جست‌وجوی استاد و پژوهشگر

• Genetics of Dyslexia
• Learning Disabilities
• Language Impairment
• +۱۲ مورد دیگر

Jeffrey R. Gruen is Professor of Pediatrics (Neonatology) and of Genetics at Yale School of Medicine, and a faculty member in the Investigative Medicine Program at Yale Graduate School of Arts and Sciences. His research is affiliated with multiple centers including the Yale Center for Genomic Health, Wu Tsai Institute, and the Yale Child Health Research Center. Professor of Pediatrics (Neonatology), Yale School of Medicine Professor of Genetics, Yale School of Medicine Member, Investigative Medicine Program, Yale Graduate School Principal Investigator, Gruen Lab Education: MD, Tulane University, 1981 BS in Chemistry, Tulane University, 1977 Residency in Pediatrics, Yale-New Haven Hospital, 1984 Internship in Pediatrics, Yale-New Haven Hospital, 1982 Dr. Gruen's research centers on the genetic and molecular basis of dyslexia and language impairments. His lab pioneered the mapping of the DYX2 locus on chromosome 6 and discovered the DCDC2 gene, a major contributor to reading disability. His team identified READ1, a transcriptional control element that modulates risk for dyslexia, and demonstrated synergistic interactions between genetic variants in DCDC2 and KIAA0319 . His work integrates human genetics, molecular biology, and neuroimaging to understand the biological mechanisms underlying learning disabilities. He leads the Yale Genes, Reading and Dyslexia (GRaD) Study and the New Haven Lexinome Project, aiming to enable early diagnosis and personalized educational interventions. The recent publications reflect a strong trend in integrating genetic data with cognitive, behavioral, and educational assessments. Key themes include genome-wide association studies of dyslexia, gene-environment interactions (particularly involving phonological awareness and home environment), phenotype harmonization across cohorts, and the application of genetic findings to educational policy and practice. Imaging genetics and the study of comorbid conditions like Sluggish Cognitive Tempo are also prominent. Scientific Awards: Innovative Research Award, Kavli Institute, 2022 Dr. Gruen has served as Principal Investigator on numerous NIH-funded studies, including the GRaD Study, the Pediatric Imaging NeuroGenetics (PING) Study at Yale, and the New Haven Lexinome Project. He mentors a broad network of collaborators across institutions such as the University of Colorado, University of Bristol, and Johns Hopkins. His lab trains researchers in human genetics, molecular techniques, and cognitive phenotyping. He leads the Gruen Lab, which focuses on human genetic studies, molecular genetic mechanisms, imaging genetics, and longitudinal intervention studies. The lab collaborates extensively with national and international research centers and utilizes advanced techniques including GWAS, sequencing, chromatin immunoprecipitation, and MRI-based phenotyping.

Kushal Deyمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Machine Learning
• +۵ مورد دیگر

Kushal Dey, PhD, is an Assistant Professor in the Computational and Systems Biology Program at Memorial Sloan Kettering Cancer Center (MSKCC). His research develops machine learning models that integrate genetic, genomic, and epigenomic data (e.g., RNA-seq, ChIP-seq, Perturb-seq, spatial transcriptomics) to decode the causal functional architecture of heritable complex diseases, including immune-related disorders like Alzheimer’s and inflammatory bowel disease, as well as heritable cancers such as breast and prostate cancer.

Guillaume Bourqueمشاهده پروفایل

استاد

• Bioinformatics
• Computational Genomics
• Comparative Genomics
• +۵ مورد دیگر

Guillaume Bourque is a Professor in the Department of Human Genetics at McGill University's Faculty of Medicine. He serves as an Investigator at the Victor Phillip Dahdaleh Institute of Genomic Medicine and as the Scientific Director of the Canadian Centre for Computational Genomics (C3G). His laboratory is based at 740 Dr Penfield Ave, Room 6103, Montréal, Québec, Canada, H3A 1A4, where he leads research in computational genomics and bioinformatics. Professor Bourque's research focuses on understanding mammalian genomes using comparative genomic and epigenomic analyses. His lab investigates the evolution of regulatory sequences , the role of transposable elements in gene regulation , and the impact of genome rearrangements in evolution and cancer . His team develops computational methods and resources for the functional annotation of genomes with special emphasis on sequencing-based assays including ChIP-seq, RNA-Seq, exome- and whole-genome sequencing, and single-cell analysis. The lab's work involves examining billions of DNA base pairs to interpret how variation impacts basic biology and disease. Recent publications (2024-2025) demonstrate Bourque's leadership in pangenome graph construction , transposable element analysis , epigenomic profiling , and cancer genomics . His work spans multiple disciplines from basic genome evolution to clinical applications in cancer and infectious disease. Notable projects include the development of tools like DeepPolisher for genome assembly polishing and contributions to understanding the genomic basis of long COVID. Bourque's laboratory is actively recruiting postdocs and graduate students with backgrounds in programming or statistics. The lab emphasizes quantitative approaches to biology, requiring applicants to have experience in quantitative biology as a plus. His collaborative work extends across multiple institutions and international consortia, reflecting the interdisciplinary nature of modern genomic research.

Joel Talcottمشاهده پروفایل

استاد

• Developmental Dyslexia
• Reading Acquisition
• Cognitive Neuroscience
• +۳ مورد دیگر

Joel Talcott is Professor of Developmental Cognitive Neuroscience at Aston University, specializing in dyslexia and language disorders. His research examines genetic, neural, and cognitive foundations of reading development using methods including neuroimaging, genetic analysis, and large-scale behavioral assessment. Leadership Roles: Vice President of the British Dyslexia Association (2010-present), Fellow of the Royal Society of Arts (2012), and IBRO-UNESCO Science of Learning Fellow (2020). Editorial responsibilities include service for Dyslexia and Annals of Dyslexia journals. Research: Leads the Aston Brain Centre's investigations into neurocognitive trajectories of reading skills. Current projects include the ECCaToN transdiagnostic protocol for neurodevelopmental characterization and analysis of literacy development datasets (LIBS Dataset). Awards: IBRO-UNESCO Science of Learning Fellow (2020) Fellow of the Royal Society of Arts (2012) Honorary Vice-President, British Dyslexia Association (2010)

Paul Marcoglieseمشاهده پروفایل

استادیار

• Neurological Disease Mechanisms
• Molecular Genetics
• Functional Genomics
• +۷ مورد دیگر

Dr. Paul Marcogliese is an Assistant Professor in the Department of Biochemistry & Medical Genetics at the University of Manitoba’s Max Rady College of Medicine. He leads the Marcogliese Lab, focused on understanding the molecular and cellular mechanisms underlying neurological disorders such as autism, Parkinson’s disease, and rare conditions like NEDAMSS. His work employs Drosophila melanogaster and mouse models to assess genetic variants and develop therapeutic strategies. Dr. Marcogliese holds a PhD in Neuroscience from the University of Ottawa and completed postdoctoral training at Baylor College of Medicine, where he studied neurodegenerative disease mechanisms. His research integrates functional genomics, disease modeling, and drug screening to identify genetic drivers of neurological disorders and potential treatments. Key research interests include: Functional assessment of human disease variants using Drosophila and murine models Role of Wnt signaling in neurodegeneration and neurodevelopmental disorders Identification of novel therapeutic targets for rare and common neurological conditions Dr. Marcogliese is affiliated with the Children’s Hospital Research Institute of Manitoba (CHRIM) and co-leads the ENRRICH and MGM research groups. He currently accepts Master’s and PhD students. His lab has secured grants from Brain Canada and the Manitoba Medical Service Foundation, among others. Recent achievements include the 2023 Shaun Lamoureux Legacy Award for grant writing and the 2024 Brain Canada Future Leaders award. His work has been published in Genome , Neurobiology of Disease , and other high-impact journals.

Bei Beiمشاهده پروفایل

دانشیار

• Sleep Disorders
• Circadian Rhythm
• Clinical Psychology
• +۵ مورد دیگر

Dr. Bei Bei is an Associate Professor at the School of Psychological Sciences, Monash University, and an NHMRC Emerging Leadership (EL2) Fellow. She leads the Behavioural Sleep Medicine service, research, and training at Monash University Healthy Sleep Clinic, focusing on individual differences in sleep-wake behaviors, sleep-mental health relationships, and community dissemination of evidence-based sleep interventions. Doctor of Psychology (Clinical), University of Melbourne PhD, University of Melbourne Her research spans six major areas: Sleep-wake circadian rhythm disorders Cognitive Behavioral Therapy for Insomnia (CBT-I) Psychological/behavioral aspects of sleep Sleep-mental health interactions (mood, anxiety) Adolescent sleep patterns and wellbeing Perinatal/postpartum sleep interventions for women Recent publications (2024-2025) address: Insomnia treatment mechanisms in depression comorbidity Neurodevelopmental impacts of circadian factors Pregnancy-related insomnia risk identification Adolescent sleep facilitators/barriers Integrated models for youth depression and sleep across continents She also contributes to: Antifungal drug tolerance mechanisms RNA polyadenylation dynamics Mitochondrial RNA stability in cancer 3' UTR splice variants in rare diseases Awarded the NHMRC Emerging Leadership (EL2) Fellowship and Early Career Research Grant , Dr. Bei serves on editorial boards for Sleep Medicine Reviews, Sleep, and Behavioral Sleep Medicine journals.

Stanislas Lyonnetمشاهده پروفایل

استاد

• Genetics
• Congenital Malformations
• Rare Diseases
• +۳ مورد دیگر

Stanislas Lyonnet is Professor of Genetics at the Paris Descartes Faculty of Medicine and a geneticist at the Necker-Enfants Malades University Hospital in Paris. Since 2016, he has served as Director of the Institute for Genetic Diseases (Imagine), a position that builds on his extensive leadership in genetic research and clinical practice. His career spans several key roles including directing the 'Genetics and Embryology of Malformations' laboratory from 1992 until 2016 and coordinating the Necker site of the National Reference Center for Rare Diseases. Lyonnet's research focuses on the genetic basis and molecular pathophysiology of congenital malformations, with nearly 400 international publications spanning from 1985 to 2019. His work has significantly contributed to understanding rare genetic disorders, developmental anomalies, and malformation syndromes. Recent publications demonstrate his ongoing contributions to next-generation phenotyping techniques, genotype-phenotype correlations, and the molecular mechanisms underlying various genetic conditions including Coffin-Siris syndrome, ciliopathies, and neurodevelopmental disorders. Inserm Research Prize (2009) Collery Prize from the French Academy of Medicine President of the European Society of Human Genetics (2013) Throughout his career, Lyonnet has been deeply committed to knowledge transfer, having directed the European Master's in Genetics at the University of Paris from 2004 to 2017 and authored educational materials including 'Les 100 mots de la génétique.' He currently chairs the scientific council of the École Normale Supérieure (Ulm) and continues to lead research initiatives at Imagine, focusing on advancing the understanding and treatment of genetic diseases through interdisciplinary collaboration and cutting-edge genomic approaches.

Kelly Burkettمشاهده پروفایل

دانشیار

• Statistical Genetics
• Genetic Epidemiology
• Biostatistics
• +۳ مورد دیگر

Dr. Kelly Burkett is an Associate Professor in the Department of Mathematics and Statistics at the University of Ottawa, within the Faculty of Science. She specializes in Statistical Genetics and Genetic Epidemiology, focusing on genealogical relationships, population substructure, and family-based study designs. Her work includes software development for genetic data analysis, such as SMLE and GENLIB. Dr. Burkett holds an MSc and PhD from Simon Fraser University. Research Interests: Dr. Burkett’s research addresses challenges in genetic epidemiology, including maternal effects, gene-environment interactions, and the impact of population substructure on study design. Her methodologies often integrate computational tools to analyze large-scale genetic datasets. She actively collaborates with biomedical researchers, inspiring new questions in statistical genetics and genomics. Publications & Software: Her recent work includes studies on orofacial clefting etiology, software for high-dimensional feature screening, and genealogical simulations in French Canadian populations. Her articles span topics from computational genetics to molecular biology, emphasizing interdisciplinary approaches. Advising & Collaborations: Dr. Burkett has mentored over 20 students and trainees across MSc, PhD, and postdoctoral programs. Current advisees include Yuewen Pan (MSc) and Yuhao Feng (PhD). Past students hold roles in academia, healthcare, and industry. She collaborates on biomedical projects, leveraging statistical methods to address genetic and environmental interactions. Labs & Teams: While no formal lab is explicitly mentioned, her software contributions (e.g., hapassoc, sampletrees) and collaborative projects suggest involvement in computational biology and genetics research networks at the University of Ottawa and beyond.

Raul A. Urrutiaمشاهده پروفایل

استاد

• Genomics
• Epigenomics
• Precision Medicine
• +۴ مورد دیگر

Raul A. Urrutia, MD is a Professor in the Department of Surgery & Biochemistry and the Director of the Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine at the Medical College of Wisconsin. He holds the Warren P. Knowles Endowed Chair of Genomics and Precision Medicine and directs the Pancreas Cancer Program. His research focuses on genomics, epigenomics, and precision medicine, particularly in pancreatic diseases such as cancer and diabetes. He has discovered key tumor suppressor genes and epigenetic pathways operational in pancreatic cancer and other diseases. His lab employs a multidisciplinary team of biochemists, geneticists, and bioinformaticians to advance precision medicine. Education: MD, University of Cordoba Postdoctoral Fellowship, National Institute on Deafness and Other Communication Disorders, NIH Research Interests: Dr. Urrutia’s work integrates genomic and epigenomic approaches to uncover mechanisms underlying pancreatic cancer, diabetes, and other diseases. His lab has made seminal contributions to understanding KLF proteins, histone-modifying enzymes (HDACs, HATs, HMTs), and histone-protein subcodes. Recent studies focus on epigenetic regulators in cancer progression and therapy resistance, mitochondrial genomic variants in transplantation outcomes, and precision medicine simulation models. Publications Trends: Recent articles emphasize targeting epigenetic regulators (e.g., CBX5, EZH2), mitochondrial genomics in hematopoietic transplantation, and systems biology approaches combining germline/somatic mutations for tumor analysis. The work spans disciplines from molecular biology to clinical translation. Awards: Warren P. Knowles Endowed Chair Member, American Society of Clinical Investigation Advising & Grants: Dr. Urrutia has mentored over 50 investigators. His lab is funded by NCI grants, the CIBMTR Data Resource (U24), and philanthropic support like the Theodore W. Batterman Family Foundation. Research units include the Precision Medicine Simulation Unit and collaborations with global institutions. Labs & Teams: Leads the Urrutia Research Laboratory and the Mellowes Center, collaborating with experts in epigenetics, computational biology, and clinical genomics. Key lab members include Angela J. Mathison, PhD (Technology Director) and Gareth Pollin, PhD (Bioinformatics).

Lucy Gloverمشاهده پروفایل

پژوهشگر

• Molecular Parasitology
• DNA Repair
• Antigenic Variation
• +۷ مورد دیگر

Lucy Glover is a Researcher and Group Leader of the Trypanosome Molecular Biology laboratory at the Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France. She joined the institute in March 2016 as a G5 group leader, focusing on the molecular mechanisms of antigenic variation and DNA repair in Trypanosoma brucei , the causative agent of Human African Trypanosomiasis. Her research integrates molecular, biochemical, and high-throughput approaches to study DNA recombination and immune evasion. Institut Pasteur, Paris (2016–Present) PhD, London School of Hygiene and Tropical Medicine Her research interests center on antigenic variation , DNA repair , and homologous recombination in trypanosomes. She investigates how DNA double-strand breaks influence variant surface glycoprotein (VSG) switching, a critical process for parasite survival in the host. Her lab uses advanced techniques such as RIT-seq, phosphoproteomics, and CRISPR-based tools to dissect these mechanisms at the molecular level. The recent publications of Lucy Glover span molecular parasitology, DNA damage response, and diagnostic development. Key themes include the role of the MRN complex in DNA repair, phosphoproteomic profiling of DNA damage responses, and the design of CRISPR-based diagnostics for HAT. Her work reveals how chromosomal context influences repair pathways and antigenic variation, contributing to a deeper understanding of parasite biology. While no formal scientific awards are listed in the provided text, her contributions are evident through high-impact publications and leadership in collaborative research projects. Lucy Glover advises several PhD and postdoctoral researchers, including Emilia MacLaughlin, Nuria Sima Teruel, and Alix Thivolle. Her lab is supported by institutional initiatives such as LabEx IBEID and transversal drug discovery programs. She collaborates with teams working on host-pathogen interactions, genomics, and infectious disease epidemiology. Her laboratory is part of the Department of Parasites and Insect Vectors and participates in departmental retreats and seminars. The team includes post-docs, research engineers, and administrative staff, reflecting a collaborative and interdisciplinary research environment focused on combating neglected tropical diseases.

Matt Koslovskyمشاهده پروفایل

استادیار

• Bayesian modeling
• Variable selection
• Graphical models
• +۱۰ مورد دیگر

Matt Koslovsky is an Assistant Professor of Statistics at Colorado State University. He completed his PhD in Biostatistics at The University of Texas Health Science Center School of Public Health (UTHealth) in 2016 and served as a Post-Doctoral Research Associate at Rice University's Marina Vannucci lab from 2018-2020. Prior to joining CSU in 2020, he worked as a statistical consultant at Johnson Space Center's Biostatistics Lab. PhD, Biostatistics (2016), UTHealth School of Public Health Post-Doctoral Research Associate (2018-2020), Rice University Assistant Professor (2020-Present), Colorado State University His research spans Bayesian methodology and its applications across diverse domains: Theory: Bayesian modeling, variable selection, graphical models, nonparametric Bayes Applications: Cancer prevention, mental health, microbiome analysis, space health, ecological momentary assessment Recent publications demonstrate methodological advancements in: Bayesian variable selection for rare variants Integrated population modeling Compositional data analysis Continuous-time hidden Markov models mHealth data processing Microbiome mediation effects Current advisees include: Hyungjoon Kim (PhD candidate) Brody Erlandson (PhD candidate) Suppapat Korsurat (PhD candidate)

Michael Nothnagelمشاهده پروفایل

استاد

• Statistical Genetics
• Genetic Epidemiology
• Population Genetics
• +۵ مورد دیگر

Michael Nothnagel is a Professor at the University of Cologne, where he leads the Department of Statistical Genetics and Bioinformatics within the Cologne Center for Genomics (CCG). His work spans statistical genetics, genetic epidemiology, and forensic genetics, focusing on methodological development and large-scale genomic data analysis. His research interests encompass theoretical and applied statistical genetics, with emphasis on human genetic diversity, disease etiology, and forensic applications. Key areas include Y-chromosomal phylogeography, genome-wide association studies for complex diseases, development of statistical methods for variant interpretation, and forensic marker optimization. His group leverages next-generation sequencing data and specialized forensic markers to address questions in population history, disease mechanisms, and identification systems. Recent publications reveal a strong focus on computational approaches to genetic analysis, including spatial frequency interpolation for haplogroup mapping, polygenic risk score applications for behavioral traits, and advanced methods for variant classification. His work demonstrates consistent integration of statistical theory with practical applications in medical and forensic genetics, often through international collaborations like the VISAGE Consortium. Nothnagel maintains active involvement in the Cologne Center for Genomics, contributing to seminars and collaborative projects including the upcoming 34th International Genetic Epidemiology Society meeting. His research group operates at the intersection of computational biology and medicine, with particular strengths in handling complex genomic datasets and developing novel analytical frameworks for genetic epidemiology.

Hilary Martinمشاهده پروفایل

پژوهشگر

• Medical Genomics
• Population Genetics
• Genetic Architecture of Diseases
• +۶ مورد دیگر

Dr. Hilary Martin is a Group Leader in Human Genetics at the Wellcome Sanger Institute and a College Research Associate at St John's College, Cambridge. Her research focuses on medical and population genomics, analyzing high-throughput sequence and genotype data from large cohorts to address various medical and population genetic questions. She leads the Martin Group which studies the genetic architecture of rare and common disorders in diverse populations, with particular emphasis on populations with high levels of parental relatedness. BSc (Human Genetics) from the University of Queensland, Australia PhD from the Wellcome Trust Centre for Human Genetics in Oxford Postdoctoral research at Sanger Institute with Jeff Barrett Group Leader at Sanger Institute since September 2018 Dr. Martin's research program spans several key areas in human genetics. Her group analyzes large-scale genetic and electronic health record data to explore fine-scale population structure, its impact on disease risk, and the genetic architecture of both rare and complex diseases. A particular focus is on populations with high levels of parental relatedness (consanguinity), where her team investigates how autozygosity affects disease risk across the phenotypic spectrum. Her work on developmental disorders examines the role of rare recessive variants and polygenic risk, while her research with South Asian populations explores the genetic basis of cardiometabolic diseases. Analyzing her recent publications reveals a strong trend toward multi-ancestry studies, particularly focusing on British Pakistani and Bangladeshi populations through the Genes & Health project. Her research increasingly integrates rare variant analysis with polygenic risk scores to understand the full genetic architecture of complex traits. There's also a growing emphasis on understanding how population structure, consanguinity, and founder effects influence disease risk across diverse populations. Her work bridges fundamental population genetics with clinical applications, particularly in neurodevelopmental disorders and cardiometabolic diseases. Extensive publication record in top journals including Nature, Cell, and Nature Genetics Leadership in major collaborative projects like Deciphering Developmental Disorders (DDD) Key contributions to understanding the role of consanguinity in disease architecture Development of methods for analyzing recessive variants in diverse populations Dr. Martin leads a dynamic research group comprising PhD students, postdoctoral fellows, and staff scientists. Her group works closely with multiple large-scale studies including the Avon Longitudinal Study of Parents and Children (ALSPAC), Millennium Cohort Study, Born in Bradford, Deciphering Developmental Disorders study, Genomics England, and Genes & Health. She maintains strong collaborations with clinical and research teams across the UK and internationally, particularly with groups studying South Asian populations. Her research has secured significant funding through institutional support and collaborative grants that enable large-scale genomic analyses. The Martin Group operates within the Human Genetics Programme at the Wellcome Sanger Institute, maintaining close ties with the Hurles Group and other related teams. They collaborate extensively with the East London Genes and Health project, which is one of the world's largest community-based genetics studies focusing on people of Pakistani and Bangladeshi heritage. The group maintains strict data security and confidentiality procedures while working closely with the communities they study through community engagement and dissemination of scientific findings.

• Human Evolutionary Genetics
• Computational Biology
• Genotype/Phenotype Architecture
• +۳ مورد دیگر

Timothy D. O'Connor is an Associate Professor in the Department of Medicine at the University of Maryland School of Medicine, serving as Co-Director for the Program in Health Equity and Population Health (HEPH). His research focuses on the evolutionary and population genetic influences on disease and phenotypic diversity, integrating evolutionary theory with large genomic datasets. He leads the O’Connor Evolutionary Genomics Group, emphasizing collaboration and multi-omics approaches. Education: B.S. Bioinformatics, Brigham Young University (2001-2007) Ph.D. Evolutionary Genetics, University of Cambridge (2007-2011), supported by the Gates Cambridge Scholarship Senior Research Fellow, University of Washington (2010-2013) Research Interests: Dr. O’Connor’s work spans human evolutionary genetics, computational biology, and genetic epidemiology. His lab develops novel algorithms to analyze large genomic datasets, with a focus on New World populations, including studies of Peruvian genomic dynamics, malaria parasite migration, and the evolutionary origins of phenotypic diversity. He emphasizes interdisciplinary collaboration and the application of evolutionary principles to modern biomedical challenges. Grants & Awards: NIH/NIAID R01 (2020-2025): $499,998 for malaria genomic migration studies in Cambodia/Thailand NIH/NIGMS R35 (2019-2024): $299,713 for evolutionary multi-omics research 2021 Faculty Mentoring Award 2019 Teacher of the Year Award Labs & Collaborations: His lab is part of the TOPMed Program, co-leading the Population Genetics Working Group. He also collaborates on projects like the Peruvian Genome Project and the Gynecological Cancer Center of Excellence. His work bridges academia and clinical practice, addressing disparities in genomic medicine through initiatives like the PENGUIN model for patient engagement.

Sharmistha Guhaمشاهده پروفایل

استادیار

• Bayesian Methods
• High-Dimensional Regression
• Causal Inference
• +۴ مورد دیگر

Sharmistha Guha is an Assistant Professor in the Department of Statistics at Texas A&M University, part of the College of Arts & Sciences. Her research focuses on Bayesian methods for analyzing complex, high-dimensional data, with applications in neuroscience, network security, and social sciences. She develops techniques for supervised network data analysis, causal inference, and data privacy preservation. Education: Ph.D. in Statistical Science (Duke University, implied by dissertation recognition). Research Interests: Bayesian high-dimensional regression, object-oriented regression, causal inference in randomized trials, probabilistic record linkage, Bayesian nonparametric mixture models, and integration of heterogeneous data types like networks and functional data. Her work addresses challenges in neuroimaging (dMRI/fMRI) and big data analytics. Recent Contributions: Her articles span Bayesian methodologies for network analysis, differential privacy in treatment effect estimation, and applications in environmental health (e.g., PM2.5 exposure studies). Notable trends include leveraging Bayesian hierarchical models for complex data structures and advancing causal inference frameworks. Awards: 2022 Blackwell-Rosenbluth Award (ISBA) 2021 Savage Award Honorable Mention 2024 NSF-DMS Grant 2413721 Grants & Advising: Secured NSF funding for heterogeneous data integration research. Mentored students like Jose Rodriguez-Acosta (NSF GRFP Fellow) and Jacob Pagel (NIH-funded CoSIBS participant). Lab/Team: Leads a research group integrating statistical method development with domain collaborations in neuroscience and network security. Active in organizing workshops and serving on panels to foster academic engagement.