrates materials science, mechanical engineering, and clinical medicine to address critical challenges in tissue regeneration. Analysis of her recent publications reveals strong trends in translational biomaterials development, with increasing emphasis on women's health applications and marine ecosystem restoration. Her bone scaffold research has evolved toward multi-material systems with spatially graded architectures, while her reproductive health work increasingly employs advanced imaging techniques like second-harmonic generation microscopy. Her scientific honors include: Fellow of the American Institute for Medical and Biological Engineering (2021) Grainger College DEI Award (2022) Andersen Faculty Scholar (2020) Dean's Research Excellence Award (2018) As an educator, she has received multiple teaching awards including the Society of Women Engineers Outstanding Engineering Educator Award (2020) and multiple 'Teachers Ranked as Excellent' recognitions. She serves as MechSE Pre-Med Advisor and actively mentors undergraduate researchers, receiving the Campus Award for Guiding Undergraduate Research (2013). Her lab has secured significant funding for projects including NSF's 'Collaborative Research: ECO-CBET' and NIH-supported work on preterm birth mechanisms. The Applied Biomaterials and Biomechanics Lab maintains strong collaborations with veterinary medicine, surgery departments, and international partners including the NanoSciences Foundation in Grenoble, France. Current projects focus on developing tools to track inflammation in human tissue as Chan Zuckerberg Biohub Chicago Investigators.
Cornelius Faber is a University Professor in the Department of Radiology at the University of Münster, Germany, where he leads the Experimental Nuclear Magnetic Resonance research group. His work focuses on developing and implementing novel MRI techniques that extend the boundaries of magnetic resonance imaging in terms of spatial and temporal resolution, sensitivity, and specificity for physiological, structural, and molecular changes. He actively participates in the "Cells in Motion" interdisciplinary research initiative at the university. Professor Faber's research spans multiple critical areas in medical imaging and biomedical science. His primary expertise lies in MRI cell tracking , enabling visualization of cellular dynamics in vivo. He has made significant contributions to infection imaging , developing methods to detect and characterize microbial infections using MRI. His work on MR methodology development has advanced quantitative imaging techniques, while his research on multimodal integration in MR and MRI contrast mechanisms has provided deeper insights into molecular and cellular processes. His research bridges physics, engineering, and biomedical applications, with particular relevance to inflammation, cancer, neurological disorders, and cardiovascular disease. Analysis of Professor Faber's extensive publication record reveals a clear evolution from fundamental MRI technique development toward increasingly sophisticated applications in disease models. His recent work demonstrates a strong trend toward multimodal imaging approaches that combine MRI with complementary techniques such as mass spectrometry, optical imaging, and PET. This integration creates comprehensive diagnostic platforms that provide both anatomical and molecular information. A notable pattern is the focus on cellular dynamics, particularly immune cell behavior in inflammatory conditions and tumor microenvironments, with applications spanning neuroscience, oncology, and cardiology. Professor Faber leads a multidisciplinary research team of approximately 15 members, including scientists, doctoral students, technicians, and medical students. His laboratory is deeply integrated with the University of Münster's research infrastructure, particularly the Multiscale Imaging Centre. The group's work contributes significantly to advancing preclinical MRI methodologies while maintaining strong clinical relevance, with numerous publications in high-impact journals across medical imaging, neuroscience, and biomedical engineering disciplines.
Alvaro Köhn-Luque is an Associate Professor at the Oslo Center for Biostatistics and Epidemiology, University of Oslo, and Group Leader at the Department of Medical Genetics, Oslo University Hospital. His work bridges mathematical modeling with clinical applications, particularly in cancer research. His academic background includes a PhD in Mathematical and Computational Biology from Complutense University of Madrid (2012), preceded by multiple Master's degrees in Mathematics and Physics from Spanish universities. Dr. Köhn-Luque's research focuses on mathematical oncology , developing computational models to understand cancer dynamics and improve treatment strategies. His work spans multiscale modeling of tumor growth, personalized cancer medicine through computer simulations, and biomarker discovery using machine learning approaches. He has made significant contributions to modeling breast cancer progression and treatment response, particularly in the context of endocrine therapy and CDK4/6 inhibition. His recent publications demonstrate a strong trend toward integrating mechanistic learning approaches that combine mathematical models with machine learning techniques. This hybrid methodology allows for more accurate prediction of treatment outcomes while maintaining biological interpretability. His work frequently involves collaboration with clinical researchers to ensure models are grounded in real patient data and have direct translational potential. Computational modeling of tumor heterogeneity and drug response Development of methods for phenotypic deconvolution in cancer cell populations Integration of multi-omics data for personalized treatment prediction Application of birth-death processes to model tumor evolution Creation of user-friendly computational tools for biomedical researchers Dr. Köhn-Luque has supervised multiple PhD students including Even M Myklebust, Salim Ghannoum, and Xiaoran Lai, and has secured funding for projects including RESCUE, BigInsight, and Integreat. His research demonstrates a consistent trajectory from theoretical mathematical biology toward increasingly clinically relevant applications in personalized cancer medicine.
Andrew Fielding is an Associate Professor in the School of Chemistry & Physics at Queensland University of Technology (QUT), Faculty of Science. His research and teaching focus on medical physics, particularly in radiation therapy, medical imaging, and Monte Carlo dosimetry techniques. He is the Course Coordinator for the Graduate Diploma and Master of Applied Science in Medical Physics programs at QUT. He holds a PhD in Physics from the University of Portsmouth and a B.Sc. (Hons) from the University of Surrey. He completed postdoctoral research at the Institute of Cancer Research / Royal Marsden Hospital and the University of Liverpool before joining QUT in 2004. His academic progression includes Lecturer (2004–2008), Senior Lecturer (2008–2022), and Associate Professor (2023–present). His research interests lie in medical imaging, radiation therapy, image-guided radiotherapy, Monte Carlo techniques for dosimetry, and radiation oncology physics. He emphasizes translating research into clinical practice to improve cancer care. His recent publications reflect a strong focus on Monte Carlo simulations, small-field dosimetry, preclinical irradiation, and the integration of AI and simulation in radiotherapy education and treatment verification. His scientific achievements are recognized through professional memberships including Fellow of the Institute of Physics (FInstP), Chartered Physicist (CPhys), and Member of the Australasian College of Physical Scientists and Engineers in Medicine (MACPSEM). Fellow of the Institute of Physics (FInstP) Chartered Physicist (CPhys) Member of the Australasian College of Physical Scientists and Engineers in Medicine (MACPSEM) Andrew Fielding actively supervises PhD and research master’s students in areas such as Monte Carlo dosimetry, tumor motion tracking, and radiotherapy optimization. He has secured competitive research grants, including Australian Competitive Grants for projects on tumor motion monitoring and in-vivo dosimetry verification. His teaching philosophy emphasizes authentic, clinically aligned learning using simulation, virtual reality, and real-world applications. He leads or teaches several core medical physics units, including Radiation Physics, Radiotherapy, Medical Imaging Science, and Research Methodology. He is involved in developing and evaluating innovative tools such as 3D volumetric outlining systems and immersive simulation environments for radiotherapy training. His work bridges physics, clinical application, and education, contributing significantly to the advancement of medical physics both in research and pedagogy.
Jon Freeman is Associate Professor of Psychology at Columbia University and director of the Social Cognitive & Neural Sciences Lab. His research integrates cognitive, social, and affective processes to understand how people perceive others and make social judgments in real time. He employs functional neuroimaging, computational modeling, and behavioral techniques, notably advancing mouse-tracking methodology to capture dynamic decision-making processes. His core research interests lie in person perception , social bias , stereotyping , and the interplay between visual and social cognition . He investigates how affective and neural mechanisms shape split-second social evaluations, contributing to our understanding of implicit social cognition and its real-world implications. Freeman has received numerous prestigious early-career awards recognizing his transformative contributions, including the NSF CAREER Award and the APS Janet T. Spence Award. Other honors include early career recognitions from the Social & Affective Neuroscience Society, Society for Personality & Social Psychology, and several other leading organizations in behavioral and brain sciences. He is also actively engaged in national science policy, leading efforts since 2018 to incorporate sexual orientation and gender identity (SOGI) data into federal STEM workforce statistics. This initiative aims to improve equity, inform inclusive strategies, and ensure equal opportunity in STEM by expanding national data infrastructures while safeguarding privacy. Freeman advises graduate students and leads a multidisciplinary research team focused on social cognitive neuroscience and data equity. His lab develops and applies innovative methodologies to explore both fundamental psychological processes and systemic challenges in the scientific workforce.
Marina Vannucci is the Noah Harding Professor of Statistics at Rice University, with an adjunct appointment at the UT MD Anderson Cancer Center. She holds a Ph.D. and Laurea in Mathematics from the University of Florence, Italy. Her research focuses on Bayesian statistical methods for complex problems in genomics, neuroimaging, and engineering. She has supervised 31 Ph.D. students and 13 postdocs, published over 185 papers, and received prestigious awards including the Mitchell Prize, Zellner Medal, and Don Owen Award. She has served as Editor-in-Chief of Bayesian Analysis and co-Editor of the Journal of the American Statistical Association. Education: Ph.D. in Statistics (University of Florence, 1996), Laurea in Mathematics (University of Florence, 1992). Research Interests: Bayesian statistics, variable selection, graphical models, statistical computing, applications in genomics, neuroscience, and engineering. Awards: Includes Fellowships from ASA, IMS, AAAS, ISBA, and the 2020 Zellner Medal. Recent recognitions include the 2025 Don Owen Award for excellence in research and contributions to the statistical community. Grants/Advising: Over 30 Ph.D. students and 13 postdocs trained. Key roles include Department Chair (2014–2019) and President of the International Society for Bayesian Analysis (2018). Labs/Teams: Affiliated with Rice Neuroengineering, Ken Kennedy Institute, and the W.M. Keck Center for Interdisciplinary Bioscience Research.
Gioele La Manno is an Assistant Professor (tenure track) at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (SV) and the Department of Life Sciences Engineering. He leads the Unité du Prof. La Manno (UPLAMANNO) and holds roles in teaching and doctoral education within the SSV-ENS and Programme doctoral Biologie computationnelle et quantitative . His research focuses on single-cell genomics, cellular heterogeneity, and systems biology approaches to study developmental and neural systems. La Manno’s educational background includes a strong foundation in computational and quantitative biology, reflected in his teaching of courses like Biological data science I: statistical learning and Scientific literature analysis in neuroscience . His lab explores interdisciplinary methods combining genomics, epigenomics, and machine learning to dissect cell fate decisions and tissue organization. He actively contributes to doctoral programs, supervising over a dozen PhD students and advising theses on topics ranging from nervous system development to drug sensitivity profiling. His work bridges basic research with translational applications, such as clinically compliant cell cryopreservation for regenerative medicine. La Manno collaborates across EPFL’s Life Sciences Engineering ecosystem, leveraging state-of-the-art technologies like mass spectrometry imaging and single-cell RNA velocity modeling. His lab’s recent studies address lipidome dynamics, glial diversity in the CNS, and the molecular regulation of midbrain dopaminergic neurons.
Professor Mark Enright is a Professor of Medical Microbiology at Manchester Metropolitan University's Department of Life Sciences, specializing in genomic epidemiology of antibiotic-resistant pathogens and bacteriophage therapy development. His work bridges clinical microbiology with advanced genomic techniques to combat multidrug-resistant infections. His educational background includes: PhD in Medical Microbiology, University of Aberdeen (1995) MSc in Biochemistry, University of Dundee (1990) BSc (Hons) in Biological Sciences, University of Stirling (1989) Enright's research focuses on antibiotic resistance mechanisms in Gram-positive and Gram-negative pathogens, with groundbreaking work on bacteriophage-based therapeutics targeting Staphylococcus aureus , Pseudomonas aeruginosa , and Klebsiella pneumoniae . His laboratory employs whole-genome sequencing and core-genome MLST to track pathogen evolution, biofilm formation, and horizontal gene transfer. Recent projects include developing phage cocktails against cystic fibrosis-related infections and characterizing depolymerases for capsular polysaccharide degradation. Analysis of his 2015-2025 publications reveals consistent focus on genomic epidemiology of healthcare-associated pathogens, with increasing emphasis on phage therapy applications. His work demonstrates methodological evolution from traditional typing to advanced genomic analyses, particularly in tracking international MRSA transmission and developing phage-based biofilm disruption strategies for wound infections. His major recognitions include: Royal Society University Research Fellowship (2000-2008) European Society for Clinical Microbiology Young Investigator Award (2002) As Editor of the International Journal of Antimicrobial Agents and Section Editor for FEMS Microbiology Letters , Enright shapes antimicrobial research discourse. He serves on editorial boards of Antibiotics and PeerJ , and reviews for Science and Nature . His grant review expertise for Wellcome Trust, MRC, and EU programs informs global research funding priorities. Formerly a Visiting Professor at University of Bath (2011-2014), he maintains strong industry-academia collaborations in antimicrobial development. His Molecular Microbiology teaching integrates cutting-edge research into curriculum, while his John Dalton Building laboratory develops novel approaches to combat antimicrobial resistance through phage genomics and biofilm disruption technologies.
Professor Martin Richards holds a Research Chair in the Department of Physical and Life Sciences at the University of Huddersfield, where he directs the Evolutionary Genomics Research Centre. Previously, he has held academic roles at UCL, Huddersfield, and Leeds University, focusing on human evolution and bioinformatics. His research expertise centers on archaeogenetics, particularly applying mitochondrial DNA (mtDNA) analysis to understand human migration patterns, including the settlement of Europe, Southeast Asia, and the Pacific. Key contributions include influential models on prehistoric dispersals and the use of mtDNA networks in phylogenetic analysis. Richards' educational background includes genetics studies at the Universities of Sheffield, Manchester, and Oxford. His work has coalesced around mtDNA genome variation, addressing questions such as the out-of-Africa dispersal routes and the genetic history of European populations. He co-edited *Mitochondrial DNA and the Evolution of Homo Sapiens* (2006) and has contributed to over 120 peer-reviewed publications, with a h-index of 62. Research interests span archaeogenetics, human evolution, and molecular evolution, with a focus on resolving debates around European settlement and Pacific colonization. Collaborations include the ACROSS project investigating Australasian colonization. Awards and recognitions include a Google Scholar h-index of 79 from 26,574 citations. Supervised PhD projects explore archaeogenetic topics, and he actively accepts new students in these areas. Richards' work contributes to UN Sustainable Development Goals, particularly through insights into human migration and genetic diversity. His lab, the Evolutionary Genomics Research Centre, serves as a hub for advanced genetic studies, integrating archaeological and genomic data to trace human prehistory.
Cameron Muir is an Associate Professor in the Department of Psychology at Brock University. He holds a Ph.D. from McMaster University. His research focuses on behavioral neuroendocrinology, reproductive and stress physiology, and hormonal mechanisms in human sexual behavior and stress adaptation. He investigates steroid hormones' roles in reproduction, stress, aggression, and pheromonal communication, with a particular interest in how psychological events and environmental factors influence hormonal changes. Dr. Muir has conducted extensive studies on hormonal biomarkers (e.g., saliva, perspiration) and their relationship to stress, sexual behavior, and environmental estrogens. His work bridges animal models (rodent studies) and human research, exploring how steroids act as stress hormones and potential pheromones in mammals. His publications span stress physiology in children and athletes, hormonal disruptions in mice, and methodological advancements in steroid measurement. While no explicit awards are listed, his contributions to endocrinology and behavioral science are evident through his prolific research output. Dr. Muir’s advising and grants focus on interdisciplinary projects, though no specific grants or student advisees are detailed here. His research lab likely explores hormonal adaptations in dynamic environments, though no lab name is provided.
Associate Professor Marcus Kitchen is affiliated with Monash University's School of Physics and Astronomy and the Victorian Heart Institute. He specializes in developing advanced X-ray imaging techniques, including Phase Contrast Imaging, Compton Scatter Imaging, and Ultra-Low Radiation Dose methods. His research focuses on enhancing diagnostic capabilities in lung and brain imaging while minimizing radiation exposure. Collaborations with institutions like the Hudson Institute aim to improve neonatal care, particularly for preterm infants with underdeveloped lungs. Key projects include translating synchrotron-based methodologies for clinical and industrial applications. Research interests span biomedical imaging, material discrimination, and radiation dose reduction. He leads or co-leads over 30 projects, including 'X-ray Scatter Imaging: Vast Information with Minimal Radiation' (2025–2028) and 'IMPACT: IMplementation of x-ray PhAse-Contrast Tomography to transform cancer diagnosis' (2022–2026). His work aligns with UN Sustainable Development Goals focused on health and innovation. Publications emphasize novel imaging modalities and their applications in respiratory and neurological disorders. Despite no explicit awards listed, his contributions to reducing radiation exposure and advancing lung mechanics research are significant. He supervises graduate students and actively seeks PhD candidates. His lab integrates theoretical, computational, and experimental approaches to bridge gaps between fundamental physics and clinical medicine.
Associate Professor Robert Nordon is a faculty member at UNSW Sydney's Graduate School of Biomedical Engineering. He holds an MB BS, BMedSci, and PhD, with research focusing on advanced manufacturing and medical technologies. Since 2016, he has secured over $5M in research grants for projects in point-of-care diagnostics, cell/gene therapy manufacturing, and stem cell science. Research interests span three primary domains: Developing microfluidic single-use disposables for scalable clinical cell production Modeling cardiovascular development using stem cell-based microfluidic systems Creating computational tools for single-cell analysis and lineage tracking His publications (2017-2024) demonstrate strong emphasis on microfluidic device engineering, stem cell dynamics, and biomaterials development. Recurring themes include hematopoietic stem cell expansion, cardiac cell behavior, and peptide-based biomaterials. Significant grants include: ARC Linkage Grant LP160100570: Scaling microfluidics for cell manufacture (2016-2019) ARC Linkage Grant LP160100573: 3D microstructures for medical devices (2016-2019) ARC Linkage Grant LP190100029: Electrophoretic cell sorters (2020-2023) CRC-P: Microbioreactor for affordable cell/gene therapy (2021-2023) Current research trainees include Farzaneh Ziaee and Eric Du.
Associate Professor Kai-Hsiang Chuang is a Principal Research Fellow at the School of Biomedical Sciences within the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. He is also affiliated with the Queensland Brain Institute and the Centre for Advanced Imaging. His research focuses on understanding brain networks, developing advanced imaging techniques, and translating these findings to improve diagnosis and intervention for neurological disorders. Dr. Chuang received his Ph.D. in electrical and biomedical engineering from the National Taiwan University, Taiwan, in 2001. His doctoral research focused on improving the detection of brain activity using functional magnetic resonance imaging (fMRI). Ph.D. in Electrical and Biomedical Engineering, National Taiwan University (2001) Dr. Chuang's research spans multiple areas of brain imaging and neuroscience. His primary focus is on functional brain mapping , where he develops in vivo imaging techniques including functional MRI and multimodal integration with optogenetics, calcium imaging, and electrophysiology. He applies these techniques in both humans and animal models to improve understanding and intervention of brain function, disease processes, and treatment effects. Another key area is brain networks in learning, memory, and dementia . His work explores how brain network wiring and activity underpin cognition and behavior, with particular focus on understanding the causal relationship between brain network activity and memory formation. He develops techniques to modulate behavior by manipulating brain network activity. More recently, Dr. Chuang has expanded into brain waste clearance research, studying the brain's fluid drainage system that clears waste and toxic molecules like amyloid plaques. His lab is developing imaging techniques to track this system's function and understand its regulatory mechanisms, which could provide new treatment targets for dementia. Analysis of Dr. Chuang's recent publications reveals a strong focus on advancing functional MRI techniques for brain network analysis, particularly in rodent models. His work consistently bridges basic neuroscience with clinical applications, especially in understanding memory formation and dementia. A notable trend is the development of multimodal approaches that combine fMRI with optogenetics, calcium imaging, and electrophysiology to establish causal relationships in brain networks. His research increasingly addresses the translation of preclinical findings to human applications, with growing emphasis on Alzheimer's disease mechanisms and potential interventions. Dr. Chuang serves on the editorial boards of multiple prestigious journals including Frontiers in Neuroscience: Brain Imaging Methods , Imaging Neuroscience , and Scientific Reports , reflecting his standing in the field. Editorial Board Member, Frontiers in Neuroscience: Brain Imaging Methods Editorial Board Member, Imaging Neuroscience Editorial Board Member, Scientific Reports Dr. Chuang is actively involved in research supervision, currently serving as Principal Advisor for one PhD student working on "Developing imaging and neuro-technologies for decoding memory formation" and Associate Advisor for two other PhD projects. He has successfully completed supervision of three PhD students on topics related to resting-state networks, memory consolidation, and functional MRI. ARC Discovery Projects (2024-2028): "Decoding the brain network of memory formation" ARC Training Centre for Innovation in Biomedical Imaging Technology (2017-2024) NHMRC-NIH BRAIN Initiative Collaborative Research Grants (2016-2023) Universities Australia - Germany Joint Research Co-operation Scheme (2017-2018) Mater Medical Research Institute Limited grant for mindfulness-based cognitive therapy research (2017-2020) Dr. Chuang leads the Functional and Molecular Neuroimaging Group at the Queensland Brain Institute. His laboratory focuses on understanding the functional connectome of the brain and developing functional and molecular imaging techniques to study brain connectivity associated with behavior. The group has developed various MRI techniques to track neuronal connections, map large-scale brain synchrony, and quantify cerebral blood flow and metabolism in vivo. His research team collaborates extensively with other experts at UQ and internationally, including collaborations with Associate Professor Darryl Eyles, Professor Jürgen Götz, Professor Tianzi Jiang, Dr. Fatima Nasrallah, Professor Linda J. Richards, Professor Pankaj Sah, Professor Elizabeth Coulson, Dr. Patricio Opazo, Professor Feng Liu, and Professor Markus Barth.
Tobias Grage is a Researcher affiliated with the Department of Psychology at Technische Universität Dresden, within the Faculty of Science. His work is conducted at the Institute of General Psychology, Biopsychology and Methods of Psychology. Grage holds a Diploma in Psychology from TU Dresden (2014) and completed his PhD there since May 2015 under the supervision of Jun.-Prof. Dr. Stefan Scherbaum. He previously earned a degree in Cognitive Science from Osnabrück University (2006-2008). His research focuses on control dilemmas, specifically investigating the interplay between shielding and shifting control functions. He employs dynamic neural field models alongside empirical measures like mouse tracking to identify meta-control parameters governing decision-making dynamics. Grage has contributed to subproject A8 and has held roles such as research assistant under Dr. Stefan Scherbaum and Dr. Matthias Rudolf, as well as tutoring in cognitive neuropsychology and statistics at Osnabrück University. His publications emphasize methodological rigor in mouse-tracking studies, exploring how design factors influence behavioral and cognitive inferences. Grage’s work bridges cognitive psychology, neuroscience, and empirical methodology, addressing both theoretical and applied aspects of decision processes and neural dynamics.
