جست‌وجوی استاد و پژوهشگر

• Biomarker Discovery
• Cancer Genomics
• Bioinformatics
• +۱۲ مورد دیگر

George Vasmatzis, Ph.D., is an Associate Professor in the Department of Molecular Medicine at Mayo Clinic, Rochester, and holds a joint appointment in Cancer Biology within the Department of Quantitative Health Sciences. He serves as co-director of the Biomarker Discovery Program in the Center for Individualized Medicine, where he leads a multidisciplinary research team integrating bioinformatics, molecular biology, and computational genomics to advance cancer diagnostics and personalized treatment. Education: Ph.D. in Biomedical Engineering, Boston University M.S. in Electrical Engineering, Purdue University B.S. in Electrical Engineering, Texas Tech University Postdoctoral Research Fellowship, Laboratory of Molecular Biology, National Cancer Institute, NIH Postdoctoral Research Associate, Boston University Research Interests: Dr. Vasmatzis specializes in biomarker discovery for cancer diagnosis, focusing on large genomic alterations such as breakpoints, rearrangements, and copy-number variations. His work addresses lineage relationships in cancer progression, genomic changes distinguishing indolent from aggressive tumors, viral integration sites, and targetable genomic alterations. He employs next-generation sequencing and computational models to enable non-invasive cancer monitoring via liquid biopsy. A significant focus is on allelic dependence and phasing of mutations to understand functional impacts. Publication Trends: His recent publications reflect a strong emphasis on translational genomics, leveraging cutting-edge technologies like nanopore sequencing and 3D tumor models. Research spans oncology, bioinformatics, immunology, and nanotechnology, with applications in early detection, therapy monitoring, and precision medicine. Key journals include Genome Biology , Cancer Genetics , and Frontiers in Immunology . Scientific Awards: Innovation Accelerator Award, Mayo Clinic, 2023 Member, NCI Special Emphasis Panels (2008–2010) Participant, NCI Early Detection Research Network, 2008 Member, National Biospecimen Network Informatics Task Force, 2005–2007 Grants & Advising: Dr. Vasmatzis has served as Principal Investigator on NIH-funded projects, including the NCI-funded 'CORE--GENE DISCOVERY BIOINFORMATICS' and co-PI on the SPORE in Prostate Cancer. He mentors a research team of bioinformaticians, molecular biologists, and pathologists. While specific student names are not listed, his lab actively trains researchers in computational and molecular genomics. Laboratories & Collaborations: His lab is embedded within the Center for Individualized Medicine and collaborates extensively with Rashid Bashir, Ph.D., at the University of Illinois at Urbana-Champaign, on nanopore-based DNA detection technologies. This work has potential for stool-based early colon cancer detection. He is also involved in Mayo Clinic’s Cancer Biomedical Informatics Grid and multiple institutional research committees.

Dimo Ivanovمشاهده پروفایل

استادیار

• Ultra-high field MRI
• Quantitative MRI techniques
• Brain microstructure imaging
• +۷ مورد دیگر

Dr. Dimo Ivanov is an Assistant Professor at the Department of Cognitive Neuroscience at Maastricht University in the Netherlands. Since 2025, he has also served as Head of the 7 Tesla MR Core structure at the Cooperative Brain Imaging Center and as an Independent Research Group Leader at the Max Planck Institute for Empirical Aesthetics in Frankfurt, Germany. His work bridges physics, neuroscience, and advanced imaging technology. Dr. Ivanov earned his PhD (Dr. rer. nat.) in Physics from the University of Leipzig/Max Planck Institute for Human Cognitive and Brain Sciences in 2012, followed by an M.Sc. in Physics from the International Physics Studies Program at the University of Leipzig in 2007. His educational foundation was completed with studies at the Foreign Language High School in Pleven, Bulgaria. Dr. Ivanov specializes in high-resolution structural, perfusion, and functional mapping of the human cortex and subcortical regions. His research focuses on quantitative MRI techniques to assess tissue vascularization, microstructure, myelination, and iron content. He develops advanced MRI sequences and analysis pipelines for both 7T and 3T systems, with translational applications in neurodegenerative disorders, psychiatric conditions, and neurodevelopmental studies. His work on resting-state and task-based fMRI provides critical insights into neural connectivity and brain dynamics. His publication record demonstrates consistent contributions to ultra-high field MRI methodology, with emphasis on 7T and 9.4T systems. His research spans technical MRI development, quantitative imaging methods, and clinical applications across multiple neurological conditions. Recent work shows increasing focus on translational applications connecting advanced imaging techniques with clinical outcomes. Dr. Ivanov has received numerous scientific awards and successfully secured competitive funding: ERC Marie Curie Program (2023) - 2-year postdoc position Maastricht University-Chinese Science Council PhD Program (2022) Maastricht University Center for Integrative Neuroscience PhD Program (2022) Magnetic Resonance in Medicine issue cover (2017) ISMRM merit award magna cum laude (2013) Trainee abstract travel award from the Organization for Human Brain Mapping (2011) Educational Stipends from the International Society for Magnetic Resonance in Medicine (2009-2011) Dr. Ivanov has successfully mentored postdoctoral researchers and PhD students through competitive funding mechanisms. His research group at the Max Planck Institute for Empirical Aesthetics and his position at Maastricht University support a collaborative environment that bridges physics, neuroscience, and clinical applications. His work with the 7 Tesla MR Core structure provides critical infrastructure for advanced neuroimaging research in Frankfurt. Dr. Ivanov leads the Structural and Physiological Imaging with High-Field MRI research group at the Max Planck Institute for Empirical Aesthetics. His team specializes in pushing the boundaries of ultra-high field MRI technology, developing novel acquisition and analysis methods that enable unprecedented insights into brain structure and function. The group maintains strong collaborations with multiple institutions across Europe and beyond.

Steven J Jonesمشاهده پروفایل

استاد

• Bioinformatics
• Gene Expression
• Gene Regulation
• +۷ مورد دیگر

Dr. Steven J. Jones is a Professor in the Department of Medical Genetics at the University of British Columbia (UBC) and Associate Director/Head of Bioinformatics at the Genome Sciences Centre, BC Cancer Research Centre. He serves as Director of the CIHR/MSFHR Bioinformatics Training Program and the UBC Bioinformatics Graduate Program, with associate memberships at the Peter Wall Institute for Advanced Studies and Michael Smith Laboratories. Dr. Jones' research focuses on computational genomics and cancer bioinformatics , analyzing mutational landscapes and epigenetic targets in oncology. His work includes next-generation sequencing , structural variant detection , and long-read sequencing applications for resolving complex genomic architectures. He has extensive experience with transcriptome analysis , gene regulation , and comparative genomics across diverse organisms including C. elegans , conifers, and human pathogens. His 15 most recent publications highlight expertise in long-read sequencing for cancer genomics , imprinting disorders , and structural variation analysis. Key contributions include developing the Circos visualization tool for comparative genomics and pioneering bioinformatics approaches for epigenetic modifier discovery in oncology. Scientific Awards : Spencer Award for IT innovation (2005) 2007 Medical Genetics teaching award (UBC) 2011 Fellow of the Royal Society of Canada 2012 UBC Killam teaching prize 2014 Distinguished Achievement Award (UBC Faculty of Medicine) 2014 Fellow of the Canadian Academy of Health Sciences Clarivate Analytics Highly Cited Researcher (2016, 2018) Dr. Jones actively advises graduate students and serves as a data analysis center for the Canadian Epigenetics, Environment and Health Research Consortium (CEEHRC). He co-founded Ifowonco Bioinformatics Inc. and Alamya Health, PBC, and consults for Apotheca Systems Inc.

Ellen Lefflerمشاهده پروفایل

استادیار

• Evolutionary Genetics
• Population Genetics
• Infectious Disease Genomics
• +۴ مورد دیگر

Ellen Leffler is an Assistant Professor in the Department of Human Genetics at the University of Utah. Her research focuses on evolutionary and population genetics in humans and non-human primates, particularly studying structural variation and its functional consequences in relation to infectious diseases like malaria. Education: B.A. from Amherst College, M.Phil. from University of Cambridge, Ph.D. from University of Chicago The Leffler lab develops computational methods to analyze genomic datasets, with emphasis on copy number variation (CNVs) in repetitive genomic regions and their role in host-pathogen interactions. Current projects include comparative genomic studies of malaria parasites in macaques and modeling evolutionary forces shaping malaria-protective alleles globally. Her work integrates joint analyses of host and pathogen genomes to understand disease susceptibility in evolutionary contexts. Research spans immunogenetics, recombination mechanisms, and adaptation in primate populations exposed to malaria. Scientific Networks: Collaborator in MalariaGEN Consortium Her lab combines fieldwork in Southeast Asia with genomic methodologies to investigate structural variation at immune gene clusters and malaria resistance loci.

Evan Biederstedtمشاهده پروفایل

پژوهشگر

• Computational Biology
• Cancer Genomics
• Bioinformatics
• +۳ مورد دیگر

Evan Biederstedt is an Associate in Biomedical Informatics at Harvard Medical School, affiliated with the Gehlenborg Lab. He holds a Master of Science (MSc) and specializes in computational biology with a focus on cancer genomics. His work includes developing the Cell Annotation Platform (CAP) to enhance cellular state interpretation through metadata and molecular signature analysis. Biederstedt’s research spans single-cell analysis, spatial transcriptomics, and genomic tools for structural variant discovery. His contributions include scaling cross-tissue annotation models and haplotype-aware somatic variation analysis. Key areas of focus include bioinformatics tool development, cancer genomics, and genomic data integration. He has collaborated on projects like the Virus Discovery Codeathon and international hackathons for genomic analysis. Biederstedt’s GitHub profile showcases his open-source contributions. His publications highlight advancements in tensor decomposition for patient cohort analysis, spatial transcriptomics, and pangenome strategies. Biederstedt’s work bridges computational methods with biomedical applications, emphasizing scalable solutions for complex genomic data challenges.

Yildiz Yilmazمشاهده پروفایل

دانشیار

• Survival Analysis
• Statistical Genetics
• Genetic Epidemiology
• +۴ مورد دیگر

Yildiz Yilmaz serves as Associate Professor of Statistics and Deputy Head of Statistics at Memorial University of Newfoundland's Department of Mathematics and Statistics within the Faculty of Science. Holding a PhD from the University of Waterloo, she maintains an active research program at the intersection of statistical methodology and biomedical applications. Education PhD in Statistics, University of Waterloo (2009) MSc in Statistics, Middle East Technical University (2004) MSc in Computer Engineering, Middle East Technical University (2004) BSc in Statistics with minor in Computer Engineering, Middle East Technical University (2002) Her research focuses on developing advanced statistical methods for survival analysis, genetic epidemiology, and causal inference. Key programs include: (1) novel methods for genome-wide prognosis studies of time-to-event phenotypes, (2) genetic association methods using joint/directional models of multiple phenotypes, (3) evaluation of response-dependent sampling designs, and (4) models for multivariate survival times. Her work addresses critical challenges in biomedical research through innovative statistical theory. Recent publications demonstrate consistent focus on colorectal cancer genomics, statistical genetics methodology, and survival analysis applications. Trends show increasing emphasis on multi-phenotype analysis, SNP interaction networks, and time-varying effects in genetic association studies, with significant contributions to copula-based joint modeling approaches. Research Support Natural Sciences and Engineering Research Council (NSERC) Canadian Statistical Sciences Institute (CANSSI) Faculty of Medicine, Memorial University Research and Development Corporation (RDC) of Newfoundland and Labrador Dr. Yilmaz actively mentors students across multiple programs including PhD, MSc, MAS, and undergraduate levels. Her current research group comprises seven students working on statistical genetics and survival analysis projects, building on a track record of successfully supervising numerous graduate students and post-doctoral fellows since 2013.

Thomas Bourgeronمشاهده پروفایل

استاد

• Genetics
• Genomics
• Autism Spectrum Disorders
• +۱۲ مورد دیگر

Thomas Bourgeron is a Professor and head of the Human Genetics and Cognitive Functions Unit at the Institut Pasteur in Paris, France. His research integrates psychiatry, neuroscience, and genetics to investigate the causes of autism spectrum disorders (ASD) and improve clinical management. He leads a multidisciplinary team and numerous international research initiatives. Institut Pasteur, Paris Human Genetics and Cognitive Functions Unit Principal Investigator, EU-AIMS, PARIS Study, Phelan-McDermid Syndrome Project His research focuses on identifying genetic mutations linked to ASD, particularly in synaptic genes (NLGN, SHANK, CNTN) and the melatonin pathway affecting sleep. His team employs high-throughput genomics, brain imaging (MRI, EEG), mouse models, and human iPSCs to study functional impacts and develop therapeutic strategies. He emphasizes data sharing and open science through tools like GeneTrek and GRAVITY. His recent publications reveal genetic heterogeneity in autism, brain connectivity patterns, and phenotypic stratification using electrophysiology and behavioral analysis. His work bridges molecular mechanisms with clinical manifestations, aiming to identify common pathways for targeted interventions. Phenotypic effects of genetic variants in autism Genetic correlates of phenotypic heterogeneity Stratification of autistic phenotypes using EEG Functional impact of SHANK3 mutations Proteomic analysis of the pineal gland in autism Thomas Bourgeron mentors numerous PhD students, postdoctoral researchers, and engineers. He collaborates with leading institutions and clinicians, including Professor Christopher Gillberg at the University of Gothenburg. His lab is actively recruiting in human genetics and neuroimaging. He contributes to public education through lectures, open-access tools, and outreach initiatives like the CléPsy platform and educational videos for families of autistic children.

• human genetics
• genomics
• bioinformatics
• +۷ مورد دیگر

Sophie LIMOU is a Professor in Human Genetics at the University of Nantes , affiliated with the Mathematics, Informatics and Biology (MIB) department and leading Team 3 at the CR2TI (Center for Research in Transplantation and Translational Immunology) under Inserm UMR1064. Her work bridges genomics, bioinformatics, and immunology in kidney transplantation and complex disease research. Cell Biology Molecular Biology Physiology Human Genomics Big Data Bioinformatics Her research focuses on genetic epidemiology of complex diseases, integrating genomics, bioinformatics, and biostatistics to explore kidney function and pathologies in five key areas: end-stage renal disease, kidney graft survival, transplantation comorbidities, recurrent diseases post-transplantation, and living donor kidney function. She emphasizes nephrogenomics and precision medicine applications. Recent publications highlight her work in HLA typing , polygenic risk scores , and computational immunogenetics , particularly in transplantation outcomes. Tools developed include SHLARC reference panels and synthetic HLA twin models for privacy-preserving data sharing. She actively collaborates with international consortia and welcomes researchers to join her team at CR2TI, where she integrates multi-omics data into clinical care frameworks.

• Developmental Psychology
• Neuroscience
• Child Development
• +۷ مورد دیگر

Dr. Sonja de Zwarte is an Assistant Professor in the Department of Psychology within the Faculty of Social and Behavioral Sciences at Utrecht University. Her office is located in the Martinus J. Langeveld building at Heidelberglaan 1 in Utrecht. She maintains an active research program focusing on developmental psychology and neuroscience, with particular emphasis on early childhood development and brain imaging. Her research interests span multiple interconnected domains including the critical first 1001 days of child development, prenatal brain development, schizophrenia and bipolar disorder research, genetic risk factors, and the application of artificial intelligence in behavioral analysis. Her work often involves large-scale collaborative efforts through international consortia such as ENIGMA (Enhancing Neuro Imaging Genetics Through Meta Analysis), which enables powerful analyses of brain structure and function across thousands of participants worldwide. Dr. de Zwarte's publication record demonstrates consistent productivity with numerous high-impact publications in top neuroscience and psychiatry journals. Her recent work shows a clear trajectory integrating advanced neuroimaging techniques with genetic analysis to understand developmental pathways in both typical and at-risk populations. She has made significant contributions to understanding how genetic risk factors manifest in brain structure and cognitive function, particularly in relation to schizophrenia and bipolar disorder. Her methodological expertise spans both traditional neuroimaging analysis and cutting-edge applications of artificial intelligence to behavioral data, as evidenced by her recent work on automated segmentation of fetal brain structures using deep learning and automated analysis of parent-child interactions. This interdisciplinary approach positions her work at the intersection of developmental psychology, clinical neuroscience, and computational methods.

Sebastian Zollnerمشاهده پروفایل

استاد

• Statistical Genetics
• Population Genetics
• Copy Number Variation
• +۵ مورد دیگر

Sebastian Zollner is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health, with a secondary appointment in the Department of Psychiatry. His research bridges statistical genetics, computational biology, and psychiatric disease analysis. Education PhD in Biology, University of Munich (2001) MSc in Mathematics, University of Munich (1997) Research Focus : Zollner develops statistical methods to study genome variation, population history, and disease variant mapping. His work addresses challenges in copy number variation, rare variant analysis, and psychiatric genetics, particularly focusing on bipolar disorder and germline mutation patterns. Scientific Contributions : Recent publications highlight advancements in mutation signature analysis, rare variant modeling, and coalescent algorithms, demonstrating expertise in integrating mathematical theory with genomic data. Collaborations : Active in interdisciplinary teams like the Prechter Bipolar Clinical Research Collaborative and BRIDGES Consortium, applying statistical tools to large-scale genomic datasets.

• Developmental Language Disorders
• Bilingual Language Development
• Speech Therapy
• +۴ مورد دیگر

Inge Zink is a Professor at the Faculty of Medicine, KU Leuven, affiliated with the Department of Neuroscience and the Experimental Oto-rhino-laryngology Research Group. She is also a member of the KU Leuven Brain Institute (LBI) and the Interdisciplinary Language Institute (LILI). Her research focuses on developmental language disorders, bilingualism, autism, and genetic variants like 16p11.2 and 22q11.2, with a strong emphasis on early diagnosis and intervention protocols. Unit: Experimental Oto-rhino-laryngology Research Group Membership: LBI, LILI, Biomedical Sciences Evaluation Committee Research Interests: Zink's work explores the intersection of language development, autism, and genetic disorders. She develops diagnostic tools such as the PITTO protocol for bilingual children with developmental language disorders and investigates environmental factors influencing language acquisition in autistic children. Her projects use EEG-based neural envelope tracking and deep phenotyping to analyze language and cognitive trajectories. Publications: Recent studies highlight her focus on bilingual assessment accuracy, genetic variants' impact on language, and gesture comprehension as a screening tool. Her research spans clinical applications and interdisciplinary collaborations. Teaching: Zink contributes to courses in clinical speech therapy, developmental linguistics, and social-communicative skills training, integrating her research into educational frameworks.

James Floryمشاهده پروفایل

دانشیار

• Pharmacoepidemiology
• Diabetes Management
• Clinical Trials
• +۳ مورد دیگر

James Flory is an Associate Professor of Population Health Sciences at Weill Cornell Medical College , Cornell University. With an MD and MSCE from the University of Pennsylvania (2009) and a BA from Columbia University (2002), he specializes in pharmacoepidemiology and clinical research related to diabetes management, drug safety, and healthcare policy. Education: M.D., University of Pennsylvania School of Medicine, 2009 M.S.C.E., University of Pennsylvania School of Medicine, 2009 B.A., Columbia University, 2002 His research focuses on the intersection of diabetes pharmacology , cardiovascular risk , and health services research . He has contributed extensively to understanding drug safety (e.g., sulfonylureas, SGLT2 inhibitors, TRK inhibitors), medication adherence , and clinical decision-making in diabetes and oncology settings. His methodological work includes instrumental variable analysis , pragmatic trial design , and real-world data validation . James Flory's recent publications examine temperature-related diabetes complications , AI in clinical decision support , and policy impacts on medication utilization . His work combines epidemiological methods with health informatics to address critical questions in diabetic care , drug safety surveillance , and health equity .

Laura Almasyمشاهده پروفایل

استاد

• Genetics
• Genomics
• Computational Biology
• +۳ مورد دیگر

Laura Almasy serves as Professor of Genetics in the Department of Genetics at the University of Pennsylvania, with affiliations in the Genomics and Computational Biology Graduate Group. Her work bridges statistical genetics, neuroimaging, and complex trait analysis across psychiatric and cardiovascular domains. Her academic foundation includes a B.A. in Biology and Psychology from Swarthmore College (1990), followed by an M.Phil. (1992) and Ph.D. (1996) in Genetics from Yale University. Postdoctoral training was completed at the Southwest Foundation for Biomedical Research (1996-1998). Research centers on genetic architecture of complex diseases , integrating whole-genome sequencing , gene dosage studies , and neurocognitive phenotyping . Key emphases include schizophrenia risk mechanisms, cardiovascular remodeling in congenital heart disease, and population-specific genetic effects. Recent work leverages cross-ancestry genomic analyses and multimodal trait integration to dissect gene-environment interactions. Analysis of 2024-2025 publications reveals accelerating focus on copy-number variant impacts across cognitive and physiological traits, with growing attention to liver-related genetic regulation and personalized brain network mapping. Collaborative studies consistently incorporate large pedigree designs and transdisciplinary methodologies spanning psychiatry, cardiology, and computational biology. No details regarding scientific awards, student mentorship, grant funding, or laboratory teams were provided in the source material.

Eugene D'Angeloمشاهده پروفایل

استاد بالینی

• Developmental Psychopathology
• Child and Adolescent Psychiatry
• Psychosis Research
• +۵ مورد دیگر

Eugene D'Angelo, PhD is Chief of the Division of Psychology and holds the Linda and Timothy O'Neill Chair in Psychology at Boston Children's Hospital. He is also a Clinical Professor of Psychology in the Department of Psychiatry at Harvard Medical School and serves as Director of the Outpatient Psychiatry Services. Dr. D'Angelo received his PhD from the University of Michigan in 1980 and completed his fellowship at Judge Baker Children's Center/Boston Children's Hospital in 1981. He is board certified in Clinical Psychology from the American Board of Professional Psychology. His research focuses on developmental psychopathology, particularly early symptoms of psychosis in children and adolescents. He works to identify clinically high-risk youth who also show suicidal ideation and to refine identification of behavioral symptoms below age 10. His work examines cognitive correlates between disorganized thinking, social cognition, and interpersonal communication skills. Additionally, he researches adaptations of evidence-based practices for diverse populations, including cultural adaptations for Latino families. His publication record demonstrates expertise across multiple domains including child psychosis, autism spectrum disorders, suicidal behavior, and cultural adaptations of mental health interventions. His research shows progression from basic developmental psychopathology to implementation science, with increasing focus on neurobiological markers and genetic factors related to early-onset psychiatric conditions. Past President, American Academy of Clinical Psychology Past President, Massachusetts Psychological Association Linda and Timothy O'Neill Chair in Psychology Board Certified in Clinical Psychology Throughout his career, Dr. D'Angelo has been involved in clinical training and supervision, contributing to the education of future psychologists. His work bridges research and practice, emphasizing evidence-based approaches to complex clinical problems in children and adolescents. Dr. D'Angelo has established collaborative relationships across multiple institutions and disciplines, working particularly with the Trauma and Community Resilience Center and the Tommy Fuss Center for Neuropsychiatric Disease Research at Boston Children's Hospital.

Megan Freethمشاهده پروفایل

استاد

• Autism Spectrum Disorders
• Neurodevelopmental Psychology
• Social Attention
• +۵ مورد دیگر

Professor Megan Freeth serves as Professor of Neurodevelopmental Psychology and School Director of Research and Innovation at the University of Sheffield's School of Psychology. Her internationally recognized research focuses on improving the lives of autistic individuals through co-produced studies addressing healthcare access, employment barriers, and societal inclusion, while simultaneously investigating autism's expression in rare genetic syndromes using innovative eye-tracking methodologies. Her educational background includes: PhD in Psychology, University of Nottingham MSc in Psychology, University of Nottingham BSc in Psychology, University of Birmingham Professor Freeth's research program centers on three interconnected themes: Societal Barrier Reduction : Conducting co-produced qualitative research to understand and dismantle obstacles faced by autistic people in healthcare systems and employment contexts through interpretative phenomenological analysis. Genetic Syndrome Phenotyping : Leading groundbreaking studies on autism manifestations in Sotos syndrome, Russell-Silver syndrome, SOX11 syndrome, and 16p11.2 copy number variations to unravel autism's heterogeneity. Real-World Social Attention : Utilizing mobile and laboratory eye-tracking to examine how autistic and neurotypical individuals process social cues in naturalistic environments. Analysis of her recent publications (2022-2025) reveals a decisive shift toward participatory research methodologies where autistic individuals actively shape study design and implementation. Her work increasingly addresses systemic barriers in healthcare and employment while expanding genetic syndrome characterization through multimodal assessment. This dual focus on immediate quality-of-life improvements and fundamental neurodevelopmental mechanisms defines her impactful scholarly trajectory. Her scientific recognition includes: Leverhulme Early Career Fellowship (2011-2013) ESRC Post Doctoral Fellowship (2009-2010) Professor Freeth maintains an active supervisory portfolio with current PhD students Nazli Altin (primary), Aikaterini Giannadou, Louise Stokes, Jiayi Chen (co-supervision), and DClin student Rosie Wilson. Her research program is sustained by major funding including NIHR PDG (£148,622), NIHR RfPB (£249,883), and Colt Foundation (£80,953) grants focused on participatory systems mapping, post-diagnostic assessment, and employment barrier reduction respectively. She directs the Sheffield Autism Research Lab (ShARL) within the University's Neuroscience Institute, leading interdisciplinary teams comprising cognitive neuroscientists, clinical psychologists, and geneticists. Her research group's collaborative approach with autistic communities and healthcare providers ensures direct translation of findings into practice through the International Classification of Functioning framework.