جست‌وجوی استاد و پژوهشگر

Jean (Jiayu) Wenمشاهده پروفایل

دانشیار

• RNA Biology
• Computational Biology
• MicroRNA Regulation
• +۵ مورد دیگر

Associate Professor Jean (Jiayu) Wen holds positions at The Australian National University (ANU), including Group Leader of The Wen Group, ARC Future Fellow, and Deputy Director of The Shine-Dalgarno Centre for RNA Innovation. She specializes in computational and molecular biology, focusing on RNA regulation, gene expression, and cancer genomics. Her affiliations include ANU’s Division of Genome Sciences and Cancer, and the Centre for Computational Biomedical Sciences. Education: BEng in Electronic Engineering (Beijing), MSc in Computer Science (Lakehead University), PhD in Computational Biology (ANU). Postdoctoral training at Copenhagen University and Memorial Sloan-Kettering Cancer Center. Research interests span RNA structures, microRNA biogenesis, transcriptome dynamics, and epigenetic regulation. Her work addresses intragenomic conflicts, cancer mechanisms, and neural development. Notable projects include RNA-based machine learning models for RNA-RNA interactions and immune cell differentiation studies. Publications highlight contributions to RNA interference pathways, tumor development, and Drosophila genetics. Awards include the ARC Future Fellowship. She leads interdisciplinary teams advancing computational and experimental approaches in genomics and systems biology.

Jau-Nian Chenمشاهده پروفایل

استاد

• Cardiovascular Development
• Zebrafish Genetics
• Cardiac Biology
• +۴ مورد دیگر

Jau-Nian Chen is a Professor in the Department of Molecular, Cell and Developmental Biology at the University of California Los Angeles within the College of Letters and Science. His research focuses on the molecular mechanisms underlying cardiac development, with a particular emphasis on using zebrafish as a model system to study heart formation, function, and disease. Chen's research program centers on cardiac development and gene regulatory networks, with significant contributions to understanding transcriptional regulation in heart development. His laboratory investigates how transcription factors and chromatin regulators control cardiac specification, morphogenesis, and function. A major focus of his recent work involves the Rtf1 component of the PAF1 complex and its role in transcriptional elongation during cardiogenesis. His research spans multiple areas including cardiac arrhythmia mechanisms, mitochondrial calcium handling in cardiomyocytes, and the genetic regulation of cardiac proliferation during development and regeneration. Analysis of his recent publications reveals a strong focus on transcriptional regulation in cardiac development, particularly through the PAF1 complex and Rtf1. His work increasingly integrates molecular genetics with functional physiology in zebrafish models to understand both normal cardiac development and disease mechanisms. The research spans from basic developmental mechanisms to potential therapeutic applications, with particular emphasis on calcium signaling, transcriptional control, and cardiac regeneration. Dr. Chen has been Principal Investigator on multiple NIH-funded research projects, including the current R01 grants "Impacts of transcription elongation on cardiac gene regulation during homeostasis and regeneration" (R01HL155905) and "Rtf1-dependent transcriptional regulation of heart development" (R01HL140472). His research program has been continuously funded by the National Institutes of Health since 2001, demonstrating sustained scientific impact in the field of cardiovascular development.

Ana Fiszbeinمشاهده پروفایل

استادیار

• Gene Regulation
• RNA Processing
• Systems Biology
• +۳ مورد دیگر

Ana Fiszbein is an Assistant Professor of Biology at Boston University, specializing in gene regulation and RNA processing. Her lab employs high-throughput genomics, bioinformatics, and molecular approaches to study co-transcriptional gene regulation in mammalian systems, with a focus on cancer genomics and therapeutic strategies. She earned her PhD from the University of Buenos Aires and leads research on how gene architecture influences transcriptional programs. Her research interests include understanding the interplay between transcription and splicing, particularly through phenomena like Exon-Mediated Activation of Transcription Starts (EMATS). The lab develops computational tools like evopython to predict gene regulatory networks and designs strategies to manipulate gene expression for therapeutic applications. Current projects explore promoter-driven RNA processing decisions, transcriptional interference between promoters, and the connection between transcript initiation and termination. The lab actively recruits undergraduate, graduate, and postdoctoral researchers. Key findings include the discovery of hybrid exons and splicing-dependent transcriptional control mechanisms.

Yuki Ogawaمشاهده پروفایل

استادیار

• Neurobiology
• Neuronal Structure
• Neural Connectivity
• +۶ مورد دیگر

Yuki Ogawa is an Assistant Professor in the Department of Biological Sciences at the University of South Carolina , affiliated with the College of Arts and Sciences . Her research focuses on the molecular mechanisms governing neuronal structure and connectivity, particularly the role of the axon initial segment (AIS) in synaptic formation and neuropsychiatric disorders like autism spectrum disorders . Her lab employs proteomics , adeno-associated viral vectors , and CRISPR genome editing to study AIS development and synapse maintenance. They also prioritize biochemical tool development to address unresolved neuroscience questions. Key collaborators include Matthew Rasband and Elisa V. de Freitas . Recent publications explore K2P K+ channel clustering , TRIM46 function , and localized gene transfer methods . The lab's work intersects neurobiology , cellular dynamics , and neuroengineered therapies , with implications for neuropsychiatric disease mechanisms. For inquiries, contact her at yuki.ogawa@sc.edu or visit the Ogawa Lab Website .

Kristen W. Lynchمشاهده پروفایل

استاد

• RNA Biology
• Alternative Splicing
• Alternative Polyadenylation
• +۷ مورد دیگر

Kristen W. Lynch, PhD, is the Benjamin Rush Professor of Biochemistry and Chair of the Department of Biochemistry and Biophysics at the Perelman School of Medicine, University of Pennsylvania. She leads research at the Lynch Lab and co-directs the Institute for RNA Innovation , focusing on RNA processing mechanisms in human immune responses. Education: Harvard University (B.A. 1990, Ph.D. 1996) Postdoctoral Training: University of California, San Francisco (1997-2001) Her work bridges RNA splicing , alternative polyadenylation , and gene regulation in immune cells and cancer. She discovered kinase pathways controlling RNA-binding protein (RBP) activity and demonstrated how antigen stimulation and viral infections reprogram splicing networks to modulate immunity. Collaborative studies with oncologists revealed splicing defects phenocopying genetic mutations in leukemias and identified therapeutic vulnerabilities in RNA processing . Her recent publications highlight TREX-2 complex in mRNA export, hnRNP L repressing cryptic exons, and DDX39B structural analysis . Collaborations span RNA-Seq , splicing codes , and epithelial cell post-transcriptional programs . She explores spliceosomal assembly mechanisms and signal-responsive RBPs in T cells and influenza pathogenesis.

Alan Dombkowskiمشاهده پروفایل

استاد

• Molecular Neuroscience
• Genomics
• Bioinformatics
• +۴ مورد دیگر

Alan Dombkowski is a Professor of Pediatrics at Wayne State University School of Medicine, specializing in molecular mechanisms of neurological disorders through genomic and bioinformatic approaches. Key research focus: Epileptogenic potential of cortical tubers in Tuberous Sclerosis Complex (TSC) Methods: Next-gen sequencing, microarrays, proteomics, and epigenetic analysis of human brain tissue Current projects funded by federal grants examining microRNA regulation and therapeutic targets in epilepsy Recent publications span: 2024: Cisplatin-induced cochlear synaptic proteomics 2023: Multi-omic biomarkers for prostate cancer aggressiveness 2021: Exosomal miRNA in TSC epilepsy 2018: Neuroinflammatory mechanisms in pediatric epilepsy Collaborations include Harry Chugani (neuroimaging), Diane Chugani (neurochemistry), Eishi Asano (epileptology), and Paul Stemmer (molecular pharmacology).

Rui Chenمشاهده پروفایل

پژوهشگر

• Genomics
• Machine Learning
• Cancer Biology
• +۳ مورد دیگر

Rui Chen, PhD, is a Researcher in the Department of Molecular Physiology and Biophysics at Vanderbilt University School of Medicine. Their work focuses on integrating multi-omics data with advanced computational methods to uncover genetic mechanisms in complex diseases, including schizophrenia, cancer, and neurodevelopmental disorders. Dr. Chen’s research emphasizes leveraging machine learning for precision medicine applications, such as predicting cancer outcomes and identifying druggable genes. Key areas of expertise include functional genomics, Bayesian statistical frameworks, and computational tool development for genomic data quality control (e.g., the DRAMS tool). Their studies often bridge basic science and clinical translation, using zebrafish models and biobank resources for disease discovery. Dr. Chen has contributed to advancements in understanding gene regulatory networks in plants (e.g., rice stamen development) and has pioneered methods for analyzing non-coding variants using deep learning. Their work consistently addresses translational challenges in genetics, such as improving rare variant association studies and refining GWAS interpretations through multi-omics integration. Contact: rui.chen.1@vanderbilt.edu

Stefan Hüttelmaierمشاهده پروفایل

استاد

• Molecular Biology
• Cancer Biology
• RNA Biology
• +۳ مورد دیگر

Stefan Hüttelmaier is a Full Professor of Molecular Cell Biology at Martin-Luther University Halle-Wittenberg, Germany. He leads the Core Facility Imaging at the Charles Tanford Protein Center and directs research into RNA-binding proteins' roles in cancer. His career includes postdoctoral work at Albert Einstein College of Medicine and leadership roles in the RTG 1591 research group. His work focuses on RAVER1 protein dynamics, perinucleolar compartments, and RNA metabolism in cancer progression. Education: PhD in Biotechnology (2000, University of Braunschweig), postdoctoral training at Albert Einstein College of Medicine (2001–2004). Academic milestones include Associate Professor (2009) and Full Professor (2014) positions. Research spans RNA-protein interactions, cancer biology, and translational mechanisms in tumors. Key research interests include RNA-binding proteins' roles in cancer (RAVER1, IGF2BP1), alternative splicing, and miRNA regulation. His lab investigates how these molecules influence cancer cell behavior, metastasis, and therapeutic resistance. Recent work highlights druggable targets like IGF2BP1 and mechanisms linking RNA modifications to oncogenesis. Leadership roles include RTG 1591 speaker and Core Facility director. Publications emphasize RNA biology in cancer, with contributions to understanding post-transcriptional control and therapeutic strategies targeting RNA pathways. His interdisciplinary approach combines molecular biology, biochemistry, and computational modeling to address clinical challenges in oncology.

Seongho Songمشاهده پروفایل

استاد

• Bayesian Statistics
• Biostatistics
• Statistical Modeling
• +۵ مورد دیگر

Seongho Song is a Professor and Undergraduate Program Director in the Department of Mathematical Sciences at the University of Cincinnati. He holds a Ph.D. in Statistics from the University of Connecticut (2005). His research focuses on Bayesian statistical methods, biostatistics, and computational biology, with applications in genetics, environmental science, and healthcare. Song has led or collaborated on grants totaling over $4.7M, including projects funded by DARPA, NIH, and the Korea Institute of Ocean Science and Technology. Education: Ph.D. in Statistics, University of Connecticut (2005) Positions: Assistant (2005-2011) → Associate (2011-2019) → Full Professor (2019–Present) Research interests include Bayesian hierarchical models, longitudinal data analysis, and bioinformatics. He has published over 30 peer-reviewed articles in journals like Biostatistics , Frontiers in Genetics , and Journal of Productivity Analysis . Recent work involves modeling circadian rhythms, lung disease progression, and oceanographic systems. Teaching responsibilities include graduate courses in Bayesian analysis, statistical computing, and linear models. He has served on editorial boards for Sankhya Series B and IEEE Transactions on Computational Biology , and chairs the EAC-ISBA Special Interest Group.

• Database Management Systems
• Query Processing and Optimization
• Approximate Query Processing
• +۶ مورد دیگر

Dr. Feng (George) Yu is an Associate Professor of Computer Science and Information Systems at Youngstown State University in Youngstown, Ohio. He serves as the Campus Champion of NSF Extreme Science and Engineering Discovery Environment (XSEDE) at YSU and has been collaborating with XSEDE and Pittsburgh Supercomputing Center since 2014 to bring national workshop series on High-Performance Computing to YSU. Ph.D. in Computer Science, Southern Illinois University (2013) M.S. in Pure Mathematics, Shandong University (2008) B.S. in Information and Computation Science, Northeastern University (2005) Dr. Yu's primary research focuses on database management systems, particularly Approximate Query Processing (AQP) for big data analytics. His work spans multiple areas including Cloud Computing , Blockchain , NoSQL Databases , and Bioinformatics . His recent research has centered on error assessment for AQP using bootstrap sampling techniques, as evidenced by his 2024 publications AQPrius and Error Assessment for Multi-Join AQP . He has also made significant contributions to plant genomics through alternative splicing analysis in various crops. His publication trends show a consistent focus on query processing and optimization, with a recent shift toward more sophisticated error estimation techniques in approximate query processing. His work bridges theoretical database research with practical applications in bioinformatics and educational technology, as seen in his 2024 paper on computing curriculum accessibility for students with ASD. Best of QUEST 2024 Finalist (Faculty Advisor) Research Professorship (2023, 2022, 2019, 2018) Distinguished Professor in Scholarship (2020) Best Paper Award at International Conference on Software Engineering and Data Engineering (2019) Faculty Membership in The Honor Society of Phi Kappa Phi (2022) Dr. Yu actively mentors undergraduate researchers, having advised students including Govardhan Gula for the BEST of QUEST project on accelerating bootstrap resampling, and led a CREU-funded project on recommender systems with undergraduate researchers Alyssa Adams, Olivia Bindas, Maddie Cope, and Elizabeth Durflinger. His research has been supported by external funding sources including Amazon Inc. and the Computer Research Association. He directs the YSU Data Lab , which focuses on data-oriented sciences and operates multiple high-performance research clouds including Sarah Cloud and YSU STEM Cloud. The lab conducts cutting-edge research in approximate query processing, blockchain, and heterogeneous cloud infrastructure.

LIU Boxiangمشاهده پروفایل

استادیار

• Genomics
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

Asst Prof LIU Boxiang holds the position of Assistant Professor and NUS Presidential Young Professorship at the Department of Pharmacy and Pharmaceutical Sciences, National University of Singapore (NUS), within the Faculty of Science. His research focuses on integrating multi-omics approaches with computational methods to study complex diseases such as coronary artery disease and age-related macular degeneration. He specializes in developing statistical and machine learning tools for genomic analysis, including eQTL mapping and deep learning architectures for gene expression regulation. Education: BA in Biophysics (Illinois Wesleyan University), MS and PhD in Bioinformatics (Stanford University). He contributed to the GTEx consortium and is part of the Asian Immune Diversity Atlas (AIDA) initiative. His lab develops methods like ANTseq for ancestry determination and scPrediXcan for cell-type-specific transcriptome studies. Research Interests: Functional genomics, eQTL analysis, deep learning in biomedicine, and computational tools for omics data integration. His work bridges disciplines such as natural language processing and computer vision with biological questions. Scientific Awards: NUS Presidential Young Professorship (2021). His lab's innovations include ParaMed, a biomedical translation dataset, and LinearDesign for optimized mRNA stability. Advising and Grants: Leads the Liu Lab (boxiangliulab.com), focusing on single-cell genomics, mitochondrial dynamics, and computational biomedicine. Collaborates on projects like the RESET cohort study for cardiovascular disease prevention.

• Transposable elements
• Somatic mutations
• Cancer genomics
• +۷ مورد دیگر

Eunjung (Alice) Lee, PhD is an Associate Professor in the Division of Genetics and Genomics at Boston Children's Hospital and Harvard Medical School. She serves as a member of the Global Faculty at the University of Cologne, specifically affiliated with their Core Profile Area on Aging-Associated Diseases and the CECAD Cluster of Excellence focused on cellular stress responses in aging-associated diseases. Dr. Lee received her PhD in Bioinformatics from the Korea Advanced Institute of Science and Technology (KAIST), conducting research in integrative systems biology with Trey Ideker at the University of California, San Diego. She completed her postdoctoral training with Peter J. Park at Harvard Medical School. Her educational background combines computational expertise with biological applications, establishing her unique position at the intersection of bioinformatics and disease mechanisms. Dr. Lee's research program centers on elucidating the role of transposable elements and somatic mutations in human pathologies including cancer, aging processes, and neurodegenerative conditions. Her laboratory has pioneered computational methods for analyzing cancer whole genome and single-neuron genome sequencing data, making landmark discoveries about somatic retrotransposition in human cancers and the brain. Her team has demonstrated how transposons influence disease through multiple mechanisms including shaping cancer immunity, generating novel molecules via alternative splicing in human tissues and cancers, and contributing to rare diseases through RNA splicing alterations. Currently, her research focuses on developing intervention strategies targeting these mechanisms and investigating somatic mutation patterns in neurodegenerative conditions using cutting-edge single-cell genomic technologies. Analysis of Dr. Lee's publication record reveals a strategic progression from foundational discoveries about somatic retrotransposition in cancers to increasingly sophisticated investigations of genomic mosaicism across diverse disease contexts. Her work consistently bridges computational innovation with biological insight, with recent publications emphasizing single-cell resolution of somatic mutations in neurodegeneration and DNA repair disorders. The research demonstrates growing methodological sophistication and clinical relevance, particularly in connecting genomic instability mechanisms to potential therapeutic approaches. NIH New Innovator Award (DP2) recognizing high-impact, early-stage investigation Leadership of transposon analysis working group in the SMaHT (Somatic Mosaicism Across Human Tissue) Network, an NIH consortium Co-organizer of the inaugural Keystone meeting on somatic mosaicism (2025) Regularly invited speaker at major international conferences on transposons, genomics, and genetics Dr. Lee leads an active research program developing and applying computational genomics methods to investigate somatic genomic variation. Her laboratory maintains strong connections with the broader scientific community through leadership roles in national consortia and conference organization. She is actively shaping the emerging field of somatic mosaicism research, with particular emphasis on translating basic genomic discoveries into potential clinical applications for cancer and neurodegenerative diseases. Her work bridges multiple disciplines including computational biology, cancer genomics, neuroscience, and aging research.

Ola Hermansonمشاهده پروفایل

استاد

• Neurodevelopment
• Neuro-oncology
• Epigenetics
• +۵ مورد دیگر

Ola Hermanson is a Professor of Neuroscience at the Department of Neuroscience, Karolinska Institutet. His research focuses on understanding transcriptional and epigenetic mechanisms governing brain development, function, and disease, including neurodevelopmental disorders and brain tumors like glioblastoma. He employs cutting-edge technologies such as 3D bioprinting, bioelectronics, and molecular biology to study neural stem cells and cancer stem cells. Education and Positions: Professor of Neuroscience, Karolinska Institutet (2021–present) Senior Scientist, Karolinska Institutet (2009–2021) Assistant Professor, Karolinska Institutet (2003–2009) Postdoctoral Training, UC San Diego (1997–2002) PhD in System Neurobiology, Linköping University (1991–1997) Medical School, Lund University (1987–1990) Research Interests: Neural stem cell differentiation, epigenetic regulation, glioblastoma and medulloblastoma biology, biomedical engineering, and biomaterials. His lab develops technologies like 3D printing and bioelectronics to advance precision medicine. Publications: Over 70 peer-reviewed articles in prestigious journals like Nature , Cell , and Molecular Psychiatry . Recent work includes lithium's role in reversing radiation damage in neural progenitors and bioprinting for tumor modeling. Awards: Includes the ENI Young Investigator Award (2005), Strategic Professorship (2021), and recognition from the Canadian Government for Sweden-Canada collaboration. Teaching and Outreach: Course coordinator for neuroscience education programs (FoLäk1/2, anatomy courses). Engaged in pedagogical innovation, including TBL-based learning and neurotech education through NeurotechEU. Labs/Teams: Leads the Molecular Neurodevelopment and Neuro-Oncology group at KI. Founded the imaging core facility CLICK and co-founded Celluminova (stem cell markers SME).

Gemma Marfany Nadalمشاهده پروفایل

استاد

• Molecular Genetics
• Hereditary Retinal Dystrophies
• CRISPR/Cas9 Gene Editing
• +۳ مورد دیگر

Gemma Marfany Nadal is a University Professor at the Faculty of Biology, University of Barcelona, with affiliations to the Department of Genetics, Microbiology and Statistics and the Human Molecular Genetics Research Group. She serves as Academic Secretary of the Bioethics Commission of the University of Barcelona (CBUB), Member of the Institute of Biomedicine of the University of Barcelona (IBUB), and former Member of the Biology Degree Study Council. Her research focuses on hereditary retinal dystrophies, gene discovery (notably CERKL ), CRISPR/Cas9 genomic editing, proteostasis in retinal neurodegeneration, and bioethics. She has led projects funded by the European Union (PROTEOSTASIS), TV3's Marathon Foundation, the Ministry of Economy and Competitiveness, CIBER, and the Ministry of Science, Innovation and Universities. Notable scientific contributions include studies on CERKL 's role in retinal health, sphingolipid metabolism, and deubiquitinating enzyme expression. She has published extensively in journals like Investigative Ophthalmology & Visual Science and PLoS One , emphasizing retinal disease mechanisms and therapeutic strategies. Scientific awards include the VI Distinction from the Faculty of Doctors of the University of Barcelona for outstanding dissemination activities. She has created the genetic diagnostic spin-off DBGen Ocular Genomics and contributes to public science communication through a weekly column in El Nacional and quarterly columns in Mètode magazine under the section 'Gens i Gent'.

Priscilla A. Furthمشاهده پروفایل

استاد

• Bioinformatics
• Breast Cancer
• Estrogen Signaling
• +۴ مورد دیگر

Priscilla A. Furth is a Professor at Georgetown University's Department of Oncology and Medicine, with a distinguished career in disease pathophysiology and cancer research. She serves as an Anna Boyksen Fellow at the Technical University of Munich Institute for Advanced Study (TUM-IAS) since 2023, focusing on experimental bioinformatics and gender diversity in science. M.D. from Yale University (1979) Associate Dean for Faculty Development at Georgetown (2013–2021) Her research integrates bioinformatics and gene-regulatory mechanisms to analyze estrogen signaling pathways in breast cancer risk across diverse gender expressions. She pioneered investigations into circular RNA (circRNA) roles as biomarkers and explores their modification through anti-hormonal therapies. Current article trends show interdisciplinary work bridging quantum computing with network medicine , while maintaining focus on hormonal cancer mechanisms and vaccine immunology . Her 2024 publications emphasize multi-omics data integration and gender-inclusive oncology . Scientific recognition includes: 2023 Anna Boyksen Fellowship 2021 Women in Pathology Spotlight 2020 Excellence in Mentorship Award 2010 Georgetown Women in Medicine Award As Associate Dean, she developed faculty growth programs and continues mentoring through her TUM-IAS fellowship collaborations.