جست‌وجوی استاد و پژوهشگر

Clement Adebamowoمشاهده پروفایل

استاد

• Cancer epidemiology
• Genomics epidemiology
• Nutrition epidemiology
• +۳ مورد دیگر

Clement Adebamowo is a Professor in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine, where he serves as the Director of the Cancer Epidemiology Division. At the Marlene and Stewart Greenebaum Comprehensive Cancer Center, he holds dual leadership roles as Associate Director of the Population Sciences Program and Associate Director for Diversity, Equity, Inclusion, and Accessibility. Additionally, he serves as a Research Scientist at the Center for Bioethics and Research in Ibadan and the Institute of Human Virology Nigeria in Abuja. Dr. Adebamowo earned his BM, ChB (Hons) from the University of Jos in Nigeria (1978-1984), completed postgraduate surgical training in Oncology at University College Hospital, Ibadan (1987-1993), and received his Sc.D. in Nutrition Epidemiology with a minor in Biostatistics from Harvard University (2000-2004). His research spans multiple interconnected domains focused on improving health outcomes, particularly in African populations. Dr. Adebamowo leads the NIH-funded African Collaborative Center for Microbiome and Genomics Research (ACCME), part of the H3Africa initiative, conducting comprehensive studies on genomic and epidemiologic risk factors for cervical cancer, breast cancer, uterine fibroids, and viral infections. His work integrates host germline genomics, somatic genomics, viral genomics, epigenomics, microbiome, proteomics, and metabolomics data from a cohort of approximately 12,000 women followed every six months. He also directs the Baltimore Clinical Site of the NCI CASCADE Network, a global partnership optimizing cervical cancer screening and management for women living with HIV. Additionally, Dr. Adebamowo has developed innovative training programs in Research Ethics, Responsible Conduct of Research, and Research Methodology, creating short, medium, and long-duration graduate programs that have trained over 150,298 individuals. Dr. Adebamowo's recent publications demonstrate a strong interdisciplinary approach spanning cancer epidemiology, genomics, nutrition, and research ethics. His work shows a consistent focus on African populations, with particular attention to HPV-related cancers, uterine fibroids, and the ethical implications of data science in health research. The integration of genomic, microbiome, and epidemiological data represents a cutting-edge approach to understanding disease mechanisms in understudied populations. 2022 Jeff Cohen Service Award from PRIM&R for pioneering work in research ethics in Nigeria and West Africa Mamadou Gueye Prize from the West African College of Surgeons Member of Keystone Symposia Scientific Advisory Board Member of the Fogarty International Center Advisory Board Member of the Independent Review Panel for Vivli and CSDR As an educator, Dr. Adebamowo directs the graduate course in cancer epidemiology at the University of Maryland, which attracts students across the University System of Maryland and features lecturers from the National Cancer Institute and surrounding institutions. He has secured multiple NIH grants including the Scaling Up Research Ethics and Research Integrity (SURER) Project, Bridging Gaps in the ELSI of Data Science Health Research, and the Point of Care Diagnostic test for Molecular Subtyping of Breast Cancer study. He has also developed a Food Frequency Questionnaire and Food Composition Database for African foods, significantly enhancing nutritional research capacity in Africa. Dr. Adebamowo directs the NIH Fogarty-funded West African Bioethics Training program and has been instrumental in establishing research ethics infrastructure in Nigeria, including serving as founding chair of the Nigerian National Health Research Ethics Committee for ten years. His work implementing the Nigerian National System of Cancer Registries has significantly improved cancer surveillance in the country.

Julie C. Dunning Hotoppمشاهده پروفایل

استاد

• Lateral Gene Transfer
• Genomics
• Microbiology
• +۵ مورد دیگر

Julie C. Dunning Hotopp is a Professor in the Department of Microbiology and Immunology at the University of Maryland School of Medicine and a Member of the Institute for Genome Sciences. Her pioneering work on lateral gene transfer between bacteria and animals has reshaped understanding of host-microbe genomic interactions, with significant implications for human disease mechanisms. Her academic journey includes: B.S. in Microbiology and Immunology from the University of Rochester (1993-1997) Ph.D. in Microbiology and Molecular Genetics from Michigan State University (1997-2002) Postdoctoral Fellowship at The Institute for Genomic Research (2002-2005) Dunning Hotopp's research centers on lateral gene transfer (LGT) from bacteria to animal hosts. Her landmark 2007 Science paper demonstrated extensive LGT from Wolbachia to invertebrates, ranked 73rd in Discover Magazine's top 100 discoveries of 2007. She expanded this to human somatic genomes, presenting computational evidence of bacterial DNA integration in cancer genomes (PLoS Comput Bio, 2013). Her work spans Wolbachia symbiosis in insects/nematodes, pathogen genomics of Ehrlichia/Anaplasma/Neisseria, and developing bioinformatics tools for genomic analysis. Recent publications reveal three converging research trajectories: bacterial DNA integration mechanisms in human cancers, Wolbachia-host coevolution in filarial diseases, and pathogen genomics for emerging infectious diseases. Her team combines computational genomics with molecular validation to explore LGT's role in disease pathogenesis. Her major accolades include: NIH Director’s New Innovator Award (2010) Leading Women of Maryland (2010) Genome Technology Young Investigator (2010) NIH Transformative Research Award (2015) Supported by substantial NIH funding including the New Innovator and Transformative Research Awards, her laboratory trains next-generation genomic scientists while pioneering methods to detect bacterial DNA integrations. Current projects focus on validating LGT events in cancer genomes and identifying novel drug targets for lymphatic filariasis through transferred bacterial genes. She directs two research groups at the Institute for Genome Sciences: the Lateral Gene Transfer Lab (igs.umaryland.edu/labs/lgthgt/) and her primary laboratory (igs.umaryland.edu/labs/hotopp/), where interdisciplinary teams employ single-molecule sequencing, comparative genomics, and bioinformatics to investigate host-microbe evolutionary dynamics.

Bing Maمشاهده پروفایل

استادیار

• Multi-‘Omics
• Big data
• Genomics
• +۱۲ مورد دیگر

Bing Ma is an Assistant Professor at the University of Maryland School of Medicine, affiliated with both the Institute for Genome Sciences and the Department of Microbiology and Immunology. As a computational biologist, Dr. Ma specializes in integrating advanced 'omics' technologies to study host-microbe ecosystems. Education: PhD in Computational Biology from University of Wisconsin-Madison Postdoctoral Training: Laboratory of Dr. Jacques Ravel Research focuses on Microbiome analysis using Multi-‘Omics approaches, with particular emphasis on: Microbe-Host Interactions Biomarker discovery Live biotherapeutics development Systems Biology applications GI Health research Recent publications highlight trends in Metagenomics , Metatranscriptomics , and Metabolomics applied to vaginal microbiota characterization and preterm infant gut development.

• Bioinformatics
• Immunology
• Computational Immunology
• +۶ مورد دیگر

Dr. C. (Can) Kesmir is an Associate Professor in the Bioinformatics group at the Faculty of Science, Utrecht University, where he leads research at the intersection of computational methods and immunological discovery. His work focuses on developing bioinformatics approaches to understand antigen presentation, T-cell recognition, and immune responses in health and disease. Dr. Kesmir studied Computer Science at Bosphorus University in Istanbul and Chemical Engineering at Danish Technical University, earning his Ph.D. in 1999 from the same institution. He completed postdoctoral training in the laboratory of Prof. Soeren Brunak at the Center for Biological Sequence Analysis in Copenhagen, Denmark, before establishing his independent research group at Utrecht University in 2006. His research interests center on computational immunology, with particular focus on: Development of bioinformatics methods to identify antigenic regions in genomes Evolution of antigen presentation and processing pathways Host-pathogen co-evolution, particularly using HIV-1 as a model system Genetic associations of infectious diseases Identification of neo-antigens in cancer immunotherapy Improving organ transplantation through HLA mismatch analysis Analysis of Dr. Kesmir's publication record reveals a consistent trajectory in computational immunology, with increasing focus on translational applications in infectious disease and cancer. His work demonstrates strong interdisciplinary integration between theoretical modeling, bioinformatics tool development, and experimental immunology validation. Recent publications show particular emphasis on T-cell receptor specificity, MHC-peptide interactions, and applications to emerging pathogens like SARS-CoV-2. Among his notable achievements is receiving the High Potential award from Utrecht University in 2007. He serves on the editorial board of the Immunomics journal and was a member of the Danish CensorNet for engineering students. Dr. Kesmir teaches courses including Animal Biology, Host-Microbe Interactions, Immunobiology, and Thesis Projects. He leads research within the Biodynamics and Biocomplexity group at Utrecht University and is associated with the Utrecht Molecular Immunology Hub, where his team develops computational approaches to address fundamental questions in immune recognition and response.

Chengsheng Zhuمشاهده پروفایل

پژوهشگر ارشد

• Microbiome Research
• Function Prediction
• Machine Learning
• +۳ مورد دیگر

Chengsheng Zhu serves as a Research Fellow in the Department of Biochemistry and Microbiology at Rutgers University's School of Environmental and Biological Sciences, conducting computational microbiome research within the BrombergLab. His work focuses on developing analytical tools for large-scale microbial genomic data to understand microbe-environment interactions with applications in bioremediation, human health, and climate science. His academic background includes: Ph.D. in Microbiology and Molecular Genetics (2017), Rutgers, the State University of New Jersey M.Sc. in Biology (2010), Central Michigan University B.Sc. in Biology (2006), Fudan University Research centers on microbiome dynamics, machine learning applications for function prediction, and computational genomics. He investigates how microbes reshape environments ranging from human guts to extraterrestrial samples, with emphasis on detoxification processes and health implications. Current work develops high-precision tools for microbial community analysis at massive scales. Publications reveal strong computational focus across diverse environments—human gut, urban subways, snowpacks, and waste treatment systems—with recurring themes in functional annotation, microbial diversity assessment, and bioinformatics tool development for big data challenges. No scientific awards were documented in the source materials. Advising and grant activities aren't specified in available information, though his BrombergLab affiliation indicates active participation in collaborative research projects. He contributes to the BrombergLab's mission of advancing computational approaches to microbiome analysis, particularly for environmental and biomedical applications requiring large-scale data processing.

• Biosecurity
• Policy Analysis
• Virology
• +۳ مورد دیگر

Michael Parker, PhD, is an Assistant Dean and Adjunct Professor in the Department of Biology at Georgetown University (Washington, DC). He advises undergraduate majors in Biology and Chemistry and leads research on biosecurity policy. His educational background includes a BS in Biology (Millersville University) and MS/PhD in Immunobiology (Yale University), where he studied innate immune responses to RNA viruses as a Gruber Fellow and NSF Graduate Research Fellow. Research Focus Dr. Parker specializes in biosecurity, virology, and policy analysis. His group investigates: Historical trends in biothreat risk assessments Regulatory frameworks for synthetic DNA and chimeric viruses Public commenting impacts on biosafety policies DNA synthesis provider screening practices Publication Trends Recent work (2022–2025) emphasizes biosecurity policy, risk assessment, and synthetic biology governance. Earlier publications (2014–2018) cover immunology, virology, plant genomics, and education tax policy. Awards Gruber Science Fellowship National Science Foundation Graduate Research Fellowship Research Group Dr. Parker directs a team focused on biothreat policy analysis. Current projects include the COBRA database for historical risk assessments and evaluations of DNA synthesis regulations.

Seumas Millerمشاهده پروفایل

استاد

• Philosophy of Social Action
• Criminal Justice Ethics
• Business Ethics
• +۴ مورد دیگر

Professor Seumas Miller is a philosopher at Charles Sturt University, affiliated with the Australian Graduate School of Policing and Security and Practical and Public Ethics Research Group . He is also a Distinguished Research Fellow at the Uehiro Centre for Practical Ethics, Oxford University. Role : Research Leader of Contemporary Threats to Australian Security (CTAS) Grants : Principal Investigator on European Research Council Advanced Grant (2016-2021) and ARC Discovery Grant Chief Investigator Research Focus : Ethics of national security intelligence, cybersecurity ethics, institutional corruption, collective responsibility, and moral foundations of social institutions. His work spans interdisciplinary collaborations in policing, biosecurity, and counter-terrorism. Scientific Awards : Distinguished Research Fellow, Uehiro Centre for Practical Ethics, Oxford University Recent Publications analyze ethical frameworks for robotics, national security intelligence, financial benchmarks, and biosecurity, emphasizing collective responsibility and institutional integrity.

Leopold Partsمشاهده پروفایل

استاد

• Genome engineering
• CRISPR/Cas9 technology
• Human genetics
• +۵ مورد دیگر

Dr. Leopold Parts is a Group Leader at the Wellcome Sanger Institute, where he leads the Parts Group within the Human Genetics Programme and the Generative and Synthetic Genomics Programme. His research focuses on understanding human DNA function through genome engineering approaches, combining experimental and computational methods to study how genetic variation affects cellular traits. Parts received his undergraduate education at MIT, double majoring in Computer Science and Mathematics, before earning his PhD in Molecular Biology from the University of Cambridge in 2011 under Richard Durbin. His doctoral work on sources of variation in gene expression earned him the Grand Prize of life sciences PhDs in Estonia. He then completed postdoctoral training as a Canadian Institute for Advanced Research Global Scholar at the University of Toronto with Brenda Andrews and Charles Boone, followed by a Marie Curie Fellowship at EMBL Heidelberg and Stanford University with Lars Steinmetz. His research program integrates genome engineering, high-throughput screening, and computational modeling to understand how DNA sequence variation affects cellular phenotypes. The Parts Group develops tools for genetic perturbations using CRISPR/Cas, prime editing, and recombinase systems to create cell lines for randomization, screening, and evaluation. They combine these experimental approaches with probabilistic modeling to analyze large-scale genetic screens and their outputs. The analysis of Parts' recent publications reveals a strong focus on genome engineering technologies, particularly CRISPR-based approaches. His work spans multiple applications including predicting editing outcomes, developing tools for structural variant engineering, and applying these techniques to understand human disease mechanisms, particularly in cancer. His research bridges computational biology and experimental genomics, with increasing emphasis on single-cell technologies and clinical applications. Grand Prize of life sciences PhDs in Estonia Parts leads a diverse research team including postdoctoral fellows, advanced research assistants, and PhD students, with current members including Dr. Alistair Dunham, Mr. Gareth Girling, Elin Madli Peets, and Isabelle Zane. His group collaborates extensively with other research teams at the Sanger Institute, including the Cancer Dependency Map, Cellular Generation, and Cellular Screening groups. The Parts Group is part of the broader Human Genetics Programme, which aims to understand the genetic causes and biological mechanisms of disease susceptibility. The Parts Group maintains strong collaborations with external partners including the Open Targets consortium and the Cancer Dependency Map initiative. Their work combines laboratory-based genome engineering with computational analysis to address fundamental questions about human genome function.

Xavier Aubriotمشاهده پروفایل

استادیار

• Taxonomy
• Phylogenetics
• Plant Evolution
• +۷ مورد دیگر

Xavier Aubriot is a Lecturer and Assistant Professor at Université Paris-Saclay, affiliated with the Laboratoire Écologie, Société et Évolution (IDEEV) and the lab ESE. He has contributed to the taxonomy, phylogenetics, and diversification of flowering plants, with a focus on Malagasy Euphorbia , the Madagascan endemic Sarcolaenaceae , and the Solanum clade in Tropical Asia. His research integrates species distribution modelling, NGS, and morphometrics. PhD from Paris Natural History Museum (2012) Postdoctoral Fellow at Natural History Museum, London (2013–2016) Research/Teacher Assistant at Université de Rennes 1 (2017–2018) His research has been published in journals like Molecular Ecology and Systematic Botany , with recent studies on genomic insights into plant domestication and challenges in large-genus taxonomy. He serves on the board of the Systematics Association, co-organizing the Young Systematists Forum and evaluating grants for the Systematics Research Fund. In teaching, he delivers undergraduate botany courses (Licence 1 and 3) at Université Paris-Sud and contributes to professional training in sustainable urban landscape management (University of Rennes 1/National Museum of Natural History/School du Breuil). At the postgraduate level, he teaches phylogenetics and human-plant historical relationships at Université de Rennes 1 (Master 2 bioinformatics) and the National Museum of Natural History (Master 1 plant biodiversity).

Aleksandar Rajkovicمشاهده پروفایل

استاد

• Reproductive Genetics
• Reproductive Tract Development
• Genomics
• +۴ مورد دیگر

Aleksandar Rajkovic, MD, PhD, serves as Chief Genomics Officer at UCSF Health with a joint academic appointment as a Professor in the Departments of Pathology and Obstetrics, Gynecology and Reproductive Sciences at the University of California San Francisco. He holds the Stuart Lindsay Distinguished Professorship in Experimental Pathology and is affiliated with multiple UCSF campuses including Mission Bay, Parnassus Heights, and Mount Zion. BS in Chemistry from Johns Hopkins University (1985) MD/PhD in Medicine & Molecular Biology from Case Western Reserve University (1992) Residency & Fellowship in Obstetrics/Gynecology and Maternal-Fetal Medicine at Metrohealth Medical Center (1997) Medical Genetics Residency at Baylor College of Medicine (1999) Dr. Rajkovic's research focuses on reproductive genetics and reproductive tract development , particularly investigating genetic causes of human infertility and accelerated reproductive tract aging. His lab discovered critical transcriptional regulators like Nobox, Lhx8, Sohlh1/2, and Hormad1 through animal models and next-generation sequencing of reproductive pathologies. Current work includes genomic analysis of uterine leiomyomas using Med12 gene variant mouse models and DNA damage response gene studies (MCM8/9) in gonadal dysgenesis. His team applies cutting-edge technologies like single-cell sequencing to understand cellular heterogeneity in reproductive tissues and leverages global genomic databases (gnomAD) for equitable carrier screening frameworks. Scientific recognition includes: Election to Association of American Physicians (2017) Keynote Speaker, International Federation of Fertility Societies (2016) Stuart Lindsay Distinguished Professorship (2018) Multiple research awards from Metrohealth Medical Center and professional societies His 15 most recent publications (2022-2025) demonstrate expertise in reproductive genomics, covering topics from uterine fibroid pathogenesis and pregnancy loss genetics to pharmacogenomics implementation and diverse population carrier screening . These works employ advanced techniques like optical genome mapping, single-cell sequencing, and cross-institutional electronic health record analysis.

Emanuela Leonardiمشاهده پروفایل

استادیار

• Personalized Medicine
• Neurodevelopmental Disorders
• Non-globular domains in human diseases
• +۳ مورد دیگر

Emanuela Leonardi is an Assistant Professor (tenure track) in Biochemistry (SSD BIO/10) at the Department of Biomedical Sciences , University of Padua (Italy) , where she has held this position since October 2022. Her research focuses on Personalized Medicine , Neurodevelopmental Disorders , and Non-globular Domains in Human Diseases . PhD in Bioscience and Biotechnology (Curriculum: Biochemistry and Biophysics), University of Padova, 2012 MSc in Molecular Biology , University of Padova, 2008 BSc in Molecular Biology , University of Padova, 2005 Degree in Biomedical Laboratory Technician , University of Padova, 1998 Her recent publications highlight expertise in genetic variant interpretation , neurodevelopmental disorder diagnostics , and bioinformatics analysis of intrinsically disordered proteins , particularly through contributions to the CAGI (Critical Assessment of Genome Interpretation) and DisProt databases. Key collaborations span Human Genetics , Nucleic Acids Research , and computational genomics consortia.

Mathias Wilhelmمشاهده پروفایل

استاد

• Computational Proteomics
• Mass Spectrometry
• Bioinformatics
• +۳ مورد دیگر

Prof. Dr. Mathias Wilhelm is a Professor of Computational Mass Spectrometry at the Chair of Proteomics and Bioanalytics at the Technische Universität München (TUM) . His research focuses on computational proteomics , machine learning applications in mass spectrometry , and multi-omics data integration , particularly through projects like ProteomicsDB and Prosit . He leads a multidisciplinary team developing open-source software for proteomics data analysis and co-founded MSAID and OmicScouts . His teaching includes advanced bioinformatics courses and problem-based learning modules at TUM. He serves on the scientific advisory board of Momentum Biotechnologies and collaborates extensively in quantitative proteomics , phosphoproteomics , and immunopeptidomics . His work emphasizes FAIR data principles and high-throughput experimental frameworks .

Carmen Cataláمشاهده پروفایل

استادیار

• Plant Biology
• Fruit Development
• Auxin Signaling
• +۴ مورد دیگر

Carmen Catalá serves as an Assistant Professor in the Section of Plant Biology within Cornell University's School of Integrative Plant Science. Her laboratory investigates molecular mechanisms governing tomato fruit development, with particular focus on auxin synthesis, translocation, and signaling networks. Based in offices 315/316 at Cornell, she maintains an active research program integrating genetic, genomic, and biochemical approaches to study fruit set and growth processes. Her research centers on elucidating auxin homeostasis during tomato fruit development, examining how spatial and temporal control of auxin levels regulates ovary growth post-fertilization and coordinates cell expansion. Key investigations include transcriptional mapping of PIN and AUX/LAX gene families controlling auxin transport, analysis of IAA biosynthesis pathways, and cell-specific transcriptome profiling using Laser Capture Microdissection. Recent work extends into drought stress adaptation mechanisms and utilization of wild tomato species for genetic diversity studies. Publications reveal consistent focus on auxin-mediated developmental processes, with increasing emphasis on environmental stress responses and genomic approaches. Her work demonstrates strong integration of transcriptomic, proteomic, and physiological methodologies to address fundamental questions in fruit biology. The 2018 Tomato Expression Atlas represents a significant community resource for plant researchers. No scientific awards were explicitly mentioned in the source materials. Her laboratory engages in mentoring through the Boyce Thompson Institute internship program, where students investigate molecular mechanisms underlying fruit set, development, and drought stress responses in tomato systems. The Catalá Lab operates at the intersection of plant physiology, molecular genetics, and genomics, utilizing tomato as a model system to address fundamental questions in fruit development. Research activities include hormone signaling analysis, transcriptome profiling, and investigation of wild tomato species for stress adaptation traits.

• Bioinformatics
• Biomedical Informatics
• Data Science
• +۷ مورد دیگر

Jihoon Kim, PhD is an Assistant Professor of Biomedical Informatics and Data Science at Yale School of Medicine. As a founding faculty member of the Section of Biomedical Informatics and Data Science, Dr. Kim leads innovative research at the intersection of bioinformatics, data science, and pediatric medicine. His work focuses on applying multi-omics approaches to understand complex diseases, particularly Kawasaki Disease (KD). Assistant Professor of Biomedical Informatics and Data Science (Primary Appointment) Faculty member of the Yale Combined Program in the Biological and Biomedical Sciences (BBS) Researcher at Human Genome Sciences Dr. Kim earned his PhD from the University of California San Diego, an MS from the University of Wisconsin, and another MS from Seoul National University. His educational background provided the foundation for his expertise in bioinformatics and computational approaches to biomedical problems. Dr. Kim's research interests center on developing and applying bioinformatics tools to understand the genetic and molecular basis of diseases, with particular focus on Kawasaki Disease. His work integrates DNA, RNA-Seq, microRNA, proteome, and metabolome data from the same patients, linked with electronic health records. He has developed several bioinformatics software tools and analysis pipelines using KD omics datasets, including the first whole genome sequencing of African KD families. His expertise extends to distributed computing environments, secure genomic data analysis, and federated learning approaches for multi-institutional studies. Dr. Kim also contributes to cancer research, inflammatory bowel disease studies, and COVID-19 data analysis through collaborative projects. His publication record demonstrates expertise across multiple domains including bioinformatics tool development, multi-omics integration, genetic studies of rare diseases, and clinical applications of machine learning. Recent work shows increasing focus on privacy-preserving analytics, blockchain applications in healthcare, and addressing health disparities through data science approaches. His research spans pediatric diseases, cardiovascular conditions, and inflammatory disorders, with strong emphasis on translational applications. Rising Star Award at the 14th International Kawasaki Disease Symposium (February 2025) Dr. Kim's research is supported by multiple NIH grants, The Gordon and Marilyn Macklin Foundation, and resources from Illumina. He collaborates extensively with clinicians and researchers across institutions, particularly with Dr. Jane Burns on Kawasaki Disease research and with Dr. Lucila Ohno-Machado on multiple projects including the All of Us research program. His work demonstrates successful translation of bioinformatics methods to address clinical challenges in rare diseases where patient samples are scarce and analysis methods are not well established. As a founding faculty member of Yale's Section of Biomedical Informatics and Data Science, Dr. Kim contributes to building research infrastructure and collaborative networks focused on applying data science to biomedical challenges. His work bridges computational methods development with direct clinical applications, particularly in pediatric vasculitis research.

Patrick Aloy Calafمشاهده پروفایل

استاد پژوهشی

• Structural bioinformatics
• network biology
• network medicine
• +۳ مورد دیگر

Dr. Patrick Aloy Calaf is an ICREA Research Professor and Principal Investigator at the Institute for Research in Biomedicine (IRB Barcelona) , leading the Structural Systems Biology lab. His academic journey includes a BSc in Biochemistry and an MSc in Biotechnology from the Autonomous University of Barcelona (UAB) , followed by a postdoctoral and staff scientist role at the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany. His research merges structural bioinformatics , network biology , and systems pharmacology to analyze macromolecular assemblies using 3D structures. He has pioneered Structural Systems Pharmacology , integrating chemical and structural data for drug development, and developed tools like 3did , IntSide , and NetAligner to model protein interactions and networks. Key research areas: 3D interactomes Peptide-mediated interactions Network medicine His 150+ publications in journals like Nature , Cell , and PLoS reflect broad impact, with over 17,500 citations. His work spans from yeast interactome modeling to human disease networks, emphasizing structural insights in biological complexity. The Structural Systems Biology lab under his leadership focuses on bridging computational models with experimental validation, advancing structural predictions for protein complexes and pathways.