جست‌وجوی استاد و پژوهشگر

Ekta Khuranaمشاهده پروفایل

دانشیار

• Computational Biology
• Cancer Genomics
• Chromatin Structure
• +۴ مورد دیگر

Ekta Khurana is an Associate Professor at Systems and Computational Biomedicine , Weill Cornell Medical College, with a focus on computational methods to identify non-coding cancer drivers, chromatin architecture, and integrative genomics. Her work bridges machine learning with cancer biology to uncover regulatory mechanisms and therapeutic targets. Education Ph.D., University of Pennsylvania (2008) M.Sc., Indian Institute of Technology (2002) B.Sc., University of Delhi (2000) Research Interests center on non-coding variants in cancer, 3D chromatin conformation, lineage plasticity, and regulatory network modeling. She pioneers tools like FunSeq2 and RegNetDriver to prioritize functional mutations in cancer genomes. Recent Articles (2023–2025) highlight her contributions to understanding TAD hierarchy disruptions, chromatin accessibility in prostate cancer, and machine learning applications for 3D genome analysis. Keywords: cancer driver discovery, non-coding mutations, chromatin structure, regulatory networks. Awards WorldQuant Foundation Research Scholar (2025) Grants include NCI-funded projects on non-coding oncogenic regions (2024–2029), Starr Cancer Consortium support for prostate cancer lineage plasticity (2024–2026), and NINDS funding for glioblastoma regulatory nodes (2024–2029).

Jesper Grud Skat Madsenمشاهده پروفایل

دانشیار

• Transcriptional regulation
• Metabolic diseases
• Computational biology
• +۷ مورد دیگر

Jesper Grud Skat Madsen is an Associate Professor at the Department of Biochemistry and Molecular Biology, University of Southern Denmark (SDU), and Principal Investigator of the MadLab research group. His work bridges computational biology with experimental genomics, focusing on transcriptional regulation in tissue plasticity and metabolic diseases. Current affiliation: SDU (Department of Biochemistry and Molecular Biology) Previous affiliation: SDU (Department of Mathematics and Computer Science, 2021-2023) Research centers: ATLAS, Human Gene Regulatory Map (HGRM), ADIPOSIGN

Julia TCWمشاهده پروفایل

استادیار

• Alzheimer's Disease
• APOE4 Genetics
• Stem Cell Biology
• +۴ مورد دیگر

Julia TCW is an Assistant Professor at Boston University, leading a research laboratory focused on Alzheimer's Disease (AD) mechanisms, particularly the role of the APOE4 genetic variant in human brain cells. Her lab integrates CRISPR/Cas9 genome-edited induced pluripotent stem cells (iPSCs), multi-omics bioinformatics, and 3D brain organoid models to study neuroinflammation, lipid metabolism, and glial dysfunction in AD pathogenesis. She holds a Ph.D. and A.M. in Molecular and Cellular Biology from Harvard University. Her research investigates: 1) APOE4-driven disruptions in cholesterol homeostasis and matrisome pathways; 2) iPSC-derived microglia/astrocyte responses to AD risks; 3) Computational pipelines for genetic subtyping and drug repositioning. Key methodologies include developing human brain pericytes , microglia , and 3D organoids for high-throughput drug screening, with active industry collaborations for therapeutic discovery. Recent publications (2023–2025) emphasize APOE4 pathology in glial cells, revealing impaired lipophagy, cellular senescence, and neurovascular defects. Computational studies advance genetic risk modeling and multi-omics data integration, while experimental work validates targets like BIN1 and IL1RAP in neuronal-glial interactions. Her team is pioneering chimeric mouse models to dissect APOE3/APOE4 astrocyte effects in vivo. Dr. TCW's lab actively develops next-generation human brain models and computational tools to bridge molecular insights with clinical translation for Alzheimer's therapeutics.

Oleksandr Stroyukمشاهده پروفایل

پژوهشگر

• Semiconductor Nanocrystals
• Photocatalysis
• Photochemistry
• +۵ مورد دیگر

Dr. Oleksandr Stroyuk is a researcher at the Helmholtz Institute Erlangen-Nürnberg (HI ERN), affiliated with the University of Erlangen-Nürnberg. His expertise spans semiconductor nanocrystals, photocatalysis, lead-free perovskites, and high-throughput synthesis methods. Current role: Researcher Institution: University of Erlangen-Nürnberg Key collaborations: Forschungszentrum Jülich (via HI ERN) Stroyuk’s research focuses on advanced materials for photovoltaics and energy conversion, including: Development of lead-free perovskite compounds High-throughput diagnostics for PV modules Quantum dot-based electron transport layers Nondestructive spectroscopy techniques Carbon nitride in optoelectronic applications His recent publications highlight trends in photovoltaic materials , quantum dot engineering , and nondestructive testing , particularly for silicon and organic solar cells.

• Single-cell Genomics
• Machine Learning
• Gene Regulation
• +۴ مورد دیگر

Ravza Gur is a Postdoctoral Computational Biologist at the University of Oxford's MRC Weatherall Institute of Molecular Medicine (MRC WIMM) and member of the Genome Biology Lab. Her work focuses on integrating single-cell multiomic epigenetics and transcriptomics with machine learning to study non-coding genetic variations in human diseases. Affiliation: University of Oxford Department: MRC WIMM Centre for Computational Biology Role: Postdoctoral Computational Biologist Volunteer: President of ISCB SC RSG-Turkiye (2023) Her research spans single-cell genomics , machine learning , and gene regulation , with a focus on improving scATAC-seq resolution and developing tools like the CREST-GV platform. Current work involves Deep Neural Network methods for analyzing non-coding genomic regions. Scientific contributions include 14 publications on scATAC-seq, chromatin accessibility, and multiomic disease analysis. Her Google Scholar highlights projects like REnformer and GTAC. Recent work emphasizes epigenetic variation in AML and IMiD-induced neutropenia . 2023: Elected President of ISCB SC RSG-Turkiye 2022: Analyzed ATRX chromatin remodelling mechanisms Labs & Collaborations: Genome Biology Lab (Oxford) Centre for Computational Biology (MRC WIMM) ISCB SC RSG-Turkiye

Jichun Xieمشاهده پروفایل

دانشیار

• Genomics
• Bioinformatics
• Computational Biology
• +۷ مورد دیگر

Jichun Xie is an Associate Professor in both the Department of Biostatistics & Bioinformatics and the Department of Computer Science at Duke University . He is also affiliated with the Duke Cancer Institute and the Duke Center for Statistical Genetics and Genomics . His research spans computational biology, genomics, and statistical methods for single-cell data and rare variant analysis. Education: Ph.D. in Biostatistics, University of Pennsylvania (2011) Research Focus: Dr. Xie develops computational frameworks for single-cell RNA sequencing analysis, rare variant association studies, and integrative genomics. His work bridges statistical inference with biological discovery, particularly in cancer immunology, aging, and immune disorders. Publication Trends: Recent papers emphasize single-cell data analysis (e.g., SifiNet, B-Lightning), rare variant mapping (DYNATE), and immune-genomic interactions in chronic GVHD and cancer. Methodologically, he pioneers hierarchical multiple testing and co-expression graph topologies. Grants: Duke Program of Training in Pulmonary Research (PROSPER), NIH/NHLBI (2022-2026) New computational methods for rare variant subregion detection, NIH/NHGRI (2022-2026) Training Program in Bioinformatics at the Intersection of Cancer Immunology and Microbiome, NIH/NCI (2020-2026) Labs and Teams: Dr. Xie leads the Xie Lab , which actively trains students and researchers in computational methods. The lab collaborates with immunologists and oncologists, producing tools like DART and TEAM for biomedical analysis.

Timothy E Reddyمشاهده پروفایل

دانشیار

• Gene Regulation
• Statistical Genetics
• Functional Genomics
• +۴ مورد دیگر

Timothy E Reddy serves as an Adjunct Professor in the Department of Biostatistics & Bioinformatics and Associate Professor in Molecular Genetics and Microbiology at Duke University. He is a core faculty member of the Duke Center for Statistical Genetics and Genomics and the Center for Combinatorial Gene Regulation, with appointments spanning biostatistics, molecular genetics, and biomedical engineering. His research integrates computational and experimental approaches to dissect gene regulatory mechanisms underlying complex diseases. Education: Ph.D. in Genetics, Boston University (2007) Dr. Reddy's research centers on noncoding genetic variation, epigenome editing, and statistical genomics. He pioneers CRISPR-based high-throughput functional assays to annotate regulatory elements and elucidate disease mechanisms in conditions like multiple sclerosis, schizophrenia, and polycystic ovary syndrome. His work bridges genome-wide association studies with mechanistic validation through epigenome editing and multi-omics integration, emphasizing combinatorial effects of regulatory variants. His recent publications demonstrate a cohesive trajectory in developing and applying functional genomics tools, particularly CRISPR-based epigenome editing screens and statistical frameworks for variant interpretation. Key themes include cell-type-specific regulatory networks, noncoding variant pathogenesis, and translational applications for complex disease therapeutics across neurological, metabolic, and immune disorders. Dr. Reddy leads multiple NIH-funded initiatives including the Duke FUNCTION Center (NHGRI), with current grants spanning CRISPR-based GWAS refinement (Open Philanthropy), noncoding variation in multiple sclerosis (NIAID), and schizophrenia genomics (NIMH). His collaborative projects involve institutions including Northwestern University and Mount Sinai, focusing on metabolic and reproductive disorders through integrated omics approaches. As co-director of the Duke Center for Statistical Genetics and Genomics, he drives interdisciplinary efforts to map combinatorial noncoding causes of disease. His lab develops cutting-edge epigenome editing technologies like HyperCas12a for multiplexed regulatory screens while maintaining active collaborations with clinical researchers for translational applications.

Leif Havtonمشاهده پروفایل

دانشیار

• Neurology
• Spinal Cord Injury
• Neural Regeneration
• +۴ مورد دیگر

Dr. Leif Havton, M.D., Ph.D., is an Associate Professor in the Department of Neurology at the University of California, Los Angeles (UCLA). He is actively affiliated with the UCLA Neurological Rehabilitation and Research Program and the Brain Research Institute, focusing on neurological disorders related to spinal cord injury and autonomic nervous system dysfunction. Primary Affiliation: Department of Neurology, UCLA Research Programs: UCLA Neurological Rehabilitation and Research Program, Brain Research Institute Dr. Havton's research centers on spinal cord injury recovery, neural regeneration, and neuromodulation of lower urinary tract function. His work explores axonal plasticity following ventral root avulsion injuries, ketamine anesthesia effects on neurological responses, and noninvasive spinal stimulation techniques to restore autonomic and motor functions in primate models. His recent publications highlight innovations in chondroitinase treatment for spinal repair, neuroanatomical mapping of sinoatrial node innervation, and comparative studies of anesthesia protocols in urodynamic testing. These studies span neuroscience, neurosurgery, biomedical engineering, and neuropharmacology disciplines. Dr. Havton employs advanced methodologies such as neurophysiological mapping, spinal cord grafting, and computational modeling of axonal structures in his investigations. His research often utilizes primate models (rhesus macaques) and rodent systems to bridge translational gaps between basic science and clinical applications. Collaborations with multidisciplinary teams across neurology, urology, and rehabilitation medicine demonstrate his commitment to cross-disciplinary approaches in neurological disease research.

• Liver Pathology
• Liver Transplantation Pathology
• Hepatopancreatobiliary Pathology
• +۴ مورد دیگر

Ayşe Armutlu, M.D. is an Attending Physician and Specialist in the Department of Pathology at Koç University since 2016. She completed her medical education and pathology residency at Gazi University Faculty of Medicine (2002–2014) and advanced training in liver pathology at Indiana University (2018). Her clinical focus includes Liver Pathology , Hepatopancreatobiliary Pathology , and Uropathology . Medical Doctorate , Gazi University School of Medicine (2002–2009) Medical Pathology Residency , Gazi University Department of Medical Pathology (2009–2014) Observer in Pathology , Indiana University Department of Pathology (2018) Her research spans prostate cancer staging , pancreatic tumor subtyping , and hepatic pathology , with over 20 publications since 2016. Key studies include PSMA PET/CT applications , duct-centric Whipple specimen analysis , and metaplastic pancreatic carcinomas . While no scientific awards are explicitly documented, her work emphasizes imaging-pathology integration and novel diagnostic protocols . She has no known part-time affiliations and no appointments are listed in the scraped data.

Lynn B. Jordeمشاهده پروفایل

استاد

• Human Genetics
• Genetic Variation
• Disease-Gene Identification
• +۵ مورد دیگر

Lynn B. Jorde, Ph.D. , is a Professor in the Department of Human Genetics at the University of Utah. His research focuses on human genetic variation, disease-gene identification, and the evolutionary dynamics of mobile elements. Using Utah’s large families and Tibetan populations, he has pioneered studies on mutation rates, high-altitude adaptation, and complex disease genetics. Institute: Eccles Institute of Human Genetics (EIHG), University of Utah Key Collaborators: Joseph T. Prince, Lynn B. Jorde, Mark Yandell Research Interests include: Estimating intergenerational mutation rates via whole-genome sequencing of three-generation families Identifying genes under natural selection in Tibetan high-altitude adaptation Studying mobile element retrotransposition and its genomic impacts Investigating genetic factors in preterm birth, ALS, schizophrenia, and hypertension Publication Trends span computational genomics, human evolution, and clinical applications. His articles from 2018–2025 explore variant prioritization tools (VVP), germline mutation dynamics, and ancestry-disease associations, with a focus on structural variants and population-specific adaptations. Lab Affiliations include the Eccles Institute of Human Genetics (EIHG) in Salt Lake City, where he leads research on: Genomic instability in cancer and neurological diseases Mobile element biology in diverse populations Pharmacogenomics and reproductive health Contact: lbj@genetics.utah.edu | Office: 801.581.4566 | Lab: EIHG 7220B

• Biostatistics
• Computational Biology
• Data Science
• +۱۲ مورد دیگر

Dr. Zuoheng Anita Wang is a Professor of Biostatistics at Yale School of Public Health with secondary appointments as Associate Professor in Biomedical Informatics & Data Science. Her research focuses on statistical modeling of omics and healthcare data, with expertise spanning kernel machine methods, mixed effects models, correlated and longitudinal data analysis, machine learning, and network analysis. Dr. Wang's educational background includes: PhD from University of Chicago (2009) MS from University of Florida (2004) BS from University of Science and Technology of China (2001) Her research interests center on developing innovative statistical methods and computational tools for large-scale biomedical studies and electronic health records data. She focuses on disease risk prediction, genetic susceptibility variant identification, and single-cell and spatial transcriptomic data analysis, with applications in mental health, addiction, cancer, autism, lung and cardiovascular diseases. Dr. Wang's work bridges computational statistics with clinical applications across multiple disease domains. Her recent publications demonstrate strong trends in applying machine learning and statistical methods to single-cell analysis, cardiovascular disease proteomics, Alzheimer's disease genetics, HIV epigenetics, and respiratory disease outcomes. Her research spans computational biology, statistical genetics, and clinical applications. Her scientific contributions include: Development of computational tools for single-cell and spatial transcriptomics Innovative methods for genetic association studies Statistical approaches for electronic health records analysis Applications in cardiovascular disease, Alzheimer's disease, HIV, and respiratory conditions Dr. Wang serves as primary faculty in Biostatistics and has secondary appointments across multiple departments. She is affiliated with several research centers including the Center for Brain & Mind Health, Computational Biology and Biomedical Informatics, Genomics, Genetics, and Epigenetics Safdar Lab, Yale Cancer Center, and Yale Combined Program in the Biological and Biomedical Sciences.

Anthony Paul Doulgerisمشاهده پروفایل

استاد

• Remote Sensing
• Synthetic Aperture Radar (SAR) Imaging
• Sea Ice Monitoring
• +۳ مورد دیگر

Professor Anthony Paul Doulgeris at the UiT The Arctic University of Norway leads research in Earth Observation within the Department of Physics and Technology . His work focuses on Interpreting satellite radar images for Arctic sea ice studies Developing automated algorithms for large-scale environmental data Advancing SAR (Synthetic Aperture Radar) methodologies His research interests span Remote Sensing , Sea Ice Dynamics , Machine Learning Applications , and Algorithm Optimization for polar environments. Current projects include Boosting Space Business and membership in the Earth Observation research group. Recent publications analyze High-resolution sea ice concentration using Sentinel-1 deep learning models Icberg detection via multiscale CFAR algorithms in L-band SAR Multidecadal SAR sea ice type analysis in the Atlantic Arctic Incidence angle compensation techniques for cross-platform consistency with keywords spanning Arctic Climate , Microwave Remote Sensing , Operational Ice Monitoring , and Data Processing Frameworks . Collaborations include international teams from Norway, China, and Canada, with fieldwork integration in expeditions like MOSAiC and N-ICE2015. His work bridges Satellite Data and Environmental Modeling to improve Arctic navigation and climate predictions.

• Neuroscience
• Epigenetics
• Cell Reprogramming
• +۴ مورد دیگر

Cheen Euong Ang is a Visiting Professor in the Department of Chemistry and Chemical Biology at Harvard University's Faculty of Arts and Sciences. Affiliated with the Zhuang Research Group, his work focuses on neuronal engineering, epigenetic regulation, and cellular reprogramming mechanisms. Department of Chemistry and Chemical Biology, Harvard University Zhuang Research Group, Faculty of Arts and Sciences His research spans neuroscience and epigenetics, with particular emphasis on: Direct neuronal reprogramming from somatic cells Epigenetic dynamics during cellular transitions Long non-coding RNA functions in brain development Matrix stiffness effects on chromatin states Neurodevelopmental disorder modeling Recent publications demonstrate expertise in: Neuronal differentiation using transcription factors Single-cell epigenomic profiling Transdifferentiation of immune cells to neurons Neurogenetic mechanisms in 22q11.2 deletion syndrome lncRNA-mediated pathogenic pathways

• Cancer Genetics
• Cytogenetics
• Molecular Diagnostics
• +۶ مورد دیگر

Dr. Svetlana D. Pack serves as Staff Scientist and Unit Head of the Chromosome Pathology Section within the Laboratory of Pathology at the National Cancer Institute's Center for Cancer Research (NCI-CCR). Her work bridges molecular biology and clinical oncology, focusing on cancer genetics, cytogenetics, and molecular diagnostics development for hereditary tumor syndromes including von Hippel-Lindau disease and multiple endocrine neoplasia. Dr. Pack's educational journey includes: Bachelor's degree in Biology from Novosibirsk State University, Russia Ph.D. in Mammalian and Human Genetics/Cytogenetics from Institute of Cytology and Genetics, Russian Academy of Sciences Postdoctoral training in Clinical Cytogenetics (NHGRI) and Cancer Genetics (NCI) Her research centers on elucidating tumor formation mechanisms through studies of aneuploidy, apoptosis, and oncogene behavior. She pioneered innovative FISH-based diagnostic methods including 'micro-micrometastases' detection and 'marginal mapping' for surgical oncology, translating basic discoveries into clinical applications for cancer detection and treatment guidance. Recent publications demonstrate expertise in cancer genomics, molecular diagnostics, and targeted therapy across diverse malignancies. Her work reveals genomic heterogeneity in lung adenocarcinoma, CDK4 amplification effects in sarcomas, and biomarker applications in basket trials, consistently emphasizing translational impact from laboratory to clinic. Key recognitions include: Helix Magazine citation for 'most exciting research development' (FISH metastasis detection) CCR Frontiers in Science feature for dual oncogene targeting research As Section Head, Dr. Pack oversees both clinical diagnostics supporting NCI patient trials and research on tumor mechanisms. Her section develops molecular cytogenetic techniques including FISH variants and spectral karyotyping, collaborating extensively across NIH institutes to advance cancer diagnostics and therapeutic strategies. The Chromosome Pathology Section maintains dual clinical-research operations under Dr. Pack's leadership, developing standardized FISH assays now used in routine diagnostics while investigating novel cancer targets. Her team includes medical technologists and collaborates with pathologists across NCI-CCR to implement cutting-edge methods for genetic alteration detection in tumor specimens.

• Infectious Disease Modeling
• Epidemiology
• Climate and Disease Dynamics
• +۵ مورد دیگر

Marc Choisy serves as Group Head of Mathematical Modelling at the Oxford University Clinical Research Unit (OUCRU) in Ho Chi Minh City, Vietnam, and holds an honorary Associate Professor position at the University of Hong Kong's School of Public Health. His work bridges epidemiological modeling with public health interventions across Southeast Asia. Education: MSc in Biostatistics (University of Montpellier) MSc in Ecology & Evolution (University of Montpellier) PhD in Integrative Biology (University of Montpellier) Choisy specializes in mathematical modeling of infectious disease transmission, with particular focus on environmental and climatic drivers of epidemics. His research spans dengue, influenza, measles, and SARS-CoV-2 dynamics, examining spatial transmission patterns, vaccine optimization, and antimicrobial resistance. He pioneered the use of Facebook colocation data to map Vietnam's district-level contact networks during the 2020 pandemic, revealing the precise impact of lockdowns on disease spread. His team developed sero-surveillance systems using residual hospital samples to identify immunization gaps, notably demonstrating how absolute humidity drives Vietnam's influenza seasonality gradient from south to north. His publication trends reveal consistent focus on climate-sensitive diseases (dengue, TB), vaccine-preventable outbreaks, and antimicrobial resistance in agricultural settings. Recent work emphasizes open-data pipelines (2025) and cross-border disease dynamics in urbanizing Southeast Asia. Professional Activities: Associate Editor, PLoS Neglected Tropical Diseases Developer of R packages for epidemiological modeling (cutoff, midp) Co-leader of Vietnam's hospital-based sero-surveillance system Advocate for reproducible research and open data practices Choisy leads OUCRU's Mathematical Modelling group, which integrates big data analytics with traditional epidemiological methods. His team's work on 18 years of dengue data across 8 countries demonstrated region-wide outbreak synchrony driven by El Niño patterns, while measles sero-surveys revealed critical vaccination gaps below the 95% herd immunity threshold in multiple Vietnamese regions.