جست‌وجوی استاد و پژوهشگر

Lauren Cirrincioneمشاهده پروفایل

دانشیار

• Infectious Diseases
• Mechanisms of Drug Interactions
• Pharmacokinetics-Pharmacodynamics
• +۵ مورد دیگر

Dr. Lauren Cirrincione is an Associate Professor in the Department of Pharmacy at the University of Washington School of Pharmacy in Seattle, Washington. Her academic appointment is within the Department of Pharmacy, which is part of the School of Pharmacy at the University of Washington. Dr. Cirrincione earned her Doctor of Pharmacy (PharmD) degree from the University of Pittsburgh School of Pharmacy and a Master of Public Health (MPH) in epidemiology from the University of Nebraska Medical Center. She completed a clinical pharmacology fellowship in HIV at the University of Nebraska Medical Center. Dr. Cirrincione's research program addresses mechanisms of hormone-mediated drug interactions, with a primary focus on clinical, translational pharmacology in transgender medicine. Her expertise spans Infectious Diseases, Mechanisms of Drug Interactions, Pharmacokinetics-Pharmacodynamics, Transgender and Gender Diverse Research, and Translational Research. Her work examines how gender-affirming hormone therapy interacts with other medications, particularly antiretrovirals, and investigates the clinical implications of these interactions for transgender patients. She has made significant contributions to understanding estradiol concentrations in gender-affirming therapy, kidney function assessment in gender-diverse populations, and the inclusion of transgender individuals in clinical trials. Her publications demonstrate a consistent focus on improving pharmacological care for transgender and gender-diverse individuals, with recent work examining adolescent transgender medicine, psychotropic medication interactions, and self-injection experiences among transgender people on hormone therapy. Her research bridges clinical pharmacology with gender-affirming care, addressing critical gaps in evidence-based practice for this population. Dr. Cirrincione teaches PHRMCY 535: Pharmacotherapeutics V at the University of Washington School of Pharmacy. Her scientific contributions have advanced the field of transgender pharmacology, with particular emphasis on clinical applications and evidence-based approaches to medication management for transgender patients.

Jun Zhuangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robust Machine Learning
• Trustworthy AI Systems
• +۵ مورد دیگر

Jun Zhuang is an Assistant Professor in the Department of Computer Science at Boise State University. He holds a Ph.D. from Indiana University-Purdue University Indianapolis (IUPUI), M.S. degrees in Computer Science (University at Buffalo) and Finance (Rochester Institute of Technology), and a B.E. in Safety Engineering (South China University of Technology). His research focuses on trustworthy and robust AI systems, Bayesian inference, generative models, quantum computing, and medical imaging. Education: Ph.D., Computer Science, IUPUI (2023) M.S., Computer Science, University at Buffalo (2018) M.S., Finance, Rochester Institute of Technology (2013) B.E., Safety Engineering, South China University of Technology (2011) Research Interests: Jun investigates robust machine learning algorithms, particularly in quantum information, medical imaging, and graph-based systems. He emphasizes mitigating adversarial attacks, enhancing model interpretability, and integrating blockchain for AI security. His work spans theoretical foundations and practical applications, including generative adversarial networks (GANs) and trustworthy AI frameworks. Recent Articles: His recent work addresses jailbreaking vulnerabilities in large language models (LLMs), quantum computing optimization challenges, and robust graph structure learning. These studies highlight interdisciplinary approaches to advancing AI reliability and security. Awards & Grants: Recipient of the SIGIR Student Travel Grant for CIKM 2022. Active in grant activities through research collaborations and institutional funding. Advising & Labs: Advisor to Ph.D. student Maqsudur Rahman and M.S. students Chia-Ying Wu and Shipra Kumari. Leads the T rustworthy and R obust AI L ab (TRAIL), focusing on developing resilient AI systems.

• Computational Fluid Dynamics
• Internal Combustion Engines
• Cavitation
• +۱۳ مورد دیگر

Professor Manolis Gavaises is a leading academic in the field of mechanical engineering and computational fluid dynamics at City St George's, University of London, where he holds the position of Professor in the School of Engineering and Mathematical Sciences. He earned his PhD from Imperial College London and has been a faculty member since 2001, progressing to full Professor in 2009. His research is centered on advanced modeling of multi-phase flows, cavitation, and fuel injection systems, with extensive collaborations across Europe and industry partners such as Delphi, Caterpillar, and BP. Education: DIC, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 PhD, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 Diploma (5 years), Mechanical Engineering, National Technical University of Athens, 1992 His research interests span computational fluid dynamics, cavitation, fuel injection, atomization, high-pressure and supercritical flows, and alternative fuels . He has developed advanced numerical models and experimental techniques, including X-ray phase contrast imaging and high-pressure test rigs. His work integrates fundamental DNS and LES simulations with industrial applications in automotive, marine, aerospace, and medical devices such as heart valves. The recent publications reflect a strong trend toward real-fluid thermodynamic modeling (e.g., PC-SAFT), multi-component fuel behavior, cavitation erosion, and advanced diagnostics . His research increasingly incorporates machine learning and high-fidelity imaging to understand complex flow phenomena across energy, transportation, and biomedical domains. Scientific Awards and Recognitions: Richard Way Prize (1998) Arch T. Collwell Merit Award (1998) Best Oral Paper, SAE World Congress (2006) PE Publication Award, IMechE (2007) Best Presentation Award, Engine Combustion Processes (2009) Fellow, IMechE (2013) Fellow, IMA (2015) As a dedicated mentor, Professor Gavaises has supervised 13 PhDs to completion and currently guides 23 doctoral students. He has secured over €16 million in EU and UK funding, including multiple Horizon 2020 Marie Skłodowska-Curie ITN projects (CAFÉ, HAOS, IPPAD), which support 46 early-career researchers globally. He has created academic opportunities for post-docs and junior faculty, significantly advancing the research profile of his institution. He leads the International Institute of Cavitation Research (IICR), co-founded in 2011 with partners from Loughborough University, TU Delft, and Imperial College, supported by The Lloyd’s Register Foundation. His lab maintains strong experimental capabilities, including a 2000bar pressure flow rig with micro-transparent nozzles and collaborations with Argonne National Laboratory for X-ray imaging.

• Microbiomics
• Genomics
• Complex Diseases
• +۴ مورد دیگر

Elin Org is a Professor of Microbiomics at the University of Tartu's Institute of Genomics, where she also serves as Head of the Estonian Genome Centre and Vice Director of the Institute. Her academic career spans over two decades with significant contributions to microbiome and genomic research. Education: PhD in Genetics, University of Tartu (2006) Master's Degree in Molecular Biotechnology and Biomedicine, University of Tartu (2000) Bachelor's Degree, University of Tartu (1997) Classical Singing, Heino Eller Tartu Music School (1996) Professor Org's research primarily focuses on the intricate relationships between host and gut microbiota and their influence on metabolism and common complex diseases. Her work bridges microbiomics, genomics, and complex disease research, with particular emphasis on understanding how gut microbiome composition affects human health. She has pioneered research connecting long-term antibiotic usage with microbiota-dependent effects and has made significant contributions to understanding the role of gut microbiome in conditions such as gestational diabetes, endometriosis, and polycystic ovary syndrome. Her approach integrates advanced computational methods with comprehensive health data to uncover causal relationships in microbiome research. Her recent publications demonstrate a strong trend toward integrating microbiome data with extensive digital health metrics, using machine learning approaches to identify microbial predictors of health outcomes. This work is increasingly focused on translating microbiome research into clinical applications for disease prediction and personalized medicine approaches, particularly in the context of the Estonian Biobank initiative. Major Scientific Recognition: 2025 National Science Award in medical and health sciences 2023 and 2022: Recognized among the world's top 1% most cited researchers by Clarivate Analytics 2020: Member of AcademiaNet, a portal for top female researchers 2017: EMBO Installation grant 2013: Marie Curie International Outgoing Fellowship Professor Org has secured substantial research funding as principal investigator for multiple significant projects, including 'DISCERN - Discovering the causes of three poorly understood cancers in Europe' (€245,466, European Commission) and 'Improving colorectal cancer screening and prediction using microbiome-based biomarkers' (€760,450, Estonian Research Council). She has served as an opponent for numerous PhD theses across European institutions, contributing to the development of emerging researchers in her field. As Head of the Estonian Genome Centre, Professor Org leads a multidisciplinary research team that plays a crucial role in Estonia's transition from biobanking to personalized medicine applications. She is actively involved in international collaborations through COST networks including INFOGUT (focused on in vitro colon models) and ML4Microbiome (statistical and machine learning techniques in human microbiome studies), positioning her at the forefront of global microbiome research initiatives.

Christina Leslieمشاهده پروفایل

استاد پژوهشی

• Computational Biology
• Systems Biology
• Machine Learning
• +۷ مورد دیگر

Dr. Christina Leslie is a Research Professor and Member of the Computational & Systems Biology Program at Memorial Sloan Kettering Cancer Center (MSK). She leads an active research laboratory focused on developing computational approaches to understand complex biological systems. Dr. Leslie earned her PhD from the University of California, Berkeley and has established herself as a leading computational biologist in cancer research and immunology. Computational & Systems Biology Program, Memorial Sloan Kettering Cancer Center Gerstner Sloan Kettering Graduate School of Biomedical Sciences Dr. Leslie's research focuses on developing novel computational methods to study cellular biological systems from a global and data-driven perspective. Her lab exploits diverse high-throughput functional and genomic data to understand molecular networks underlying fundamental cellular processes, including transcription regulation, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Her algorithmic methods draw heavily on machine learning to build accurate predictive models from noisy and high-dimensional biological data. Key areas of interest include modeling cell-type specific transcriptional programs and dissecting co- and post-transcriptional regulation, particularly microRNA-mediated gene regulation. Analysis of Dr. Leslie's publication record over the last five years reveals a strong focus on computational approaches to cancer genomics, immunology, and epigenetics. Her work bridges multiple disciplines, with a particular emphasis on developing machine learning methods to interpret complex biological data. The publications demonstrate increasing sophistication in integrating multiple data types (genomic, transcriptomic, epigenomic) to understand cancer biology and immune responses. Recent work shows a growing emphasis on single-cell technologies and spatial analysis of tumor microenvironments. Introduction of string kernel methodology for SVM classification of biological sequences Development of algorithms for predictive modeling of gene regulation First systems-level analyses of competition between microRNAs and between target transcripts Dr. Leslie actively mentors numerous graduate students and research associates, with current lab members including Vianne Gao, Alireza Karbalaghareh, Erik Ladewig, and several others. Her lab has received significant research funding to support their work on computational approaches to cancer biology and immunology. The Leslie Lab maintains close collaborations with multiple experimental groups at MSK, facilitating the translation of computational insights into biological understanding. The Leslie Lab operates within the Computational & Systems Biology Program at MSK, with strong ties to both the research and clinical missions of the institution. The lab maintains state-of-the-art computational infrastructure for analyzing large-scale genomic and proteomic datasets and collaborates extensively with wet-lab researchers to validate computational predictions experimentally.

• Skeletal Muscle Growth
• Ribosome Biogenesis
• Exercise Physiology
• +۴ مورد دیگر

Gustavo Nader, Ph.D., is a Professor of Kinesiology at The Pennsylvania State University's College of Health and Human Development, where he holds the Dorothy Foehr Huck and J. Loyd Huck Endowed Chair in Molecular, Cellular and Integrative Physiology. His research laboratory at 101 Noll Lab focuses on molecular mechanisms of skeletal muscle adaptation, employing human, animal, and cellular models to investigate ribosome biogenesis, transcriptional regulation, and muscle growth control in contexts ranging from exercise hypertrophy to cancer cachexia. Dr. Nader's research examines fundamental processes including: Ribosome biogenesis and its role in muscle growth regulation Epigenetic control of RNA Polymerase I activity Molecular pathways in mechanical overload-induced hypertrophy Tumor-induced muscle wasting mechanisms Biomimicry approaches inspired by hibernator physiology His work spans exercise physiology, cancer biology, and environmental stress responses. Analysis of his 15 most recent publications (2015-2025) reveals predominant themes in muscle hypertrophy mechanisms, cancer cachexia pathophysiology, ribosomal function analysis, and environmental stress impacts on muscle. His work consistently integrates molecular techniques with physiological models across species. Notable scientific recognitions include: Dorothy Foehr Huck and J. Loyd Huck Chair appointment (2024) Huck Institutes Leadership Fellowship (2025-2026) Dr. Nader leads an active research team investigating muscle plasticity, with current projects funded through the Huck Institutes of the Life Sciences. He collaborates extensively through Penn State's Integrative and Biomedical Physiology graduate program and Center for Cellular Dynamics.

• Microfluidics
• Catalyst Particle Research
• Organ-on-Chip Platforms
• +۳ مورد دیگر

Mathieu Odijk is a Full Professor at the University of Twente's Faculty of Science and Technology, leading the Integrated Devices and Systems department. His research focuses on microfluidic systems, catalysis, and organ-on-chip platforms, with contributions to UN Sustainable Development Goals through advanced material characterization and biomedical engineering. He has authored over 120 publications and holds an h-index of 27 with 1,820 citations. Expertise: Microfluidics, catalyst particle diagnostics, SERS substrates, organ-on-chip systems, and spectroscopic techniques. Collaborations include Weckhuysen (catalysis), van den Berg (microfluidics), and Meirer (materials science). Key projects: Modular organ-on-chip platforms (STARTER), droplet-based catalyst screening, and real-time reaction monitoring via ATR-IR systems. His research combines nanotechnology and chemical engineering to develop tools for sustainable energy, environmental remediation, and biomedical applications. Recent work includes microreactors for catalyst particle analysis, light-driven urea oxidation for wearable kidney devices, and standardized platforms for organ-on-chip research.

Peter van Dijkمشاهده پروفایل

استادیار

• Diabetes Research
• Type 1 Diabetes Mellitus
• Type 2 Diabetes Mellitus
• +۳ مورد دیگر

Peter van Dijk, MD PhD, is an academic researcher and Consultant Endocrinologist at Isala Kliniek Zwolle (since May 2024) affiliated with the Faculty of Medical Sciences at University of Groningen. His work focuses on diabetes mellitus with particular expertise in Type 1 and Type 2 diabetes, complications, and monitoring metrics. His research interests span Diabetes Research , Type 1 Diabetes Mellitus , Type 2 Diabetes Mellitus , Endocrinology , Hemoglobin A1c Monitoring , and Diabetes Complications . His work contributes to UN Sustainable Development Goals related to health and wellbeing. Dr. van Dijk's recent publications (2025) demonstrate continued activity in diabetes epidemiology, complications research, and clinical management strategies, with particular focus on kidney transplantation outcomes, lower extremity amputation rates, and glucose monitoring technologies. Endocrine Society Early Investigator Award (2023) UMCG kanker researchfonds (Dec-2022) ZonMw klinische fellow (Nov-2022) Future leaders in clinical diabetology programme (24-Sept-2020) He maintains active professional affiliations including membership in the European Association for the Study of Diabetes, The Endocrine Society, Nederlandse Internisten Vereniging (NIV), North Europe Young Diabetologists (2017-2021), and served as Chair of Jonge Nederlandse Vereniging voor Diabetes Onderzoek (2017-2021).

Lara J. Cushingمشاهده پروفایل

دانشیار

• Environmental Justice
• Health Disparities
• Climate Change and Health
• +۴ مورد دیگر

Lara J. Cushing is an Associate Professor of Environmental Health Sciences at UCLA's Fielding School of Public Health, holding the Jonathan and Karin Fielding Presidential Chair in Health Equity. Her work centers on environmental justice, health disparities, and climate change impacts, with emphasis on racial equity in exposure to environmental hazards. Her educational background includes a PhD in Energy & Resources Group, MPH in Epidemiology, and BS in Molecular Environmental Biology, all from UC Berkeley. Dr. Cushing's research investigates how structural racism manifests in environmental health through historical redlining, oil and gas infrastructure siting, drinking water contamination, and climate vulnerability. She employs mixed-method epidemiological and geospatial approaches to study impacts on pregnant women and infants, focusing on urban greenspace, extreme heat, and sea level rise. Her community-engaged methodology partners with frontline organizations to ensure research directly informs environmental justice advocacy. Analysis of her recent publications reveals three dominant trends: (1) Historical discrimination's enduring impact on current environmental hazards, (2) Health consequences of fossil fuel infrastructure on marginalized communities, and (3) Methodological innovations in measuring cumulative environmental and social stressors. Her work spans climate adaptation, drinking water justice, and air pollution epidemiology with consistent focus on racial health disparities. Her significant honors include: Contributing Author to the IPCC Fourth Assessment Robert & Patricia Switzer Foundation Environmental Fellowship JPB Environmental Health Fellowship at Harvard Chan School Dr. Cushing maintains active community partnerships that shape her research agenda and policy recommendations, particularly through UCLA's Center for Healthy Climate Solutions and Kaiser Permanente Center for Health Equity. Her work bridges academic rigor with community-driven solutions for environmental health equity. She leads interdisciplinary collaborations examining climate-water-health intersections, with current projects focusing on Permian Basin emissions, urban heat vulnerability, and drinking water justice in California frontline communities.

Samuel Dorevitchمشاهده پروفایل

استاد

• Environmental Health
• Public Health
• Water Quality Monitoring
• +۳ مورد دیگر

Samuel Dorevitch is a Professor in the Department of Environmental and Occupational Health Sciences at the University of Illinois at Chicago (UIC). His primary affiliation is with the School of Public Health. His research focuses on water quality monitoring, environmental health, and occupational hazards, with an emphasis on preventing waterborne diseases and assessing health risks associated with environmental exposures. He has contributed to studies on recreational water safety, lead exposure prevention, and the health impacts of climate change. Key research areas include microbial water quality, occupational safety for healthcare and construction workers, and public health interventions in low-resource settings. He has evaluated novel water treatment methods like solar-powered ozonation and explored the use of wastewater-based epidemiology for disease surveillance. His work spans both local (Chicago) and global contexts, including studies in Kenya. Dr. Dorevitch has published widely on topics such as the health effects of waterborne contaminants, occupational injuries, and the relationship between environmental factors and chronic diseases. His research often bridges epidemiology, environmental science, and public policy to inform practical health protection strategies.

YingLi Tianمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

YingLi Tian is a CUNY Distinguished Professor in the Department of Electrical Engineering at The City University of New York. Their work focuses on computer vision, machine learning, and medical imaging. Key areas include sign language recognition, medical image analysis, and AI-driven healthcare solutions. Research Interests: Artificial Intelligence applications in healthcare 3D point cloud and scene understanding Self-supervised learning and domain adaptation Sign language recognition systems Medical imaging segmentation and diagnosis Human-robot interaction and assistive technologies Notable Projects: Developed AI systems for American Sign Language recognition using RGB-D data Pioneered self-supervised feature learning techniques in medical imaging Created virtual contrast enhancement tools for CT scans Advanced sea ice motion prediction using deep learning Labs & Teams: Leads the Media and Information Technology Lab at CCNY, focusing on multimodal AI and healthcare technology innovations.

Jørgen Arendt Jensenمشاهده پروفایل

استاد

• Medical Ultrasound
• Biomedical Signal Processing
• Digital Signal Processing
• +۴ مورد دیگر

Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.

• Climate change adaptation
• Climate change mitigation
• Nature-based Solutions
• +۵ مورد دیگر

Dr. Prabhasri Herath is a Postdoctoral Research Fellow at the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO), affiliated with the Institute for Climate, Energy, and Disaster Solutions (ICEDS). Her research focuses on Nature-based Solutions (NbS), urban heat mitigation, and flood resilience, with expertise in green infrastructure and sustainable city planning. She holds a PhD from the Fenner School of Environment and Society (ANU) and a B.Sc. (Hons) in Green Technology. Her work bridges climate adaptation, urban ecology, and disaster resilience, contributing to global projects on NbS for flood mitigation in large Australian catchments. Education: PhD in Interdisciplinary Environmental Sciences, Fenner School of Environment and Society, ANU B.Sc. (Hons) in Green Technology Research Interests: Climate change adaptation and mitigation strategies Urban heat islands and extreme heatwave mitigation Nature-based flood mitigation in catchments Green infrastructure design for sustainable cities Her recent publications emphasize the role of urban green spaces in mitigating extreme heat and the feasibility of NbS for flood management. She collaborates with experts like Associate Professor Roslyn Prinsley and Dr. Jai Vaze on ANU-CSIRO projects. While no formal awards are listed, her work has been widely cited in environmental science and urban planning domains. Collaborations: Visiting Scientist at CSIRO since July 2023 Partnerships with ANU’s Fenner School and ICEDS Her research lab is embedded within ICEDS, focusing on interdisciplinary climate solutions.

Angelica Lindén Hirschbergمشاهده پروفایل

استاد

• Reproductive Medicine
• Endocrinology
• Polycystic Ovary Syndrome (PCOS)
• +۵ مورد دیگر

Angelica Lindén Hirschberg is a Professor of Obstetrics and Gynecology (specializing in reproductive medicine) at Karolinska Institutet and a Senior Consultant in gynecological endocrinology at Karolinska University Hospital. She holds dual roles in academic leadership and clinical practice, focusing on disorders of reproductive function, endocrine-metabolic dysfunction, and hormonal conditions in women. Her affiliations include the Department of Women’s and Children’s Health, Reproductive Endocrinology and Metabolism Research Group, and the Division for Neonatology, Obstetrics, Gynaecology, and Reproductive Health. Education and Career: MD (Karolinska Institutet, 1984) PhD (Karolinska Institutet, 1989) Professor in Obstetrics and Gynecology (2007) Board member of international societies (ISGE, EMAS) Research Focus: Her translational research spans PCOS, obesity-related reproductive dysfunction, premature ovarian insufficiency, and disorders of sex development. Projects include hormonal impacts on athletic performance, immune therapy for ovarian dysfunction, and endometrial cell biology. Collaborations involve national/international networks and clinical trials (e.g., PROBES trial). Publications: Recent work emphasizes PCOS pathophysiology, menopausal health, and hormonal interventions in athletes. Key trends include single-cell profiling of endometrium, immunomodulatory therapies for POI, and non-hormonal treatments for vasomotor symptoms. Awards: King’s Seraphim Medal (2018) 2016 Grand Prize in Sport Science Appointed Royal Gynecologist (2009) Teaching and Mentorship: Coordinates courses on reproductive endocrinology, supervises PhD students (e.g., Esin Ylmaz), and chairs the PhD Study Director at her department. Authored over 25 book chapters on women’s health and sports medicine. Grants and Labs: Secured Swedish Research Council funding for POI trials. Her lab integrates experimental (Bioclinicum) and clinical (Women’s Health Research Unit) research.

Pingfu Fuمشاهده پروفایل

استاد

• Survival analysis
• Clinical trials
• Cancer research
• +۴ مورد دیگر

Pingfu Fu, PhD, is a Professor in the Department of Population and Quantitative Health Sciences at Case Western Reserve University's School of Medicine. He is also a member of the Developmental Therapeutics Program at the Case Comprehensive Cancer Center. His expertise spans biostatistics, mathematics, and computer science, with a focus on cancer research and HIV/AIDS. Dr. Fu advises researchers on study design and statistical methodology for clinical and pre-clinical studies. He teaches courses in survival data analysis and clinical trials, and was recognized as 'Professor of the Year' in 2010 by the Department of Epidemiology and Biostatistics. Education: PhD in Biostatistics (Case Western Reserve University, 2001), MS in Statistics (Case Western Reserve University, 1996), MS in Mathematics (Xiangtan University, 1988), and BS in Mathematics (Jiangxi Normal University, 1984). His research interests include survival analysis, tree-based methods, clinical trials, and statistical applications in medical research. He has co-authored numerous peer-reviewed articles, focusing on cancer disparities, radiomics, and computational pathology. Professional memberships include the American Statistical Association, American Mathematical Society, and American Cancer Society. Dr. Fu holds editorial roles at Reviews on Recent Clinical Trials , Journal of Clinical Oncology , and Journal of the National Cancer Center . His work has addressed mathematical challenges in stochastic processes and resolved statistical issues in study design and tree-based models. Notable contributions include developing risk prediction models for cancer outcomes and advancing interdisciplinary collaborations across oncology, biostatistics, and computer science. His lab focuses on integrating computational methods with clinical data to improve patient outcomes.