جست‌وجوی استاد و پژوهشگر

Hani Goodarziمشاهده پروفایل

دانشیار

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

Hani Goodarzi, PhD , is an Associate Professor in the Department of Biochemistry and Biophysics at the University of California, San Francisco (UCSF), with dual affiliation to the Arc Institute and Helen Diller Cancer Center. His laboratory employs a systems biological framework integrating computational and experimental approaches to investigate metastatic progression in cancer and neurodegenerative diseases. Princeton University PhD in Quantitative & Computational Biology Postdoctoral Fellow, Rockefeller University (Cancer Systems Biology) NIH R01 Grants (2016–2026) Research Themes : Machine learning for in silico functional genomics Evolutionary dynamics of oncRNA regulatory modules in cancer Post-transcriptional control via tiRNA fragments and RNA methylation RNA structural element discovery using pyPAGE algorithms Scientific Recognition : Vilcek Prize for Creative Promise (2022) NIH K99/R00 Award (2015) Tri-Institutional Breakout Prize (2014) Blavatnik Regional Award (2015) Laboratory Impact : Developed Deep Generative AI for early-stage lung cancer detection Identified ENPP1 as innate immune checkpoint in breast cancer Created pyPAGE framework for gene-set enrichment analysis

Rhodri Ivor Lengمشاهده پروفایل

مدرس

• Sociology of Science
• Scientometrics
• Metascience
• +۴ مورد دیگر

Rhodri Leng is a Lecturer in Science and Technology Studies at the University of Edinburgh's School of Social and Political Science, where he has been employed since January 2024. His academic journey includes a PhD and MSc(R) in Science and Technology Studies from Edinburgh, an MA in Political and Legal Theory from the University of York, and an MA in Politics from the University of Glasgow. Research Focus: Leng specializes in the sociology of scientific development, examining how scientific knowledge spreads, influences opinion, and evolves within communities. His mixed-method approach combines computational techniques like citation network analysis and text mining to study: Dynamics of scientific literature and citation practices Detection of citation bias and distortion Integration of computational methods in scientific reviews Research integrity and impact assessment His work spans biomedical, astrophysics, and policy domains. Publications: Leng's 13 most recent journal articles (2018-2024) demonstrate consistent focus on scientometrics, genomics, neuroscience, and policy studies. Key themes include citation network analysis (10 papers), scientific controversies (5 papers), and computational methods in humanities (8 papers), with increasing attention to metascience and research evaluation in recent years. Awards & Honors: ESRC Postdoctoral Fellowship (2020-2021) ESRC Advanced Quantitative Methods PhD Studentship (2016-2019) EUSA Teaching Award for 'Best Student Who Tutors' (2019) Supervision & Grants: He welcomes PhD/Master's students interested in science policy, field development, or evidence-use practices. Previously secured ESRC funding for projects on selective citation analysis. Developed online courses in systematic literature review and network analysis for biomedical/social sciences. Professional Background: Before academia, Leng worked in UK politics as parliamentary/policy officer. From 2021-2024, he conducted industry research at Baillie Gifford, focusing on sociotechnical transitions and scientific mapping for investment strategies.

Ramya Korlakai Vinayakمشاهده پروفایل

استادیار

• Machine Learning
• Statistical Inference
• Crowdsourcing
• +۲ مورد دیگر

Ramya Korlakai Vinayak is the Dugald C. Jackson Assistant Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. She also holds affiliations with the Department of Computer Science and the Department of Statistics at UW-Madison. Her research program bridges theoretical machine learning with practical applications in data science and crowdsourcing. Education: PhD in Electrical Engineering from California Institute of Technology (Caltech), advised by Prof. Babak Hassibi B.Tech in Electrical Engineering with minor in Physics from Indian Institute of Technology Madras (IIT Madras) Dr. Vinayak's research focuses on developing theoretically grounded machine learning tools for reliable inference using data from human sources. Her work spans machine learning theory, statistical inference, and crowdsourcing systems, with particular emphasis on preference learning, metric learning, and robust dataset construction. She has pioneered methods for learning from limited pairwise comparisons, auto-labeling systems, and human-in-the-loop out-of-distribution detection. Her recent publications reveal a consistent trajectory toward building practical machine learning systems that incorporate human feedback while maintaining theoretical guarantees. The pattern shows increasing focus on ethical considerations in AI, particularly regarding bias in generative models and reliable human-AI collaboration frameworks. Scientific Awards: Faculty for the Future fellowship (2013-2015) from Schlumberger Foundation NSF CAREER Award American Family Funding Initiative Award with Fred Sala Dr. Vinayak leads an active research group with multiple PhD students across ECE and CS departments. She has secured significant research funding including an NSF grant for "Uncovering the cognitive and neural fingerprints that make each of us unique" in collaboration with Tim Rogers, Rob Nowak and Brad Postle. She is also co-organizing the MidWest Machine Learning Symposium and NeurIPS tutorials on dataset construction. Her research group operates at the intersection of theory and practice, developing mathematically grounded frameworks that address real-world challenges in dataset construction, human-AI collaboration, and reliable machine learning systems.

Hannah Mitchisonمشاهده پروفایل

استاد

• Genetics
• Genomic Medicine
• Rare Diseases
• +۵ مورد دیگر

Professor Hannah Mitchison is a leading academic at University College London (UCL) , where she serves as Professor of Molecular Medicine in the Genetics & Genomic Medicine Department at the UCL Great Ormond Street Institute of Child Health. She is Head of the department (2022–present) and has held leadership roles in the Ciliopathy Alliance and UK Cilia Network . Her research focuses on ciliopathies and genetic mutations in rare diseases, particularly Primary Ciliary Dyskinesia (PCD) . PhD in Biochemistry (University of Birmingham, 1991) BSc (Hons) in Biochemistry (University of Sussex, 1986) Her research spans genetic discovery , functional studies of ciliary proteins , and translational genetic therapies for PCD and related disorders. Recent work includes large-scale genomic analyses with the 100,000 Genomes Project and developing the CiliaVar database for motile ciliopathy variants. She also explores genotype-phenotype correlations in PCD cohorts across the UK, Finland, and Palestine. Her teaching roles include supervising PhD and MSc students, lecturing on UCL’s MSc Cell & Gene Therapy and Genomic Medicine programs, and leading the module Genomics of Common and Rare Inherited Diseases . She is co-lead for UCL on the Health Education England-supported MSc Genomic Medicine course. Scientific contributions include over 170 journal articles, with recent high-impact publications in Nature , Science , and European Respiratory Journal , emphasizing genomic approaches and novel therapies for ciliopathies. Collaborations with clinical teams and patient advocacy groups like the Ciliopathy Alliance underscore her translational focus. Funding comes from organizations including the Medical Research Council (MRC), Biotechnology and Biological Sciences Research Council (BBSRC), and NIHR Great Ormond Street Hospital Biomedical Research Centre.

• Adrenal Development
• Reproductive Development
• Transcriptomics
• +۱۰ مورد دیگر

Prof John Achermann is a Clinical Professor of Paediatric Endocrinology at the Genetics & Genomic Medicine Department , University College London (UCL), with an active role at the UCL GOS Institute of Child Health since 2023. His career spans clinical and research expertise in adrenal and sex development , genetic mechanisms of disease , and nuclear receptor biology , highlighted by over 200 publications and an h-index of 67. Education: Bachelor of Arts (Honours), University of Cambridge (1988) Bachelor of Medicine, University of Cambridge (1990) Master of Arts, University of Cambridge (1992) Doctor of Medicine (MD), University of Cambridge (1997) Doctor of Philosophy (PhD), University of Cambridge (2011) His research focuses on molecular genetics of adrenal and reproductive development , integrating transcriptomics and genomic medicine to understand disorders like Turner syndrome, Disorders of Sex Development (DSD), and adrenal insufficiency. Recent work includes single-cell analyses of fetal gonads , exome sequencing for DSD/POI , and NR5A1/SRY regulatory mechanisms . Key awards include the 2025 ESPE Research Award , 2023 Henning Andersen Prize , and 2016 Clinical Endocrinology Trust Lecturer Medal . Scientific Awards: ESPE Research Award (2025) Henning Andersen Prize (2023, 2007) Clinical Endocrinology Trust Lecturer Medal (2016) SPARKS/RCPCH Young Investigator (2007) ESPE Young Investigator (2002) Noble Prize for MD Thesis (1998) As Head of the Molecular Basis of Rare Disease Section and Deputy Head of Genetics & Genomic Medicine at UCL GOS Institute of Child Health, he bridges clinical practice with translational research. He contributes to undergraduate and postgraduate medical education , supervises MSc projects, and serves on the ESPE Local Organising Committee for 2024. His work aligns with UN Sustainable Development Goals for Good Health & Well-Being and Gender Equality .

Gary Schindelmanمشاهده پروفایل

استاد

• Biochemistry
• Molecular Biology
• Genomics
• +۷ مورد دیگر

Gary Schindelman is a Professor of Biochemistry at Occidental College and a biological curator for WormBase at Caltech. He earned his B.S. from the State University of New York at Binghamton and his Ph.D. from New York University. Appointed in 2005, he also serves as a Department Co-Chair in Biochemistry. Email: schindelman@oxy.edu Office: Bioscience 208A Office Hours: Tuesday 9:45 – 11:45 a.m., Wednesday 1:00 – 2:00 p.m., and by appointment (Zoom or in person) Dr. Schindelman's research focuses on Biochemistry, Molecular Biology, Genomics , and Computational Biology , particularly in C. elegans and Arabidopsis models. His work spans enzyme kinetics, RNA biology, cellulose microfibril orientation, and bioinformatics tools for nematode research. He has contributed to WormBase, a key resource for nematode genomics, and explored ventral nerve cord functions in C. elegans behavior. His publications highlight expertise in genomic databases , phenotype ontologies , and plant cell expansion mechanisms . He received the Donald R. Loftsgordon Memorial Award for Outstanding Teaching in 2015. Dr. Schindelman teaches courses including Molecular Biology (BIO 221) , Principles of Biochemistry (BIO 322) , and Biochemistry I (BIO 349) , covering DNA/RNA/protein structure, enzyme function, intermediary metabolism, and biochemical techniques.

Nora J. Besanskyمشاهده پروفایل

استاد

• Genetics & Genomics
• Evolutionary Biology
• Entomology
• +۵ مورد دیگر

Nora J. Besansky is the Martin J. Gillen Professor in the Department of Biological Sciences at the University of Notre Dame, where she has been a faculty member since 1997. She leads a research laboratory focused on the evolutionary, ecological, and functional genomics of malaria-transmitting mosquitoes, particularly Anopheles species in Africa. Her research interests span Genetics & Genomics , Evolutionary Biology , Entomology , Ecology , and Infectious Disease . She investigates how genomic variation, chromosomal inversions, and environmental adaptation influence vector behavior, population structure, and malaria transmission dynamics. Her work integrates molecular biology, field ecology, and bioinformatics to advance vector control strategies. Her recent publications reveal a strong focus on Anopheles genomics, species divergence, environmental adaptation (e.g., aridity, salinity, heat), and population structure across Africa. She frequently contributes to high-impact journals such as Nature , Science , and Molecular Ecology , often in collaboration with international consortia like the Anopheles 1000 Genomes Project. Her scientific contributions include editorial leadership and tribute articles recognizing pioneers in vector biology, reflecting her standing in the field. She advises graduate students and leads a dynamic research team at Notre Dame. Her laboratory has received continuous funding for projects on vector genomics, adaptation, and malaria epidemiology. She has held prior research positions at the CDC and Emory University, building a career at the intersection of public health and evolutionary genomics. Her lab operates at the forefront of vector biology, combining cutting-edge genomic technologies with ecological field studies to address one of the world’s most persistent infectious disease challenges—malaria.

Geoffrey Bartonمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Protein Structure Prediction
• +۴ مورد دیگر

Professor Geoffrey Barton is the Chair of Bioinformatics at the Computational Biology department within the School of Life Sciences at the University of Dundee . With a career spanning decades, he has been pivotal in advancing bioinformatics tools and methodologies for analyzing biological data, particularly in protein structure prediction and RNA sequencing. Core Research Interests : Protein structure and function prediction, computational methods for large biological datasets, small RNA analysis, and integration with wet-lab collaborations across plants, model organisms, and human disease. Awards : Fellow of the Royal Society of Edinburgh (2019) Fellow of the Royal Society of Biology (2011) Brian Cox Prize for Excellence in Public Engagement with Research (2023) Publications and Software : He leads the development of widely used tools like JPred (25,000+ predictions/month) and Jalview (55,000+ installations). His group's work spans proteomics, transcriptomics, and structural genomics, addressing questions in basic science and clinical applications. Media and Collaboration : Available for media commentary on bioinformatics and computational biology, he collaborates extensively with international institutions, including the University of Cambridge and Oxford.

Ulrich Zachariaeمشاهده پروفایل

استاد

• Computational Biophysics
• Molecular Biophysics
• Antimicrobial Resistance (AMR)
• +۷ مورد دیگر

Professor Ulrich Zachariae is a Professor of Molecular Biophysics at the University of Dundee , affiliated with the School of Life Sciences and the Biological Chemistry and Drug Discovery department. He obtained his PhD in 2004 from the Max Planck Institute for Biochemistry and held postdoctoral roles at the Max Planck Institute for Biophysical Chemistry before transitioning to industry at AstraZeneca. His research focuses on membrane protein function , particularly ion channels and cell surface receptors , and employs computational methods such as molecular simulations and data-driven approaches to combat antimicrobial resistance . Recent work includes elucidating ion selectivity mechanisms, improving antibiotic bioavailability, and developing tools like State-Specific Information (SSI) to analyze protein-water dynamics. Key trends in his publications span biomolecular simulations , computational drug discovery , and structural biology , with a strong emphasis on ion channels and GPCRs in 2025, antimicrobial resistance in 2024, and foundational work on K+ channels in 2018. Professor Zachariae leads the MSc in Biological Data Science program and contributes to teaching modules in Biomolecular Structure and Interactions . His collaborations include institutions like St Andrews University and Trinity College Dublin , with funding from the Biotechnology and Biological Sciences Research Council (BBSRC) .

Christopher A. Lowryمشاهده پروفایل

دانشیار

• Neural mechanisms of emotional behavior
• Stress physiology
• Psychoneuroimmunology
• +۵ مورد دیگر

Christopher A. Lowry is an Associate Professor and Associate Chair of Faculty Affairs in the Department of Integrative Physiology within the College of Arts and Sciences at the University of Colorado Boulder. His research focuses on the intersection of neuroscience, immunology, and mental health, with particular emphasis on the gut-brain axis and psychoneuroimmunology. He maintains an active research laboratory that investigates the neural mechanisms underlying emotional behavior and stress responses. Dr. Lowry completed his B.A. Hons. at the University of Wyoming (1983-1987) followed by a Ph.D. at Oregon State University (1987-1995). His postdoctoral training took place at the University Research Centre for Neuroendocrinology, University of Bristol, UK, where he held multiple prestigious fellowships including the Neuroendocrinology Charitable Trust Fellowship (2002-2003) and the Wellcome Trust Intermediate Level Research Fellowship (2003-2007). His research program investigates how the immune system communicates with the brain to influence emotional behavior and stress responses, with particular focus on how microorganisms in the gut influence brain function and mental health. His work bridges disciplines including neuroscience, immunology, microbiology, and psychiatry, and has significant implications for understanding anxiety disorders, depression, and stress-related conditions. Dr. Lowry's laboratory has pioneered research on how environmental microorganisms may promote stress resilience through immunoregulatory mechanisms. Analysis of Dr. Lowry's recent publications reveals a strong focus on the gut-brain axis, particularly how the microbiome influences mental health conditions. His work spans from basic research on neural mechanisms to clinical applications, with increasing emphasis on the role of oral and gut microbiota in neuropsychiatric disorders. His research demonstrates an interdisciplinary approach that integrates neuroscience, immunology, and microbiology to understand the biological basis of emotional behavior. National Institute of Mental Health National Research Service Award (NRSA) Predoctoral Fellowship Neuroendocrinology Charitable Trust Research Fellow Wellcome Trust Research Fellow Young Investigator Award, NARSAD (twice) National Science Foundation (NSF) CAREER Award Anxiety Disorders Association of America (ADAA) Donald F. Klein Early Career Investigator Award University of Colorado Boulder Provost's Faculty Achievement Award Dr. Lowry has secured substantial research funding including an NSF CAREER Award (2009-2014) and multiple project grants focused on the gut-brain axis and stress physiology. His laboratory, the Psychoneuroimmunology Laboratory, maintains active collaborations with researchers across disciplines including microbiology, psychiatry, and dentistry. Current research directions include investigating how environmental microorganisms may promote stress resilience, examining the role of periodontal pathogens in neuropsychiatric conditions, and exploring the therapeutic potential of psychobiotics for mental health disorders.

Susann Müllerمشاهده پروفایل

دانشیار

• Microbial Ecology
• Flow Cytometry
• Environmental Biotechnology
• +۵ مورد دیگر

Prof. Dr. Susann Müller is Senior Scientist and Group Leader of the Flow Cytometry Working Group at the Department of Applied Microbial Ecology, Helmholtz Center for Environmental Research (UFZ) in Leipzig, Germany. Since 2011, she has held an Associate Professor position for Microbiology at Leipzig University’s Faculty of Life Sciences, bridging fundamental microbial ecology with environmental biotechnology applications through single-cell analytics. Education: 1985: Diploma in Biochemistry, Martin Luther University Halle-Wittenberg 1992: PhD, University of Halle-Wittenberg (Population dynamics of S. cerevisiae) 2003: Habilitation, Technical University Dresden (Multiparametric Cytometry) Her research pioneers microbial community flow cytometry to extract single-cell high-dimensional data, applying macroecological concepts to quantify stability metrics (resistance, resilience, displacement speed, elasticity) in engineered systems. Current focus includes bio-based circular economy initiatives: developing the carboxylate platform for sustainable chemical production and biological phosphate recovery from wastewater streams for resource valorization. Recent publications (2021-2025) reveal consistent innovation in flow cytometry applications, with emphasis on stability assessment in bioreactors, predator-prey dynamics in complex communities, and real-time monitoring of wastewater systems. She integrates ecological theory with multi-omics and data science to decode microbial assembly principles across environmental, agricultural, and industrial contexts. Professional roles: President, German Society of Cytometry (DGfZ, 2008-2010) Associate Editor, Microbiology for Cytometry Part A ISAC Educational Committee (2011-2012) and Scholars Program Committee (2013-2015) Current grants: PHOM project (SMWK InfraProNet 2024-2027): €449,160 for wastewater phosphorus recovery Z-PROJECT (DFG 2022-2025): €556,550 for bacterial biofilm analysis PROMICON (EU H2020 2021-2025): €200,000 for industrial microbiome consortia Moore Foundation (2020-2024): $23,000 for archaeal evolutionary tools Chinese Scholarship Council (2022-2026): Artificial community construction The Flow Cytometry Working Group under her leadership at UFZ develops standardized mock communities (Nature Protocols 2020), automated analysis tools (flowEMMi), and cytometric barcoding methods. It collaborates with Leipzig University, Technical University Dresden, and international partners including UC Santa Barbara, driving innovations in real-time environmental monitoring and wastewater treatment optimization.

Daniel Weissmanمشاهده پروفایل

استادیار

• Population Biology
• Ecology
• Evolution
• +۵ مورد دیگر

Daniel Weissman is an Assistant Professor at Emory University with a primary appointment in the Department of Physics and an associated faculty position in Biology. He is affiliated with the Program in Population Biology, Ecology, and Evolution and leads the Weissman Lab focused on theoretical approaches to evolutionary biology. Ph.D., Stanford University, 2010 BA, Harvard University, 2005 Weissman's research bridges theoretical physics and evolutionary biology, developing mathematical models to predict evolutionary outcomes. His work spans population genetics, spatial structure in populations, pathogen evolution, and genomic data inference. A central goal is to develop frameworks that translate genetic sequencing data into evolutionary predictions, with applications from antibiotic resistance to viral evolution. His research particularly investigates how functional and statistical interactions among genes affect evolution, the role of spatial structure in adaptation, and inferring microbial population dynamics. Analysis of Weissman's publication record from 2017-2024 reveals a progression from fundamental theoretical questions about adaptation and spatial structure toward more applied questions in infectious disease dynamics. His work consistently explores how spatial structure, recombination, and population heterogeneity influence evolutionary processes, with increasing attention to SARS-CoV-2 and bacterial pathogens like Staphylococcus aureus and Plasmodium falciparum. A notable theme is the investigation of how synchronized dispersal and sexual reproduction affect adaptation rates in structured populations. Weissman leads the Weissman Lab, located in the Math & Science Center N244 at Emory University. The lab focuses on building and analyzing models of biological populations to predict their future evolution, with particular emphasis on developing theoretical frameworks that can translate genomic data into evolutionary predictions. His research has received funding from the National Science Foundation, Simons Foundation, and Alfred P. Sloan Foundation.

Sandra Safoمشاهده پروفایل

دانشیار

• Multivariate Statistical Analysis
• High-dimensional data
• Data integration
• +۱۴ مورد دیگر

Sandra Safo is an Associate Professor in the Division of Biostatistics and Health Data Science within the College of Science and Engineering at the University of Minnesota. She serves as Graduate Faculty in Bioinformatics and Computational Biology and Data Science. Education: PhD in Statistics, University of Georgia, 2014 MSc in Applied Mathematics, The University of Akron, 2009 BA in Mathematics and Economics, University of Ghana, 2006 Research Interests: Dr. Safo develops robust, explainable statistical and machine learning methods for high-dimensional data including multivariate analysis, integrative multi-omics data fusion, discriminant analysis, classification, clustering, and functional data analysis. Her applied work focuses on cardiovascular diseases in HIV populations, diabetes complications, and metabolomics with emphasis on social determinants of health. Scientific Awards and Recognition: COPSS Emerging Leader Award, 2024 McKnight Land-Grant Professor, 2023-2025 NIH ESI Outstanding Award, 2021-2026 International Statistical Institute Member, 2022 NIH ASPA Standing Member, 2022-2026 UMN CTSI KL2 Scholar, 2018-2021 BIRCWH Scholar, Emory University, 2016-2017 PRIDE Scholar, Washington University, 2016-2018 Grants and Leadership: Principal Investigator on NIH Maximizing Investigators' Research Award (MIRA R35), Administrative Supplements from NIA and Office of Data Science and Strategy, and UMN internal grants. Leads development of the Integrative Modeling Dashboard for multi-view data analysis. Computational Resources: Creator of open-source tools including iDeepViewLearn (interpretable deep learning), DeepIDA-GRU (longitudinal data integration), SIDA (multi-view association studies), and HIP (joint association prediction) available on GitHub.

Robert Nordonمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Advanced Manufacturing
• Medical Technologies
• +۵ مورد دیگر

Associate Professor Robert Nordon is a faculty member at UNSW Sydney's Graduate School of Biomedical Engineering. He holds an MB BS, BMedSci, and PhD, with research focusing on advanced manufacturing and medical technologies. Since 2016, he has secured over $5M in research grants for projects in point-of-care diagnostics, cell/gene therapy manufacturing, and stem cell science. Research interests span three primary domains: Developing microfluidic single-use disposables for scalable clinical cell production Modeling cardiovascular development using stem cell-based microfluidic systems Creating computational tools for single-cell analysis and lineage tracking His publications (2017-2024) demonstrate strong emphasis on microfluidic device engineering, stem cell dynamics, and biomaterials development. Recurring themes include hematopoietic stem cell expansion, cardiac cell behavior, and peptide-based biomaterials. Significant grants include: ARC Linkage Grant LP160100570: Scaling microfluidics for cell manufacture (2016-2019) ARC Linkage Grant LP160100573: 3D microstructures for medical devices (2016-2019) ARC Linkage Grant LP190100029: Electrophoretic cell sorters (2020-2023) CRC-P: Microbioreactor for affordable cell/gene therapy (2021-2023) Current research trainees include Farzaneh Ziaee and Eric Du.

• Genomics
• Non-coding RNA research
• Phenotype-genotype relationships
• +۷ مورد دیگر

Professor Marcel Dinger is a prominent academic and researcher currently serving as Professor and Head of School for Biotechnology and Biomolecular Sciences at UNSW Sydney. With over 20 years of experience in genomics, he has established himself as a leading figure in both academic and entrepreneurial spheres within the field. He has published 153 papers with over 24,000 citations and maintains an h-index of 61 on Google Scholar. His leadership extends beyond academia as he serves as President of the Australasian Genomics Technologies Association (AGTA) and holds director positions at Pryzm Health and the National Centre for Indigenous Genomics (NCIG). Professor Dinger's research laboratory focuses on establishing new links between phenotype and genotype, particularly examining rare and complex diseases in relation to underexplored regions of the genome including pseudogenes, repetitive elements, non-canonical DNA structures, and noncoding RNAs. His work harnesses population-scale genomic datasets and sophisticated data science methods to bring an objective perspective to understanding how the genome stores information and how it is transacted in biology. His research interests span genomics, non-coding RNA biology, clinical applications of genomic medicine, and the development of computational approaches for analyzing complex genomic data. Analysis of Professor Dinger's recent publications reveals a strong emphasis on non-coding RNA research, particularly long noncoding RNAs and their roles in disease mechanisms. His work spans cancer genomics, neurological disorders, and fundamental genomic mechanisms including DNA secondary structures like i-motifs and G-quadruplexes. His research combines experimental approaches with advanced bioinformatics to address fundamental questions in genomic medicine and has significant translational implications for disease diagnosis and treatment. Highly Cited Researcher in Cross-Field category (2019, 2020, 2021) Fellow of the Faculty of Science (Research), Royal Society of Pathologists of Australasia (2016) NHMRC Career Development Award (2010) Queensland Government Smart Futures Fellowship (2009) Foundation of Research, Science and Technology New Zealand Postdoctoral Fellowship (2005) Professor Dinger has been instrumental in establishing and leading several significant research initiatives including Genome.One, one of the first companies globally to provide clinical whole genome sequencing services, and the Kinghorn Centre for Clinical Genomics at the Garvan Institute of Medical Research. His entrepreneurial experience includes founding four biotechnology and IT startups. He serves on multiple governance boards including the National Centre for Indigenous Genomics, focusing on using genomics to improve health outcomes for Australia's First Peoples. His laboratory at UNSW continues to advance our understanding of genomic regulation and its implications for human health and disease.