جست‌وجوی استاد و پژوهشگر

• HIV Prevention and Treatment
• Substance Use Disorder
• Addiction Medicine
• +۵ مورد دیگر

E. Jennifer Edelman, MD, MHS is a Professor of Medicine (General Internal Medicine) at Yale School of Medicine and an Associate Professor on Term in Social and Behavioral Sciences at Yale School of Public Health. She serves as an HIV provider at the Yale-New Haven Hospital Nathan Smith HIV Clinic and is the physician consultant in the Addiction Medicine Treatment Program. Dr. Edelman is certified as an internist, HIV specialist, and in Addiction Medicine, and holds multiple appointments across Yale's medical and public health institutions. Professor of Medicine, General Internal Medicine (Primary) Associate Professor on Term, Social and Behavioral Sciences (Secondary) Addiction Medicine Fellowship Program AIDS Care Program Internal Medicine Program in Addiction Medicine Yale Center for Clinical Investigation (co-Director of Education) Yale-Drug use, Addiction, and HIV prevention Research Scholars (DAHRS) Dr. Edelman's research focuses on optimizing HIV prevention and treatment in the context of substance use, including opioid, alcohol, and tobacco use. Applying a range of methodologies, she leads and collaborates on NIH-funded projects to evaluate novel and implement evidence-based addiction treatment in medical settings, especially HIV treatment settings. Her work has focused on understanding harms associated with opioid use among people with HIV and promoting HIV prevention, including use of pre-exposure prophylaxis (PrEP). She collaborates extensively with community-based and public health partners to advance these goals. Analysis of her recent publications (2024-2025) reveals a strong emphasis on integrated care models addressing substance use disorders within HIV treatment settings. Her research spans multiple methodologies including randomized controlled trials, implementation science, qualitative studies, and epidemiological analyses. Key themes include contingency management for alcohol use disorder among people with HIV, PrEP implementation among high-risk populations, and interventions for tobacco cessation in HIV clinics. Her work demonstrates a consistent focus on addressing health disparities and improving outcomes for vulnerable populations. Dr. Robert A. Savitt & Dr. George D. McCormack Award (2022) Lipkin Award Finalist, Society of General Internal Medicine National Annual Meeting (2021) Lipkin Award Finalist, Society of General Internal Medicine National Annual Meeting (2019) Veterans Affairs Locally-Initiated Project Funding Award New England Society of General Internal Medicine Award for Excellence in Clinical Investigation Society of General Internal Medicine Lawrence Linn Award Dr. Edelman actively mentors trainees including post-doctoral fellows and public health students, and serves as Associate Director of the Research on Addiction Medicine Scholars (RAMS) Program. She regularly serves on NIH grant review committees and is Associate Editor of Addiction Science and Clinical Practice. Her current research includes the EXHIT ENTRE trial (Exemplar Hospital Initiation Trial to Enhance Treatment Engagement), which focuses on addressing untreated alcohol use disorder in hospital settings. She has received substantial grant funding from the National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, and National Cancer Institute to support her work in addiction medicine and HIV care.

Haoming Qiuمشاهده پروفایل

دانشیار

• Radiation Oncology
• Gastrointestinal Cancers
• Lung Cancer
• +۵ مورد دیگر

Haoming Qiu, M.D. serves as an Associate Professor in the Department of Radiation Oncology at the University of Rochester School of Medicine and Dentistry. He practices clinically at both Wilmot Cancer Center in Rochester and Sands Cancer Center in Canandaigua, providing radiation oncology services for gastrointestinal, lung, and prostate cancers. Board-certified by the American Board of Radiology, Dr. Qiu specializes in advanced radiotherapy techniques including external beam radiation and radiopharmaceutical therapies. Education: MD, Johns Hopkins University (2011) Residency in Radiation Oncology, University of Rochester Medical Center (2013-2016) Residency in Radiation Oncology, Loyola University Medical Center (2012-2013) Internship in Internal Medicine, Sinai Hospital of Baltimore (2011-2012) Research Focus: Dr. Qiu's work centers on optimizing radiation therapy for gastrointestinal malignancies, prostate cancer, and neuroendocrine tumors. His investigations into theranostics explore novel applications of Lutathera for neuroendocrine tumors, Pluvicto for prostate cancer, and Therasphere for liver cancers. Current research emphasizes combining stereotactic body radiotherapy with immunotherapeutic agents to overcome treatment resistance in pancreatic and rectal cancers. Publication Trends: Recent publications (2023-2025) reveal a strategic shift toward adaptive radiotherapy techniques for pelvic malignancies and immunoradiotherapy combinations. His work demonstrates growing emphasis on modulating tumor immune microenvironments through radiation, particularly in pancreatic and rectal cancers. The integration of mRNA nanotechnology with SBRT represents a cutting-edge frontier in his research portfolio. Scientific Recognition: Roentgen Resident/Fellow Research Award (2015) Excellence in Medical Student Research (2011) Clinical Leadership: Dr. Qiu directs multiple clinical trials at the University of Rochester focusing on radiopharmaceutical applications and adaptive radiotherapy protocols. His patient-centered approach is reflected in consistently high patient satisfaction scores (4.9/5 stars) across communication, empathy, and treatment explanation metrics. Care Coordination: As part of the Wilmot Cancer Center and Sands Cancer Center teams, Dr. Qiu collaborates with multidisciplinary groups including medical oncologists, surgeons, and radiologists to deliver integrated cancer care through Accountable Health Partners network.

• Radiation Biophysics
• Cancer Radiotherapy
• Ionizing Radiation Effects
• +۴ مورد دیگر

David J. Brenner serves as Higgins Professor of Radiation Biophysics in Radiation Oncology and Environmental Health Sciences at Columbia University Medical Center. He directs both the century-old Center for Radiological Research and the Radiological Research Accelerator Facility (RARAF), leading interdisciplinary teams focused on radiation applications in medicine and safety. BA in Physics from Oxford University (1974) MSc in Radiation Physics from University of London (1976) MA in Physics Philosophy from Oxford University (1979) PhD in Physics from University of Surrey (1980) His research spans dual aspects of radiation: therapeutic applications in cancer treatment and risk assessment across diverse scenarios. Key initiatives include advancing carbon-ion therapy for pancreatic cancer, developing safe far-UVC light for pathogen elimination, and investigating low-dose radiation risks from medical imaging to nuclear terrorism. His team leverages RARAF's unique capabilities for mechanistic studies of radiation effects. Publications reveal dominant themes in radiation biophysics, with significant contributions to biodosimetry (RABiT platform), UV disinfection technology, and cancer risk modeling. Recent work emphasizes translational applications including medical countermeasures for radiation exposure and precision radiation oncology techniques. National Academy of Sciences Nuclear and Radiation Studies Board member National Council on Radiation Protection and Measurements member Radiation Research Society Failla Gold Medal recipient (2011) Oxford University Weldon Prize for mathematical biology (2015) Robert D. Moseley Award for Radiation Protection in Medicine Brenner leads multiple NIH-funded projects including biodosimetry development and UV disinfection research. His mentorship extends through directing Columbia's Radiological Research Accelerator Facility and training programs in radiological sciences. Current lab efforts focus on carbon-ion therapy mechanisms and 222-nm UV applications against drug-resistant pathogens, with active collaborations across oncology, microbiology, and physics disciplines.

Stephanie B. Wheelerمشاهده پروفایل

استاد

• Cancer
• Health disparities/health equity
• Social epidemiology
• +۵ مورد دیگر

Dr. Stephanie B. Wheeler is the Michael S. O’Malley Distinguished Professor in the Department of Health Policy and Management at the UNC Gillings School of Global Public Health. She serves as Associate Director of Community Outreach and Engagement at the UNC Lineberger Comprehensive Cancer Center and a Research Fellow at the UNC Center for Health Promotion and Disease Prevention. Her research focuses on cancer care delivery, health disparities, and systems science, with expertise in economic evaluation, simulation modeling, and large dataset analysis. Education: BA (Honors) in Theatre, College of Charleston, 2003 BS (Honors) in Biology, College of Charleston, 2003 MPH in Public Health and Family Medicine, University of Cape Town, 2007 PhD in Health Policy and Management, UNC-CH, 2010 Research Interests: Dr. Wheeler’s work addresses healthcare access, quality, value, and equity, particularly in cancer care. She uses methods like comparative effectiveness research, systems modeling, and 'big data' analytics to study cancer screening implementation, financial toxicity, and health policy interventions. Her projects are funded by NCI, the American Cancer Society, and CDC. Key Leadership Roles: Director of the Office of Community Outreach and Engagement, UNC Lineberger PI of the CDC-funded Cancer Prevention and Control Research Network Coordinating Center Co-Director of the NCI-funded T32 Cancer Care Quality Training Program Associate Editor, Journal of Clinical Oncology Awards: 2017 Hettleman Prize for Scholarly and Artistic Achievement 2017 ASPPH Early Career Award Grants & Projects: Leads/co-leads studies on colorectal cancer screening, financial navigation interventions, HPV vaccine communication, and cancer care quality surveillance. Her work emphasizes reducing disparities in rural and urban settings through evidence-based strategies. Labs & Teams: Active in the Gillings Innovation Labs and part of the Lineberger Equity Council, focusing on community-engaged research and policy translation.

• Software Engineering
• Reverse Engineering
• Program Understanding
• +۷ مورد دیگر

Ken Wong is an Associate Professor in the Department of Computing Science at the University of Alberta's Faculty of Science. He also serves as Associate Chair within the same department. Holding a PhD in Computer Science from the University of Victoria (1999), his research focuses on software engineering challenges such as reverse engineering, program understanding, and software visualization. He emphasizes improving software evolution through tools like architecture recovery and root cause analysis, with applications in web/mobile platforms and diverse system understanding. Teaching highlights include developing Massive Open Online Courses (MOOCs) via Coursera, including the 'Software Product Management Specialization' and courses on Agile practices, client needs analysis, and software metrics. His recent publications (2023–2025) span AI-driven healthcare innovations (e.g., medical imaging, photoacoustic tomography) and advanced computer vision techniques (e.g., diffusion models, video inpainting). Notable collaborations include EVAREST studies on heart failure management and lung transplantation outcomes. His work bridges software engineering theory and practical applications in healthcare technology, with contributions to federated learning frameworks (e.g., FedLPPA) and AI-augmented clinical decision support systems. Research also extends to autonomous driving (DriveGPT4-V2) and 3D human avatar generation (DreamAvatar), showcasing interdisciplinary impact.

James Turnerمشاهده پروفایل

دانشیار

• Exercise Immunology
• Cancer Immunology
• Ageing and Immunosenescence
• +۳ مورد دیگر

James Turner is an Associate Professor in Exercise Physiology and Immunology at the University of Birmingham's School of Sport, Exercise and Rehabilitation Sciences. Previously, he held roles at the University of Bath as a Lecturer (Assistant Professor) from 2013 to 2018 and promoted to Senior Lecturer (Associate Professor) in 2018 before moving to Birmingham in 2022. His research focuses on lifestyle impacts on ageing and chronic disease, particularly adipose tissue immunology and cancer immunology (e.g., breast cancer). He leads projects examining obesity, immune system ageing, and factors influencing cancer treatment outcomes. His work aligns with UN Sustainable Development Goals related to health and well-being. Education: BSc (Hons) Sport and Exercise Science (University of Bath, 2006); PhD in Exercise Biochemistry and Immunology (University of Birmingham, 2011). Post-doctoral training in cancer immunology followed. He has mentored 9 PhD/MSc students as lead or co-supervisor and contributed to grants from bodies like Cancer Research UK and the Biotechnology and Biological Sciences Research Council. Current research includes projects on adipose tissue inflammation and muscle mass regulation in older adults. Labs/Teams: Active in collaborative projects with institutions globally, focusing on exercise immunology and cancer treatment efficacy. Editor for journals like Frontiers in Physiology and International Journal of Sport Nutrition and Exercise Metabolism .

Alberto Saianiمشاهده پروفایل

استاد

• Biomaterials Science
• Polymer Science
• Tissue Engineering
• +۳ مورد دیگر

Professor Alberto Saiani is a distinguished academic in molecular materials and biomaterials science at the University of Manchester's Division of Pharmacy & Optometry. He holds a PhD in Polymer Physics from the University of Strasbourg and has held postdoctoral positions in Japan, the UK, and Belgium. Previously a lecturer at Blaise Pascal University (2000–2002), he joined Manchester's Department of Materials in 2002, co-founding the Polymers & Peptides Research Group. In 2022, he transitioned to Pharmacy & Optometry to advance translational biomaterial research for clinical applications. Education: MSc in Soft Condensed Matter Physics, University Louis Pasteur, Strasbourg, France PhD in Polymer Physics, University of Strasbourg Research Focus: His work centers on self-assembling peptides and hydrogels for biomedical applications, including drug delivery, tissue engineering, and regenerative medicine. Key innovations include the PeptiGels® technology commercialized via Manchester BIOGEL (2014–2023), now under Cell Guidance Systems. His research bridges fundamental polymer science with clinical translation, addressing challenges in biomaterial design and biocompatibility. Awards & Fellowships: JSPS Postdoctoral Fellowship (Japan) RAEng Industrial Fellowship (2006) EPSRC 5-Year Research Fellowship (2013) Fellow of the Royal Society of Chemistry (2016) Grants & Projects: Co-Investigator on three BHF PhD Studentships (2017–2023), focusing on cardiovascular and regenerative medicine. His work is supported by interdisciplinary collaborations within the Manchester Institute of Biotechnology and the Advanced Materials in Medicine platform. Labs & Groups: Leads the Polymers & Peptides Research Group, pioneering peptide-based biomaterials for 3D cell culture, bioprinting, and combination therapies. Active in the Manchester Regenerative Medicine Network and Christabel Pankhurst Institute.

Zohreh Shamsمشاهده پروفایل

پژوهشگر

• ML Interpretability
• Explainable AI
• Knowledge Discovery
• +۵ مورد دیگر

Zohreh Shams is a Visiting Fellow at the Computer Laboratory, University of Cambridge, and Chief Scientific Officer at Leap Labs. Previously, she served as a Senior Research Associate at the University of Cambridge and held roles at Babylon Health as a Senior ML Scientist. Her research focuses on ML interpretability, explainable AI, knowledge discovery, and automated reasoning with applications in healthcare and safety-critical systems. Dr. Shams completed her PhD in Artificial Intelligence at the University of Bath, specializing in explanatory decision-making in multi-agent systems using Argumentation Theory. Her work bridges cognitive science and AI, collaborating with institutions like the University of Brighton on projects such as Accessible Reasoning with Diagrams , which explores explainable ontology reasoning systems. Her research interests include generative modeling, concept-based representations, and the integration of domain knowledge into AI systems. Notable contributions include developing frameworks like CGXplain for neural network explanations and REM for healthcare data analysis. Her publications span venues such as ECCV, AAAI, and TMLR. Shams has contributed to interdisciplinary projects, including the Integrated Cancer Medicine initiative, and maintains affiliations with Wolfson College as a former Junior Research Fellow. Her work emphasizes ethical AI practices, clinician collaboration, and the societal impact of explainable AI systems.

Misa Faezipourمشاهده پروفایل

دانشیار

• System Dynamics Modeling
• Healthcare Systems Engineering
• Complex Systems Modeling
• +۳ مورد دیگر

Dr. Misa Faezipour is an Associate Professor in the Department of Engineering Technology at Middle Tennessee State University (MTSU) and director of the Systems Engineering Lab (SEL). She holds a Ph.D. and M.Sc. in Industrial Engineering and Engineering Management from the University of Texas at Arlington and a B.Sc. in Software Engineering from Islamic Azad University North Tehran Branch. Her research focuses on system dynamics modeling, healthcare systems engineering, complex systems, and sustainability optimization. Dr. Faezipour has advised numerous graduate students in M.S. and Ph.D. programs, focusing on topics such as healthcare disparities, AI robustness, and policy impact analysis. She teaches courses including Engineering Economy, Operations Management, and Engineering Management Systems. Her work spans collaborations with institutions like NASA, the Systems Engineering Research Center, and healthcare organizations. Her recent publications emphasize AI-driven healthcare solutions, system dynamics applications in policy analysis, and optimizing healthcare delivery through data-driven models. She actively contributes to professional organizations such as INCOSE, IEEE, and the System Dynamics Society. Dr. Faezipour’s lab, SEL, develops innovative tools for healthcare informatics, including diagnostic recommenders and policy simulation frameworks. Her research bridges systems engineering with healthcare challenges, addressing issues like racial health inequities and pandemic response strategies.

Nan Marie Jokerstمشاهده پروفایل

استاد

• Photonics
• Optoelectronic Devices
• Integrated Optoelectronics
• +۷ مورد دیگر

Nan Marie Jokerst is the J. A. Jones Distinguished Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering and Executive Director of the Duke Shared Materials Instrumentation Facility. She previously served as Chair of the Duke Academic Council (2014-2015) and Associate Dean for six years. B.S. in Physics, Creighton University (1982) M.S.E.E., University of Southern California (1984) Ph.D. in Electrical Engineering, University of Southern California (1989) Her research spans chip-scale photonic sensing systems , III-V thin-film lasers on silicon , metamaterials , and heterogeneous integration . She develops optical systems for medical diagnostics, environmental monitoring, and security applications through the Jokerst Laboratory, which combines optical system design, optoelectronic device development, and semiconductor fabrication expertise. Her recent publications show strong focus on terahertz strain mapping using metamaterials, multi-pixel tissue characterization for cancer margin detection, and microfluidic sensing platforms with embedded photodetectors. Key trends include advancing non-destructive structural monitoring and miniaturized biomedical diagnostics through novel photonic integration techniques. IEEE Fellow (2003) Optica Fellow (2001) NSF Presidential Young Investigator Award IEEE Third Millennium Medal IEEE/HP Harriet B. Rigas Medal USC Viterbi School Alumni Award She has advised numerous graduate students in photonic device research and secured major grants including the NSF National Nanotechnology Coordinated Infrastructure ($6M, 2015-2021) and NNCI: North Carolina Research Triangle Nanotechnology Network ($20M, 2020-2026). Her leadership extends to co-founding Triangle Women in STEM and serving on the National Academies Board on Global Science and Technology. The Duke Shared Materials Instrumentation Facility under her direction provides critical cleanroom and characterization resources for interdisciplinary research.

Andrew Godleyمشاهده پروفایل

دانشیار

• Radiation Oncology
• Medical Physics
• Radiation Therapy Techniques
• +۳ مورد دیگر

Andrew Godley, Ph.D., is the Associate Vice Chair of Clinical Physics Operations and Quality and an Associate Professor of Radiation Oncology at UT Southwestern Medical Center. He is part of the Department of Radiation Oncology’s Division of Medical Physics and Engineering. Dr. Godley holds a Texas Medical Physics License and is board-certified in therapeutic radiologic physics by the American Board of Radiology. Education: Received his Ph.D. in high-energy physics from the University of Sydney as part of the NOMAD experiment at CERN. Completed a postdoctoral fellowship at the University of South Carolina with the MINOS experiment at FermiLab. Transitioned to medical physics at the Medical College of Wisconsin. Research Interests: Focus on advanced radiation therapy techniques including brachytherapy, SBRT, Gamma Knife, MR-linac integration, and adaptive radiotherapy. His work emphasizes improving treatment accuracy, patient-specific quality assurance, and innovative approaches to personalized oncology care. Publications: Over 118 peer-reviewed articles, with recent work emphasizing adaptive radiotherapy strategies, MR-guided therapies, and computational tools for dose verification. Professional Contributions: Active in developing clinical protocols for radiation physics operations, including machine QA/commissioning and program development for new technologies like MR-linac systems.

Cristina Antonescuمشاهده پروفایل

پژوهشگر

• Molecular Pathology
• Cancer Genetics
• Genomic Research
• +۳ مورد دیگر

Cristina R. Antonescu, MD is the Director of Soft Tissue and Bone Pathology at Memorial Sloan Kettering Cancer Center , affiliated with the Gerstner Sloan Kettering Graduate School of Biomedical Sciences. Her research focuses on the genomic investigation of pediatric and young adult mesenchymal tumors , particularly Novel gene fusion discovery Translocation-associated sarcoma pathogenesis CRISPR-Cas9 engineered models Molecular characterization of kinase fusions Her publications from 2018-2020 highlight breakthroughs in undifferentiated sarcomas , epithelioid hemangioendothelioma , and lipofibromatosis-like neural tumors , revealing key relationships between genetic drivers and clinical outcomes. Research grants include SPORE in Soft Tissue Sarcoma (2018-2023) and Cycle for Survival funding (2018-2021). Contact: antonesc@mskcc.org | Office: 212-639-5721

Naim U. Rashidمشاهده پروفایل

دانشیار

• Precision medicine
• Genomics
• Statistical computing
• +۷ مورد دیگر

Naim U. Rashid, PhD, is an Associate Professor with tenure in the Department of Biostatistics at the UNC Gillings School of Global Public Health and holds a joint appointment as Research Associate Professor at the Lineberger Comprehensive Cancer Center. He serves as Associate Director of the Lineberger Biostatistics Shared Resource and co-directs the Biostatistics Cores of the UNC Pancreatic and Breast Cancer SPOREs. His work bridges statistical methodology development with collaborative cancer research, focusing on translating genomic discoveries into clinical applications. Dr. Rashid's research spans precision medicine, genomics, statistical computing, and machine learning with specific applications to pancreatic and breast cancers. His lab develops novel statistical methods for high-throughput genomic data analysis, cancer subtyping, missing data problems in deep learning, and clinical trial design. Recent work includes developing an AI tool that recommends optimal clinical trials to pancreatic cancer patients, funded by a $311,000 Department of Defense grant in 2024. His methodological contributions focus on improving replicability in gene signature selection and clinical prediction, with emphasis on addressing racial disparities in cancer outcomes. His publication record shows consistent output in top statistical and medical journals, with recent work focusing on high-dimensional statistics, missing data methods, and cancer genomics. His research demonstrates a clear trajectory from methodological innovation to clinical implementation, particularly in pancreatic cancer where his PurIST classifier has gained recognition. The work increasingly incorporates machine learning approaches while maintaining strong statistical foundations. Delta Omega Faculty Award (2021, UNC Chapel Hill) IBM and R.J. Reynolds Junior Faculty Development Award (2017, UNC Chapel Hill) Barry H. Margolin Dissertation Award (2013, UNC Chapel Hill) Training Grant recipient (2006-2011, Genomics and Cancer) Dr. Rashid actively mentors graduate students and serves as trial statistician on multiple cancer clinical trials. He teaches BIOS 735, a doctoral-level course on statistical computing, and is involved with the Translational Breast Cancer Research Consortium Statistical Working Group. His lab collaborates extensively with clinicians at UNC Lineberger and beyond, with recent work including the PROCLAIM Study examining mHealth apps to improve diverse recruitment in pancreatic cancer trials. The Rashid Lab focuses on developing computational tools that directly impact clinical decision-making while addressing methodological challenges in genomic data analysis.

• Mechanobiology
• Cellular Biophysics
• Cancer Biology
• +۳ مورد دیگر

Xavier Trepat is an ICREA Research Professor and Group Leader at the Institute for Bioengineering of Catalonia (IBEC), affiliated with the University of Barcelona. His academic journey includes a BSc in Physics (2000), a BSc in Engineering (2001), and a PhD in Medical Sciences (2004) from the University of Barcelona. He conducted postdoctoral research at Harvard University and later held positions at the University of Barcelona and IBEC, becoming an ICREA Research Professor in 2011. His research focuses on mechanobiology, integrating physics and biology to study cellular and tissue dynamics. Key areas include cytoskeletal mechanics, collective cell migration, cancer metastasis, and organoid engineering. He has pioneered techniques like traction force microscopy and microfluidic platforms (e.g., MIRO chip) to model tumor-stroma interactions. Recent work highlights include uncovering mechanical signaling pathways (YAP/TAZ-TEAD), the role of nuclear mechanics in cancer, and the development of 3D tissue models. His studies on durotaxis and collective cell migration have advanced understanding of how cells sense and respond to mechanical cues. Collaborations span institutions like Harvard, MIT, and leading research centers globally.

Valentina Boevaمشاهده پروفایل

استادیار

• Machine Learning
• Bioinformatics
• Genomics
• +۳ مورد دیگر

Prof. Valentina Boeva is an Assistant Professor at the Department of Computer Science, ETH Zürich, specializing in biomedical informatics. Her research focuses on integrating machine learning and computational methods to address challenges in genomics, oncology, and precision medicine. She holds a position in the Professur für Biomedizininformatik (Biomedical Informatics) and is based at CAB G32.2, Universitätstrasse 6, Zürich, Switzerland. Her work emphasizes applications such as cancer biomarker discovery, tumor heterogeneity analysis, and epigenetic profiling. She teaches courses including Machine Learning Seminar, Data Science Lab, and Machine Learning for Genomics. Her research group develops computational tools like CDState and UniversalEPI to decode complex biological systems. She actively publishes in top-tier journals, with recent work on exosome-driven diagnostics and chromatin interaction modeling. Her scientific contributions span methodologies for single-cell data analysis, survival modeling, and drug response prediction. She collaborates across disciplines to bridge computational science with clinical applications in cancer research.