جستجوی استاد راهنمای دانشگاهی

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

Thomas Perlmann is a Professor in Molecular Developmental Biology at the Karolinska Institutet , leading research at the Department of Cell and Molecular Biology and serving as Director of the Stockholm Branch of the Ludwig Institute for Cancer Research. He also holds the position of Secretary General of the Nobel Assembly and Nobel Committee for Physiology or Medicine since 2016. Ph.D. , Karolinska Institutet, 1991 M.Sc. , Stockholm University, 1987 Research Interests : The Perlmann lab investigates the specification and maintenance of dopamine neurons in the central nervous system, with a focus on transcriptional regulation , signaling pathways , and regenerative medicine applications for Parkinson’s disease and other neurodegenerative disorders. His work bridges developmental biology and neuroscience , emphasizing the role of transcription factors in neuronal identity and function. Recent Research Trends : Perlmann’s recent publications highlight the use of single-cell RNA sequencing to dissect dopamine neuron heterogeneity , epigenetic regulation during development, and transcriptomic changes in Parkinson’s disease models. His studies increasingly leverage multiomics and bioinformatics to map neuronal lineage trajectories and gene expression dynamics. Scientific Awards : Royal Medal by HM the King (2025) Nicholson Lecturer, Rockefeller University (2011) Göran Gustafsson Prize in Molecular Biology (1999) Eric K. Fernström Young Investigator Prize (1997) Advising & Collaborations : While no student names are explicitly listed, Perlmann collaborates extensively with researchers such as Malin Parmar , Agnete Kirkeby , and Per Svenningsson on projects related to neuronal development and cell therapy . His lab receives funding from institutions like the Ludwig Institute for Cancer Research . Labs & Teams : The Perlmann Lab at Karolinska Institutet includes researchers like Linda Gillberg , Laura Lahti , and Behzad Yaghmaeian Salmani , who work on mouse models , single-cell transcriptomics , and bioinformatics to study dopamine neuron biology.

• Developmental Biology
• Neurosciences
• Dopamine Neurons
• +۴ مورد دیگر

Calliope Dendrou is an Associate Professor in Clinical Pathology and Inflammation at the Kennedy Institute of Rheumatology (KIR), University of Oxford, leading the Immune Disease Multiomics Laboratory. She previously held a Wellcome & Royal Society Sir Henry Dale Fellowship at the University of Oxford’s Centre for Human Genetics before joining KIR in 2023. Her research focuses on immune disease mechanisms using multiomics approaches, including genomic profiling to identify therapeutic targets across tissues and immune-mediated diseases. She co-leads large-scale projects like the Oxford-J&J Cartography Consortium and the Chan Zuckerberg Initiative’s LEGACY Network, and teaches on the MSc in Genomic Medicine program. Educational Background: BSc (Biology, Imperial College London, 2005; Forbes Memorial Medal Winner); PhD in Infection & Immunity (University of Cambridge, 2010). Postdoctoral training at the Weatherall Institute of Molecular Medicine under Prof. Lars Fugger. Research interests include immunogenetics, cytokine signaling pathways, drug repositioning, and cross-disease pathophysiology. Her work integrates single-cell and spatial transcriptomics to dissect immune-cell interactions in diseases like rheumatoid arthritis, inflammatory bowel disease, and celiac disease. Recent articles highlight her contributions to understanding vaccine adjuvant responses, Th17 cell roles in spondyloarthritis, and immune-epithelial networks in celiac disease. Collaborations emphasize multi-omic data analysis (e.g., Panpipes pipeline) and translational studies toward precision medicine. Awards: Forbes Memorial Medal (BSc), Wellcome & Royal Society Sir Henry Dale Fellowship. Leadership roles include Equality, Diversity, and Inclusion Champion and 'Single-Cell & Spatial Omics for Precision Medicine' Module Lead. Lab & Teams: Immune Disease Multiomics Lab at KIR. Active in collaborative initiatives such as the LEGACY Network, focusing on large-scale immune profiling in ancestrally diverse populations.

• Immunology
• Genomics
• Multiomics Analysis
• +۳ مورد دیگر

Xiaoyu Cai is an Assistant Professor at the Department of Medicine, Loyola University Chicago, specializing in lung regeneration, aging biology, and stem cell plasticity. Her research focuses on the molecular mechanisms governing alveolar type 2 (AT2) stem cell dynamics during aging and chronic lung diseases. Education: Bachelor of Medicine (Peking University, 2012), Master of Science (Peking University, 2015), PhD in Biology of Aging (USC & Buck Institute, 2021) Key Research Areas: Lung regeneration, inflammation resolution, stem cell aging, 3D organoid cultures Methodologies: Single-cell multiome, mouse genetics, multicellular organoid systems Collaborations: Translational partnerships with clinical teams for bench-to-bedside applications Dr. Cai's recent work explores lineage plasticity in aged lung stem cells, ferroptosis suppression via CRISPR screens, and cellular aging atlases across species. She previously held a postdoctoral position at Genentech Inc. and maintains a professional lab website. Contact: xcai2@luc.edu | Office: CTRE 123

• Lung Regeneration
• Inflammation Resolution
• Aging Biology
• +۵ مورد دیگر

Michael Harrison is an Assistant Professor in the Department of Cell and Developmental Biology at Weill Cornell Medicine, where he leads the Regeneration and Development Lab within the Graduate School of Medical Sciences. His research focuses on vascular development and regeneration using zebrafish as a model organism, with emphasis on coronary and cerebral vasculature. Education: B.Sc. in Genetics, University of Edinburgh (2005) Ph.D. in Developmental Genetics, University of Sheffield (mentor: Vincent Cunliffe) Postdoctoral Fellowship, Saban Research Institute, Children’s Hospital Los Angeles (CIRM Fellow) Harrison's research centers on understanding how blood and lymphatic vessels form and regenerate, particularly in the heart and brain. His lab investigates coronary vessel development, the role of lymphatic systems in inflammation and regeneration, and revascularization after injury. By leveraging zebrafish genetics and advanced imaging, his work aims to uncover pathways that could be harnessed for regenerative therapies in humans. His recent publications reveal key signaling mechanisms such as Cxcr4-Cxcl12 in coronary development and the two-step formation of cardiac lymphatics. The 15 most recent articles demonstrate a strong, consistent research trajectory in vascular biology and regeneration, with increasing use of advanced techniques like single-nuclei multiomics, fluidic imaging devices, and CRISPR-based genome editing. His work spans developmental mechanisms, functional imaging, and translational applications in cardiac repair. Scientific Awards: No awards explicitly mentioned in the provided text. Harrison actively mentors a team of postdoctoral fellows, research assistants, and students, several of whom have progressed to medical school or research careers. His lab collaborates extensively, particularly with Ching-Ling Lien's group. He has secured research space and funding to support ongoing projects in cardiac and cerebral vasculature. The lab is actively recruiting rotation students from BCMB, PBSB, IMP, and Tri-Institutional programs, as well as postdoctoral researchers and research assistants, indicating an expanding research team and active grant support. Labs and Teams: Regeneration and Development Lab, Weill Cornell Medicine Collaborations with Ching-Ling Lien Lab Member of Tri-Institutional PhD Programs Active participation in BCMB, PBSB, and IMP training programs

• Vascular Biology
• Regenerative Medicine
• Developmental Biology
• +۱۱ مورد دیگر

Sai Zhang is an Assistant Professor in the Department of Epidemiology at the University of Florida (UF), holding affiliations with the College of Public Health & Health Professions and College of Medicine. He is also an Affiliate Faculty in the J. Crayton Pruitt Family Department of Biomedical Engineering at the Herbert Wertheim College of Engineering. Previously, he was an Instructor at Stanford University School of Medicine and a Research Associate at the VA Palo Alto Epidemiology Research and Information Center (ERIC). Dr. Zhang completed his Ph.D. in Computer Science and Technology at Tsinghua University, followed by postdoctoral training in Dr. Michael Snyder’s lab at Stanford Genetics. His research integrates machine learning, genomics, and precision medicine to uncover genomic bases of complex diseases. Key focuses include developing algorithms for multiomic data analysis, modeling genotype-phenotype relationships, and leveraging deep learning for biological sequence analysis. His work emphasizes cell-type-specific mechanisms in diseases like ALS, coronary artery disease, and neurodegenerative disorders. Notable contributions include frameworks for polygenic risk scoring (e.g., PRS-Net), biomarker discovery for ALS, and tools for time-to-event prediction in neurological diseases. He leads the Zhang Laboratory, advancing computational systems for precision health applications.

• Machine Learning
• Genomics
• Precision Medicine
• +۵ 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

Barbara Smith is an Associate Professor at Arizona State University’s School of Biological and Health Systems Engineering. She joined ASU in January 2015 and leads the Smith Laboratory, focusing on photoacoustic imaging technologies and multiomic biomarker discovery for women’s health and mental illness applications. Her work bridges biomedical engineering and clinical diagnostics, with recent publications and patents advancing early-stage detection and point-of-care analysis. Postdoctoral Research Fellow, Harvard University Ph.D. in Biomedical Engineering, Colorado State University B.Sc. in Industrial Engineering, Michigan State University The Smith Laboratory specializes in developing novel photoacoustic and ultrasound imaging systems to study single-cell behavior and neural networks, aiming to improve cancer diagnosis and monitoring of mental health conditions. Collaborations with clinics have enabled patient sample analysis for multiomic biomarker identification. Scientific Awards: Centennial Professorship Award Arizona Biomedical Research Consortium Early Stage Investigator Award Women and Philanthropy Award National Science Foundation ICorps Award Her lab has submitted seven patents, and she has taught courses in bioengineering product design and directed research for advanced degree candidates. Barbara Smith’s research aligns with expertise in bioimaging, neuroimaging, and biotechnology.

• Photoacoustic Imaging
• Multiomic Biomarker Discovery
• Bioimaging
• +۶ مورد دیگر

Maria Golson, PhD, is an Assistant Professor of Medicine in the Division of Endocrinology, Obesity and Metabolism at the Johns Hopkins School of Medicine. She joined the institution in 2020 and leads research focused on the intrinsic and extrinsic regulation of beta-cell function and insulin secretion. Her work is central to understanding pancreatic endocrine cell development and its implications in diabetes. Education: B.S. in Biology (Genetics concentration), Duke University, 2000 Ph.D. in Cell and Molecular Biology (Genetics and Gene Regulation), University of Pennsylvania, 2008 Postdoctoral Training, Vanderbilt University Dr. Golson's research spans molecular mechanisms of beta-cell function, epigenetic regulation in diabetes, and single-cell analysis of pancreatic islets. She employs advanced genomic and epigenomic tools to explore cellular states in both type 1 and type 2 diabetes, with a focus on identifying pathways that could be targeted for regeneration or functional enhancement of insulin-producing cells. Her recent publications, appearing in journals such as Nature Metabolism and Diabetes , reflect a strong trend toward multiomics and single-cell technologies to uncover novel cellular states in human islets. These studies integrate transcriptomics, epigenetics, and functional validation to dissect disease mechanisms. Dr. Golson has been supported by institutional affiliations and collaborations, including membership in the HPAP Consortium and the American Diabetes Association. While no formal awards are listed, her publication record indicates significant scientific contributions. She has mentored researchers through collaborative projects, though no formal advisees are named. Her lab engages in interdisciplinary research involving genetics, molecular biology, and bioinformatics to advance diabetes therapeutics.

• Endocrinology
• Beta-cell Function
• Insulin Secretion
• +۶ مورد دیگر

Olga G. Troyanskaya is a Professor of Computer Science and the Lewis-Sigler Institute for Integrative Genomics at Princeton University. She serves as Deputy Director for Genomics at the Simons Center for Data Analysis, Simons Foundation, NYC. Her research focuses on computational biology, integrating diverse high-throughput genomic datasets to model molecular pathways in health and disease. Professor of Computer Science and Lewis-Sigler Institute for Integrative Genomics Deputy Director for Genomics, Simons Center for Data Analysis Research Interests: Troyanskaya’s work addresses challenges in bioinformatics, including algorithm development for gene expression analysis, regulatory network modeling, and disease mechanism interpretation. She combines computational methods with experimental validation using S. cerevisiae as a model organism. Scientific Trends: Recent publications emphasize single-cell multiomics, deep learning for transcriptional regulation, cancer immunotherapy design, and epigenomic analysis of immune responses. Key themes include computational modeling of genetic networks, disease-specific pathway analysis, and high-resolution omics frameworks. Collaborative roles in autism, Alzheimer’s, kidney disease, and cancer research Developed tools like HumanBase for data-driven predictions

• Bioinformatics
• Computational Genomics
• Machine Learning in Biology
• +۶ مورد دیگر

Zhandong Liu is an Associate Professor at Baylor College of Medicine with joint appointments in the Department of Pediatrics and Department of Neurology . He serves as Chief of Computational Sciences at Texas Children's Hospital and co-directs the Quantitative & Computational Biosciences Graduate Program at Baylor. Education: B.S. in Computer Science, Nankai University (2001) M.S. in Computer Science, Wayne State University (2003) Ph.D. in Genomics and Computational Biology, University of Pennsylvania (2010) Dr. Liu's research integrates genomics , machine learning , and bioinformatics to advance understanding of neurological diseases. His work focuses on: Multi-omics data integration for disease mechanism discovery Development of cloud-based CRISPR analysis tools like CRISPRcloud Augmented reality platforms for biomedical data visualization Identification of disease genes through computational models Alternative splicing analysis in cancer and neurodegeneration Single-cell and spatial transcriptomics algorithms His recent publications emphasize Alzheimer's disease , MECP2 syndromes , and computational therapy prediction across multiple domains. Scientific awards include the 2018 Outstanding Service Award from the International Association for Intelligent Biology and Medicine. He has secured major grants from NIH, CPRIT, and NSF for projects including: NSF grant #199977 (2018-2020): Augmented reality therapy platforms CPRIT grant #RP170387 (2016-2019): Network-guided cancer analysis NIH #1R01AG057339 (2017-2022): Alzheimer's disease networks As head of the Liu Lab , he leads teams developing tools like: MARRVEL : Human-model organism gene variant integration CRISPRcloud : Secure CRISPR screen analysis platform CrypSplice : Cryptic splicing detection algorithm

• Bioinformatics
• Big Data analysis
• Machine Learning
• +۵ مورد دیگر

Kushal Dey serves as an Assistant Professor in the Computational and Systems Biology Program at Memorial Sloan Kettering Cancer Center (MSKCC), part of the Graduate School of Medical Sciences in partnership with Weill Cornell Medicine. His research integrates statistical and machine learning approaches with genomic data to understand the regulatory architecture of complex diseases. Dr. Dey's research focuses on developing computational methods that integrate human disease genetics with functional genomics data. His work spans immune-related diseases including Alzheimer's and inflammatory bowel disease, as well as heritable cancers like breast and prostate cancer. His lab develops models to prioritize variants, genes, and cell states for disease using genetic, genomic, and perturbation data, with emphasis on causal directed graphs and benchmarking pipelines informed by disease genetics. His recent publications highlight expertise in GWAS, colocalization, spatial transcriptomics, Perturb-seq, and RNA+ATAC multiome analysis. His work frequently appears in top journals like Nature Genetics, with a focus on single-cell multi-omics approaches to understand disease mechanisms at cellular resolution. Scientific Awards: Josie Robertson Investigator (2023–2028) K99/R00 Pathway to Independence Award (NIH/NHGRI) (2022–2026) NIH/NHGRI Early Stage Investigator R01 (2025-2030) NCI P30 CCSG supplement – 'LLMs in cancer research' (2023-2024) Catalog Working Group Co-chair + Disease Focus Group Lead: IGVF consortium (2023-) Dr. Dey mentors several graduate students through the Weill Cornell Graduate School (WGS), including Thahmina Ali, Pretty Garcia, Karthik Guruvayurappan, Louis Liu, Sarthak Tiwari, Berk Turhan, and Harry Zhang. His lab has received multiple grants including the AWS IMAGINE Grant Children's Health Innovation Award 2024-2025 (as Project Co-lead) and PSRP Developmental Funds Awards (2025: Co-lead). The lab actively collaborates with consortia including ENCODE, ADSP, MorPhiC, and IGVF, maintaining strong ties with Columbia University, Stanford University, and Harvard T.H.Chan School of Public Health. The Kushal Dey Lab is part of the vibrant Tri-Institutional Research campus adjacent to Rockefeller University and Weill Cornell Medical College, offering a collaborative environment focused on computational genomics and disease mechanisms.

• Statistical Genetics
• Machine Learning in Genomics
• Functional Genomics
• +۵ مورد دیگر

Steven M. Dubinett is a distinguished academic leader at the University of California Los Angeles (UCLA), serving as Dean of the School of Medicine and holding professorships in Medicine, Pathology and Laboratory Medicine, and Molecular and Medical Pharmacology. His work is deeply integrated with key research centers including the UCLA Jonsson Comprehensive Cancer Center and the UCLA Clinical and Translational Science Institute, where he drives innovation in lung cancer research and translational medicine. Dubinett earned his medical degree from Rutgers New Jersey Medical School in 1980, followed by an internship and residency in Internal Medicine at University Hospital and UCLA. He completed specialized fellowships in Pulmonary Medicine at Massachusetts General Hospital and in Tumor Immunology at Harvard Medical School, establishing the foundation for his career at the intersection of pulmonary medicine and cancer research. Dr. Dubinett's research program is centered on the pathogenesis of lung cancer, with particular emphasis on translational approaches to understanding immunobiology, tumor microenvironment dynamics, and mechanisms of epithelial-mesenchymal transition in human non-small cell lung cancer. His laboratory has made seminal contributions to understanding how chronic inflammation drives lung carcinogenesis and how these insights can be translated into novel therapeutic strategies. His work bridges molecular mechanisms with clinical applications, focusing on identifying targets for lung cancer interception and prevention. Analysis of Dr. Dubinett's recent publications (2023-2025) reveals a sophisticated integration of multi-omics approaches with spatial analysis to understand lung adenocarcinoma evolution. His research increasingly focuses on tumor heterogeneity, immune microenvironment characterization, and innovative immunotherapeutic approaches including dendritic cell vaccines and engineered immune cells. A significant portion of his work addresses mechanisms of immunotherapy resistance and strategies to overcome it through combination approaches. Among his numerous accolades, Dr. Dubinett received the prestigious William S. Middleton Award from the U.S. Department of Veterans Affairs in 2019, the American Thoracic Society Recognition Award for Scientific Accomplishments in 2008, and the Stanley Blatt Award for Lung Cancer Research in 1999. His work has been consistently recognized by the American Lung Association through multiple awards spanning his career. Dr. Dubinett has secured substantial research funding throughout his career, including NIH grants and institutional support that has enabled his team to pursue cutting-edge approaches to lung cancer diagnosis and treatment. His leadership extends to national advisory roles, including chairing the FDA Cellular, Tissue and Gene Therapies Advisory Committee, and representing UCLA in international research collaborations with the Chinese Academy of Sciences. He has mentored numerous physician-scientists who have gone on to establish their own research programs in oncology and pulmonary medicine. Dr. Dubinett leads a multidisciplinary research team within the UCLA Jonsson Comprehensive Cancer Center focused on translating basic discoveries into clinical applications. His laboratory employs advanced techniques in molecular biology, immunology, and systems biology to investigate the molecular mechanisms of lung cancer development and progression. Current research directions include developing non-invasive diagnostic approaches using liquid biopsies, understanding the evolution of premalignant lesions, and developing novel immunotherapeutic strategies to enhance T-cell responses against lung cancer.

• Lung Cancer Research
• Translational Medicine
• Immunobiology
• +۵ مورد دیگر

Jiangwen Sun is an Assistant Professor in the Department of Computer Science at Old Dominion University (ODU), within the College of Science. He directs the ODU Computational Systems Medicine Lab and focuses on machine learning approaches for analyzing multi-dimensional biological data (phenome, genome, transcriptome, etc.) to advance precision medicine and its automation. His research is supported by ODU and federal agencies like NIH and NSF. Education: Ph.D., University of Connecticut M.E., Nanjing University, China B.M., Secondary Military Medical University, China Research Interests: Machine learning/data mining for medicine, health, drug discovery, and bioinformatics Multi-view bi-clustering and integrative analysis of genomic/phenotypic data Phenotype refinement and genetic association studies for complex diseases Applications in addiction medicine, cardiovascular biology, and bovine development Publications: Over 40 peer-reviewed articles in top venues like NIPS, ICML, Bioinformatics, and BMC Genomics. Recent work focuses on cryo-EM protein structure analysis, single-cell multiomics, and epigenetic modeling. Awards/Grants: NIH/NSF funding pending; previously supported by UConn's Health Informatics Lab and collaborations with University of Pennsylvania. Teaching: Courses include Machine Learning (CS722/822), Data Structures (CS361), and Deep Learning in Medicine (CS795/895). Labs/Teams: Leads the ODU Computational Systems Medicine Lab and collaborates with UConn Health Informatics Lab, Penn Medicine, and others.

• Machine Learning
• Data Mining
• Medicine
• +۶ مورد دیگر

Yulong Wei is a Researcher in the Department of Microbial Pathogenesis at Yale School of Medicine. His work focuses on understanding viral persistence mechanisms, particularly in HIV-1 and SARS-CoV-2, using cutting-edge genomic and immunological approaches. He explores how host cellular environments influence viral integration, reservoir formation, and immune evasion. Research interests include: HIV reservoir dynamics and latency mechanisms Host-pathogen interactions in viral persistence Single-cell multiomics analysis of viral infections Antiviral drug discovery and repurposing Ribosomal adaptation and translation mechanisms in bacteria Recent work highlights his contributions to understanding how interferon signaling and chromatin structure affect HIV integration sites, as well as computational studies of griseofulvin's potential in combating SARS-CoV-2. He has also investigated evolutionary genomic signatures in microbes related to translation efficiency and environmental adaptation. His lab is part of the Yale School of Medicine's broader efforts in microbial pathogenesis and infectious disease research, with a focus on translational applications for persistent viral infections.

• HIV Research
• Virology
• Immunology
• +۳ مورد دیگر