جست‌وجوی استاد و پژوهشگر

• Immunology
• Innate Immunity
• Inflammasome Signaling
• +۴ مورد دیگر

Fiachra Emanuel Humphries , PhD, is an Assistant Professor at UMass Chan Medical School within the T.H. Chan School of Medicine and the Morningside Graduate School of Biomedical Sciences . His primary affiliations include the Division of Innate Immunity and cross-appointment in multiple graduate programs. BS in Biotechnology, National University of Ireland, Maynooth PhD in Immunology, National University of Ireland, Maynooth Research Focus : Innate immune signaling pathways, particularly cGAS-STING axis , inflammasome regulation , and RNA-protein condensates in viral and inflammatory diseases. His work bridges molecular mechanisms with therapeutic development for COVID-19 and autoinflammatory syndromes . Recent Publications highlight discoveries in: Gasdermin D inactivation mechanisms STING oligomerization inhibitors Intestinal immune homeostasis regulation SARS-CoV-2 restriction strategies Networks include collaborations with Katherine Fitzgerald, Paul Thompson, and Scott Shaffer. Key research concepts span Inflammasomes , Interferon Type I , and Phosphate-Binding Proteins .

Audrey Fuمشاهده پروفایل

دانشیار

• Statistical methods for genomics
• Machine learning algorithms
• Causal network inference
• +۷ مورد دیگر

Audrey Fu is an Associate Professor of Family Medicine and Public Health Sciences and of Molecular Medicine and Genetics at Wayne State University School of Medicine, located at Scott Hall, 540 E. Canfield Street, Detroit, MI 48201. Her interdisciplinary work bridges computational methods with biomedical applications, particularly in genomics and medical imaging fields. Her educational background includes a PhD from the University of Washington (2008), followed by postdoctoral training at the University of Chicago (2008-2014) and a Visiting Postdoctoral Scholar position at Stanford University (2014-2015). This strong foundation in statistics and computational biology has enabled her to develop innovative approaches to complex biomedical data analysis. Dr. Fu specializes in developing statistical methods and algorithms for analyzing high-dimensional biomedical data, with particular expertise in causal network inference using Mendelian randomization, deep learning for single-cell RNA-sequencing data, and methods for identifying disease-relevant cell types through integration of genomic data. Her research group actively practices open science, distributing open-source software packages in R and Python through GitHub and CRAN. Her publication record reveals a clear progression from fundamental statistical methodology development toward increasingly translational biomedical applications. While her earlier work focused on DNA methylation patterns, statistical inference of gene expression noise, and Bayesian clustering methods, her recent publications demonstrate expansion into medical imaging analysis, particularly in space medicine applications and neurological conditions like Chiari malformation. This evolution shows her ability to adapt statistical frameworks to address diverse biomedical challenges. NIH Pathway to Independence Award (K99/R00; 2014-2019) International Society for Bayesian Analysis Travel Award (2010) Dorothy and Leon Gilford Fellowship, Department of Statistics, University of Washington (2003) Dr. Fu is currently accepting new M.S. students for 2025-2026 but not new Ph.D. students. Her NIH K99/R00 award indicates successful transition from postdoctoral research to independent investigator status. Her lab develops multiple open-source software packages including MethylHMM, MRPC, LATE, and rolypoly, reflecting her commitment to making computational tools accessible to the broader research community. Her collaborative work spans multiple institutions and disciplines, from basic molecular biology to clinical applications in ophthalmology and neurosurgery.

Rafet Al-Tobaseiمشاهده پروفایل

دانشیار

• Bioinformatics
• Aquaculture Genetics
• RNA Sequencing
• +۵ مورد دیگر

Dr. Rafet Al-Tobasei serves as an Associate Professor in the Department of Computer Science at Middle Tennessee State University (MTSU), where he applies computational methodologies to solve complex biological problems in aquaculture species. His research bridges computer science and genomics to address critical challenges in fisheries science and genetic improvement programs. His academic credentials include: Ph.D. in Computer Science, Middle Tennessee State University (2017) M.A. in Computer Science, Middle Tennessee State University (2011) M.S. in Computer Science, Middle Tennessee State University (2011) B.S. in Computer Science, Tennessee State University (2007) Dr. Al-Tobasei's research program focuses on developing and implementing bioinformatics tools for aquaculture genomics, with particular emphasis on rainbow trout and Nile tilapia. His expertise spans RNA sequencing analysis, Genome-Wide Association Studies (GWAS), Single Nucleotide Polymorphism (SNP) discovery, Long non-coding RNA (lncRNA) characterization, DNA methylation profiling, and Chromatin Immunoprecipitation Sequencing (ChIP-Seq) data interpretation. He investigates molecular mechanisms underlying economically important traits including muscle growth, fillet quality, disease resistance, and stress response. Analysis of his publication record reveals consistent thematic progression in aquaculture genomics: early work established foundational genomic resources for rainbow trout, followed by sophisticated GWAS applications for trait mapping, and recent integration of multi-omics approaches (transcriptomics, epigenomics, and lipidomics). His research increasingly emphasizes practical breeding applications, with significant contributions to genomic selection methodologies using reduced-density SNP panels and advanced statistical models. While specific awards and grants aren't documented in the source material, his extensive publication record in high-impact journals like BMC Genomics and Scientific Reports demonstrates substantial scholarly impact. His collaborative network spans multiple institutions and includes frequent co-authorship with leading aquaculture geneticists, indicating active participation in the research community and likely involvement in mentoring graduate students through research projects.

Ryan O'Connellمشاهده پروفایل

استاد

• Noncoding RNAs
• Inflammation
• Cancer
• +۳ مورد دیگر

Ryan O'Connell is a Professor in the Department of Pathology at the University of Utah and Chief of Microbiology and Immunology. His research laboratory is located at the Huntsman Cancer Institute. He also serves as Co-Director of the Immunology, Inflammation and Infectious Disease (3i) Initiative, Associate Chief of the Microbiology and Immunology Division, and Program Co-Director of the Neuroimmunology Training Grant. Education: B.S. California Lutheran University Ph.D. University of California, Los Angeles Research Interests: Dr. O'Connell's research focuses on the roles of microRNAs (miRNAs) in regulating both physiological and pathological immune cell functions in mammals, with an emphasis on inflammation and cancer. His laboratory is currently investigating: Communication between the mammalian host and gut microbiota via extracellular vesicles and their RNA cargo during inflammatory bowel disease (IBD) and colorectal cancer (CRC) The role of miRNAs in coordinating antitumor and immunotherapeutic responses to gastrointestinal (GI) and blood cancers Development and mechanistic study of mRNA vaccines to induce immunity against GI and blood cancers Interplay between miRNAs and cellular metabolism during age-related inflammation and cancer Publications: Dr. O'Connell has published over 100 high-impact primary research manuscripts and review articles. His recent work spans diverse areas including cancer immunotherapy, microbiota interactions, metabolic regulation in immune cells, and the development of bioinformatics tools for cancer genomics. Leadership and Mentorship: He has mentored 14 graduate students (including 4 MD/PhD students) and 6 postdoctoral scholars, many of whom have advanced to positions in academia and industry. His leadership roles include directing major initiatives in immunology and inflammation research at the University of Utah.

Matthieu Defranceمشاهده پروفایل

دانشیار

• Gene Regulation
• Epigenetics
• Epigenomics
• +۶ مورد دیگر

Matthieu Defrance is an Associate Professor in the Computer Science Department at Université Libre de Bruxelles (ULB), Belgium, a position he has held since October 2016. Prior to this, he worked as a PostDoc at ULB's Laboratory of Cancer Epigenetics from May 2010 to September 2016. Dr. Defrance's research bridges computer science with biological sciences, focusing on computational methods for analyzing complex biological data. His work spans epigenetics, genomics, and algorithm development for biological applications. His primary research interests include: Gene Regulation and Chromatin Biology Epigenetics and Epigenomics DNA Methylation analysis Computational Statistics for biological data Algorithm Development for genomic applications Next Generation Sequencing data analysis Dr. Defrance's publication record demonstrates a strong interdisciplinary approach, with recent work focusing on improving DNA methylation analysis techniques, developing novel bioinformatics tools like RedRibbon for gene expression signature comparison, and applying these methods to understand diseases like diabetes and cancer. His research shows consistent innovation in computational biology, with publications spanning from method development to biological applications across diverse fields including diabetes genetics, cancer epigenetics, and evolutionary adaptations in desert ants. With 61 publications and nearly 5,000 citations, Dr. Defrance has established himself as a significant contributor to computational biology and epigenetics research.

Pedro Abranches De Carvalhoمشاهده پروفایل

پژوهشگر

• Machine Learning
• Bioinformatics
• Neural Engineering
• +۳ مورد دیگر

Pedro Abranches De Carvalho is a Doctoral Assistant at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with Prof. Courtine's research group and the Laboratory for Information and Inference Systems (LIONS). He is also enrolled in the Doctoral Program in Electrical Engineering at EPFL. His work spans interdisciplinary research areas, including machine learning, bioinformatics, and computational biology. He holds multiple roles at EPFL: Doctoral Assistant at the UPCOURTINE group (School of Computer and Communication Sciences) Doctoral Assistant at LIONS lab (School of Engineering) Doctoral Student in Electrical Engineering (EDOC program) His research interests focus on applying computational methods to biological systems, such as geometric graph generation using GANs, redox signaling mechanisms, and noncoding RNA roles in leukemia. While no specific grants or awards are mentioned, his work bridges neural engineering and biochemistry. He is part of the Courtine Lab and LIONS, which likely involve collaborations in neural signal processing and machine learning applications in life sciences.

Christopher W. Cowanمشاهده پروفایل

استاد

• Molecular neurobiology
• Developmental brain wiring
• Autism spectrum disorders
• +۵ مورد دیگر

Dr. Christopher W. Cowan is Professor and Chair of the Department of Neuroscience at the Medical University of South Carolina (MUSC) College of Medicine. He holds the William E. Murray SmartState Endowed Chair in Neuroscience and serves as Director of the NIH-funded Center of Biomedical Research Excellence (COBRE) in Neurodevelopment and Its Disorders (CNDD), as well as Scientific Director of the NIDA-funded Charleston Opioid Center on Addiction (COCA). Dr. Cowan is also co-founder of NeuroEpigenix, LLC, a company developing novel therapeutics for alcohol use disorder. Dr. Cowan earned his BA from Wesleyan University and his PhD in Cell and Molecular Biology from Baylor College of Medicine. He completed postdoctoral training at Harvard Medical School and Boston Children's Hospital. Prior to joining MUSC in 2016, he was an Assistant Professor of Psychiatry at UT Southwestern Medical School and Associate Professor of Psychiatry at Harvard Medical School and McLean Hospital. His research focuses on molecular mechanisms of developmental brain wiring, syndromic forms of autism spectrum disorder, and epigenetic mechanisms underlying relapse behavior in substance use disorders. The Cowan Laboratory (Integrative Neurobiology Lab) employs a multidisciplinary approach including genomics, cell and molecular biology, biochemistry, electrophysiology, and complex behavioral analyses to study substance/alcohol use disorders and neurodevelopmental disorders. The lab investigates how illicit substances hijack brain function and examines genes linked to autism spectrum disorders, intellectual disability, and schizophrenia. Analysis of recent publications shows consistent focus on transcription factors (NPAS4, MEF2C), epigenetic mechanisms in addiction, neural circuit adaptations, and molecular pathways in neurodevelopmental disorders. His work spans basic molecular neuroscience to translational applications, with emphasis on identifying novel therapeutic targets for mental health conditions. Dr. Cowan has received significant research funding through NIH mechanisms including P20 COBRE and P50 Center grants. His leadership extends to directing major research centers focused on neurodevelopmental disorders and opioid addiction. He maintains an active laboratory with numerous postdoctoral fellows, graduate students, and research staff. The Cowan Lab has trained numerous PhD students, postdocs, and MD/PhD candidates who have gone on to successful careers in academia and industry. The lab's work has contributed significantly to understanding the molecular basis of addiction and neurodevelopmental disorders.

Stephen Ramseyمشاهده پروفایل

دانشیار

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +۶ مورد دیگر

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

• RNA Biology
• Neurodegenerative Diseases
• Neuronal mRNA Translation
• +۵ مورد دیگر

Junjie Guo is an Associate Professor of Neuroscience at Yale School of Medicine, leading the Guo Lab focused on RNA biology and neurological mechanisms. He holds affiliations with the Interdepartmental Neuroscience Program, Center for RNA Science and Medicine, and Wu Tsai Institute. Education : B.A. in Biology (Peking University, 2006), Ph.D. in Neuroscience (Johns Hopkins University, 2011), Postdoctoral Fellow at Whitehead Institute/MIT (2017). Research Interests : Investigates RNA dysregulation in neurodegenerative diseases (e.g., ALS/FTD), noncanonical mRNA translation in neuronal development, and spatial/temporal regulation of neuronal mRNA transport and local translation. Utilizes genomic, molecular, and computational approaches in stem cells, neuronal models, and mouse models. Recent Article Trends : Focuses on SARS-CoV-2 replication mechanisms, RNA structural biology (e.g., G-quadruplexes and tandem repeats), and translational control pathways. Highlights include CRISPR-based screens for viral dependency factors and discovery of alternative translation initiation roles in synaptic organizers. Awards : McKnight Neurobiology of Brain Disorders Award (2023), NYSCF-Robertson Neuroscience Investigator (2021), NIH New Innovator Award (2018), and multiple fellowships from the Klingenstein-Simons and Damon Runyon Foundations. Advising & Grants : Mentors postdocs (e.g., Zhen Lei), graduate students (e.g., Ata Isiktas), and others. Leads NIH-funded projects on RNA biology and neurological disorders. Collaborates with researchers like Marina Picciotto and Craig Wilen. Labs/Teams : Directs the Guo Lab, part of the Yale Neuroscience community. Engages in interdisciplinary initiatives through the Wu Tsai Institute and Center for RNA Science and Medicine.

Laurie A. Boyerمشاهده پروفایل

استاد

• Developmental Biology
• Cardiovascular Biology
• Chromatin Remodeling
• +۴ مورد دیگر

Laurie A. Boyer is a Professor of Biology and Biological Engineering at the Massachusetts Institute of Technology (MIT), affiliated with the Koch Biology Building. She serves as Co-Undergraduate Officer and leads research on gene regulatory mechanisms in heart development and regeneration using embryonic stem cells and mouse models. Her work integrates genomic, genetic, biochemical, and cell biological approaches to understand chromatin dynamics and lineage commitment, with applications in cardiac tissue engineering and regeneration. Education: PhD, 2001, University of Massachusetts Medical School BS, 1990, Biomedical Science, Framingham State University Research Interests: Dr. Boyer’s research focuses on the interplay between chromatin remodeling, epigenetic regulation, and transcriptional networks that drive heart development. She investigates how ATP-dependent chromatin remodelers influence lineage specification and explores methods to stimulate cardiac regeneration. Her lab combines advanced genomic techniques with tissue engineering to model 3D cardiac architecture, aiming to uncover regulatory circuits underlying normal and diseased heart development. Publications: Her recent work includes breakthroughs in high-throughput expansion microscopy for scalable super-resolution imaging, metabolic modulation of mesenchymal stem cells for cartilage repair, and the role of long noncoding RNAs like Braveheart in cardiovascular lineage commitment. These studies span molecular mechanisms of chromatin dynamics to translational applications in regenerative medicine. Awards & Honors: Pew Scholars Award in the Biomedical Sciences (2008) Smith Family Award for Excellence in Biomedical Science (2009) Scientific American World’s 50 Top Leaders in Research (2006) Irvin and Helen Sizer Career Development Award (2012) Grants & Collaborations: Dr. Boyer oversees grants from organizations like the NIH and American Heart Association. She collaborates with teams on interdisciplinary projects, including tissue engineering and stem cell therapies. Her lab also develops innovative microscopy techniques to advance cellular imaging scalability. Labs & Teams: Her laboratory at MIT’s Koch Institute integrates computational biology, bioengineering, and molecular biology. The lab focuses on translating fundamental discoveries into clinical applications for heart disease and regeneration.

Spilianakis Charalamposمشاهده پروفایل

دانشیار

• 3D Epigenetics
• Genome Architecture
• Chromosomal Interactions
• +۵ مورد دیگر

Charalampos Spilianakis is an Associate Professor at the University of Crete with a research affiliation at the Institute of Molecular Biology and Biotechnology (IMBB) of the Foundation for Research and Technology - Hellas (FORTH). His work focuses on the three-dimensional organization of the genome and its critical role in gene regulation within immune cells, particularly T cells. Dr. Spilianakis earned his PhD in 2003 from the University of Crete in Biochemistry, Molecular Biology, Cellular and Developmental Biology. His academic career has been dedicated to understanding how nuclear architecture influences cellular function and gene expression patterns. His research program investigates both cis and trans regulatory mechanisms of gene expression, with particular emphasis on how protein complexes generate and maintain long-range chromosomal interactions in immune cell populations. His laboratory employs an integrated approach combining biocomputing, molecular techniques, biochemical assays, advanced imaging, and genetic analyses to explore the field of 3D epigenetics. This work has significant implications for understanding immune cell differentiation and function. Analysis of Dr. Spilianakis' publication record reveals a consistent research trajectory focused on chromatin architecture and transcriptional regulation in immune cells. His contributions include developing protocols for chromosome conformation capture in primary T cells, elucidating SATB1's role in shaping the 3D enhancer network during T cell development, and investigating the nuclear periphery's role in microRNA gene localization. His work bridges molecular biology, immunology, and genomics to advance spatial genomics understanding. Based at IMBB-FORTH (Office A251, Lab A204), Dr. Spilianakis leads a research group that serves as an important hub for investigating the relationship between nuclear architecture and gene expression in the immune system. His laboratory combines cutting-edge molecular and imaging technologies to address fundamental questions about genome organization and its functional consequences in health and disease.

Joan Steitzمشاهده پروفایل

استاد

• RNA Processing
• Molecular Biophysics
• Biochemistry
• +۳ مورد دیگر

Joan Steitz is the Sterling Professor of Molecular Biophysics and Biochemistry at Yale University and an Investigator at the Howard Hughes Medical Institute. She holds affiliations with the Yale School of Medicine, the Center for RNA Science and Medicine, and the Yale Cancer Center. Her career includes roles such as Department Chair and leadership in organizations like the American Society for Cell Biology. Education: PhD in Biochemistry from Harvard University (1967); BS from Antioch College (1963). Postdoctoral training at the MRC Laboratory of Molecular Biology, Cambridge. Research focuses on RNA-protein complexes, particularly snRNPs and their roles in RNA processing, viral oncogenesis, and gene expression. Notable discoveries include defining mRNA splicing mechanisms and characterizing noncoding RNAs in herpesviruses. Publications highlight advancements in RNA biology, viral RNA interactions, and stress-induced transcription. Over 300 peer-reviewed articles span molecular biology, virology, and biochemistry. Awards include the Wolf Prize (2021), Lasker Award (2018), and membership in the National Academy of Sciences (1983). Her lab at Yale explores RNA structure-function relationships and viral RNA mechanisms.

Peter Wrightمشاهده پروفایل

استاد

• Protein Structure and Dynamics
• Nuclear Magnetic Resonance (NMR) Spectroscopy
• Intrinsically Disordered Proteins
• +۳ مورد دیگر

Peter Wright, PhD, is a Professor in the Department of Integrative Structural and Computational Biology at The Scripps Research Institute (TSRI). He holds the Cecil H. and Ida M. Green Investigator endowed chair. Wright’s research focuses on protein structure, dynamics, and interactions using techniques like NMR spectroscopy. His work emphasizes intrinsically disordered proteins, protein folding/misfolding mechanisms, and amyloid aggregation. He has pioneered studies on transthyretin aggregation linked to amyloid diseases and the dynamics of enzymes like dihydrofolate reductase. Education: B.S., M.S., and Ph.D. in Chemistry from the University of Auckland (1968–1972). Postdoctoral training at the University of Oxford (1972–1976). Professional roles include Chair of TSRI’s Department of Molecular Biology (1987–2012) and leadership in collaborative projects with Ashok Deniz (single-molecule FRET) and Ian Wilson (X-ray crystallography). Research interests span intrinsically disordered proteins’ roles in cellular signaling, zinc finger nucleic acid recognition, and protein dynamics. His lab combines NMR, X-ray crystallography, and computational methods. Awards include the NIH Merit Award, National Academy of Sciences membership, and multiple honorary doctorates. Key grants include NIH funding for amyloidosis research. His lab’s innovations include intein labeling technologies and NMR relaxation dispersion techniques to study protein excited states. Collaborations include work on muscleblind RNA recognition and Kaiso DNA binding mechanisms.

Jussi Taipaleمشاهده پروفایل

استاد

• Gene regulation
• Transcription factors
• Systems biology
• +۴ مورد دیگر

Jussi Taipale is a Professor of Medical Systems Biology at Karolinska Institutet and holds professorships at University of Helsinki. His research focuses on transcription factor binding mechanisms , cancer genomics , and gene regulatory networks . The interdisciplinary Taipale Lab operates across three international locations: Wellcome Sanger Institute (UK), Karolinska Institutet (Sweden), and University of Helsinki (Finland), with over 20 members including senior scientists, postdoctoral fellows, and graduate students. Ph.D., University of Helsinki (1996) Postdoctoral training: University of Helsinki, Johns Hopkins University Research spans transcription factor cooperativity , epigenetic regulation , chromatin accessibility , and noncoding mutation analysis . Key methodologies include HT-SELEX , CUT&RUN , ATI assays , and CRISPR-based functional genomics . The lab has significantly advanced understanding of Myc-driven oncogenesis , TF-nucleosome interactions , and dinucleotide specificity mechanisms . Notable discoveries include chromatin context-dependent enhancers , water-mediated DNA recognition , and novel composite transcription factor motifs . The group maintains active collaborations across Europe and has trained numerous alumni now leading academic and industry positions worldwide.

Kirk W. Deitschمشاهده پروفایل

استاد

• Malaria Biology
• Plasmodium falciparum Pathogenesis
• Gene Regulation
• +۵ مورد دیگر

Kirk W. Deitsch is a Professor of Microbiology and Immunology at Weill Cornell Medicine , where he leads research on Plasmodium falciparum pathogenesis. His work focuses on gene regulation and antigenic variation through the var gene family, which enables immune evasion by malaria parasites. Department of Microbiology and Immunology, Weill Cornell Medicine Research spans molecular mechanisms of var gene switching and immune avoidance Investigates genome plasticity via DNA repair and telomere dynamics His laboratory explores how chromatin structure and DNA double-strand break repair contribute to antigenic diversity. Recent studies highlight the role of transcriptional plasticity and epigenetic memory in malaria pathogenesis. Key findings include insights into mitotic recombination and environmental sensing for immune evasion. Notable article trends include: 2025 work on scRNA-seq for var gene plasticity 2024 analysis of var gene evolutionary importance 2023 studies on sexual differentiation epigenetics and environmental response 2022 reviews of antigenic variation mechanisms 2021 investigations into telomere dynamics His research team has secured multiple National Institute of Allergy & Infectious Diseases grants to study transcriptional switching networks and genome diversification. The lab also examines Plasmodium -host interactions and applications of CRISPR-Cas9 in malaria genetics.