جستجوی استاد راهنمای دانشگاهی

Eileen Crimminsمشاهده پروفایل

استاد

• Demography of Aging
• Health and Mortality
• Socioeconomic Health Disparities
• +۳ مورد دیگر

Eileen Crimmins, PhD, is a University Professor and AARP Chair in Gerontology at the USC Leonard Davis School of Gerontology. She holds dual appointments in the USC Schaeffer Center and the Department of Preventive Medicine. A member of the National Academy of Sciences, National Academy of Medicine, and American Academy of Arts and Sciences, her research focuses on biological and demographic aspects of aging, health disparities, and population health trends. She co-directs the USC/UCLA Center on Biodemography and Population Health and the NIA-sponsored Network on Biological Risk. Education: PhD and MA in Demography (University of Pennsylvania), BS in Mathematics (Chestnut Hill College) Affiliations: Co-director of the Multidisciplinary Training in Gerontology Program Her research integrates biological indicators into population studies, addressing global aging challenges such as health expectancy, mortality trends, and socioeconomic health disparities. Key contributions include advancing epigenetic aging clocks and their clinical applications, as well as analyzing dietary impacts on longevity. Recent work explores systemic aging heterogeneity via blood methylation tests, environmental influences on biological aging, and diet-based interventions. Over 248 publications span journals like PLoS Medicine, JAMA Network Open, and Nature Aging. Awarded the Kleemeier Award (2014) and Irene B. Taeuber Award (2023), she has co-edited seminal texts including Human Longevity and Explaining Diverging Longevity . Active in policy advocacy, her work informs global health strategies on aging populations.

Andreia Marina Ionescuمشاهده پروفایل

دانشیار

• Developmental Biology
• Skeletal Stem Cell Research
• Osteoarthritis
• +۳ مورد دیگر

Dr. Andreia Marina Ionescu serves as Associate Professor of Biology and Principal Investigator at Northeastern University since July 2020, leading research in skeletal development and regenerative medicine. Education: PhD, University of Rochester (NY) Postdoctoral Fellowship, Harvard Medical School Research Interests: Her lab pioneers investigations into growth plate stem cell hierarchies, FoxA2+ long-term skeletal stem cells (LTSSCs), and osteoarthritis mechanisms. Key focuses include: Transcriptional regulation of chondrocyte differentiation Cartilage regeneration via stem cell populations Nanoparticle-based gene delivery for OA treatment PTHrP signaling in skeletal growth Publication Trends: Recent work (2022-2024) demonstrates integration of single-cell transcriptomics with functional studies to map skeletal stem cell lineages, revealing FoxA2+ LTSSCs as critical regeneration mediators. Parallel efforts develop charge-reversed exosomes for targeted cartilage therapy, bridging developmental biology and translational orthopedics. Scientific Awards: NSF CAREER Award (2024) Advising and Grants: Mentors four graduate students, twelve undergraduate researchers, and two senior scientists. Lab operations are supported by NSF CAREER funding and institutional resources for skeletal biology research. Lab and Team: The Ionescu lab integrates wet-lab biologists (Dr. Muruganandan Shanmugam, Dr. Yu Zhou) with computational expertise (bioinformatician Dr. Yu Zhou) to address skeletal regeneration challenges through molecular, cellular, and tissue-level approaches.

Joshua Modellمشاهده پروفایل

دانشیار

• CRISPR-Cas Systems
• Bacterial Immunity
• Bacteriophage Biology
• +۷ مورد دیگر

Joshua Modell is an Associate Professor in the Department of Molecular Biology and Genetics at the Johns Hopkins University School of Medicine. His research focuses on the fundamental biology of CRISPR-Cas systems and their roles in bacterial immunity against bacteriophages. Dr. Modell's research interests lie at the intersection of molecular biology, microbial genetics, and immunology. He investigates how CRISPR systems function during live infections, how they avoid autoimmunity, and how phage biology influences susceptibility to CRISPR attacks. His lab employs an interdisciplinary approach combining molecular biology, next-generation sequencing, functional genomics, biochemistry, bioinformatics, and time-lapse microscopy. The recent publications from the Modell lab reveal a strong focus on CRISPR regulation, anti-CRISPR mechanisms, phage defense strategies, and the evolutionary dynamics of CRISPR systems. The work spans from basic mechanistic insights into Cas9 function and spacer acquisition to understanding how viral recombination and anti-CRISPR proteins influence host-pathogen interactions. These studies are published in top-tier journals such as Nature , Cell , and Cell Reports , reflecting the impact and innovation of the research. Scientific Awards: No scientific awards mentioned in the provided text. Dr. Modell actively mentors graduate and undergraduate students, indicating a strong commitment to training the next generation of scientists. His lab includes multiple graduate students such as Katie King, Joshua Garcia-Colon, Marissa Feeley, Rhett Snyder, and Sarah Voss. While specific grant funding is not listed, the scope and productivity of the research suggest substantial extramural support. The lab operates at the forefront of CRISPR biology, aiming to uncover fundamental principles that can inform the development of next-generation genome-editing technologies. The Modell Lab is an active research group within the Department of Molecular Biology and Genetics at Johns Hopkins University School of Medicine. It uses cutting-edge techniques to study CRISPR immunity in its native biological context, focusing on type II CRISPR systems like Cas9. The lab integrates genetic, genomic, and cellular analyses to explore how CRISPR systems co-evolve with their bacterial hosts and viral predators.

Bradley E. Aouizeratمشاهده پروفایل

استاد

• Oral-Systemic Health
• Genomics
• Epigenetics
• +۱۲ مورد دیگر

Bradley E. Aouizerat is a Professor at the College of Dentistry, New York University (NYU) , with a strong focus on oral-systemic health, genomics, and translational research. His work bridges dentistry, immunology, and chronic disease, particularly in populations affected by HIV, cancer, and health disparities. Education: BS in Microbiology/Molecular Genetics – University of California at Los Angeles PhD in Microbiology/Molecular Genetics/Immunology – University of California at Los Angeles MAS in Master of Advanced Science Research in Clinical – University of California at San Francisco His research interests span epigenetics, gene expression, pain mechanisms, microbiome, sleep, and inflammation , with a strong emphasis on biomarker discovery and minority health. He has led studies on DNA methylation in oral cancer, cytokine profiles in HIV, and the role of mitochondrial genetics in diabetes. His work often integrates machine learning and longitudinal cohort data from major studies like the Women’s Interagency HIV Study (WIHS) and Multicenter AIDS Cohort Study (MACS). His recent publications (2021–2025) reflect a broad and impactful research program, with studies in oral cancer, HIV persistence, depression in chronic disease, lymphedema, sleep disruption, and gut microbiota . These works highlight his interdisciplinary approach, combining molecular biology with clinical epidemiology and behavioral science. Key themes include epigenetic regulation of pain and opioid tolerance, neurodegenerative-like changes in cancer, and social determinants of inflammation . Scientific Awards and Recognition: Excellence in Research Mentoring Faculty Teaching Award (2013) Most Dedicated Mentor Award, PMCTR Fellowship Program (2009) Early Career Investigator Award, Bayer Healthcare International (2006) National Liver Scholar Award, American Liver Foundation (2004) Multiple early career and mentoring recognitions (2004–2006) He is an active mentor and collaborator , frequently co-authoring with junior researchers and leading interdisciplinary teams. His work has been supported by NIH-funded initiatives, including the Roadmap K12 program. He is a member of professional societies such as the American Heart Association, American Liver Foundation, and American Society for Human Genetics . He is involved in clinical and translational research teams focused on improving outcomes in cancer, HIV, and chronic pain. His lab and collaborators utilize advanced genomic and bioinformatic tools to uncover mechanisms linking biological systems with patient-reported outcomes. Future work is likely to expand on precision biomarkers, minority stress interventions, and real-time symptom detection using machine learning .

Fabio Lucianiمشاهده پروفایل

استاد

• genomics
• immunology
• computational biology
• +۶ مورد دیگر

Fabio Luciani is a Professor in Systems Immunology and Machine Learning at the School of Medical Sciences at UNSW Sydney, with visiting fellow positions at the Garvan Institute for Medical Research and Weill Cornell College of Medicine NY, USA. His interdisciplinary research program integrates immunology, genomics, and computational approaches to develop novel immunotherapies for cancer and autoimmune diseases. With a background spanning physics, theoretical biology, and biophysics, Luciani leads an interdisciplinary team with expertise in immunology, mathematical modeling, statistics, and bioinformatics. His research focuses on T cell responses using single-cell genomic technologies to understand immune responses in viral infections, autoimmunity, and CAR T cell therapies. He has developed landmark bioinformatic methods for combining single-cell transcriptome data with antigen receptor sequences and computational models for haplotype reconstruction. Luciani's work demonstrates a strong emphasis on translating molecular and genomic discoveries into clinical interventions, particularly in predicting side effects and identifying solutions for unmet clinical needs in immunotherapy. His research spans multiple collaborative projects including single-cell multi-omics analysis in coeliac disease with Prof Chris Goodnow's team at the Garvan Institute, and CAR T cell therapy response studies with clinicians at Westmead Hospital and Weill Cornell. His scientific contributions include over 140 peer-reviewed publications and successful acquisition of more than $20 million in research funding from organizations including ARC, NHMRC, JDRF, NIH, and private industry partners. He serves as Principal Investigator of the UNSW Future Institute of Cellular Genomics, which has secured $4.5 million over seven years for single-cell technologies in cellular genomics. As an academic supervisor, Luciani currently mentors 3 PhD students, 2 honours students, and 2 postdoctoral researchers, welcoming applications from students interested in bioinformatics, statistics, data science, immunology, and genomics. His work bridges theoretical approaches with experimental immunology to advance precision medicine and transform current immunotherapies into more precise and accessible solutions.

Rajendra Bahadur Shahiمشاهده پروفایل

پژوهشگر

• Cancer Genetics
• Breast Cancer Research
• Lung Cancer
• +۴ مورد دیگر

Rajendra Bahadur Shahi PhD is a researcher at the Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), located at Pleinlaan 2, 1050 Brussel, Belgium. With an active research career spanning from 2012 to the present, he has established himself as a significant contributor to cancer genetics research with 11 research outputs documented in institutional records and an h-index reflecting substantial scholarly impact. Dr. Shahi's research primarily focuses on cancer genetics, particularly in the areas of breast and lung cancer predisposition. His work centers on identifying genetic variants that predispose individuals to cancer, with special attention to BRCA1/2-negative familial cases. Using advanced genomic techniques like whole-exome sequencing and next-generation sequencing (NGS), he investigates cancer-associated genes and their mutations to better understand hereditary cancer syndromes and develop improved diagnostic approaches. Analysis of Dr. Shahi's publication record reveals a clear progression from methodological development in NGS approaches toward increasingly sophisticated applications in clinical oncology. His research has evolved from foundational work on sequencing technologies to direct clinical applications in cancer predisposition and targeted therapies, particularly in breast and lung cancer. The integration of genomic data with clinical phenotypes represents a consistent theme throughout his scholarly output. European Association for Cancer Research (EACR) travel fellowship (2012) Organization of the European Cancer Institute (OECI) award (2013) Organization of the European Cancer Institute's (OECI) Award (2011) PhD Scholarship (2011) Prijs Kankeronderzoek (2016) Dr. Shahi has been actively involved in presenting his research at numerous international conferences and workshops, demonstrating his commitment to advancing knowledge in cancer genomics. His scholarly work has garnered attention across multiple platforms, with significant readership on Mendeley and coverage in news outlets, indicating the relevance and impact of his research. He has also contributed to datasets that support reproducible research in cancer genetics. Through his presentations and publications, Dr. Shahi has established himself as a contributor to the cancer research community, particularly in the application of genomic technologies to understand hereditary cancer predisposition. His work bridges basic genomic research with clinical applications, focusing on translating genetic findings into improved cancer risk assessment and potential therapeutic strategies.

Daniel Edlerمشاهده پروفایل

پژوهشگر

• Network Science
• Biodiversity
• Ecological Modeling
• +۳ مورد دیگر

Daniel Edler is a Researcher and Postdoctoral Fellow at the Department of Physics, Umeå University. His work focuses on network science, biodiversity analysis, and ecological modeling, with a particular emphasis on developing computational tools for community detection and biogeographical mapping. He contributes to interdisciplinary research, integrating methods from computer science, ecology, and information theory. Edler leads the development of Infomap Bioregions, a tool for mapping biogeographical regions using species distribution data, and CoordinateCleaner, which standardizes biological occurrence records. His research also explores threats to Madagascar’s biodiversity and the interplay between socio-political factors and biodiversity data availability through tools like Bio-Dem. He has co-developed raxmlGUI 2.0, a phylogenetic analysis interface, and contributes to the Infomap software package for network analysis. Edler’s publications highlight themes in higher-order network flows, multilayer community detection, and ecological network modules. His work appears in journals such as Science , American Journal of Botany , and Methods in Ecology and Evolution . He is an active member of the Complex Systems research group at Umeå University.

David Gfellerمشاهده پروفایل

دانشیار

• Computational Biology
• Bioinformatics
• Oncology
• +۷ مورد دیگر

David Gfeller is an Associate Professor at the University of Lausanne (UNIL), affiliated with the Faculty of Biology and Medicine and the Department of Oncology, as well as the Ludwig Institute for Cancer Research, Lausanne Branch. He leads a research group at the intersection of computational biology and oncology. David Gfeller earned his PhD in theoretical physics from EPFL, supervised by Prof. Paolo De Los Rios, and completed postdoctoral training at the University of Toronto with Prof. Gary Bader and at the Swiss Institute of Bioinformatics (SIB) with EMBO support. He began his independent career at UNIL in 2014 as an assistant professor and was promoted to Associate Professor in 2019. His research focuses on computational approaches to cancer immunology, particularly in predicting immune recognition of tumors through peptide-MHC interactions and analyzing single-cell RNA sequencing data to decipher the tumor microenvironment. His group has developed AI-driven algorithms now used clinically for personalized cancer vaccine development. His publications span leading journals such as Nature Biotechnology , PNAS , eLife , and Genome Research . The work consistently emphasizes machine learning, data integration, and translational applications in immuno-oncology. EPFL Best Thesis Award EMBO Fellowship (2010) EMBO Fellowship (2013) David Gfeller is actively involved in teaching computational biology and developing open tools for the scientific community. His lab was recognized as a SIB Remarkable Output in 2023, highlighting its impact in bioinformatics.

Jeffrey P. Kahnمشاهده پروفایل

استاد

• Bioethics
• Ethics and Public Health
• Ethics and Research
• +۷ مورد دیگر

Jeffrey P. Kahn is the Robert Henry Levi and Ryda Hecht Levi Professor at Johns Hopkins University, with a primary appointment in the Department of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health. He is a core faculty member at the Johns Hopkins Berman Institute of Bioethics, where he leads research on the ethical, legal, and social implications of emerging biomedical technologies. PhD, Georgetown University, 1989 MPH, Johns Hopkins Bloomberg School of Public Health, 1988 Dr. Kahn’s research focuses on bioethics and public health, with particular expertise in ethics and genomics, research ethics, science policy, and the governance of digital health technologies. His work addresses critical questions about informed consent, equity in access to genomic medicine, public trust in biobanking, and the ethical use of data in public health surveillance. He has led major initiatives such as the Genomic Uses in Infectious Diseases and Epidemics (GUIDE) project and research on digital contact tracing governance. His recent publications reveal a strong trend toward interdisciplinary scholarship, integrating insights from law, policy, history, and social sciences to address complex challenges at the intersection of genetics, infectious diseases, and public health. Themes include anticipatory governance of genome editing, regulatory innovation for rare diseases, and ethical frameworks for decentralized biobanking and digital health applications. Member, Delta Omega Honorary Society in Public Health, Alpha Chapter (Johns Hopkins Bloomberg School of Public Health), 2014 Robert Henry Levi and Ryda Hecht Levi Professor of Bioethics and Public Policy, 2011–present Dr. Kahn has mentored numerous scholars and contributed to national and international policy discussions on bioethics. He has received continuous research funding for projects exploring the ethical dimensions of biobanking, genomic surveillance, and public engagement in science. His leadership extends to collaborative networks such as the BRIDGES Collaboratory, which advances ethical, legal, and social studies at the nexus of infectious and genetic diseases. He is actively involved in research centers including the Johns Hopkins Berman Institute of Bioethics and leads projects that integrate ethics into public health practice and policy development.

Ashish Venkatمشاهده پروفایل

دانشیار

• Computer Architecture
• Compilers
• Computer Security
• +۱۲ مورد دیگر

Ashish Venkat is an Associate Professor in the Department of Computer Science at the University of Virginia, part of the School of Engineering and Applied Science. He holds a Ph.D. from UC San Diego and has established himself as a leading researcher in computer architecture, compilers, and computer security. Research Interests: His research focuses on cross-disciplinary hardware and software techniques to build secure, high-performance computing systems. He investigates robust exploit mitigations that maintain energy efficiency and programmability, with a particular emphasis on speculative execution, memory safety, hardware security, and privacy-preserving computing. He also explores the application of machine learning to detect security threats and model execution behavior. Publication Trends: His recent publications (2020–2025) demonstrate a strong focus on hardware-based security, particularly microarchitectural vulnerabilities (e.g., micro-op cache attacks), memory safety via microcode capabilities, and secure accelerators for bioinformatics. There is a consistent trend of publishing in top-tier venues like ISCA, MICRO, IEEE S&P, and USENIX Security, often featuring novel hardware/software co-design solutions. Scientific Awards: NSF CAREER Award (2023) NSF CRII Award (2018) IEEE Micro Top Pick (2019) IEEE Design & Test Top Pick (2020, 2021) HPCA Best Paper Runner-Up (2019) DATE Best Paper Nominee (2023) UVA Research Achievement Award (2023) ISCA Prolific Author of the Decade (2013–2022) Advising and Grants: He actively mentors graduate and undergraduate students, many of whom have pursued advanced degrees or joined leading tech companies. He has secured significant funding as PI or co-PI from NSF, DARPA, SRC, and Intel, including a $4.9M DARPA HERCULES grant and an NSF CAREER award. His projects focus on holistic security solutions, speculative optimization, and privacy-preserving machine learning frameworks. Labs and Teams: He leads a research group focused on secure and efficient computing systems, collaborating with researchers at institutions like UC San Diego, UC Riverside, and UC Irvine, as well as industry partners including Intel and IBM.

• Evolutionary Genetics
• Microbial Symbiosis
• Genome Reduction
• +۷ مورد دیگر

Rosario Gil García is a Professor in the Department of Genetics at the Faculty of Biological Sciences, University of Valencia. She is affiliated with the Institute for Biological Systems Integration (I2SYSBIO) and leads research within the GENEVOL Evolutionary Genetics group. Her work bridges molecular genetics, evolutionary biology, and systems biology. Her research focuses on evolutionary genetics of microbial symbioses , particularly in insects. Key areas include genome reduction, minimal genomes, endosymbiont evolution (e.g., Buchnera , Tremblaya , Wolbachia ), and the functional dynamics of gut microbiota in cockroaches and aphids. She investigates how long-term symbiosis shapes genome architecture and metabolic dependencies. The recent publication trends highlight a strong emphasis on minimal cellular systems , synthetic biology applications , and vector control strategies using Wolbachia-mediated incompatibility in Aedes albopictus . Her work combines comparative genomics, experimental microbiology, and systems-level modeling to understand the limits of life and harness symbiosis for biotechnological innovation. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While no list of advisees is provided, her role as a PhD supervisor (having been supervised herself) and her leadership in a major research group suggest active mentoring. She is likely involved in competitive research grants related to evolutionary genomics and synthetic biology, though specific funding sources are not listed. Labs and Teams: She is an integral member of the GENEVOL Evolutionary Genetics research group and the I2SYSBIO institute, both of which foster interdisciplinary research in biological systems, evolution, and genomics. These affiliations provide a collaborative environment for advanced genomic and experimental studies.

• Evolutionary Genetics
• Microbial Genomics
• Genomic Epidemiology
• +۷ مورد دیگر

Fernando Gonzalez Candelas is a Professor in the Department of Genetics at the Faculty of Biological Sciences, Universitat de València, Spain. He leads the EVOSALUD research group (Evolution and Health: Experimental evolution and epidemiology), hosted within the Institute for Biological Systems Integration (I2SYSBIO). His work bridges evolutionary biology, genomics, and public health, focusing on microbial pathogens and their transmission dynamics. His research interests lie at the intersection of evolutionary genetics , genomic epidemiology , and infectious disease dynamics . He investigates the genetic basis of virulence, antimicrobial resistance, and host adaptation in pathogens such as SARS-CoV-2, Treponema pallidum , Klebsiella pneumoniae , and Candida auris . His group applies high-throughput sequencing, phylogenetics, and bioinformatics to understand short- and long-term pathogen evolution. The recent publications highlight a strong focus on real-time genomic surveillance of emerging pathogens, particularly during the COVID-19 pandemic. His work spans from technical improvements in sequencing and analysis (e.g., deletion repair, genotyping discrepancies) to large-scale epidemiological inference (e.g., transmission patterns, recombination, resistance evolution). A recurring theme is the use of both modern and ancient genomes to reconstruct the evolutionary history of pathogens. His scientific contributions are recognized through active participation in national and international research consortia such as RELECOV and SeqCOVID-Spain. He has contributed significantly to understanding the first wave of the pandemic in Spain and the evolution of SARS-CoV-2 variants. He earned his PhD from the Universitat de València in 1988 with a thesis on larval competition in Drosophila , indicating a long-standing interest in evolutionary processes. While no formal awards are listed in the provided text, his leadership in high-impact research and sustained publication record suggest significant recognition in his field. Fernando Gonzalez Candelas advises students and leads a research team focused on pathogen genomics. His lab, EVOSALUD, is actively involved in projects related to wastewater monitoring, nosocomial outbreaks, and the development of tools like VIPERA for viral intra-patient evolution analysis. The group’s work has direct implications for public health policy and clinical microbiology.

Qiang Zhuمشاهده پروفایل

استاد

• Data Science
• Data Management
• Machine Learning
• +۳ مورد دیگر

Qiang Zhu is a Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn, holding the William E. Stirton Professorship (2017–2024). He founded the Data Science/Management Research Laboratory and is affiliated with the Michigan Institute for Data Science (MIDAS). His research spans data science, data management, and machine learning. Ph.D., University of Waterloo M.S., McMaster University M.Eng., Southeast University B.S., Southeast University Research focuses on advanced data indexing, query optimization, and AI-driven data management, with applications in genomics, network systems, and education. His work integrates machine learning with database systems for scalable solutions. Recent publications include topics in federated learning fairness, digital twin middleware, project-based CS education, and genome data indexing. Scientific contributions recognized through awards like the Wilkes Award (2008), ACM Distinguished Scientist (2013), and Springer Nature Editor of Distinction (2025). 2013–2018: Department Chair NSF, IBM, and Ford grants Over 250 conference committee roles He directs the Data Science/Management Research Lab, focusing on collaborative projects in genome analytics and smart computing infrastructures.

Denis Mestivierمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Data Analysis
• +۳ مورد دیگر

Denis Mestivier serves as a Professor of Bioinformatics at the University of Paris-Est Créteil, where he leads the bioinformatics platform of the Mondor Institute of Biomedical Research (IMRB) under the Faculty of Health. His multidisciplinary expertise bridges computational and biological sciences, with a career-long focus on health-related applications of data-intensive methods. Education: Master's degree in Molecular Genetics PhD in Biomathematics Research Interests: Mestivier develops computational models and bioinformatics pipelines for large-scale biological datasets, specializing in microbiome-cancer interactions and molecular biomarker discovery. His work integrates statistical analysis, metagenomics, and epigenetic modeling to address clinical health problems, particularly in gastrointestinal and liver diseases, through active collaboration with experimental research teams. Publication Trends (2011-2021): His research demonstrates a clear trajectory from metabolic modeling (2011) to translational microbiome studies in colorectal cancer (2019-2021), emphasizing bias mitigation in metagenomics and epigenetic mechanisms linking microbiota to oncogenesis. All works showcase applied bioinformatics in health contexts, with consistent focus on clinical biomarker identification and computational solutions for complex biological systems. Scientific Awards: No awards, fellowships, or medals are documented in the provided text. Teaching and Leadership: Since the 1990s/2000s, Mestivier has pioneered biology-computing curriculum development at the university level, intensifying health-focused teaching after his Faculty of Health appointment. He directs IMRB's bioinformatics platform but specific advising roles or grant funding details are not disclosed. Labs and Teams: As head of IMRB's bioinformatics platform, he oversees computational infrastructure for biomedical research, facilitating cross-disciplinary projects with experimental teams at the Mondor Institute while specializing in health data analysis.

• Eukaryotic RNA processing
• Post-transcriptional gene regulation
• Spliceosome structure and mechanism
• +۶ مورد دیگر

Melissa J. Moore, PhD, is Professor at the University of Massachusetts Chan Medical School, where she holds the Eleanor Eustis Farrington Chair of Cancer Research and serves in the RNA Therapeutics Institute. She also holds appointments in the T. H. Chan School of Medicine (Department of Chemical Biology) and the Morningside Graduate School of Biomedical Sciences (Departments of Biochemistry & Molecular Biotechnology, Interdisciplinary Graduate Program, and Translational Science). Additional affiliations include campus-wide programs in Bioinformatics & Integrative Biology and Chemical Biology. Education: BS in Chemistry/Biology, College of William and Mary PhD in Biological Chemistry, Massachusetts Institute of Technology Research Focus: Melissa Moore’s laboratory investigates post-transcriptional gene regulation in eukaryotes, with emphasis on three interconnected themes: (1) spliceosome structure and catalytic mechanism, (2) nuclear-to-cytoplasmic control of mRNA metabolism, and (3) quality control and clearance of defective ribosomal and messenger RNAs. The group combines biochemistry, single-molecule biophysics, RNA structural biology, and cell biology to dissect these processes at molecular and systems levels. Scientific Awards & Honors: Eleanor Eustis Farrington Chair of Cancer Research Funding & Collaborations: Work is supported by grants from the National Institutes of Health and involves ongoing collaborations with investigators at Brandeis University, MIT, University of Rochester, and other institutions. Rotation projects for graduate students are available in all active research areas. Laboratory & Team: The Moore laboratory is located in the RNA Therapeutics Institute at UMass Chan Medical School, 364 Plantation Street, Worcester, MA. The team employs state-of-the-art single-molecule imaging, mass spectrometry, and high-throughput sequencing to advance understanding of RNA biology and to translate insights into therapeutic RNA technologies.