جست‌وجوی استاد و پژوهشگر

• Molecular Biology
• Neurobiology
• Genetics
• +۳ مورد دیگر

Dr. Gemma Carreras Badosa is a Lecturer in the Department of Biology at the Universitat de Girona. She holds a PhD in Biology (2015) and a Master's in Neuroscience. Her research focuses on microRNA expression, RNA delivery as therapeutic tools, gene expression, and inflammatory markers related to allergic diseases, prenatal/postnatal growth alterations, metabolic disorders, and neurobiology. She has secured competitive funding including principal investigator roles in two national projects (MOBJD526, MOBJD106) and participation in international projects like SPIOMET4HEALTH (H2020). Her scientific work has resulted in 16 principal publications and 42 co-authored papers with 808 citations and an H-index of 16. She has developed technical skills in DNA/PCR techniques, RNA/microRNA analysis (qPCR, TLDA, microarrays), protein assays (ELISA, Western blot), cell culture, nanotechnology for RNA delivery, histology, microscopy (confocal, electron), and animal experimentation (Wistar rats, CBL mice). She has also collaborated on clinical data management, biobanking, and statistical analysis (SPSS, R). Scientific awards include: Postdoctoral grant (CD19/00172, Sara Borrell, ISCIII) Predoctoral grant (pFIS, ISCIII) She has mentored undergraduate, Master's, and ongoing PhD students at UdG and participated in science outreach activities including workshops for students (2017, 2021) and the "Women in Science" video series (2023).

Michael Hirtzمشاهده پروفایل

پژوهشگر

• Nanotechnology
• Biomedical Engineering
• Materials Science
• +۳ مورد دیگر

Dr. Michael Hirtz is a Group Leader at the Karlsruhe Institute of Technology (KIT) Institute of Nanotechnology since 2010, with ongoing honorary faculty status at the Centre for Nanotechnology at IIT Guwahati (2021-ongoing). His research focuses on surface functionalization and bioactive nanopatterning using dip-pen nanolithography, polymer pen lithography, and fluidFM techniques. Habilitation in Nanotechnology & Biomedical Tech (KIT, 2023) Habilitation in Physics (WWU Münster, 2017) PhD in Physics (WWU Münster, 2009) His work bridges nanoscale fabrication and biomedical applications , particularly in circulating tumor cell detection , lipid membrane engineering , and antifouling surface design . Recent publications highlight applications of large language models in materials science , 3D nanolithography , and bioinspired surface modification . Scientific accolades include the NEULAND Innovation Contest 2nd Prize (2022), HGF ERC Recognition Award (2020), and multiple ERC-funded grants. He serves on editorial boards for Polymers (MDPI) and Scientific Reports (Springer Nature).

Roger Pique-Regiمشاهده پروفایل

استادیار

• Genomics
• Computational Biology
• Gene Expression Regulation
• +۵ مورد دیگر

Dr. Roger Pique-Regi is an Assistant Professor at Wayne State University, affiliated with the Center for Molecular Medicine & Genetics and the Department of Obstetrics & Gynecology. His research focuses on developing computational methods and statistical models to analyze large genomic datasets. Institution: Wayne State University Joint Appointments: Center for Molecular Medicine & Genetics, Obstetrics & Gynecology Dr. Pique-Regi's work addresses questions about DNA regulatory sequences, chromatin marks, and the impact of genetic variation on disease. He employs computationally intensive approaches to extract subtle signals from complex data, contributing to fields like comparative genomics, functional genomics, and population genetics. His recent publications highlight interdisciplinary applications of statistics and computer science in understanding gene-environment interactions, chromatin accessibility, and transcriptional regulation. Software tools developed by his lab include CENTIPEDE and GADA, which are used in DNase-I foot printing and copy number analysis. Email: rpique@wayne.edu Lab: Pique-Regi Laboratory

Russell L. Finley, Jr.مشاهده پروفایل

استاد

• Protein-Protein Interaction Networks
• Gene Regulatory Networks
• Cell Cycle Regulation
• +۳ مورد دیگر

Russell L. Finley, Jr. is a Professor at Wayne State University, affiliated with the departments of Molecular Medicine and Genetics and Biochemistry, Microbiology, and Immunology. He is a member of the Karmanos Cancer Institute and serves as Division Director for Education and Graduate Officer for CMMG. PhD, SUNY Upstate Medical University (1990) Dr. Finley's research focuses on understanding regulatory networks that control biological processes and molecular mechanisms of cell division. His lab employs high-throughput technologies such as yeast two-hybrid systems, RNAi screens, and protein microarrays to map gene/protein interaction networks in Drosophila and bacterial pathogens. His recent publications (2024–2019) highlight work on: CHEK2 genetic variants in breast cancer Protein interactomes of pathogens (Campylobacter jejuni, Streptococcus pneumoniae, dengue virus) Novel cyclin proteins (Cyclin Y, Cyclin J) in cell cycle regulation Meta-interactome approaches to improve functional predictions Integration of Drosophila interactome and transcriptome data Dr. Finley contributes to systems biology and bioinformatics through algorithm development (e.g., TraM for graph matching) and interaction confidence scoring methods. His work bridges fundamental cell biology with translational applications in cancer and infectious disease research. Mentoring: Dr. Finley is accepting new Master's students for 2024/2025 but not new Ph.D. students. Labs and Teams: His research is conducted within the Karmanos Cancer Institute and the College of Medicine Microbiology and Immunology department at Wayne State University.

Hussam Al Katebمشاهده پروفایل

استاد بالینی

• Clinical Molecular Genetics
• Clinical Cytogenetics
• Oncology Genomics
• +۵ مورد دیگر

Hussam Al Kateb, MSc, PhD is a board-certified Clinical Genomicist at Mayo Clinic in Rochester, Minnesota, holding dual certifications from the American Board of Medical Genetics and Genomics in Clinical Molecular Genetics and Clinical Cytogenetics . He specializes in developing and clinically implementing multi-omics testing strategies—including paired tumor-normal whole-exome, whole-transcriptome, and whole-genome analyses—to identify actionable, diagnostic, and prognostic variants in solid tumors. Education & Training 2010 – Fellowship, Clinical Molecular Genetics, Case Western Reserve University & University Hospitals 2009 – Fellowship, Clinical Cytogenetics, Case Western Reserve University & University Hospitals 2007 – Post-doctoral Fellowship, Complex Disease Genetics (Type 1 Diabetes), University of Toronto & Hospital for Sick Children 2004 – PhD (Summa cum Laude), Human Molecular Genetics, Ruprecht-Karls-University of Heidelberg 1997 – MSc, Laboratory Diagnosis (Clinical Pathology), Damascus University 1992 – BSc, Pharmacy & Pharmaceutical Chemistry, Damascus University Clinical & Research Focus Dr. Al Kateb’s work bridges cutting-edge genomic technologies and precision oncology. His laboratory develops and validates next-generation sequencing (NGS) assays, interprets complex genomic data, and translates findings into clinical decision-making. Key areas include: Multi-omics test development for solid tumors Genotype-phenotype and genotype-outcome correlations in cancer Gene discovery and functional annotation of novel variants Optimization of NGS workflows and quality assurance Scientific Awards & Honors Co-inventor, Patent WO2007131345 A1 (renal disease gene discovery in T1D) PhD Summa cum Laude, University of Heidelberg (2004) Young Investigator Award finalist, European Society of Human Genetics (2002) DAAD Scholarships for PhD and language studies (1999) Top graduate among 400, Damascus University College of Pharmacy (1992) Professional Leadership & Memberships Dr. Al Kateb serves on the Program Committee of the Cancer Genomics Consortium (2024–present), is a Certified Inspector for the College of American Pathologists, and maintains active memberships in the American College of Medical Genetics and Genomics (Fellow since 2012), American Society of Human Genetics, Association of Molecular Pathologists, and several editorial boards and guideline committees. Laboratory & Collaborative Teams He leads and collaborates with multidisciplinary teams at Mayo Clinic’s Department of Laboratory Medicine and Pathology, integrating genomic data with clinical pathology, oncology, and bioinformatics groups to advance precision cancer care and standardize genomic testing protocols worldwide.

Gabriela Hristescuمشاهده پروفایل

دانشیار

• Data Mining
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Gabriela Hristescu, Ph.D., is an Associate Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. Her research focuses on computational models for cellular protein import through nuclear pores, software tools for DNA microarray databases, gene expression data mining, and health data analysis using machine learning. Education: BS in Computer Science and Engineering, Polytechnic Institute of Bucharest MS in Computer Science, Rutgers University PhD in Computer Science, Rutgers University Her research expertise spans Bioinformatics, Computational Biology, Data Mining, Machine Learning, Artificial Intelligence, Databases, and Parallel and Distributed Computing. She has contributed to advancing knowledge extraction from large-scale biological datasets and algorithmic design for computational biology. Recent publications highlight her work on applying machine learning to health data, integrating interdisciplinary approaches to solve complex problems in computational biology and database systems. Scientific Awards: UPE International Honor Society for the Computing and Information Disciplines Dr. Hristescu has taught foundational and advanced courses in Computer Science, including Data Structures & Algorithms, Database Systems, and Design and Analysis of Algorithms. She is affiliated with the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE).

• Nanotechnology
• Bioinformatics
• Molecular Biology
• +۳ مورد دیگر

Shruti Shandilya is a Doctoral Researcher at the Department of Applied Physics, Aalto University, specializing in interdisciplinary research at the intersection of nanotechnology, bioinformatics, and biomedical sciences. Her work spans molecular modeling, oxidative stress studies, and nanomaterial synthesis. Institution: Aalto University Department: Applied Physics Email: shruti.shandilya@aalto.fi Research Interests: Shruti's research focuses on: Nanotechnology: Silver-doped gold nanoclusters and their relaxation dynamics Bioinformatics: Computational modeling for enzyme inhibition and DNA microarray analysis Biomedical Research: Gut microbiota-oxidative stress interactions and mitochondrial protection Publication Trends: Her recent publications (2020-2023) demonstrate expertise in developing nanomaterials for optical applications, computational approaches to molecular design, and investigating oxidative stress mechanisms in neurodegenerative diseases. Collaborations: Co-authored studies with multidisciplinary teams involving experts in materials science (Olli Ikkala), computational molecular design (Outi M.H. Salo-Ahen), and biomedical research (Janne Ruokolainen).

• Biostatistics
• Bioinformatics
• Translational cancer research
• +۵ مورد دیگر

Xi Chen, Ph.D., is Professor of Biostatistics in the Department of Public Health Sciences at the University of Miami Miller School of Medicine. He directs the Biostatistics and Bioinformatics Shared Resource and heads the Translational Statistical Bioinformatics Laboratory, driving integrated data-science approaches to cancer and Alzheimer’s disease research. Education 2006 – Ph.D. in Statistics, North Carolina State University 2004 – M.S. in Statistics, North Carolina State University 2002 – M.S. in Molecular Genetics, North Carolina State University 1999 – B.S. in Biochemistry, Lanzhou University Research Interests Dr. Chen’s work bridges advanced statistical methodology and high-throughput genomic data to tackle complex biomedical questions. Major foci include: Translational cancer research, especially biomarker discovery in triple-negative breast and colorectal cancers. Multi-omics integration—combining genomics, epigenomics, proteomics, and methylomics for systems-level insights. Predictive modeling and high-dimensional variable selection for precision medicine. Epigenomic signatures of aging and Alzheimer’s disease, leveraging large longitudinal cohorts. His lab develops reproducible computational tools and collaborates closely with bench scientists and clinicians to translate statistical findings into clinical impact. Recent Publication Trends Over the last two years Dr. Chen’s publications reveal a strategic expansion from foundational cancer genomics toward neuroepigenomics. Cutting-edge methylation-array quality control studies complement the creation of the MIAMI-AD knowledgebase, underscoring his commitment to open, integrative resources. Ongoing work on blood-based dementia biomarkers and lifestyle-resilience signatures illustrates the translational arc of his research program. Scientific Awards & Honors While the provided text does not enumerate specific awards, Dr. Chen has served as a reviewer for numerous prestigious panels including: National Cancer Institute Cancer Biomarker Study Section (CBSS) National Institute of Neurological Disorders & Stroke (NINDS) Morris K. Udall Centers of Excellence for Parkinson’s Disease Research (P50) Health and Medical Research Fund, Government of Hong Kong Grants & Collaborations Dr. Chen has directed multiple NIH-funded projects integrating gene expression, proteomic, and methylation data to identify actionable cancer biomarkers. His interdisciplinary teams include oncologists, pathologists, and computational biologists across the University of Miami and external consortia. Laboratory & Teams The Translational Statistical Bioinformatics Laboratory ( tsblab.org ) provides a collaborative hub where trainees and staff develop next-generation analytical pipelines. The lab maintains active GitHub repositories and openly shares software tools to foster reproducible research in the genomics community.

• Computational Biology
• Precision Medicine
• Bioinformatics
• +۳ مورد دیگر

Dr. Lily Wang is a Professor in the Department of Public Health Sciences at the University of Miami since 2015. Previously, she was a tenured Associate Professor at Vanderbilt University. She specializes in data science approaches to improve understanding of complex diseases, particularly in precision medicine for dementia and cancers.

• Applied Mathematics
• Applied Statistics
• Data Mining
• +۱۰ مورد دیگر

Dr. Subhash C. Bagui is a Professor in the Department of Mathematics and Statistics at the Hal Marcus College of Science and Engineering , University of West Florida. His expertise spans nonparametric classification/discrimination , statistical pattern recognition , cluster analysis , data mining , and K-12 statistics education , with applications in cancer detection , gene identification , and DNA microarray data analysis . Education : PhD in Statistics (University of Alberta), MS in Statistics (Indian Statistical Institute), Post-Graduate Diploma in Statistical Quality Control (Indian Statistical Institute), BSc in Statistics (University of Calcutta). His research focuses on statistical computing , biostatistics , and design and analysis of experiments , often intersecting with machine learning and network security . Recent publications highlight his work on MITRE ATT&CK-labeled datasets and graph-based threat detection . The UWF Faculty Catalyst Initiative Award (2013-14) recognizes his contributions. He has authored the book "Handbook of Percentiles in the Non-Central t-distributions" and served on editorial boards for journals such as the Journal of Applied Statistical Science .

Gilbert Chuمشاهده پروفایل

استاد

• DNA Repair
• Oncology
• Biochemistry
• +۴ مورد دیگر

Gilbert Chu is a Professor of Medicine (Oncology) and Biochemistry at Stanford University , with affiliations to Bio-X , Maternal & Child Health Research Institute , and Stanford Cancer Institute . His career spans molecular biology, oncology, and medical device innovation. Education: A.B. in Physics, Princeton University (1967) Ph.D. in Physics, MIT (1973) M.D., Harvard Medical School (1980) Research Focus: DNA repair mechanisms, hyperammonemia diagnostics, and educational reform. Key contributions include nonhomologous end joining protein complexes , SAM/PAM microarray algorithms , and portable ammonia sensors . Award Highlights: 2024 Oscar Salvatierra Award for Medical Student Service Multiple Kaiser Teaching Awards (2020, 2015, 2014, 2007, 2003) 2018 American Physical Society Fellowship 1973 Giulio Racah Prize Patents: 5 U.S. patents in DNA repair and point-of-care diagnostics (1992-2014). Academic Leadership: Primary mentor in Biochemistry , Biophysics , and Cancer Biology Ph.D. programs; teaches courses like Perspectives on Cancer Care and The Teaching of Biochemistry .

Eli S. Williamsمشاهده پروفایل

دانشیار

• Genomic Stability
• Telomere Biology
• Clinical Genetics
• +۳ مورد دیگر

Eli S. Williams, Ph.D. is an Associate Professor of Pathology at the University of Virginia School of Medicine . He serves as Director of Genomics and Cytogenomics and specializes in clinical cytogenetics for cancer and constitutional diseases. Education : PhD in Molecular Cell Biology (Colorado State University), Postdoctoral Fellowship (Moffitt Cancer Center), Clinical Cytogenetics Fellowship (Emory University), Molecular Genetics Fellowship (Emory University) Dr. Williams' research focuses on telomere biology in genomic stability , genotype-phenotype correlations , DNA repair mechanisms , and genomic technology implementation . His work bridges basic science with clinical diagnostics. His publications highlight advancements in cytogenetic techniques (CO-FISH/SKY-FISH), array platform validation , telomere dysfunction , and radiation response in glioblastoma . He has contributed to clinical guidelines for copy number variation interpretation.

Michael Ronemusمشاهده پروفایل

عضو هیئت علمی

• Genomics
• Medical Genetics
• Next-Gen Sequencing
• +۳ مورد دیگر

Michael Ronemus is a Research Assistant Professor at Cold Spring Harbor Laboratory, affiliated with the Wigler Laboratory. He holds a Ph.D. from Yale University (1998). His research focuses on uncovering the genetic basis of sporadic diseases like autism, congenital heart defects, and early-onset cancers using novel next-generation sequencing techniques. Collaborating with clinical partners, his work aims to translate these technologies into actionable medical tests. Education: Ph.D. in Genetics, Yale University (1998). Research Interests: Development of wet lab and bioinformatics tools for detecting rare mutations, next-gen sequencing applications in genetic disease analysis, and translational genomic medicine. Key methods include the SMASH and Scalpel algorithms for copy number variant and indel detection, as well as bisulfite sequencing for epigenetic analysis. His studies emphasize de novo mutation contributions to neurodevelopmental disorders and congenital anomalies. Recent work highlights genome-transcriptome correlations in cancer, sibling concordance in autism genetics, and de novo mutation rates in high-risk autism families. His publications span journals like Science , Nature , and Genome Research . Collaborations: Active partnerships with clinical institutions to advance diagnostic tools for genetic conditions. Techniques developed in his lab are applied across autism, congenital heart disease, and oncology research. Labs/Teams: Core member of the Wigler Laboratory, specializing in genomic analysis and bioinformatics-driven medical research.

W. Walter Lorenzمشاهده پروفایل

پژوهشگر

• Genomics
• Bioinformatics
• Molecular Biology
• +۶ مورد دیگر

W. Walter Lorenz is an Assistant Research Scientist at the Georgia Genomics and Bioinformatics Core, University of Georgia. His research spans genomics, bioinformatics, and molecular biology with a focus on plant genetics, parasitology, and gene expression analysis. He leads the Georgia Genomics and Bioinformatics Core, providing advanced genomic tools and data analysis services. Research interests include understanding molecular mechanisms in plant defense responses, parasite-host interactions, and genomic approaches to study complex organisms like conifers and myxozoans. His work integrates transcriptomics, proteomics, and bioinformatics to address questions in evolutionary biology, stress physiology, and disease resistance. Key contributions include decoding the loblolly pine genome, developing genomic databases for conifers, and analyzing gene networks in drought-stressed plants. He has also explored microbial genomics, immunology, and animal physiology through studies on Chlamydia infections, natural killer cell biology, and avian reproduction. Notable projects involve Sirex woodwasp interactions with pines, myxozoan parasite evolution, and the functional characterization of glycosylation pathways in human immune cells. His research bridges basic science and applied challenges in agriculture, forestry, and human health. No scientific awards are explicitly mentioned in the provided texts. His work is supported by collaborations across disciplines and institutions, though specific grant details are not detailed here. He advises no listed students but contributes to training through his core facility.

Murli Nairمشاهده پروفایل

استاد

• Cancer Genomics
• RNA Sequence and Structural Patterns
• Nucleosome Positioning
• +۳ مورد دیگر

Murli Nair is a Professor of Bioinformatics at Indiana University. His research focuses on cancer genomics, RNA sequence analysis, nucleosome positioning, and machine learning applications in biological systems. He leads 'Murli's Lab,' which develops computational tools like MAASE and DNAV for genomic visualization and splicing array analysis. He teaches courses including Introduction to Bioinformatics, Biostatistics, and Genomics. Research interests include understanding chromosomal rearrangements via paired-end sequencing, identifying biomarkers through splicing arrays, and applying neural networks to model biological complexity. Key projects involve preeclampsia heterogeneity analysis and epigenetic programming in liver development. His work bridges computational methods with experimental validation, emphasizing translational applications in oncology and systems biology. Notable contributions include the MAASE database for alternative splicing studies and the DNAV tool for 3D genome visualization. His publications span cancer biology, bioinformatics algorithms, and genomic technologies. Current grants include NSF funding for genomics and RNA sequence studies. Collaborations focus on integrating machine learning with experimental data to address biological questions at scale.