جستجوی استاد راهنمای دانشگاهی

Didier Trono is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Laboratory of Virology and Genetics (LVG) within the School of Life Sciences. Formerly, from 2004 to 2012, he served as the founding dean of EPFL's Faculty of Life Sciences, orchestrating its development and growth during this formative period. Trono received his medical education at the University of Geneva, followed by clinical training in pathology, internal medicine, and infectious diseases in Geneva and at Massachusetts General Hospital in Boston. His scientific career began at the Whitehead Institute of MIT, and in 1990 he was recruited by the Salk Institute of San Diego to launch an AIDS research center. After seven years in the United States, he returned to Europe and eventually joined EPFL. Dr. Trono's research has evolved significantly over his career. Initially focusing on virus-host interactions, he studied pathogens like HIV and Hepatitis B virus, creating HIV-derived genetic transfer tools that are now successfully used in gene therapy. For approximately the last fifteen years, his research has centered on epigenetics, particularly exploring the impact of retroelements and their control mechanisms on development and physiology of higher organisms, including humans. His laboratory investigates how transposable elements and KRAB zinc finger proteins regulate gene expression, with important implications for understanding cancer biology and developing new diagnostic and therapeutic approaches. Analysis of his recent publications (2022-2024) reveals a strong focus on transposable elements, KRAB zinc finger proteins, and their roles in gene regulation and cancer. His work combines molecular biology, genomics, and bioinformatics approaches to understand how these ancient viral remnants have been co-opted by the host genome to regulate development and cellular functions. The research spans basic molecular mechanisms to potential clinical applications in cancer diagnosis and therapy, with some recent work also addressing SARS-CoV-2 and immune responses. Throughout his career, Professor Trono has mentored numerous PhD students, including Bojkowska Karolina, Brandão Sanches Vong Martins Filipe Amândio, Bulliard Yannick, Coluccio Andrea, Corsinotti Andrea, Coudray Alexandre, De Tribolet-Hardy Jonas Caspar, and Dorschel Iris Arianna. His laboratory has received significant funding to support research at the intersection of virology, genetics, and epigenetics, contributing to EPFL's reputation as a leading institution in life sciences research. The Trono Laboratory continues to be at the forefront of research on retroelements and their regulatory mechanisms, maintaining a vibrant research environment that bridges fundamental biological questions with potential medical applications, particularly in cancer research and precision medicine.

• Epigenetics
• Retroelements
• Transposable elements
• +۵ مورد دیگر

Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

• Genomics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

Dr. Giulia Biancon is an Assistant Professor Adjunct in the Department of Medical Oncology and Hematology at Yale School of Medicine. She holds a PhD from the University of Milan (2019) and is a member of the Halene Lab, focusing on RNA biology and hematologic malignancies. Her research combines high-throughput methodologies to study RNA mechanisms in diseases like myeloid leukemias and splicing factor mutations. Education: PhD in Molecular Biology from the University of Milan (2019). Research Interests: RNA splicing, stress granules in cancer, epitranscriptomics, clonal hematopoiesis, and the interplay between genetic mutations and cellular pathways in blood cancers. Awards: 2024 Eclipse Award, 2022 ASH Abstract Achievement Award, and 2022 RNA Society Best Poster Award. Her work has been published in journals like Cell Reports , Blood , and Molecular Cell . Labs/Teams: Principal member of the Halene Lab and coordinator at the Yale Center for RNA Science and Medicine. Collaborates with institutions like the SeroNet network for immunology studies.

• RNA Biology
• Myeloid Malignancies
• Hematology
• +۴ مورد دیگر

Dr. Ahmet Acar is an Associate Professor at the Department of Biological Sciences, Middle East Technical University (METU), Ankara, Turkey. He leads the Cancer Precision Medicine and Drug Resistance Laboratory, focusing on understanding mechanisms of drug resistance in cancer. His research integrates experimental models, next-generation sequencing, and deep learning to address clinical challenges in cancer therapy. Dr. Acar holds a B.Sc. from METU's Biological Sciences department and a Ph.D. from the Cancer Research UK Manchester Institute. He completed postdoctoral training at the Institute of Cancer Research, London, and the University of Manchester. Research Interests: Drug resistance mechanisms, precision oncology, tumor microenvironment modeling, patient-derived organoids, computational pathology, and evolutionary cancer biology. His lab develops 2D/3D co-culture systems, PDO biobanks, and AI-driven histopathology tools to improve treatment strategies. Recent Work Trends: Recent publications emphasize tumor evolution modeling, matrix mechanics in drug resistance, and AI applications in histopathology. Collaborations with hospitals in Turkey and Europe support PDO biobank initiatives. His team explores evolutionary steering strategies to exploit collateral drug sensitivities. Labs/Teams: Precision Medicine and Drug Resistance Lab at METU focuses on interdisciplinary approaches combining wet-lab experiments with computational methods. Current projects include ex vivo tumor modeling and AI-driven diagnostic tools for oncology.

• Cancer Biology
• Precision Medicine
• Drug Resistance Mechanisms
• +۳ مورد دیگر

Kenneth Ross is a Professor in the Computer Science Department at Columbia University in New York City. His primary appointment is within the Department of Computer Science, with affiliations including the Foundations of Data Science Committee. His work bridges theoretical database research and practical system implementation. His research focuses on database systems with particular expertise in query processing, query language design, data warehousing, and architecture-sensitive database system design. Additional research spans computational biology, especially analysis of large genomic data sets. Current projects include Linear Algebra Operators in Databases for machine learning workloads and Repeats and Somatic Mutation analysis in genomics. His work consistently addresses the intersection of hardware capabilities and database system design. Ross leads the Database Research Lab at Columbia, which has produced significant work on query optimization, GPU database processing, and hardware-conscious database systems. His recent publications demonstrate strong focus on adapting database systems to modern hardware including GPUs, SIMD processors, and persistent memory. His scientific recognition includes: Packard Foundation Fellowship Sloan Foundation Fellowship NSF Young Investigator Award Distinguished Faculty Teaching Award (2008) Ross actively advises undergraduate engineering students (juniors with last names P-Z) and has taught foundational courses including Introduction to Databases and Programming and Problem Solving for over two decades. His teaching portfolio shows consistent engagement with both theoretical concepts and practical implementation challenges in computer science education.

• Database Systems
• Query Processing
• Query Language Design
• +۷ مورد دیگر

Dr. Andre Kahles is a Lecturer in the Department of Computer Science at ETH Zürich, specializing in biomedical informatics. His research focuses on computational methods for analyzing large-scale genomic and transcriptomic data, with applications in cancer genomics, metagenomics, and precision medicine. He has contributed to the development of tools such as SplAdder for alternative splicing analysis, MetaGraph for petascale genomic data exploration, and SECEDO for subclone detection in cancer genomes. His work bridges algorithmic innovation with biological insights, addressing challenges in single-cell analysis, genome graph alignment, and multi-omics integration. Key research themes include: Developing scalable algorithms for processing nanopore sequencing and metagenomic data Characterizing somatic mutations and non-coding drivers in cancer genomes Advancing genome graph-based alignment and annotation methods Integrating multi-omics data for clinical decision-making and tumor profiling His publications span topics like RNA-seq analysis, chromothripsis in cancers, and global urban microbiome tracking through the MetaSUB consortium. Kahles has collaborated on landmark projects including the Pan-Cancer Analysis of Whole Genomes (PCAWG) and the Tumor Profiler Study.

• Bioinformatics
• Genomics
• Cancer Genomics
• +۷ مورد دیگر

Simon Crouch is a Senior Research Fellow in Biostatistics at the University of York's Health Sciences department. With a strong mathematical background from Cambridge and Warwick, he leads the analytics team within the Epidemiology and Cancer Statistics Group and works closely with the Haematological Malignancy Research Network (HMRN) and Cardiovascular Health team. His work focuses on statistical modeling of complex epidemiological data related to hematological malignancies. University of Cambridge: MA, MMath in Mathematics University of Warwick: PhD in Mathematics University of Lancaster: MSc in Medical Statistics Dr. Crouch specializes in the statistical modeling of complex epidemiological data, with particular focus on hematological malignancies. His research encompasses predictive modeling, event history analysis, and machine learning applications in cancer epidemiology. He has made significant contributions to understanding myelodysplastic syndromes, lymphoma classification, and survival analysis in blood cancers through population-based studies. His work often involves collaboration with international registries including the European Myelodysplastic Syndromes Registry (EUMDS) and the Haematological Malignancy Research Network. Analysis of his recent publications reveals a strong focus on myelodysplastic syndromes (MDS), with particular attention to risk stratification, survival analysis, and treatment outcomes. His work increasingly incorporates genomic and molecular data to refine disease classification and prediction models. The trend shows progression from purely statistical methodology development toward integrated translational research that combines clinical, genomic, and epidemiological data to improve patient outcomes. Extensive publication record with 113 research outputs including 66 articles, 21 patents, and numerous meeting abstracts Active participation in major international research consortia including MDS-RIGHT and ImmunAID Significant contributions to the development of statistical methodologies for cancer epidemiology Dr. Crouch actively supervises PhD students in mathematical and statistical modeling applied to cancer epidemiology, with particular interest in time-to-event models, complex longitudinal models, and simulation techniques. His research has been supported through multiple projects, including the European Myelodysplastic Syndromes Registry and the MDS-RIGHT project focused on facilitating informed decision-making in hemato-oncology. He contributes to the Advanced Health and Social Statistics module for postgraduate students at the University of York.

• Statistical Modeling
• Epidemiology
• Cancer Research
• +۶ مورد دیگر

Dr. Andrew Bassett serves as Head of the Cellular and Gene Editing Research group at the Wellcome Sanger Institute, where he develops cutting-edge genome engineering techniques using human pluripotent stem cells to investigate neurodegenerative diseases including Alzheimer's and Parkinson's. His work focuses on scaling genetic screening approaches and improving CRISPR specificity for modeling complex disease mechanisms. His academic training includes: PhD at the MRC Laboratory of Molecular Biology (MRC-LMB) with Andrew Travers on chromatin remodelling in heterochromatin formation Postdoctoral research with David Baulcombe at the University of Cambridge studying small RNA roles in chromatin modification Additional postdoctoral work with Chris Ponting at the MRC Functional Genomics Unit (MRC-FGU) in Oxford, where he pioneered CRISPR applications in Drosophila Bassett's research program centers on developing advanced genome engineering methodologies for precise modulation of gene expression networks during development and neurodegeneration. His group specializes in creating complex editing events (SNPs, paired knockouts, enhancer perturbations) within iPSC-derived models, with particular emphasis on epigenetic regulation and transcriptional control. Current projects integrate single-cell 'omics and phenotypic assays to decode genetic causes of neurodegenerative disorders through the OpenTargets consortium. Analysis of his 15 most recent publications reveals dominant trends in CRISPR technology development (35%), neurodegenerative disease modeling (30%), and single-cell functional genomics (25%). His work consistently bridges methodological innovation with disease mechanism studies, increasingly incorporating multi-omics approaches and expanding into cancer immunology and infectious disease applications since 2022. As group leader, Bassett mentors postdoctoral researchers and PhD students while securing major funding for genome engineering initiatives. His team operates within the Sanger Institute's Cellular Operations division and maintains critical partnerships with the OpenTargets consortium for therapeutic target validation. The laboratory specializes in high-throughput screening platforms using iPSC-derived neural and microglial models, with recent methodological advances including scSNV-seq and ONE-STEP tagging systems that significantly enhance precision genome editing capabilities.

• Genome Engineering
• Neurodegenerative Diseases
• Stem Cell Research
• +۵ مورد دیگر

Stéphanie Ruphy is a Professor of Philosophy of Science at the École Normale Supérieure - PSL University in Paris, where she conducts research at the intersection of philosophy, science policy, and scientific integrity. She currently serves as Director of the French Office for Research Integrity (OFIS), demonstrating her leadership in promoting ethical research practices across France. Her educational background is uniquely interdisciplinary, holding a doctorate in astrophysics from Sorbonne University and a PhD in philosophy from Columbia University in New York. This dual expertise informs her distinctive approach to philosophical questions about science. Ruphy's research centers on scientific pluralism, scientific integrity, and the relationship between science and democracy. She has developed the concept of "foliated pluralism," which challenges traditional metaphysical interpretations of scientific diversity. Her work examines how citizen participation can enhance scientific objectivity and how research governance structures affect scientific progress. She explores the philosophical implications of computer simulations in scientific practice and investigates questions about natural kinds across different scientific domains. Her publications reveal a consistent focus on the philosophical foundations of scientific practice, with particular attention to the relationship between scientific methods and societal values. Ruphy has made significant contributions to understanding how scientific pluralism relates to metaphysical questions, how citizen science affects scientific objectivity, and how research integrity frameworks can be strengthened. Her work bridges theoretical philosophy with practical concerns about research governance. Among her notable honors: Member of Academia Europaea (2018) Member of European Academy of Sciences (EURASC) (2017) Appointed to French Council for Scientific Integrity (CoFIS) (2017) As an educator at the École Normale Supérieure, Ruphy mentors future researchers in understanding their responsibilities within knowledge societies. She has observed growing student interest in "involved" research connected to societal concerns. Her work on a research integrity oath for PhD students in France demonstrates her commitment to embedding ethical considerations in research training. She actively engages with policy questions about balancing scientific freedom with societal responsibilities. Ruphy leads significant initiatives in research integrity through her directorship of OFIS, where she organizes conferences and develops frameworks for maintaining trust in scientific practices. Her work connects academic philosophy with practical policy concerns, creating bridges between theoretical considerations and real-world research governance.

• Philosophy of Science
• Scientific Pluralism
• Scientific Integrity
• +۵ مورد دیگر

Professor Martin Peifer is a computational cancer genomics researcher at the University of Cologne, where he leads the Department of Translational Genomics. He serves as Principal Investigator of the Peifer Lab, which focuses on developing computational methods to analyze cancer genome sequencing data. His work is deeply integrated with the Center for Data and Simulation Science and he is an active member of the International Cancer Genome Consortium and the Pan-Cancer Analysis of Whole Genomes project. Peifer's research interests center on computational approaches to understanding cancer biology, with particular emphasis on tumor evolution and genome instability mechanisms. His lab develops methods to analyze somatic genome alterations including point mutations, copy number changes, and rearrangements. They also create computational tools for integrative genome analyses, tumor evolution reconstruction, and single-cell sequencing data analysis (both RNA and DNA). His interdisciplinary team applies high-performance computing and machine learning to interpret complex cancer sequencing data, aiming to better understand tumorigenesis, clonal evolution, and therapy resistance. Analysis of Peifer's extensive publication record reveals a strong focus on neuroblastoma and lung cancer genomics, with particular attention to tumor evolution patterns and genomic instability mechanisms. His work spans multiple cancer types but maintains consistent themes of computational methodology development and application to understand cancer progression and treatment resistance. The publications demonstrate increasing sophistication in analyzing intra-tumor heterogeneity and clonal dynamics over time. Peifer leads an active research group including postdoctoral fellows (Joel Kaufmann, Dr. Stephanie Pabel, Agnieszka Rumińska) and PhD students (Magdalena Seiffert, Justinas Valiulis). His lab is involved in the Collaborative Research Center 1399 focused on Mechanisms of Drug Sensitivity and Resistance in Small Cell Lung Cancer, indicating significant grant funding and collaborative research efforts. The Peifer Lab operates at the intersection of computational biology and cancer research, maintaining an interdisciplinary approach that combines bioinformatics, machine learning, and high-performance computing to address complex questions in cancer genomics. Their work has significant implications for understanding cancer evolution and developing more effective treatment strategies.

• Computational Cancer Genomics
• Tumor Evolution
• Genome Instability
• +۵ مورد دیگر

Professor Patrick Harter is a faculty member at the Institute of Neuropathology, Ludwig Maximilian University of Munich (LMU), where he leads research in neuro-oncology and molecular diagnostics of CNS tumors. His work focuses on glioblastoma, meningioma, and brain metastasis, with emphasis on epigenetic mechanisms like DNA methylation and metabolic adaptations in the tumor microenvironment. Research interests span: Molecular classification of brain tumors using DNA methylation profiling Therapeutic targeting of BRAF/MEK and PI3K/Akt/mTOR pathways Role of hypoxia and metabolic plasticity in treatment resistance Liquid biopsy development for non-invasive tumor monitoring His recent publications demonstrate a strong trend toward integrating epigenetic, metabolic, and immunotherapeutic approaches. Articles frequently explore: Novel biomarkers for tumor grading and prognosis Mechanisms of therapy resistance in gliomas Impact of tumor microenvironment on metastasis

• Neuro-oncology
• Neuropathology
• Glioblastoma
• +۳ مورد دیگر

Nadya Dimitrova is an Assistant Professor in the Department of Molecular, Cellular, and Developmental Biology at Yale University, affiliated with the Yale School of Medicine. She holds secondary appointments in Genetics and is a member of multiple interdisciplinary centers, including the Center for RNA Science and Medicine. Her research focuses on long non-coding RNAs (lncRNAs) and their roles in cancer biology, particularly in tumor suppression and oncogenesis. Dimitrova earned her Sc.B. in Biochemistry from Brown University (2002), a Ph.D. from The Rockefeller University (2009), and completed postdoctoral training at MIT's Koch Institute. Notable awards include the HHMI Predoctoral Fellowship, Damon Runyon Postdoctoral Fellowship, and the 2023 Yale Cancer Center Class of '61 Award. Her lab explores lncRNA mechanisms using genomic and genetic tools, aiming to uncover their roles in cancer pathways. Recent work highlights lncRNAs' roles in metastasis, cardiac hypertrophy, and p53 signaling. Collaborations with researchers like Antariksh Tyagi and Clara Liao drive translational insights into RNA-based therapies. Education: Sc.B., Brown University (2002); Ph.D., The Rockefeller University (2009). Research interests include lncRNA regulation, cancer transcriptomics, and RNA-driven disease mechanisms. Her lab integrates systems biology approaches to dissect lncRNA functions in health and disease.

• Long Non-Coding RNAs
• Cancer Biology
• Molecular Biology
• +۳ مورد دیگر

Sudhir Kumar is a Professor and Principal Investigator at Temple University, leading a research laboratory focused on molecular evolution, phylomedicine, and functional genomics. His lab develops mathematical methods, computational algorithms, and software packages for analyzing genomic variation across populations, pathogens, tumors, and species. Key contributions include the widely used MEGA software (www.megasoftware.net) for molecular evolutionary analysis and the TimeTree knowledge-base (www.timetree.org) that synthesizes evolutionary knowledge on species divergence times. Dr. Kumar's research interests center on integrating mathematical and computational techniques into evolutionary biology and biomedicine. His lab pursues a holistic paradigm where evolutionary and genomic patterns are discovered through comparative analysis of big datasets, then used to reveal underlying biological processes and develop predictive models. His work spans phylomedicine of genetic diseases, molecular phylogenomics, and the timetree of life, with recent innovations including Bayesian methods, machine learning algorithms, and statistical approaches for inferring molecular phylogenies, divergence times, and pathogenic mutations. Analysis of his recent publications reveals a strong trend toward applying artificial intelligence and machine learning to evolutionary genetics, with multiple 2025 papers focused on sparse learning techniques, transformer-based models, and AI-assisted analytical protocols. His work increasingly bridges evolutionary biology with cancer genomics and precision medicine applications. His scientific achievements have been recognized with the prestigious 2025 George W. Beadle Award from the Genetics Society of America, which honors his "efforts to democratize evolutionary genetics." Dr. Kumar has mentored numerous doctoral candidates, postdoctoral researchers, and graduate students, many of whom have gone on to faculty positions at institutions including Oakland University and universities in Brazil. His lab includes current doctoral candidates working in bioinformatics and statistical molecular evolution, supported by technical staff including programmers, genome tech specialists, and informatics specialists. The Kumar Laboratory operates as an interdisciplinary research hub with multiple projects including MEGA (Molecular Evolutionary Genetics Analysis), TimeTree, myPEG (web-based evolutionary tools), and FlyExpress (a knowledge base for Drosophila melanogaster embryo images). The lab emphasizes green computing efforts aimed at democratizing scientific practice and making big data analytics more accessible.

• Molecular Evolution
• Phylomedicine
• Functional Genomics
• +۵ مورد دیگر

Roles and Affiliations: Rafael J. Yáñez-Muñoz is a Professor of Advanced Therapy and Director of the Centre of Gene and Cell Therapy at the Department of Biological Sciences, Royal Holloway University of London. He holds expertise in gene and cell therapy, particularly for neurodegenerative and inherited diseases such as ataxia telangiectasia and spinal muscular atrophy. Education: BSc and PhD in Biochemistry and Molecular Biology from the Autonomous University of Madrid. Previously held Lecturer positions at King’s College London and University College London. Research Interests: Focuses on developing safer gene therapy methods using episomal vectors and genome editing (e.g., CRISPR-Cas). Key areas include non-integrating lentiviral vectors, viral vector modification, and treatments for rare diseases. His lab (AGCT) explores therapies for spinal muscular atrophy, spinal injury, Parkinson’s disease, and primary immunodeficiencies. Publications and Impact: Over 85 publications, including seminal work on non-integrating lentiviral vectors and gene editing. Notable contributions to Gene Therapy as Editor-in-Chief and leadership roles in the British Society for Gene and Cell Therapy. Grants and Collaborations: Principal Investigator on projects funded by the SMA Trust, BBSRC, MRC, and others. Collaborates with institutions like Genethon (France) and Harvard University. Key initiatives include the UK SMA Research Consortium and CHASE-IT for spinal injury therapy. Awards and Roles: Trustee and Chair of Genetic Alliance UK, President of the British Society for Gene and Cell Therapy (2021–2025). Recognized for advocacy in rare disease awareness and policy, including contributions to the UK National Strategy for Rare Diseases. Advisees and Teams: Supervised numerous PhD students and postdocs, including Sahar Akbari Vala, Melika Fard, and Ellie Chilcott. Active in mentoring and lab management, with a focus on training the next generation of gene therapy researchers. Labs and Outreach: Leads the Advanced Gene and Cell Therapy (AGCT) lab, hosting annual Rare Disease Day events to raise awareness. Engages in public education through lectures, media interviews, and initiatives like the SMA Trust fundraising cycle events.

• Gene Therapy
• Cell Therapy
• Genome Editing
• +۳ مورد دیگر

Christopher J. Lengner is the Harriet Ellison Woodward Professor and Chair of the Department of Biomedical Sciences at the University of Pennsylvania School of Veterinary Medicine. He is a member of the Institute for Regenerative Medicine, NIH P30 Center for Molecular Studies in Digestive and Liver Diseases, and Abramson Cancer Center, with roles in training and research leadership. Education : PhD in Cell and Molecular Biology from the University of Massachusetts Medical School (2004). His research focuses on molecular mechanisms governing stem cell potency and their dysregulation in diseases like cancer and regenerative failure. Using genetic, genomic, and single-cell approaches in murine and human systems, his lab has uncovered novel pathways in intestinal stem cell hierarchy, cancer ontogeny, and therapeutic targeting. Recent publications highlight work in colorectal cancer metastasis (PI3K/AKT, NOTUM inhibition), intestinal regeneration (mTORC1, FLASH radiotherapy), and tumor microenvironment dynamics. Collaborations span human induced pluripotent cells and patient samples. Scientific Awards : Ruth L. Kirschstein Postdoctoral Fellowship He mentors graduate students (Ryan Cedeno, Maryam Yousefi) and leads the Center for Animal Transgenesis. His lab’s integrative studies bridge basic science to translational applications in oncology and regenerative medicine.

• Stem Cell Biology
• Cancer Biology
• Molecular Genetics
• +۳ مورد دیگر