جست‌وجوی استاد و پژوهشگر

Yue Haoمشاهده پروفایل

عضو هیئت علمی

• Glioblastoma genomics
• Tumor evolution
• Single-cell transcriptomics
• +۳ مورد دیگر

Dr. Yue Hao is a Research Assistant Professor at the Translational Genomics Research Institute (TGen), within the Clinical Genomics and Therapeutics Division. She leads research on the genomic evolution of glioblastoma (GBM) and the identification of therapeutic vulnerabilities, leveraging single-cell and spatial transcriptomics, long-read sequencing, and integrative bioinformatics. Education: Ph.D. in Bioinformatics, North Carolina State University, 2020 Postdoctoral Research, Center for Mechanisms of Evolution, Biodesign Institute, Arizona State University Research Interests: Dr. Hao’s work centers on dissecting the mechanisms underlying GBM initiation, progression, recurrence, and resistance. She investigates tumor heterogeneity, the tumor microenvironment (TME), and sex-based immune differences in GBM. Her studies also explore how telomere dysfunction drives structural variation in glioma cell lines over time, aiming to uncover novel therapeutic targets and advance precision medicine for brain cancer. Publication Trends: Across more than 22 peer-reviewed publications (2017–2025), her research spans three major areas: (1) glioblastoma genomics and therapeutic response, (2) evolutionary genomics of polyploidy and convergent evolution, and (3) computational tool development for single-cell genomics. The most recent papers (2024–2025) emphasize clinical translation, including phase 2 trials and immune-oncology studies in GBM. Laboratory & Collaborations: Dr. Hao is affiliated with the Berens and Barthel Labs at TGen, working closely with interdisciplinary teams to integrate genomic data with clinical outcomes and therapeutic discovery.

Julia Höglundمشاهده پروفایل

پژوهشگر

• Genetic Variation
• Evolutionary Biology
• Genomic Sequence Annotation
• +۵ مورد دیگر

Julia Höglund is a Postdoctoral Researcher based at the Centre for Palaeogenetics, affiliated with the Department of Zoology at Stockholm University and collaborating with Wageningen University and Research. Her primary research focuses on genomic sequence annotation, mutational load quantification, and the role of genetic variation in evolution and disease. She works on endangered species like the arctic fox and extinct species such as the woolly mammoth. BSc in Biology, Lund University (2012-2015) MSc in Biology, Lund University (2015-2017) MSc in Bioinformatics, Lund University (2015-2017) PhD in Medical Sciences (Statistical Genetics), Uppsala University (2018-2022) Her research spans genetic epidemiology , inflammatory disease mechanisms , and conservation genomics , with expertise in whole-genome sequencing, polygenic risk scores, and evolutionary adaptation studies. Key projects include developing the FlyCADD model for variant scoring, analyzing estradiol's genetic impact on cancer, and exploring owl vision genetics. Recent publications reveal trends in inflammatory disease genetics (2019-2022), variant annotation (2025), and conservation genomics (2017-2019). Her work bridges computational biology, statistical genetics, and evolutionary applications. No scientific awards are explicitly mentioned in the available text. Julia works jointly with Dr. Mirte Bosse at Wageningen University and Research, focusing on genomic models for endangered and extinct species. Her lab affiliations include the Centre for Palaeogenetics and Stockholm University's Department of Zoology.

Iman Hajirasoulihaمشاهده پروفایل

دانشیار

• Computational Biology
• Genomics
• Structural Variation Analysis
• +۶ مورد دیگر

Dr. Iman Hajirasouliha serves as Associate Professor of Systems and Computational Biomedicine at Weill Cornell Medical College since 2025. With a strong background in computational biology and genomics, they lead research at the intersection of bioinformatics, machine learning, and clinical medicine. Ph.D. in Computational Biology, Simon Fraser University (2012) M.Sc. in Computer Science, Simon Fraser University (2007) B.Sc. in Computer Engineering, Sharif University (2005) Their research focuses on three major areas: 1) Computational genomics for structural variation analysis and tumor phylogeny reconstruction, 2) Machine learning applications in reproductive medicine and embryo assessment, and 3) Metagenomic analysis of microbial communities and antibiotic resistance. They have developed innovative algorithms like Blackbird, Cue, and cloudrnaSPAdes for genomic data analysis. Recent publications highlight their work on spatial isoform sequencing in brain development, AI-based embryo ploidy prediction systems, and multi-omics analysis of disease states. Their research portfolio includes NIH-funded projects in computational biology and collaborations with the National Cancer Institute. Dr. Hajirasouliha's lab integrates computational methods with clinical applications, particularly in oncology and fertility medicine. They contribute to the development of the Tri-Institutional PhD Program in Computational Biology & Medicine and maintain active research collaborations across multiple institutions.

• Genomic Medicine
• Quantitative Genetics
• Inflammatory Bowel Disease (IBD) Research
• +۳ مورد دیگر

Isabelle Cleynen is a Senior Lecturer at the Faculty of Medicine, KU Leuven, and leads the Laboratory for Complex Genetics within the Department of Human Genetics. She is also a member of the LBI - KU Leuven Brain Institute and participates in institutional councils. Senior Lecturer, Faculty of Medicine, KU Leuven Head, Laboratory for Complex Genetics Member, KU Leuven Brain Institute Her research focuses on polygenic risk scores (PRS) for disease prediction, genetic architecture of complex diseases, and multi-omics integration. Key projects include PRS implementation for breast cancer and Alzheimer's, AI-driven detection of bone necrosis risk in IBD, and genetic analysis of intestinal transplantation outcomes. Recent publications highlight her work at the intersection of genomics, artificial intelligence, and translational medicine, particularly for inflammatory bowel disease and neuroinflammatory disorders. Collaborative studies span European multicenter cohorts and cross-omics methodologies. She contributes to teaching courses on Molecular Genetics, Development and Reproduction, Genomic Medicine, and Biomedical Research Skills at KU Leuven.

Ole Kjærulffمشاهده پروفایل

دانشیار

• Neuroscience
• Molecular Biology
• Synaptic Transmission
• +۵ مورد دیگر

Ole Kjærulff is an Associate Professor in the Department of Neuroscience at the Faculty of Health and Medical Sciences, University of Copenhagen. His research primarily focuses on molecular mechanisms of cell communication in the nervous system, with particular emphasis on synaptic transmission processes and axonal transport. Dr. Kjærulff's research laboratory investigates how cells in the nervous system communicate with each other, with specific interest in synaptic transmission where nerve cells communicate by releasing signaling molecules (neurotransmitters) at specialized contact points called synapses. His current research focuses on peptides as signaling molecules, which consist of short amino acid chains. His team examines how dense core vesicles containing neuropeptides circulate in neurons' long extensions (axons) and are released at synapses. A key aspect of his work involves uncovering the molecular basis of axonal transport, which is disrupted in many neurodegenerative diseases. He has also conducted significant research on the endophilin protein, critical for maintaining prolonged synaptic activity, and studied communication between nerve cells and glial cells (support cells in the nervous system), analyzing how disruptions in this communication can increase the risk of brain cancer. Analysis of Dr. Kjærulff's publication history reveals a consistent focus on molecular neuroscience, particularly on protein function related to cellular trafficking and signaling. His work spans from basic molecular mechanisms of vesicle transport to implications for human diseases like diabetes and neurodegenerative disorders. A recurring theme is the role of specific proteins (particularly PICK1 and Rab2) in cellular processes relevant to neurological and metabolic conditions. His research combines genetic approaches in Drosophila with molecular and cellular techniques to elucidate fundamental biological processes with translational relevance. Dr. Kjærulff has held prestigious external positions including Postdoctoral Research Fellow at the Howard Hughes Medical Institute (2002) and Marie Curie Research Fellow at Karolinska Institutet (1999-2001). His laboratory utilizes Drosophila (fruit fly) as an experimental model due to its refined and efficient genetic methods, with findings having significant relevance for understanding similar processes in the human system. The Kjærulff Lab operates within the Neuropharm and Genetics research unit at the University of Copenhagen, maintaining active research programs in molecular neuroscience with connections to human disease mechanisms. His team's work has attracted media attention, with coverage in outlets discussing potential causes of growth retardation, obesity, and diabetes.

• Evolutionary Biology
• Computational Genomics
• Bioinformatics
• +۴ مورد دیگر

Jakob Skou Pedersen is an external researcher affiliated with the Faculty of Health and Medical Sciences at the University of Copenhagen. His work spans evolutionary biology, genomics, and bioinformatics, with significant contributions to understanding human evolutionary constraints, regulatory RNA structures, and ancient human genomes. His research interests focus on computational approaches to evolutionary genomics, including the identification of functional elements in genomes through comparative analysis across multiple species. He has made notable contributions to understanding protein-coding sequences under selection for overlapping functions, regulatory RNA structures, and the evolutionary constraints across mammalian genomes. Analysis of his publication record reveals a strong emphasis on interdisciplinary research combining computational biology with evolutionary genomics. His work frequently appears in high-impact journals including Nature, Cell, and Genome Research, demonstrating expertise in both theoretical modeling and empirical genomic analysis. A significant portion of his research involves large-scale comparative genomic studies across multiple species. His collaborative network is extensive, with co-authorship on major genomic projects involving international research teams. His work on the ancient Palaeo-Eskimo genome represents a notable contribution to paleogenetics and human evolutionary studies.

Andrew Y. Kohمشاهده پروفایل

استاد

• Gut Microbiome
• Cancer Immunotherapy
• Stem Cell Transplantation
• +۳ مورد دیگر

Andrew Y. Koh is a Professor and Division Chief of Pediatric Hematology/Oncology at the University of Texas Southwestern Medical Center, where he also holds the Grant A. Dove Distinguished Chair for Research in Oncology. His work bridges pediatrics, microbiology, and oncology to investigate host-microbe interactions in disease pathogenesis and therapy. His educational background includes: Bachelor’s degree in Biology from Harvard College B.A. in English Literature from Pembroke College, Oxford University (Rhodes Scholar) MD from Harvard Medical School Internship, residency, and chief residency at Children’s Hospital, Boston Dual fellowship in hematology/oncology and infectious diseases at Children’s Hospital, Boston and Dana Farber Cancer Institute Dr. Koh’s research centers on the gut microbiome’s role in modulating immune responses in cancer and stem cell transplant patients. His lab employs multiomic approaches—including metagenomic sequencing, metabolomics, and single-cell cytokine profiling—to dissect how intestinal bacteria and fungi influence infections, graft-versus-host disease, antibiotic resistance, and anti-tumor immunity. Key projects focus on identifying microbial effectors that drive disease phenotypes and developing microbiome-derived therapeutics to enhance cancer immunotherapy efficacy. Analysis of his recent publications reveals a dominant focus on microbiome-immunotherapy interactions, particularly how gut bacteria modulate immune checkpoint blockade responses in melanoma. His work also explores microbiome links to mental health disorders like depression and anxiety, and diagnostic applications for infections and graft-versus-host disease in transplant recipients. His scientific recognition includes: Rhodes Scholarship Dr. Koh has secured NIH and industry funding supporting two patents and the co-founding of Aumenta Biosciences. His lab actively develops novel diagnostics and therapeutics, including electrochemical sensors for antibiotic-resistant organisms and precision probiotics to boost cancer treatment efficacy. While specific advisees aren’t listed, his research program trains students in translational microbiome science. The Koh Lab operates within UTSW’s Departments of Pediatrics and Microbiology, utilizing integrated approaches from molecular biology to human clinical studies. The team collaborates extensively across immunology, oncology, and infectious disease disciplines to advance understanding of host-microbe dynamics in health and disease.

Gabor Marthمشاهده پروفایل

استاد

• Computational Genomics
• Precision Oncology
• Rare Disease Diagnostics
• +۳ مورد دیگر

Gabor Marth is a Professor of Human Genetics and Co-Director of the Utah Center for Genetic Discovery at the University of Utah Medical School. Holding the H.A. and Edna Benning Presidential Endowed Chair , he develops computational tools for genomic analysis, including standardized formats like SAM/BAM and VCF . His lab focuses on precision oncology, rare disease diagnostics, and somatic mosaicism discovery, with funding from NIH institutes and private foundations. Current Research Areas Machine learning for cancer therapy selection Reference-free somatic mutation detection Phenotype-driven patient matching Real-time genomic data visualization Leadership Roles Principal Investigator, NHGRI/NIH grants Co-founder & Chief Scientific Officer, Frameshift Genomics Scientific Advisory Board, Ontario Institute for Cancer Research His team has published extensively on variant calling algorithms, tumor subclone reconstruction, and clinical implementation of genomic tools. Recent work includes deep learning frameworks for breast cancer treatment selection and single-cell RNA sequencing applications in neurological disorders. Scientific Awards : H.A. and Edna Benning Presidential Endowed Chair Advisees : Gage Black (Bioinformatics Scientist) Isabelle Cooperstein (PhD Student) Taeho Kim (PhD Student) Patrick Ozark (MD/PhD Student) Aniruddh Saxena (PhD Student) Casey Sederman (MD/PhD Student) Stephanie Gardiner (PhD Student) Lab members also include senior software engineers and researchers working on clinically driven variant analysis and tumor modeling.

Miguel Andradeمشاهده پروفایل

استاد

• Bioinformatics
• Protein Sequence Analysis
• Tandem Repeats
• +۳ مورد دیگر

Miguel Andrade is a Professor in the Faculty of Biology at the University of Mainz and serves as Adjunct Director at the Institute of Molecular Biology (IMB) since 2014. Previously, he was a Group Leader at the Max Delbrück Center for Molecular Medicine (2007-2014) and Assistant Professor at the University of Ottawa (2003-2007). His research focuses on computational analysis of protein sequences, particularly tandem repeats and low complexity regions, with applications in neurodegenerative diseases like Huntington's. His educational background includes: PhD in Biochemistry from Universidad Complutense de Madrid (1994) Professor Andrade's research spans bioinformatics and computational biology with emphasis on protein sequence evolution, structural implications of repetitive elements, and development of analytical tools. He investigates how tandem repeats and low complexity regions influence protein folding, aggregation, and interactions in diseases, while exploring evolutionary conservation across species. His work bridges computational methodologies with experimental validation in neurodegenerative contexts. Recent publications (2023-2025) demonstrate consistent innovation in protein sequence analysis, featuring computational tools for homorepeat detection, machine learning applications in proteomics, and multi-omics integration. Key themes include neurodegenerative disease mechanisms, immune system regulation, and evolutionary adaptations, with significant contributions to databases like RepeatsDB and tools such as REP2 and seqQscorer. No scientific awards were documented in the source materials. While specific student names and grant details are unlisted, his leadership at IMB indicates supervision of graduate researchers and postdoctoral fellows. His collaborative network spans immunology, cancer research, and neuroscience, evidenced by co-authorship on diverse projects from lipid-disease associations to T-cell differentiation studies. He directs a research group at IMB Mainz focused on computational genomics, developing algorithms for protein sequence analysis and maintaining community resources. The team actively investigates polyglutamine dynamics in neurodegeneration and applies machine learning to proteome-wide challenges, maintaining strong ties with experimental laboratories for biological validation.

• Bioinformatics
• Cancer Genetics
• Blood Cancers
• +۲ مورد دیگر

Dr. Findlay Redvers Bewicke-Copley is a Postdoctoral Researcher (rank: Research Fellow) specializing in bioinformatics and cancer genetics, with a focus on blood cancers including leukaemia and lymphoma. They have a wet-lab background in extracellular vesicles research and are currently working on variant calling, gene expression analysis of NGS data, and establishing a scRNA-seq pipeline at the Centre for Cancer Evolution. Supervised by Dr. Jun Wang and Professor Jude Fitzgibbon, their research integrates computational methods with cancer biology. Affiliation: Centre for Cancer Evolution Research interests include: Bioinformatics Cancer Genetics Blood Cancers Lymphoma

• Computer and information sciences

Altti Ilari Maarala is a Researcher specializing in computational genomics and bioinformatics, with active participation in multiple Academy of Finland-funded cancer research initiatives. His work bridges computer science and genomics through scalable computational methods. Research Focus Altti develops distributed computing solutions for genomic data challenges, including: Pan-genome indexing and compressed data structures for sequence alignment Spark-based frameworks for genome assembly and genotype imputation High-throughput sequencing analytics in population genomics Visualization tools for tumor evolution dynamics Active Projects Key collaborative efforts: DYNAMITE (2025-2028): Targeting transcription factor dynamics in ovarian cancer therapy MULTISTANC (2025-2027): Multi-modal data integration to overcome chemotherapy resistance iCAN Digital Precision Cancer Medicine (2022-2026): Flagship program for data-driven oncology Publication Trends Altti's recent work emphasizes scalable cloud-based genomics, with publications focusing on distributed algorithms for genome assembly (Spark), compressed pan-genome indexing, population-scale data analytics, and cancer evolution visualization. His research consistently integrates high-performance computing with biological data challenges.

Ken Chenمشاهده پروفایل

استاد

• Cancer Genomics
• Computational Biology
• Bioinformatics
• +۵ مورد دیگر

Dr. Ken Chen is a Professor at The University of Texas MD Anderson Cancer Center with primary appointments in the Department of Bioinformatics and Computational Biology (Division of Discovery Science) and the Department of Systems Biology. He also serves as Adjunct Faculty at Rice University's Computer Science Department and Regular Member of UT Health Science Center's Graduate School of Biomedical Sciences. Previously, he was Senior Scientist at Washington University School of Medicine (2005-2011). His educational background includes: B.E. from Tsinghua University (Beijing) Ph.D. from University of Illinois at Urbana-Champaign Postdoctoral training from University of California at San Diego Dr. Chen's research pioneers computational approaches to cancer genomics, focusing on constructing cancer cell population genomes/transcriptomes to decipher heterogeneity and evolution. He develops AI-integrated tools for biomarker discovery in diagnosis and prognosis, with applications in large-scale projects like TCGA and the 1000 Genomes Project. His work bridges machine learning, statistical signal processing, and clinical oncology to advance genomic medicine. As Co-Director of Quantitative Science in the Graduate School of Biomedical Science, he actively mentors graduate students. His research is supported by major genomic initiatives, evidenced by widely adopted tools including BreakDancer (structural variant detection), VarScan (somatic mutation calling), and Monovar (single-cell variant analysis). These resources have become standards in cancer genomics research worldwide. Dr. Chen leads a research group focused on computational cancer genomics, though specific lab details are not provided in the source material.

Simon Chong Chuمشاهده پروفایل

پژوهشگر ارشد

• Computational Biology
• Genomics
• Transposable Elements
• +۳ مورد دیگر

Simon Chong Chu, Ph.D. serves as a Caspar Wistar Fellow in the Molecular and Cellular Oncogenesis Program at The Wistar Institute. A computational biologist specializing in genomic repeats research, Chu develops innovative computational methods to investigate transposable elements and their critical roles in human health and disease. Chu's research interests focus on genomic repeats—including transposable elements (TEs), short and long tandem repeats, and large satellite repeats—that constitute over half of the human genome. His work integrates systems biology with cutting-edge genomics to uncover how these elements influence development, evolution, and disease processes. He has developed computational tools like xTea, REPdenovo, GINDEL, SpliceJumper, GAPPadder, and TrapHunter that have been widely adopted across diverse research contexts. Chu's publication record demonstrates expertise in both cancer genomics and computational methodology development. His recent work examines retroelement contributions to birth defects and childhood cancers, the landscape of human SVA retrotransposons, and comprehensive identification of transposable element insertions using multiple sequencing technologies. His research bridges computational innovation with biological discovery, particularly in understanding how genomic repeats evade suppression mechanisms and contribute to disease states. Chu earned his Ph.D. in Computer Science and Engineering from the University of Connecticut and completed postdoctoral training in the Department of Biomedical Informatics at Harvard Medical School. Prior to joining The Wistar Institute in 2025, he worked as a principal scientist at ROME Therapeutics, where he contributed to clinical drug discovery.

Timothy Beckerمشاهده پروفایل

استادیار

• Genomics
• Deep Learning
• Generative Modeling
• +۸ مورد دیگر

Timothy Becker serves as the John D. MacArthur Assistant Professor of Computer Science at Connecticut College, where he joined in 2023. His research focuses on transforming complex datasets into functional instruments through advanced computational techniques. His academic background includes: B.M. in Music Production from The Hartt School of Music B.S. in Computer Science from the University of Hartford Ph.D. in Computer Science and Engineering from the University of Connecticut Becker specializes in genomics applications but maintains active interdisciplinary collaborations in ecology and transportation. His core methodology integrates deep learning, generative modeling, and data visualization to develop open-source software tools. He emphasizes practical implementations for real-world data analysis and creates interactive tutorials to foster persistent student learning. His publication record from 2018-2025 reveals consistent contributions to bioinformatics and environmental data science, particularly in structural variation analysis and river connectivity modeling. Key trends include developing neural network frameworks for genomic data integration and creating visualization methods for multi-omic datasets. Becker actively seeks undergraduate research collaborators, encouraging students with domain-specific data or research questions to initiate projects. His interdisciplinary approach connects computer science with life sciences and environmental studies through numerous cross-institutional partnerships.

• Psychiatry
• Neuroscience
• Transcranial Magnetic Stimulation
• +۵ مورد دیگر

Margaret Gail Distler serves as a Health Sciences Clinical Instructor in the Department of Psychiatry and Biobehavioral Sciences at the University of California, Los Angeles (UCLA) School of Medicine. Her academic career spans both clinical psychiatry and translational neuroscience research with significant contributions to understanding neuromodulation techniques and behavioral genetics. Dr. Distler's research interests focus on transcranial magnetic stimulation (rTMS) for treatment-resistant depression, anxiety disorders, schizophrenia, and the intersection of genetics with psychiatric conditions. Her work bridges clinical applications with fundamental neuroscience, particularly examining how genetic factors influence behavioral phenotypes and treatment responses. She has made notable contributions to understanding the role of Glyoxalase 1 (Glo1) in anxiety-related behaviors and its potential as a therapeutic target. Analysis of her publication history reveals a clear evolution from foundational genetic research toward clinical applications of neuromodulation. Her recent work (2022-2024) primarily investigates transcranial magnetic stimulation protocols for depression and obsessive-compulsive disorder, with particular attention to demographic factors like age and sex that influence treatment outcomes. Earlier publications (2009-2014) established her expertise in behavioral genetics, particularly regarding Glo1's role in anxiety regulation. Dr. Distler maintains an active research profile with numerous collaborations across the University of California system, particularly with researchers at UCLA and UC San Diego. Her work demonstrates consistent engagement with both clinical psychiatry and basic neuroscience, reflecting a translational research approach that connects molecular mechanisms with clinical applications.