جست‌وجوی استاد و پژوهشگر

Maria Brbicمشاهده پروفایل

استادیار

• Machine Learning
• Computational Biology
• Biomedical Data Analysis
• +۳ مورد دیگر

Maria Brbic is a Tenure Track Assistant Professor at EPFL, holding dual appointments in Computer Science and Life Sciences. She leads the Machine Learning for Biomedicine Lab (MLBIO) and is affiliated with the EPFL AI Center and Institute of Bioengineering (IBI). Prior to EPFL, she conducted postdoctoral research at Stanford University and was a member of the Chan Zuckerberg Biohub. PhD: University of Zagreb (2019) Postdoc: Stanford University (2019-2021) Her research develops machine learning methods that generalize to novel biomedical scenarios, focusing on heterogeneous datasets like single-cell RNA-seq and spatial transcriptomics. Key contributions include SATURN for cross-species integration and MARS for novel cell-type discovery. Recent publications explore generative AI for tissue reassembly , multimodal foundation models , and unsupervised in-context learning applied to biomedical problems. Her lab pioneered open-world learning frameworks for drug discovery and aging research. Fulbright Scholarship L’Oreal UNESCO for Women in Science Branimir Jernej Award Josip Loncar Silver Plaque MIT Rising Star in EECS (2021) SNSF Starting Grant (2024) Maria advises PhD students in computer science and computational biology. Her work bridges disciplines through collaborations with bioengineering labs, emphasizing interdisciplinary innovation and real-world biomedical impact .

Samuel Rundمشاهده پروفایل

عضو هیئت علمی

• Chronobiology
• Vector Ecology
• Mosquito Biology
• +۷ مورد دیگر

Samuel Rund is a Research Assistant Professor at the University of Notre Dame, jointly appointed in the Center for Research Computing and the Department of Biological Sciences, and is a faculty affiliate of the Eck Institute for Global Health. His work bridges chronobiology, vector ecology, and data cyberinfrastructure, with a focus on mosquito vectors of human disease. Ph.D. in Biological Sciences, University of Notre Dame Postdoctoral training in chronobiology and entomology His research centers on circadian and seasonal rhythms in mosquitoes, particularly how light, temperature, and time-of-day influence biting behavior, physiology, and malaria transmission. He explores these rhythms at molecular, physiological, and ecological levels, with recent field studies in Ghana and across the U.S. His work has shown that artificial light at night increases biting in Aedes aegypti , and that temperature cycles modulate daily activity in Anopheles stephensi . His recent publications reflect a strong emphasis on data integration and standardization in vector biology. He leads or contributes to major data initiatives such as VectorByte, VEuPathDB, and MIReAD, promoting FAIR data principles and open science. His work spans modeling vector abundance, biocuration, and global surveillance, with applications to malaria and arboviral disease control. His scientific awards include the Newton International Fellowship from The Royal Society, UK. He is a co-PI on major grants from the NSF, USDA, Bill & Melinda Gates Foundation, and NIH. Collaborative Research: CIBR: VectorByte (NSF) Mosquito Distributions and Seasonal Abundance (USDA) VectorAtlas (Gates Foundation) He advises on the VectorAtlas project and serves on the advisory board of the UK One Health Vector-Borne Diseases Hub. He actively promotes training and data literacy through workshops and open-access platforms. He has no listed advisees in the provided text but collaborates widely across institutions including Virginia Tech, University of Florida, Oxford, and Imperial College London. He maintains active research labs focused on mosquito chronobiology and data cyberinfrastructure, with ongoing field and computational projects in the U.S., Africa, and beyond. Future work includes expanding continental-scale mosquito surveillance and refining predictive models for vector abundance and disease risk.

• Ophthalmology
• Stem Cell Research
• Genomics
• +۲ مورد دیگر

Ajeet Singh serves as a Postdoctoral Associate within the Department of Ophthalmology at Baylor College of Medicine, focusing on translational vision research and genomic medicine. His primary research domains include: Ophthalmology, with specialized expertise in age-related macular degeneration (AMD) pathogenesis Stem Cell Research utilizing patient-derived induced pluripotent stem cells (iPSCs) for retinal disease modeling Genomics and Bioinformatics approaches to inherited retinal disorders Plant Genomics (historical focus) involving non-coding RNA analysis and database development Publication analysis reveals a strategic research evolution: from 2018-2022, Singh developed multiple plant genomics databases (PtRNAdb, PtncRNAdb, PVsiRNAdb) studying tRNA-derived fragments and fusion transcripts. Since 2023, his work pivoted sharply toward ophthalmology, generating iPSC models for AMD using patient samples and twins discordant for the disease, while integrating multiomic data to identify disease modules. This transition demonstrates exceptional adaptability across biological domains. No scientific awards were documented in available sources. Academic mentoring activities and grant funding details remain unreported in current institutional profiles. Dr. Singh operates within Baylor College of Medicine's Ophthalmology department infrastructure, though specific laboratory affiliations or collaborative networks aren't detailed in public listings.

Jennifer Deeganمشاهده پروفایل

پژوهشگر

• Plant Development
• Bioinformatics
• Synthetic Biology
• +۴ مورد دیگر

Dr. Jennifer Deegan is a Researcher in the Department of Plant Sciences at the University of Cambridge. She is primarily a stay-at-home mother who conducts independent plant science research as a volunteer. Her work focuses on the macrophotography of fern gametophytes using focus stacking technology. University: University of Cambridge Department: Department of Plant Sciences Academic Rank: Researcher Dr. Deegan's research interests span plant development, bioinformatics, synthetic biology, and botanical imaging. She has contributed to the understanding of fern gametophyte development and the application of computational tools in plant science, including Gene Ontology and focus stacking technology. Dr. Deegan's recent publications highlight her work in botanical imaging and computational biology. Her projects have received grants from Biomaker and OpenPlant, with a focus on developing accessible imaging systems and educational materials. Biomaker Spirit Award (2017) OpenPlant Grant (2018, £5000) Biomaker Grant (2017, £1000) Dr. Deegan has been involved in projects that aim to improve the accessibility of focus stacking technology for educational and research purposes. She has also contributed to research on Utricularia gibba traps and Arabidopsis thaliana trichomes with collaborators from the John Innes Centre and the Sainsbury Laboratories.

• Bioinformatics
• Machine Learning
• Protein-Protein Interaction Prediction
• +۴ مورد دیگر

Erdem Türk is an Assistant Professor in the Department of Computer Engineering at the Faculty of Engineering, Muğla Sıtkı Koçman University. He completed his PhD in Bioinformatics in 2024 and currently holds significant administrative positions including Engineering Faculty Deputy Dean and Computer Engineering Department Vice Chair since 2024. His academic career has been entirely at Muğla Sıtkı Koçman University, where he has progressed from undergraduate studies through to doctoral completion. His educational background includes: Bachelor's Degree in Computer Engineering (2009-2014) Master's Degree in Informatics Systems Engineering (2014-2019) Doctorate in Bioinformatics (2019-2024) Dr. Türk's research primarily focuses on applying computational methods to biological problems, with particular emphasis on protein-protein interaction prediction using machine learning techniques. His work bridges computer science and biology, developing algorithms for virus-host interaction prediction, genomic variant analysis, and clinical decision support systems. He has established a strong research trajectory in bioinformatics with publications in high-impact journals like PLOS ONE and Frontiers in Molecular Biosciences. Analysis of his publication record reveals a clear progression from foundational work in protein interaction prediction to increasingly sophisticated applications in viral infection prediction and clinical genomics. His most recent work demonstrates integration of machine learning with biological domain knowledge, particularly in host-pathogen interactions and uncovering clinically significant genomic variants. Dr. Türk actively contributes to the academic community through multiple administrative roles including membership on the Engineering Faculty Quality Committee, participation in the Artificial Intelligence Upper Committee, and serving on the Disabled Students Unit Coordination Board since 2020. He teaches core computer science courses including Programming Fundamentals, Data Structures and Algorithms, and specialized Bioinformatics Algorithms. His research is supported by several TÜBİTAK projects where he serves as a scholar, including completed projects on adenovirus host specificity prediction and whole-exome sequencing variant detection, plus an ongoing project developing genetic analysis kits for CAR-T cell therapies in leukemia treatment.

R. Alan Harrisمشاهده پروفایل

استادیار

• Bioinformatics
• Genomics
• Epigenomics
• +۳ مورد دیگر

R. Alan Harris is an Assistant Professor at the Baylor College of Medicine within the Human Genome Sequencing Center and Molecular and Human Genetics department. His research integrates bioinformatics, genomics, and epigenomics to develop nonhuman primate disease models while investigating primate evolution and epigenetic regulation in development and disease. PhD and postdoctoral training in Molecular and Human Genetics at Baylor College of Medicine MA in Biological Anthropology from Kent State University BA in Anthropology and Geology from Florida State University Key research areas include: Development of nonhuman primate models for human diseases (rhesus macaque, marmoset) Primate genome assembly and annotation for biomedical research Epigenomic regulation via DNA methylation in disease and development Computational tools for genomic and epigenomic data analysis Primate comparative genomics to understand evolutionary chromosomal changes Recent publications focus on genomic diversity in primates, mutation rate analysis across species, disease modeling in nonhuman primates, and epigenetic regulation in developmental and pathological contexts. Collaborative work spans primate evolution, immunogenetics, and biomedical applications of genome sequencing.

Jeffrey Rogersمشاهده پروفایل

دانشیار

• Primate models of human disease
• Psychiatric disorders
• Comparative primate genomics
• +۳ مورد دیگر

Jeffrey Rogers, Ph.D. , is an Associate Professor in the Department of Molecular and Human Genetics at Baylor College of Medicine and a Core Scientist at the Wisconsin National Primate Research Center . He is also a Faculty Senator and an active member of graduate programs in Genetics & Genomics and Development, Disease Models & Therapeutics at Baylor. Education: BA in Anthropology (Northwestern University, 1978), PhD in Anthropology (Yale University, 1989) His research focuses on primate genetics and genomics , particularly their application as models for human diseases. Key projects include: Co-leading the Primate Conservation and Sequencing Initiative (PCS1), an international consortium analyzing genomic diversity across 233 primate species. Pioneering studies of population genomics in Papio baboons , identifying hybridization and gene flow patterns relevant to human-Neanderthal evolutionary dynamics. Sequencing over 2,000 rhesus macaques to map functionally significant variants for disease phenotypes. His work bridges biomedical research and evolutionary biology , with applications in psychiatric disorders , cancer , and retinal diseases . Recent publications highlight discoveries in: Hybridization mechanisms in baboons (2023) Tolerance of genetic variation in primates compared to humans (2023) Predictive value of primate data for human disease mutations (2023) He leads collaborative efforts involving 17+ countries , integrating bioinformatics, computational biology, and cross-species comparative analysis.

Susan Landمشاهده پروفایل

دانشیار

• Genomics
• Cancer biology
• Next-generation sequencing
• +۴ مورد دیگر

Susan Land, PhD , is a full-time Associate Professor in Research at Wayne State University , where she also serves as Director of the Applied Genomics Technology Center (AGTC) . Spanning roles in research, teaching, and core-facility leadership, she supports investigators across the Department of Biology, the C. S. Mott Center for Human Growth and Development, and the Karmanos Cancer Institute. Education & Training: While specific degrees are not detailed in the provided text, Dr Land’s extensive instruction of graduate courses in genomics, cancer biology, and biomedical engineering indicates advanced graduate training in molecular biology or a closely related field. Research Interests: Dr Land’s work centers on genomic technologies , next-generation sequencing , single-cell genomics , and precision medicine . Her Applied Genomics Technology Center delivers DNA/RNA isolation, genotyping, expression profiling (qPCR, Illumina BeadArrays, Affymetrix GeneChips, digital gene expression), and whole-exome sequencing, supporting projects from cancer epidemiology to placental biology. Publication Trends: Across more than 60 peer-reviewed articles since 2002, her research demonstrates a clear trajectory from methodological tool development (e.g., SnpEff) to large-scale genetic epidemiology studies—particularly in lung and prostate cancer among African-American populations—and integrative systems-biology investigations of complex diseases such as preeclampsia and asthma pharmacogenomics. Scientific Awards & Honors: No specific awards are listed in the supplied text. Student Advising & Mentoring: Ahmed Ibrahim Ahmed, MD – PhD thesis on “Transcriptomic Analysis of Cell-Free RNA in the Amniotic Fluid of Patients with Preterm Labor using Next Generation Sequencing” Ongoing mentorship of MD/PhD students, Reproductive Endocrinology fellows, and junior faculty recruits via AGTC facility tours and collaborative projects. Laboratory & Core Facility: Dr Land directs the Applied Genomics Technology Center (AGTC) , a state-of-the-art Wayne State core facility equipped with low- and high-throughput genomic instrumentation. Services include DNA/RNA extraction, qPCR, Illumina BeadArrays, Affymetrix GeneChips, Illumina Genome Analyzer IIx, and comprehensive bioinformatics support.

Curtis A. Hansonمشاهده پروفایل

استاد بالینی

• Diagnostic Hematopathology
• Clinical Flow Cytometry
• Laboratory Medicine
• +۴ مورد دیگر

Curtis A. Hanson is a distinguished Clinical Professor at the Mayo Clinic College of Medicine and Science , affiliated with the Mayo Clinic Comprehensive Cancer Center and Department of Laboratory Medicine and Pathology . He specializes in diagnostic bone marrow hematopathology, clinical flow cytometry, and laboratory management, with a focus on hematologic malignancies and myelodysplastic syndromes. 1987 Residency - Anatomic and Clinical Pathology, University of Minnesota 1986 Fellowship - Hematopathology, University of Minnesota 1982 MD - Carver College of Medicine, University of Iowa 1978 BS - Nebraska Wesleyan University His research spans hematopathology , genomic profiling in blood cancers, and prognostic modeling for myeloproliferative neoplasms. Collaborative studies with institutions in Italy and the Mayo Clinic have advanced understanding of clonal evolution in chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis. Key publications highlight expertise in molecularly-informed risk stratification for essential thrombocythemia, polycythemia vera, and primary myelofibrosis. His work with the E1912 trial team established long-term outcomes for ibrutinib-rituximab in CLL compared to chemoimmunotherapy. Scientific accolades include: 1999 Excellence in Leadership - Mayo Clinic 1997 Teacher of the Year - Department of Laboratory Medicine and Pathology 1988 Board Certification - American Board of Pathology (Hematology) 1987 Board Certification - Anatomic & Clinical Pathology Professional leadership roles include chairing the American Clinical Laboratory Association and Mayo Clinic's Executive Committee for Laboratory Medicine . His advisory and grant activities focus on laboratory optimization , epigenetic research in hematologic disorders, and clinical practice standardization .

• Genetic variability of complex traits
• Genetic mapping
• Genomics
• +۳ مورد دیگر

Frédéric Lecerf is a researcher at Institut Agro Rennes-Angers within the Department of Animal Production, Agrifood, Nutrition (P3AN) and the UMR PEGASE unit (Physiology, Environment and Genetics for Animals and Livestock Systems). His work bridges teaching and research in animal genetics. Teaching: Genetic analysis of traits, animal selection, genetic mapping, genomics, and bioinformatics for Agro Rennes-Angers Institute trainings (personal projects, research internships, tutored courses). Research: Focus on genetic variability of complex traits through mapping and genomics; genome structuring and gene expression regulation; functional genome annotation. Contact: frederic.lecerf@institut-agro.fr | Tel: +33 (0)2 23 48 59 62

Lisa Kadlecمشاهده پروفایل

استاد

• Cell Signaling
• Developmental Genetics
• Genome Annotation
• +۳ مورد دیگر

Dr. Lisa Kadlec is a Professor in the Department of Biology at Wilkes University, where she leads research in developmental genetics and cell signaling. Her office is located in the Cohen Science Center (Room 216), and she teaches key courses including Genetics, Developmental Biology, and Cellular and Molecular Biology. Education: Post-doctoral Research Fellowship, Princeton University Ph.D., Duke University B.A., Haverford College Research Focus: Dr. Kadlec investigates EGFR signaling pathways in Drosophila melanogaster , examining gene regulation during egg development and wing morphogenesis. She also participates in comparative genomics of Drosophila dot chromosomes through the Genomics Education Partnership, analyzing evolutionary changes in heterochromatic domains. Publication Trends: Her recent work (2006–2012) consistently explores EGFR-mediated developmental processes in Drosophila, with emphasis on eggshell formation, cell migration, and morphogenetic mechanisms. Research methodologies include microarray screening, RNA interference, and comparative genome annotation.

Sebastian Marquardtمشاهده پروفایل

دانشیار

• Non-coding Genome
• RNA Processing
• Chromatin Biology
• +۵ مورد دیگر

Dr. Sebastian Marquardt is an Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen , leading the Molecular Plant Biology section. His research focuses on uncovering molecular mechanisms of the non-coding genome and its role in organismal fitness. Education : PhD in Biological Sciences from the University of East Anglia (dissertation: Linking RNA Processing to Chromatin via Flowering Time Study) Research interests include: RNA polymerase II transcription in non-coding regions Short promoter-proximal RNAs (sppRNAs) and their correlation with gene expression Chromatin-based signaling during transcriptional interference Co-transcriptional RNA processing and modification Recent publications address topics like non-coding RNA isoforms in food security, co-transcriptional miRNA processing, and histone chaperone mechanisms in Arabidopsis. His work emphasizes transcriptional dynamics over RNA product functionality. Scientific awards include: EMBO Young Investigator Program (2020) Hallas-Møller Investigator Award (2015) European Research Council Starting Grant (2017) Novo Nordisk Ascending Investigator (2021) Marquardt supervised BSc thesis student Julie Overgaard Hansen and hosted researcher Lucia Gonzalo (2023). His laboratory developed innovative methods for detecting non-coding transcription units missed by conventional approaches.

Ellinor Opsal Alsethمشاهده پروفایل

پژوهشگر

• Phage therapy
• Phage-bacteria evolutionary ecology
• Phage resistance evolution
• +۵ مورد دیگر

Ellinor Opsal Alseth is a Researcher and young group leader at the Department of Pharmacy, UiT The Arctic University of Norway in Tromsø. She holds a PhD in Microbiology from the University of Exeter (2022) and previously served as a CMDI Early Career Award Fellow at Georgia Tech (2022-2025). Her educational background includes a BSc in Evolutionary Biology from the University of Exeter (2016) followed by her PhD in Microbiology from the same institution (2022). Prior to her current position, she worked as a lab technician in the Westra lab at the University of Exeter (2017). Dr. Opsal Alseth's research focuses on phage therapy, phage-bacteria evolutionary ecology, and phage resistance evolution, with particular emphasis on Acinetobacter baumannii as both an opportunistic pathogen and model organism. She specializes in phage biology with a focus on lytic phages, having discovered the broad host range Acinetobacter phage 'Mystique' during her postdoctoral work in the US. Her work bridges evolutionary biology and microbial ecology to address antibiotic resistance challenges. Her publication record shows significant recent activity across multiple high-impact journals, with research spanning phage therapy applications, bacterial resistance mechanisms, and microbial evolutionary dynamics. Her work demonstrates strong interdisciplinary connections between computational biology, experimental evolution, and clinical applications. CMDI Early Career Award Fellow (2022-2025) Dr. Opsal Alseth leads an active research group focused on the evolution of phage resistance using A. baumannii and natural transformation. She maintains strong collaborative networks across the phage research community, regularly contributing to and reposting relevant research on her Bluesky profile. Her laboratory work centers on the newly discovered Mystique phage and its applications in understanding host-pathogen interactions.

Bindu Nanduriمشاهده پروفایل

استاد

• Genomics
• Bioinformatics
• Infectious diseases

Dr. Bindu Nanduri is a Professor at the Missippi State University College of Veterinary Medicine , specializing in Genomics , Bioinformatics , and Infectious diseases . She holds a Ph.D. in Biochemistry from the University of Arkansas Medical Sciences (1998), an M.S. in Biochemistry from the University of Rookee (1992), and a B.S. in Botany (1989). Her research focuses on pathogen-host interactions , machine learning applications in veterinary medicine , and transcriptomic/proteomic analysis of livestock diseases , particularly bovine respiratory disease (BRD) and Salmonella prevalence in poultry. She has pioneered "no-boundary thinking" approaches for integrative bioinformatics and developed tools like the Proteogenomic Mapping Tool and HPIDB for host-pathogen interactions. Key publication trends show expertise in bovine health biomarkers , polyamine metabolism in pathogens , and AI-driven microbiome analysis . She has presented at conferences including MCBIOS , World Buiatrics Congress , and International Plant and Animal Genome meetings.

Hasan Tekedarمشاهده پروفایل

استاد پژوهشی

• Infectious Diseases
• Computational Biology
• Host Pathogen Interaction
• +۳ مورد دیگر

Hasan Tekedar is a Research Professor at the College of Veterinary Medicine, Mississippi State University. His research focuses on genomic mechanisms of bacterial pathogens affecting aquatic animals, with emphasis on antimicrobial resistance, virulence factors, and host-pathogen interactions in aquaculture systems. Education: Ph.D. Veterinary Medical Science, Mississippi State University (2017) M.S. Veterinary Medical Science, Mississippi State University (2014) M.S. Biotechnology (2009) B.S. Biological Sciences (2005) Research Interests: Dr. Tekedar specializes in infectious disease genomics, particularly bacterial pathogenesis in fish. His work integrates computational biology with molecular analyses to study pathogens like Aeromonas , Edwardsiella , and Flavobacterium , addressing challenges in aquatic animal health and aquaculture sustainability. Research Publications: His recent articles (2017-2024) predominantly analyze bacterial genomes from aquaculture pathogens, revealing virulence mechanisms, antimicrobial resistance patterns, and evolutionary adaptations. Key themes include comparative genomics of fish pathogens, stress response systems, and molecular determinants of biofilm formation. Scientific Awards: No awards listed. Academic Roles: No advising activities or grants reported. Laboratory/team affiliations are not specified in available data.