Find Academic Supervisors

• Medical Robotics
• Orthopedic Surgery
• Arthroscopy
• +3 more

Dr. Anjali Tumkur Jaiprakash is a research professor at Queensland University of Technology's Institute of Health and Biomedical Innovation, specializing in medical robotics and surgical innovation. Her work spans orthopedic surgery, robotic arthroscopy, healthcare co-design, and medical imaging technologies. With over 40 publications since 2012, she maintains active research collaborations across engineering and clinical disciplines. Her primary research explores: Robotic systems for minimally invasive surgery, particularly knee arthroscopy Computer vision applications for surgical navigation and anatomical measurement Deep learning approaches for medical image analysis Human-centered design for healthcare services and medical devices Orthopedic infection prevention and fracture healing biomechanics Publication analysis reveals strong emphasis on surgical robotics (43%), orthopedic clinical applications (36%), and healthcare design methodologies (21%). Recent work shows increasing focus on AI integration in surgical devices and epidemiological studies of orthopedic complications. Collaborative outputs demonstrate interdisciplinary networks spanning engineering, clinical medicine, and design disciplines. Dr. Jaiprakash contributes to significant research infrastructure including the Australian Centre for Robotic Vision and leads projects on robotic knee arthroscopy systems. She collaborates extensively with Princess Alexandra Hospital and international institutions on surgical technology innovation.

TSUMURA TomoakiView profile

Professor

• Parallel Processing
• High Performance Computing
• Computer Architecture
• +7 more

TSUMURA Tomoaki is a Professor at the Department of Information Engineering, Graduate School of Engineering, Nagoya Institute of Technology. With a Doctor of Informatics from Kyoto University (2004), he has established himself as a leading researcher in computer architecture, parallel processing, and high-performance computing. His academic career spans from research assistant positions at Kyoto and Toyohashi Universities to his current professorship at Nagoya Institute of Technology. Graduated from Faculty of Engineering, Kyoto University (1996) Master of Engineering, Graduate School of Engineering, Kyoto University (1998) Doctor of Informatics, Graduate School of Information and Communication, Kyoto University (2004) Professor TSUMURA's research focuses on parallel processing systems, high-performance computing architectures, and innovative memory systems. His work bridges theoretical computer science with practical implementations, particularly in transactional memory systems, auto-memoization processors, and GPU computing. His research group has made significant contributions to shared memory parallel computing platforms that balance productivity and performance, with recent work extending to approximate computing applications and energy-efficient processor designs. His publication record shows a consistent output of high-impact research, with numerous papers presented at prestigious venues like xSIG, IEEE conferences, and IPSJ journals. The research trends indicate a strong focus on practical computing systems that address real-world challenges in parallelism, memory management, and energy efficiency. Recent work has particularly emphasized GPU computing, transactional memory systems, and precision optimization in numerical computing. Computer Science Field Achievement Award (IPSJ, 2019) Activity Contribution Award (IEICE, 2017) Multiple Best Paper/Research Awards from IEEE, ICNC, and xSIG conferences 1st Place in Championship Branch Prediction (CBP 2025) Professor TSUMURA has successfully secured substantial research funding, including multiple JSPS Grant-in-Aid projects spanning from 2006 to the present. His current major project "Software cache and distributed time management for shared memory massively parallel computing platform" (2025-2029) continues his long-standing research trajectory. He actively advises numerous graduate students, with many appearing as first authors on publications where he serves as corresponding author. His leadership extends to committee memberships including Chair of the IPSJ System Architecture Research Group and Editor-in-Chief of the IPSJ Journal of Computing Systems. Through his laboratory (tsumulab.org), Professor TSUMURA leads a research team focused on next-generation computing systems, with particular emphasis on practical implementations of theoretical concepts in computer architecture. The lab maintains strong industry and academic collaborations, evidenced by joint research projects and participation in international competitions like Championship Branch Prediction.

Michael LaCourView profile

Researcher

• Biomechanics
• Biomedical Engineering
• Musculoskeletal Research
• +3 more

Michael LaCour is a Research Assistant Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville, TN, since 2019. His research focuses on biomechanics, total joint replacement systems, and in vivo kinematic analysis of orthopedic implants. He contributes to computational modeling and failure analysis of musculoskeletal devices. Education: PhD in Biomedical Engineering (2017), University of Tennessee, Knoxville M.S. in Biomedical Engineering (2016), University of Tennessee, Knoxville B.S. in Mechanical Engineering (2012), Clemson University Research Trends: His recent publications (2025–2024) emphasize biomechanics, orthopedic surgery, and computational modeling, with subfields spanning implant design, kinematic analysis, deep learning applications, and surgical planning tools. Topics include total knee and hip arthroplasty, ligament stabilization, and robotic-assisted techniques. Professional Service: He is a member of Pi Tau Sigma, Tau Beta Pi, and the American Society of Mechanical Engineers, and a reviewer for The Knee journal.

Steven YangView profile

Assistant Professor

• Orthopedic Surgery
• Adult Reconstructive Surgery
• Hip and Knee Arthroplasty
• +11 more

Dr. Steven Yang is an Assistant Professor of Orthopedic Surgery at the University of California, Irvine (UCI) School of Medicine, where he specializes in adult reconstructive surgery with a focus on hip and knee arthroplasty. He is a fellowship-trained orthopedic surgeon serving patients in Orange County, with clinical expertise in primary and revision joint replacements, including anterior-approach hip replacement, computer-assisted techniques, and partial knee replacements. University: University of California, Irvine School: School of Medicine Department: Department of Orthopedic Surgery Academic Rank: Assistant Professor Dr. Yang's research is centered on improving outcomes in joint replacement, with specific interests in metal allergies, surgical techniques for anterior hip replacement, and enhancing function in younger patients undergoing arthroplasty. His work bridges clinical innovation with patient-centered care, emphasizing minimally invasive and personalized approaches. Although specific publications are not listed, Dr. Yang has authored numerous articles and book chapters in the field of joint replacement. His clinical practice employs up-to-date technologies and a team-based approach to help patients return to active lifestyles. He is actively involved in medical education at UCI, mentoring students and residents through the orthopedic residency and fellowship programs. Dr. Yang completed his undergraduate and master's training in Bioinformatics and Molecular Biology at the University of California San Diego, earned dual M.D. and M.B.A. degrees from the University of Miami, completed orthopedic surgery residency at Harbor-UCLA Medical Center, and finished a fellowship in adult reconstructive surgery at Columbia University. He practices at multiple locations in Irvine, Laguna Hills, Tustin, and Orange, CA.

• Anatomo-pathology
• Forensic pathology
• Neuroscience
• +5 more

Jean-Luc Laporte is a Clinical Assistant Professor in the Department of Pathology and Cell Biology at the Faculty of Medicine, University of Montreal . His work spans anatomo-pathology , forensic pathology , and neuroscience . Research Focus: Integrating behavioral neuroscience with pathological diagnostics to advance understanding of neuropsychiatric disorders and inflammatory diseases Publications (Trends): Specializing in neurophenotyping , animal models of anxiety/depression , and pathological case studies . Key themes include serotonin toxicity , grooming microstructure analysis , and cutaneous disease diagnostics . Awards: 1993 GCB-Glaxo DEA Prize for Diplôme d’études supérieures research Collaborations: Active in multidisciplinary research with institutions in Canada, France, and international partners in biomedical research and academic networks . Education and Grants: Details not explicitly provided in the text, but inferred from DEA Prize and academic collaborations. No direct mentions of current or future works, but consistent publication record suggests ongoing research in pathology-neuroscience intersections .

• Biomechanics
• Biomedical Engineering
• Orthopedic Engineering
• +5 more

Maha Ead serves as an Assistant Teaching Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Alberta. She teaches core mechanical engineering courses including Mechanics (EN PH 131), Introduction to Thermo-Fluid Sciences (MEC E 230), Mechanical Measurements (MEC E 300B), and Advanced Solid Modeling for Design (MEC E 595) for upcoming terms through Winter 2026. Dr. Ead's research focuses on the intersection of mechanical engineering principles and biomedical applications, with particular emphasis on biomechanics of articular cartilage and pelvic structures. Her work demonstrates expertise in computational modeling, medical imaging analysis, and mechanical testing of biological tissues. She investigates cryopreservation techniques for cartilage, joint resurfacing approaches, and virtual reconstruction methods for pelvic fractures, bridging engineering fundamentals with clinical orthopedic applications. Analysis of her publication record since 2020 reveals a clear progression from fundamental mechanical properties research toward clinically relevant applications in orthopedics. Her work consistently applies mechanical engineering principles to solve medical problems, particularly in joint replacement and fracture reconstruction. The publications show strong interdisciplinary collaboration with medical researchers and clinicians, appearing in reputable journals including Annals of Biomedical Engineering and The American Journal of Sports Medicine. Dr. Ead's teaching portfolio reflects her technical expertise across mechanical engineering fundamentals and specialized biomedical applications. Her courses span from introductory mechanics to advanced solid modeling, demonstrating both breadth and depth in mechanical engineering education. The Advanced Solid Modeling for Design course particularly aligns with her research interests in computational modeling and medical applications.

Jasper FoolenView profile

Assistant Professor

• Mechanobiology
• Tissue Regeneration
• Orthopaedic Biomechanics
• +2 more

Jasper Foolen is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with the Orthopaedic Biomechanics group in the Department of Biomedical Engineering and the Institute for Complex Molecular Systems (ICMS). His research explores mechanobiological processes in tendon/ligament degeneration and healing, utilizing biomimetic models and computational approaches to develop regenerative strategies for musculoskeletal injuries. Education: BSc Mechanical Engineering (Fontys, 2000), BSc/MSc Biomedical Engineering (TU/e, 2003/2005), PhD (TU/e, 2009) on periosteal involvement in bone growth. Postdoctoral training included positions at TU/e (2009-2013) and ETH Zurich (2013-2016) before returning to TU/e as faculty. Research Focus: Mechanobiology of tendon/ligament injuries, cellular organization in 3D tissues, fibrosis mechanisms, and development of diagnostic platforms like in vitro tissue remodeling systems. Recent work investigates cellular junctions and 3D tissue healing capacities. Awards & Recognition: Jury Award Best Scientific Paper (2021) European Society of Biomechanics SM Perren Award (2010) Leads projects on cellular mechanotransduction and collaborates on European initiatives like the TRIANKLE project for 3D-bioprinted ankle implants.

Ajay GuptaView profile

Professor

• High Performance Computing
• Proteogenomics
• Data Analytics
• +10 more

Ajay Gupta is a Professor in the Department of Computer Science at Western Michigan University's College of Engineering & Applied Sciences. He previously served as Department Chairman from 1998-2002 and directs the Wireless Sensor Network Laboratory (WiSe Lab). He holds a Ph.D. in Computer Science from Purdue University (1989), M.S. in Mathematics and Statistics from University of Cincinnati (1984), and B.E. in Electrical and Electronics Engineering from Birla Institute of Technology and Sciences, Pilani. His research spans high-performance computing, proteogenomics, data analytics, machine learning, sensor networks, cloud/mobile computing, web technologies, computer networks, evolutionary computation, and parallel/distributed algorithms. His published work includes significant contributions to computational methods and networking. Awards include: Best Paper nomination at HPCS 2016 Best Paper award at International Conference on High Performance Computing 1996 Honorable mention at CERIAS Symposium 2006 He holds joint copyright for parallel/distributed numerical integration software ParInt 1.1. As IEEE senior member, he participates in curriculum development and conference organization globally.

Marley DeweyView profile

Assistant Professor

• Extracellular Vesicles
• Bone Regeneration
• Tissue Engineering
• +2 more

Marley Dewey is an Assistant Professor in the Department of Biological Engineering at UC Santa Barbara. She earned her B.S. in Chemical Engineering from the University of Maine and Ph.D. in Materials Science and Engineering from the University of Illinois Urbana-Champaign. Dr. Dewey leads the Dewey Lab, which focuses on understanding how extracellular vesicles influence aging processes and developing biomaterial solutions for age-related diseases. Her research combines biomaterials science with 3D-printing technology to create tissue mimics that model bone diseases and develop regenerative therapies. Key areas include: Role of extracellular vesicles in tissue repair and aging Development of mineralized collagen scaffolds for bone regeneration Antimicrobial strategies for implant-associated infections Coral reef restoration using tissue engineering principles Recent publications demonstrate a strong focus on nanovesicle biology, particularly matrix-bound nanovesicles, and their therapeutic applications in neuroprotection and bone regeneration. Her work spans basic vesicle characterization, biomaterial development, and translational applications in ophthalmology and orthopedics. Awards include the National Science Foundation Graduate Research Fellowship and Annual Innovation Award for Outstanding PhD Thesis. She mentors graduate students Renata Dos Reis Marques and Andrew White, and undergraduates Georgia Edmondson, Ava Salami, Vidya Sundaram, and Catherine Zhu on projects involving bone repair, infection prevention, and coral restoration.

Hortense Le FerrandView profile

Associate Professor

• Additive and Advanced Manufacturing
• Biomimicry/Bioinspiration
• Advanced Composites
• +5 more

Hortense Le Ferrand serves as Associate Professor with a joint appointment between the School of Mechanical & Aerospace Engineering and the School of Materials Science & Engineering at Nanyang Technological University (NTU), Singapore. She holds the prestigious Provost's Chair in Mechanical and Aerospace Engineering, reflecting her significant contributions to the field. Her research group operates at the intersection of sustainable manufacturing and bioinspired design, developing innovative materials with applications ranging from thermal management to biomedical implants. Ingénieur Degree from ESPCI Paris, France MSc and PhD in Materials Science from ETH Zürich, Switzerland Visiting scholar at Purdue University, USA Postdoctoral visiting scholar at Center for Biomimetic Sensor Science at NTU Professor Le Ferrand's research focuses on developing sustainable materials through bioinspired approaches. Her group combines additive manufacturing techniques with abundant, eco-friendly building blocks and water-based solvents to create composites with complex microstructures that mimic nature's designs. These materials exhibit unusual combinations of properties that enable applications in thermal management for electronics and architecture, biomedical implants, protective ceramics, and sustainable construction materials. Her most notable work involves mycelium-based composites with elephant skin-inspired textures that provide passive cooling for buildings in tropical climates. Analysis of her recent publications reveals a strong emphasis on sustainable materials development, particularly mycelium composites and bioinspired ceramics. Her research demonstrates a clear trajectory toward practical applications in construction, electronics cooling, and biomedical fields. The interdisciplinary nature of her work is evident through collaborations with institutions worldwide including Purdue University, ETH Zurich, and various Singaporean research centers. MIT Innovators Under 35 list (2023) Nature Award: Inspiring Women in Science, Scientific achievement category (2023) Nanyang Research Award, Young Investigator World's Top 2% Scientists List Identified by Stanford University Listed among top 50 Asia Women Tech Leaders Singapore Women in Tech list curated by Singapore Computer Society Professor Le Ferrand actively mentors numerous PhD and Master's students while collaborating with industry partners to translate laboratory discoveries into real-world applications. Her research group has filed four patent applications in the past five years, with growing industry interest in scaling their sustainable manufacturing processes. She frequently engages in outreach activities, including workshops with pre-university students and collaborations with organizations focused on sustainable design and biomimicry in policy contexts. The research group maintains strong laboratory facilities for additive manufacturing and materials characterization, with particular expertise in magnetic-assisted 3D printing technologies. They collaborate extensively with the Future Cities Laboratory and have established partnerships with BioSEA Ltd and Mykilio for developing mycelium-based building materials. The group's work on elephant-skin inspired mycelium tiles has been installed at NTU's North Spine as a real-world test in Singapore's tropical climate.

Elisa ChisariView profile

Assistant Professor

• Cosmology
• Galaxy Dynamics
• Gravitational Lensing
• +6 more

Dr. Elisa Chisari is an Assistant Professor at Utrecht University, affiliated with the Dutch Research School of Theoretical Physics (DRSTP). Her research focuses on developing and testing cosmological models to understand galaxy shape evolution through gravitational lensing and tidal effects, with a particular emphasis on dark matter and dark energy. She leads a research group exploring how cosmic phenomena influence galaxy structures. Dr. Chisari actively contributes to the DRSTP’s educational mission, emphasizing high-quality theoretical physics training for students and fostering interdisciplinary collaboration across institutions. Her work bridges observational and theoretical cosmology, with recent contributions to the KiDS-Legacy Survey and the Euclid mission. Her research interests include intrinsic galaxy alignments, cosmic shear analysis, and baryonic effects on cosmological observables. She collaborates on large-scale projects like the KiDS Survey and the OpenUniverse initiative, aiming to unify cosmological simulation frameworks for next-generation surveys. While no specific awards are mentioned, her contributions to cosmological analysis tools like OneCovariance highlight her technical expertise. She advises PhD students focused on cosmological modeling and observational techniques. Her group’s work is centered at the Buys Ballot Building in Utrecht, Netherlands.

Ahmad P. TaftiView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Medical Image Analysis
• +4 more

Dr. Ahmad P. Tafti is an Assistant Professor of Health Informatics in the Department of Health Information Management at the University of Pittsburgh's School of Health and Rehabilitation Sciences. He holds a secondary appointment in the Intelligent Systems Program (ISP) and leads the Pitt HexAI Research Laboratory. His research focuses on AI-driven healthcare solutions, particularly in medical image analysis, explainable AI, and machine learning for clinical diagnostics. Dr. Tafti has earned a PhD in Computer Science from the University of Wisconsin-Milwaukee and advanced degrees from Azad University, Iran. He is affiliated with the Center for AI Innovation in Medical Imaging (CAIIMI) and serves as Vice Chair of the IEEE Computer Society in Pittsburgh. His work emphasizes ethical AI applications, bias mitigation in medical imaging, and advancing technologies like generative AI for pathology and orthopedic care. Notable awards include the 2021 SiiM Imaging Innovator Award and NVIDIA GPU grants. Dr. Tafti's contributions span clinical data analytics, smartphone health apps, and interdisciplinary collaborations to improve patient outcomes. Educational Background: PhD, Computer Science, University of Wisconsin-Milwaukee, US MSc, Computer Science, Azad University, Iran BS, Computer Science, Azad University, Iran His research portfolio includes developing AI tools for knee osteoarthritis grading, fair machine learning models in orthopedic imaging, and textual analysis of clinical data. Dr. Tafti's lab (Pitt HexAI) pioneers projects like the HexAI-TJAtxt dataset for joint replacement research. He actively bridges AI innovation with clinical practice to address healthcare disparities and enhance diagnostic accuracy.

Claus VarnumView profile

Professor

• Orthopaedic Surgery
• Total Hip Arthroplasty
• Total Knee Arthroplasty
• +12 more

Claus Varnum is a Professor and Head of Research at the Research Unit of Orthopaedics, IRS – Lillebælt Hospital, under the Faculty of Health Sciences at the University of Southern Denmark. His work focuses on clinical and epidemiological research in orthopaedic surgery, particularly total hip and knee arthroplasty, implant survival, and fast-track surgical pathways. Research Interests: His primary research areas include osteoarthritis management, joint replacement outcomes, patient-reported outcomes, and the impact of preoperative conditions like iron deficiency on surgical recovery. He utilizes large-scale registry data from Nordic countries to conduct cohort analyses and comparative effectiveness studies. The recent publications highlight a strong trend toward evaluating clinical outcomes in fast-track and day-case arthroplasty, analyzing implant longevity using registry data, and integrating patient-centered metrics such as expectations and reported outcomes. His work bridges clinical practice with data-driven epidemiology. Scientific Awards: No specific awards mentioned in the text. Advising and Grants: Claus Varnum serves as a supervisor in PhD projects, including the recently completed 'PATI-Projektet' on patient involvement in osteoarthritis treatment. He collaborates extensively with national and Nordic registries and leads research initiatives focused on improving decision quality and patient outcomes in joint replacement surgery. Labs and Teams: He leads the Research Unit of Orthopaedics at Vejle, part of the Department of Regional Health Research, and collaborates with interdisciplinary teams across Denmark and the Nordic region, including the Danish Hip Arthroplasty Register and the Nordic Arthroplasty Register Association (NARA).

• Orthopaedic Surgery
• Biomedical Engineering
• Medical Device Design
• +15 more

Daniel Wiznia is an Associate Professor at Yale School of Medicine in the Department of Orthopaedics & Rehabilitation and holds a joint appointment in Mechanical Engineering & Materials Science at the Yale School of Engineering & Applied Science. He serves as Co-Director of Yale's Avascular Necrosis & Osteonecrosis Program, Associate Vice Chair of Research (Basic Science) in Orthopaedics, and Director of Technology and Innovation in General Orthopaedics. His clinical expertise includes robotic- and computer-navigated total joint replacement, with a focus on hip and knee reconstruction and preservation of native joints in avascular necrosis. Associate Professor, Orthopaedics & Rehabilitation, Yale School of Medicine Associate Professor, Mechanical Engineering & Materials Science, Yale School of Engineering & Applied Science Co-Director, Avascular Necrosis & Osteonecrosis Program Associate Vice Chair of Research, Basic Science, Department of Orthopaedics Director of Technology and Innovation, Department of Orthopaedics Co-Director, Master’s Program in Personalized Medicine & Applied Engineering Dr. Wiznia’s research spans multiple domains: advancing 3D computer-navigated treatments for avascular necrosis, improving outcomes in total joint replacement through robotics and AI, reducing surgical complications, and addressing musculoskeletal healthcare disparities. His lab develops patient-specific surgical guides, implants, and stem cell therapies. He also investigates access-to-care disparities, particularly for Medicaid patients, using audit studies and policy analysis. His recent publications reflect a strong trend toward integrating engineering and clinical orthopedics, with a focus on personalized, technology-driven interventions. Key themes include 3D modeling, robotic surgery, AI-assisted diagnostics, and health equity in orthopedic care. His work bridges biomechanics, regenerative medicine, and public health, demonstrating a multidisciplinary approach to improving patient outcomes. Scientific honors include: Blavatnik Award for Dynamic 3D Morphometric Analysis Honorary Member Award from the National Association of Orthopaedic Nurses Finalist in Swimming with Sharks medical innovation competition Team leader and finalist in Hack The OR medical device challenge Finalist for the William Jaffe MD Adult Reconstruction Fellowship Research Award Dr. Wiznia mentors medical and engineering students, supports PhD candidates and physician-scientists, and leads educational initiatives including ME/BME404: Medical Device Design & Innovation. He has received grant support for opioid-sparing protocols and is involved in clinical trials aimed at improving postoperative care. He is a fellow of the American Academy of Orthopaedic Surgeons and the American Association of Hip and Knee Surgeons, and a member of several professional societies. He leads the 3D Orthopaedics Lab and the Yale Avascular Necrosis Program, fostering collaboration between clinicians, engineers, and researchers to develop innovative, patient-centered solutions for complex orthopedic conditions.

• Machine Learning
• High Dimensional Data Analysis
• Functional Data Analysis
• +12 more

Fei Jiang, PhD, MS is an Associate Professor in the Department of Epidemiology & Biostatistics at the University of California, San Francisco (UCSF) , School of Medicine. She previously served as an Assistant Professor in Statistics at the University of Hong Kong, where she contributed to the establishment of the Master of Data Science and Artificial Intelligence program. Her academic journey includes a Ph.D. in Statistics from Rice University, an M.S. in Biostatistics from The University of Texas at Houston, and a postdoctoral fellowship at Harvard University. Ph.D., Statistics, Rice University, Houston (2014) M.S., Biostatistics, The University of Texas at Houston (2010) Postdoctoral Fellow, Biostatistics, Harvard University, Boston (2016) Dr. Jiang's research centers on machine learning, high-dimensional modeling, functional data analysis, and measurement error models , with applications in neuroimaging, genetics, stroke, cardiovascular disease, and digital health . Her work bridges statistical theory and practical medical challenges, particularly in clinical trial design and analysis of complex biomedical data. She has developed methods for adaptive randomization, change point detection, and functional quantile regression, applied to datasets such as BOSS (blood pressure and stroke outcomes). Her recent publications reveal a strong trend in neuroimaging, oncology, and musculoskeletal health , with a focus on Alzheimer's disease, brain functional connectivity, osteoarthritis, and prostate cancer imaging . She frequently collaborates on interdisciplinary projects involving MEG/EEG, fMRI, and PET/MRI, leveraging advanced statistical frameworks to extract meaningful biological insights. Her work on digital twins for knee joints and brain metastasis atlases highlights her innovative approach to precision medicine. Her scientific contributions have been recognized with awards including: Stroke and Vascular Neurology High Impact Paper Award (2018) ENAR Distinguished Student Paper Award (2013) Rice Graduate Student Fellowship (2012) Dr. Jiang has secured significant research funding as Principal Investigator from the National Institutes of Health (NIH) and the Research Grants Council of Hong Kong . Her current projects include developing statistical tensor models for aneurysm growth prediction and machine learning frameworks for dementia. She has supervised and collaborated with numerous students and researchers, contributing to high-impact publications in journals like Nature Communications, NeuroImage, and Biometrics . She has also been involved in clinical trials related to acupuncture and pain management. Her lab, Jiang's Lab , focuses on creating data-driven tools for biomedical discovery.