جست‌وجوی استاد و پژوهشگر

Melissa Libertusمشاهده پروفایل

استاد

• Cognitive Development
• Mathematical Cognition
• Early Childhood Education
• +۲ مورد دیگر

Melissa Libertus is Full Professor in the Department of Psychology at the University of Pittsburgh, where she directs the Kids' Thinking Lab. She holds a PhD from Duke University and specializes in cognitive development, particularly the emergence of mathematical abilities in early childhood. Education: PhD in Psychology from Duke University Her research examines how children develop numerical and mathematical skills, with focus on the home learning environment, parent-child interactions, and individual differences in learning trajectories. Current projects investigate how spatial language exposure influences math development and how home activities shape emerging numeracy skills. Publications explore cognitive mechanisms underlying mathematical skill acquisition, with recent emphasis on longitudinal studies of home learning environments, cross-cultural comparisons of numeracy development, and interventions to support early math skills. Scientific Awards: International Mind Brain and Education Society Early Career Award (2014) Developmental Science Early Career Research Prize (2011) George H. Hitchings New Investigator Award (2006-2007) She leads the Kids' Thinking Lab which investigates cognitive development through behavioral experiments and observational studies with children and families.

Asta Halkjær Fromمشاهده پروفایل

پژوهشگر

• Formal Logic
• Automated Reasoning
• Theorem Proving
• +۱۳ مورد دیگر

Asta Halkjær From is a postdoctoral researcher in the Department of Computer Science at the University of Copenhagen, affiliated with the Software, Data, People & Society (SDPS) section under Dmitriy Traytel. She previously completed her PhD at DTU Compute from 2020 to 2023, focusing on formalized deduction methods in computational logic. She holds a Master’s and Bachelor’s degree from DTU in Computer Science and Software Technology, respectively, with a specialization in Artificial Intelligence and Algorithms. Her research lies at the intersection of formal logic and computer science, particularly in automated reasoning, proof assistants (Isabelle/HOL and Lean), and mechanized metatheory. She has contributed extensively to synthetic completeness proofs, tableau systems, and verified theorem provers. Her work emphasizes formal verification of logical systems, including epistemic logic, hybrid logic, and first-order logic, with a focus on soundness and completeness. The recent publications highlight a consistent trend: the mechanization of logical foundations in proof assistants. Her work bridges theoretical logic with practical verification tools, enabling reliable automation in theorem proving. She has developed and verified provers, explored axiomatic systems, and advanced the methodology of synthetic completeness, often leveraging Isabelle/HOL’s framework. Distinguished Paper Award, CPP 2023 DTU Young Researcher Award DTU Travel Grant (Executive Board Recognition) Otto Mønsted Fonden Travel Grant She has supervised BSc and MSc theses, special courses, and research projects at DTU, and currently teaches Software Development for Digital Health . She has served on program committees for CPP, ITP, and Dalí workshops and has reviewed for journals including Journal of Automated Reasoning and Journal of Logic and Computation . She has also participated in international research visits, including at VU Amsterdam. She is actively involved in building tools for formal reasoning and maintains a personal website with resources, including an Isabelle snippets generator and bibliography tools. Her work continues to advance the foundations of formal logic through mechanized proofs and practical automation.

Michelle Tanمشاهده پروفایل

پژوهشگر ارشد

• Clinical practice guidelines
• Health policy development
• Health services evaluation
• +۱۴ مورد دیگر

Roles and Affiliations: Michelle Tan is a Research Fellow at Monash University's Centre for Medicine Use and Safety, collaborating with the National Centre for Healthy Ageing and Australian Department of Health. She holds honorary positions at King’s College London (Affiliate Research Fellow) and the University of Queensland (Adjunct Research Fellow). Her work focuses on evidence-based guideline development, health policy, and leveraging large datasets to inform national policies. Education: PhD in Medicine (The University of Sydney, 2020) Research Training: King’s College London, Monash University, and Newcastle University. Research Interests: Her expertise spans clinical guidelines, multimorbidity, healthy ageing, and obesity research. She applies advanced statistical methods to study chronic disease management, public health policy, and healthcare quality improvement. Grants and Awards: NHMRC Ideas Grant (2025-2029) European Association for the Study of Obesity Travel Grant (2024) University of Sydney SEED Grant (2019) Multiple scholarships including Commonwealth Government Research Training Program (2017-2020). Key Collaborations: Works with Dr. Nic Kormas on NSW bariatric surgery programs, and with institutions like the NIHR Policy Research Unit (UK), LSE, and WHO-linked initiatives. Labs/Teams: Leads projects in metabolic health, guideline development, and policy analysis across multiple institutions in Australia and the UK.

Antoine Geissbuhlerمشاهده پروفایل

استاد

• Medical Informatics
• eHealth
• Telemedicine
• +۷ مورد دیگر

Antoine Geissbuhler is a Full Professor at the University of Geneva's Faculty of Medicine, Department of Radiology and Medical Informatics. He serves as Dean of the Faculty of Medicine since July 2023, following his role as Vice-Rector for Digital Strategy and Innovation. Additional leadership positions include Director of the HUG Innovation Center and Chief Physician of the eHealth and Telemedicine Department at Geneva University Hospitals (HUG), recognized as a WHO collaborating center. He also presides over BioAlps, Western Switzerland's life sciences cluster. Geissbuhler's research focuses on designing and implementing IT tools in healthcare, with emphasis on telemedicine networks and digital health strategies. His work spans global contexts including Africa, Asia, and Latin America through the RAFT project connecting hundreds of healthcare professionals across 20 countries. Key domains include maternal health monitoring, shared medication plans, AI chatbots for patient education, and digital solutions for non-communicable diseases. His publications reveal strong trends in implementation science, particularly frameworks for reporting digital health interventions (iCHECK-DH) and learning from implementation failures. WHO Collaborating Center designation for eHealth department President of BioAlps life sciences cluster (since 2022) Architect of Swiss eHealth strategy implementation Developer of RAFT telemedicine network As an educator, Geissbuhler has pioneered telemedicine training across resource-limited settings through the RAFT network. His leadership extends to digital health policy, including contributions to global standards for health information systems and ethical frameworks for health data reuse. Current initiatives emphasize patient-centered digital tools and strengthening health system resilience through technology.

Shannon L. Marlowمشاهده پروفایل

استادیار

• Teamwork
• Leadership
• Training
• +۵ مورد دیگر

Dr. Shannon L. Marlow is an Assistant Professor of Management at the Carlos Alvarez College of Business, The University of Texas at San Antonio. She holds a Ph.D. in Industrial/Organizational Psychology from Rice University, and master's and bachelor's degrees in the same field from the University of Central Florida. Her research focuses on teamwork, leadership, and training, with a particular emphasis on team processes and emergent states influencing outcomes like performance. Key areas include virtual team dynamics, leadership training efficacy, and healthcare team interventions. Her work has been published in journals such as Journal of Applied Psychology and Organizational Behavior and Human Decision Processes , and featured in Forbes and Science Daily . Recent research trends highlight meta-analyses on team learning pathways, psychological safety emergence, and the team Big Five traits. Her studies often intersect organizational behavior with practical applications in healthcare and mission-critical settings. Marlow has contributed to systematic reviews on virtual team predictors and healthcare team performance measurement. Her training-related work includes leadership development program evaluations and meta-analyses on coaching success factors.

Angela Maddenمشاهده پروفایل

استاد بالینی

• Nutrition
• Dietetics
• Clinical Nutrition
• +۸ مورد دیگر

Dr. Angela Madden is a Clinical Professor and Clinical Researcher in Nutrition and Dietetics at the University of Hertfordshire, where she initiated and led the Nutrition and Dietetics program (2006–2020). She holds a PhD in Nutrition from University College London (UCL). Her research focuses on enhancing health through nutritional interventions, particularly in clinical dietetics and public health, with expertise in liver disease, obesity, and energy expenditure assessment. She is a Fellow of the British Dietetic Association (BDA) and Trustee of its General and Education Trust. Her academic roles include teaching research-informed practices and mentoring over 12 peer-reviewed papers co-authored with students. Key research interests include nutritional assessment tools, energy expenditure prediction, and dietary interventions for chronic conditions like cirrhosis and coeliac disease. She supervises PhD students exploring behavior change in obesity and post-transplant nutrition. Major projects include systematic reviews on gallstone disease management and resting energy expenditure in children. She has contributed to national guidelines, such as improved height prediction equations for ethnically diverse populations. Awards include BDA Fellowships and collaborative grants from NIHR and the MRC.

Zheng Zhangمشاهده پروفایل

پژوهشگر

• Human-AI Interaction
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Zheng Zhang is a Ph.D. candidate in the Department of Computer Science and Engineering at the University of Notre Dame, where he focuses on human-AI interaction. He also works as an Applied Scientist in Adobe's GenAI team, developing interactive AI systems for user experience enhancement. He has held internships at Apple, AWS AI, and Meta Reality Labs. Education: Ph.D. (in progress) at University of Notre Dame M.S. in Computer Science from University of Rochester and University of Minnesota B.Eng. in Software Engineering from Shaanxi Normal University His research explores the intersection of human-computer interaction (HCI) and machine learning (ML), emphasizing systems that provide adaptive, context-sensitive support for complex cognitive tasks. Key areas include collaborative tools for team ideation, incremental learning from user demonstrations, and multimodal context-aware interfaces. Recent publications demonstrate a focus on AI-augmented collaboration through large shared displays (LADICA), audio-visual annotation (PEANUT), and interactive qualitative coding (PaTAT). His work increasingly integrates generative AI with real-time human input, particularly for co-located teams and educational applications. He serves as a Program Committee member and reviewer for top HCI/ML conferences including CHI, UIST, IUI, and ACL. Teaching experience spans courses in human-AI systems, algorithms, and data structures.

Yuri Faenzaمشاهده پروفایل

دانشیار

• Discrete Optimization
• Operations Research
• Mathematical Programming
• +۴ مورد دیگر

Yuri Faenza is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia Engineering, with affiliations to the Data Science Institute (DSI) and Foundations of Data Science Center. His research bridges Discrete Optimization, Operations Research, and Computer Science, focusing on algorithmic theory and applications to Market Design (particularly School Choice) and Machine Learning. Key research areas include Knapsack , Matching , and Extended Formulations , with methodological work on polytope structures, greedy algorithms, and stochastic or semi-random models. His recent publications emphasize stable matching, optimization under uncertainty, and the intersection of discrete mathematics with data science. Scientific awards include the NSF CAREER award Meta Research Award . He has served on program committees for major conferences like ALGA, EC, APPROX, and IPCO, and is an Associate Editor for journals including Mathematical Programming and Discrete Optimization . Prior to Columbia, he held postdoctoral positions at the University of Brussels, EPFL, and University of Padua.

• Substance misuse prevention
• Polysubstance use
• Alcohol epidemiology
• +۷ مورد دیگر

Dr. Gary C.K. Chan is an NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research within the School of Psychology at the University of Queensland. As a statistical advisor, he provides methodological guidance to academic staff and research higher degree students. His collaborative work spans major international research institutions including the University of Washington, Murdoch Children's Research Institute, University of Melbourne, and University College London, with significant policy impact through consultation with the United Nations Office of Drugs and Crime. Dr. Chan's principal research focuses on substance misuse prevention and advanced statistical methods for longitudinal analysis. His work examines polysubstance use patterns (particularly alcohol, tobacco, and cannabis) among adolescent populations, urban-rural disparities in substance use, and the epidemiology of various substances. He applies sophisticated statistical modeling to understand complex relationships between substance use, mental health, and sociodemographic factors, with particular attention to methodological innovations in addiction research. Dr. Chan's prolific publication record demonstrates a strong focus on contemporary substance use issues, particularly cannabis and vaping trends among youth. His research employs diverse methodologies including longitudinal analysis, systematic reviews, and wastewater-based epidemiology. There's a clear emphasis on policy-relevant research that examines the impact of regulatory changes on substance use patterns, with significant contributions to understanding cannabis use for medicinal purposes and the relationship between social media exposure and substance use behaviors. Scientific Awards: NHMRC Emerging Leadership Fellowship As a statistical advisor at the School of Psychology, Dr. Chan provides methodological support to academic staff and research higher degree students. Since 2016, he has conducted advanced statistical workshops on R programming and multilevel modeling. His research is supported through the NHMRC fellowship and numerous collaborations with major national and international institutes that facilitate large-scale epidemiological studies and policy-relevant analyses. Dr. Chan is affiliated with the National Centre for Youth Substance Use Research at the University of Queensland. His collaborative network spans multiple research teams across continents, enabling comprehensive investigations of substance use patterns and their determinants in diverse populations and settings.

Cheneal Puljevicمشاهده پروفایل

پژوهشگر ارشد

• Substance Use Harm Reduction
• Tobacco Control
• Illicit Tobacco Use
• +۷ مورد دیگر

Dr Cheneal Puljevic is a Senior Research Fellow at the School of Public Health, University of Queensland, and an ARC DECRA Fellow at the NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame. She is also affiliated with the Centre for Health Services Research and serves as the Honours Program Director for the Bachelor of Health Sciences. Her research spans multiple institutions and collaborations, including the Global Drug Survey and The Loop Australia. PhD, Griffith Criminology Institute, Griffith University (2018) Bachelor of Psychology (Honours), University of Cape Town (2011) Her research focuses on substance use harm reduction , tobacco control , and public health interventions . She specializes in smoking cessation among marginalized populations, illicit tobacco use, drug checking, and alcohol-fuelled violence. Her work combines qualitative, quantitative, and mixed-methods approaches to evaluate policies and design harm reduction services. Her recent publications (2024–2025) reflect a strong trend in harm reduction innovation , particularly in drug checking and anabolic steroid safety , alongside continued focus on tobacco control and behavioral interventions for substance use. She frequently employs systematic reviews , qualitative studies , and global survey data to inform public health policy. Her scientific awards highlight her excellence in early-career research: ARC DECRA Fellow School of Public Health Top-Performing Level C (2024) School of Public Health Rising Star (2023) School of Public Health Top-Performing Level B (2022) APSAD Early Career Award (2020) UQ Early Career Researcher Grant (2019) Dr Puljevic actively supervises students and contributes to academic leadership as an Associate Editor for the International Journal of Drug Policy and Deputy Editor for Drug and Alcohol Review . She leads research teams in the Global Substance Use and Mental Health unit and collaborates on major projects such as QUANTEM and the Global Drug Survey. Her work bridges research, policy, and community engagement to improve health outcomes for vulnerable populations.

Alfredo Spagnaمشاهده پروفایل

مدرس

• Cognitive Neuroscience
• Perception
• Consciousness
• +۷ مورد دیگر

Alfredo Spagna is a Lecturer in the Discipline of Psychology at Columbia University and serves as Director of Undergraduate Studies for the Neuroscience & Behavior Major, Director of Undergraduate Research, and Co-Director of the STAR Program. He earned his Ph.D. in Cognitive Neuroscience, Psychology, and Psychophysiology from Sapienza University of Rome in 2014. Education: Ph.D., Sapienza University of Rome, 2014 His research investigates the cognitive and neural mechanisms of human attention and mental imagery, focusing on the interplay between frontoparietal networks and high-level visual regions. Methodologies include behavioral experiments, 3T/7T fMRI, MEG, sEEG, and mobile EEG. Current projects test a heterarchical model of visual mental imagery and examine attentional networks in social/non-social stimuli processing. Recent publications explore attentional reorienting in visual perception, cognitive control in depression, and interdisciplinary applications of neuroimaging. As a mentor, he guides undergraduate, graduate, and postdoctoral students in academic and research endeavors, emphasizing collaborative and inclusive environments. He founded The Living Lab, an interdisciplinary initiative integrating neuroscience, journalism, theater, and philosophy to address societally relevant topics such as diversity, equity, and inclusion (DEI) training efficacy and attentional mechanisms in mental imagery.

• Glomerulonephritis
• chronic kidney disease
• translational research
• +۵ مورد دیگر

Dr. Edmund Chung is a Clinical Senior Lecturer at Sydney Medical School, University of Sydney, affiliated with the Children's Hospital at Westmead and the Faculty of Medicine and Health. He works as a staff specialist nephrologist at Royal North Shore Hospital and conducts postdoctoral research at the Centre for Kidney Research at The Children's Hospital at Westmead. His primary clinical and research focus is on autoimmune kidney diseases, particularly membranous nephropathy and chronic kidney disease. Dr. Chung's educational background includes: Bachelor of Medicine (BMed) Doctor of Medicine (MD) Master of Medicine in Clinical Epidemiology (MMed (Clin Epi)) - completed in 2015 Doctor of Philosophy (PhD) - completed in 2025, supported by the NHMRC Postgraduate Research Scholarship Fellow of the Royal Australasian College of Physicians (FRACP) Dr. Chung's research focuses on glomerulonephritis, chronic kidney disease, and translational research , with particular emphasis on immunological mechanisms and novel therapies. His work bridges basic science and clinical practice, exploring cellular and molecular approaches to understand and treat autoimmune kidney diseases. His laboratory investigates autoreactive T-cells and B-cells in membranous nephropathy while developing innovative treatments like CAR T-cell therapies. Dr. Chung's research program is driven by patient perspectives, as evidenced by his qualitative studies on living with membranous nephropathy, ensuring his scientific inquiries address real clinical needs and patient experiences. Dr. Chung's recent publications demonstrate a strong focus on immunological mechanisms in kidney disease, particularly membranous nephropathy. His work spans basic science investigations using animal models, clinical studies of patient cohorts, and systematic reviews that inform international guidelines. A notable trend is his exploration of cellular therapies, especially CAR T-cell approaches, for treating autoimmune kidney diseases. His research also encompasses epidemiological studies of kidney diseases in Australian populations and the development of predictive models for disease recurrence after transplantation. The interdisciplinary nature of his work is evident in collaborations spanning nephrology, immunology, oncology, and transplantation medicine. Dr. Chung has received several prestigious awards and honors: Asian Pacific Society of Nephrology/Japanese Society of Nephrology Joint Symposium Invited Talk (2024) for "Membranous nephropathy: clearer immunopathogenesis and therapeutic implications" NHMRC Postgraduate Research Scholarship (2022) for research on "Treatments to expand regulatory T cells +/- deplete autoantibody production in membranous nephropathy" American Journal of Kidney Diseases Editor's Choice Award (2022) for "Incidence and outcomes of COVID-19 in people with CKD: a systematic review and meta-analysis" Dr. Chung serves as the Knowledge Translation and Dissemination Editor for the Cochrane Kidney and Transplant Group, where he creates educational content including webinars and podcasts with the International Society of Nephrology. He is actively involved in clinical trial networks through his position on the Australasian Kidney Trial Network Glomerulonephritis Working Group, supporting investigator-initiated trials in glomerulonephritis. Additionally, he contributes to the ClinGen Glomerulopathy Working Group as a Biocurator, working to understand the genetic basis of glomerulonephritis. His research is supported by collaborations across multiple institutions and his leadership in establishing the Australian glomerulonephritis cohort (PEACH) to facilitate patient-focused research in membranous nephropathy. Dr. Chung leads research at the Centre for Kidney Research at The Children's Hospital at Westmead, where his team investigates autoreactive T-cells and B-cells in patients with membranous nephropathy. He has established the PEACH cohort (Patient Experience in Autoimmune Chronic Kidney Disease) to study membranous nephropathy, the most common form of nephrotic syndrome in adults. His laboratory work focuses on developing novel CAR T-cell therapies for autoimmune kidney diseases. Dr. Chung collaborates with immunologists, basic scientists, and clinicians across multiple institutions to advance understanding and treatment of glomerulonephritis.

Jamie Amemiyaمشاهده پروفایل

استادیار

• Social Cognition
• Developmental Psychology
• Social Inequality
• +۶ مورد دیگر

Jamie Amemiya serves as an Assistant Professor in the Department of Psychology at Occidental College, appointed in 2023. His research bridges developmental and social psychology with a focus on how children and adults conceptualize societal structures. His educational background includes a B.S. from the University of California, Irvine and M.S./Ph.D. from the University of Pittsburgh. His work examines critical aspects of social cognition development including structural reasoning about inequality, representation of social hierarchies, and causal judgment formation. Amemiya's research program investigates how people reason about social inequality causes, with projects spanning multiple cultural contexts including Indonesia and Brazil. His work integrates counterfactual reasoning theories with social cognition to develop frameworks for understanding structural thinking development. Current projects include "Thinking Structurally about Inequality," "Representing Complex Status Hierarchies," and "Humane Genetics Education" – the latter developing anti-racist curriculum modules to combat genetic essentialism. Analysis of his recent publications reveals strong emphasis on developmental trajectories in social cognition, cross-cultural comparisons of race concepts, and educational interventions targeting structural inequality recognition. His work consistently applies cognitive frameworks to socially relevant issues with practical implications for education and social justice. Amemiya actively mentors undergraduate researchers including Kiara Widjanarko, Irene Chung, and Daniela Sodré. His collaborative work spans institutions including BSCS Science Learning and involves interdisciplinary teams addressing complex societal problems through psychological science. He maintains active research laboratories focused on child development and social cognition, with ongoing projects examining polarization in causal judgments, race concepts across cultures, and inferences from disagreement. His work combines experimental methods with computational modeling approaches to investigate underlying cognitive mechanisms.

Jie Dingمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Statistics
• Scientific Computing
• +۶ مورد دیگر

Jie Ding is an Associate Professor at the University of Minnesota's School of Statistics with graduate faculty appointments in Electrical Engineering, Computer Science, and the Data Science Program. He serves as a core faculty member of the Data Science and AI Hub and holds an Amazon Scholar position with the Amazon AGI Team focusing on foundation model training. His educational background includes a Ph.D. in Engineering Sciences from Harvard University (2017), postdoctoral work at Duke University (2018), and a B.S. from Tsinghua University where he participated in both the Math & Physics Academic Talent Program and Electrical Engineering program. Ding's research sits at the intersection of artificial intelligence, statistics, and scientific computing, with focus areas including Agentic AI for autonomous data science workflows, AI Foundations for interpretability and trustworthiness, Scalable Modeling for broader AI accessibility, Decentralized and Collaborative AI systems, and AI Safety addressing privacy and security concerns. He developed the STAT 8931 Generative AI course with open-source materials available at genai-course.jding.org . His recent publications demonstrate strong activity across multiple AI subfields, particularly in value alignment (MAP framework), AI safety mechanisms, federated learning innovations, and statistical foundations for modern AI systems. The breadth of venues (ICML, ICLR, NeurIPS) indicates significant impact across the AI research community. NSF CAREER Award (2024) Army Early Career Program (Young Investigator) Award (2023) Cisco Research Award (2022-25) AWS Cloud Credits for Research (2021-22) Meta/Facebook Faculty Research Award (2021-22) UMN Thank-A-Teacher Teaching Award (2019-20) Ding leads the Agentic AI for Data Science Benchmark initiative, collaborating with University of Minnesota colleagues and Minnesota industry partners to evaluate AI agent capabilities across healthcare, insurance, retail, energy and other sectors. His research group actively recruits PhD students interested in AI/Statistics intersections, with focus on developing theoretically grounded yet practically impactful AI systems.

Matthew Bourneمشاهده پروفایل

دانشیار

• Sports Medicine
• Exercise Science
• Injury Prevention
• +۷ مورد دیگر

Associate Professor Matthew Bourne is a leading researcher in sports medicine and exercise science at Griffith University's School of Health Sciences and Social Work. He leads the Precision Athlete research program at the Australian Centre for Precision Health and Technology (PRECISE) and serves as a Visiting Fellow at the University of South Wales (2024-2027). His research is internationally recognized across health, sport, and biotechnology domains, with 75% of his publications appearing in the top 10% most-cited journals. He ranks among the top 0.3% of global experts in "Leg Injuries" and was named the world's leading expert in "Hamstring Muscles" by Expertscape in 2023. His research interests focus on precision training strategies for optimizing athlete health, enhancing performance, and preventing injury. He specializes in biomechanics, injury prevention (particularly ACL and hamstring injuries), muscle physiology, and the application of sports technology in athletic performance. His work bridges the gap between laboratory research and field applications, developing practical solutions for athletes and clinicians. His recent publications demonstrate a strong focus on lower limb biomechanics, injury risk factors, rehabilitation protocols, and the application of technology in sports performance assessment. His research spans systematic reviews, biomechanical modeling, clinical studies on injury prevention, and validation of assessment technologies, with a particular emphasis on female athletes and precision approaches to training. Advance Queensland Industry Research Fellowship (2023-2025) MTPConnect REDI Fellowship (2022-2023) Queensland Flying Scientist (2025) Professor Bourne actively supervises numerous doctoral and master's students, with current projects focusing on concussion prevention, ACL injury risk factors, and lower limb biomechanics. His research is supported by significant grants from the Queensland Academy of Sport, Department of Tourism and Sport, Australian Institute of Sport, and industry partners like VALD Performance. He leads the Precision Athlete research program at PRECISE, which develops cutting-edge precision training strategies through a multidisciplinary team of research fellows and higher degree students.