جستجوی استاد راهنمای دانشگاهی

Matthias Hornمشاهده پروفایل

استاد

• Microbial Symbioses
• Bacterial Symbionts of Protozoa and Insects
• Evolution of Intracellular Bacteria
• +۲ مورد دیگر

Matthias Horn is a University Professor at the Centre for Microbiology and Environmental Systems Science of the University of Vienna, specializing in microbial symbioses and intracellular bacteria. He leads the Division of Microbial Ecology and investigates symbionts of amoebae, arthropods, and marine organisms, with a focus on genome evolution and host-pathogen interactions. Research Interests: Microbial symbioses (protozoa, insects) Evolution of intracellular bacteria Microbial genome evolution Host-eukaryote interactions Recent Publications explore chlamydiae adaptation, giant virus-host codon mismatches, and symbionts in corals and dinoflagellates. His work is supported by the Austrian Science Fund Cluster of Excellence Microbiomes Drive Planetary Health and previously by the ERC and FWF. Awards: FWF START Award (2005) ERC Starting Grant (2011) Teaching includes courses on molecular microbial ecology, symbiosis, and advanced techniques like FISH. His team comprises postdocs, PhD candidates, and technicians studying microbial interactions.

• Structural Biology
• Computational Biology
• Molecular Biophysics
• +۴ مورد دیگر

Bojan Zagrovic is a Professor at the Department of Structural and Computational Biology , University of Vienna. His research focuses on the interplay between protein structure, RNA interactions, and molecular dynamics, particularly in phase separation, enzyme mechanisms, and disease-related mutations. Key research areas: Structural Biology, Computational Biophysics, RNA-Protein Interactions, Phase Separation, and Protein Aggregation. Recent work includes studying FUS RGG3 phase separation, α-mannosidase pathophysiology, and SPOC domain interactions. His publications span molecular dynamics simulations, RNA modifications (e.g., N6-methyladenosine), and structural insights into ciliary proteins like CFAP410. He teaches courses in computational structural biology, molecular biophysics, and quantitative biology.

Nicole Sextonمشاهده پروفایل

استادیار

• Virology
• Viral Genetics
• Arboviruses
• +۵ مورد دیگر

Nicole R. Sexton, PhD is an Assistant Professor at the University of Nebraska-Lincoln in the School of Biological Sciences and the Nebraska Center for Virology. Her research focuses on viral genetic adaptations that permit viruses to survive and flourish in alternating host environments, particularly RNA arboviruses that cycle between arthropod and vertebrate hosts. Education: Postdoctoral fellowship, Colorado State University Ph.D., Vanderbilt University B.S., University of California – Santa Cruz A.S., Santa Rosa Junior College Dr. Sexton's research interests center on viral genetic robustness, particularly in pathogenic viruses that cycle between arthropod and vertebrate hosts. She investigates how arboviruses like Zika, chikungunya, Dengue, Japanese encephalitis, and Rift Valley fever viruses balance high mutation rates with cyclical transmission between different host species. Her work examines viral strategies to evade distinct immune functions across host species, how viral genetic robustness affects infection in different hosts, how arboviral populations prevent disruption from deleterious mutations while maintaining diversity for selection, and the distinct pressures applied to arboviruses from their arthropod hosts. Analysis of Dr. Sexton's recent publications (2016-2023) reveals a strong focus on viral evolution, particularly in arboviruses and coronaviruses. Her work spans molecular virology, host-virus interactions, viral genetics, and epidemiology. Key themes include viral adaptation to multiple hosts, mutation rates and genetic diversity, vector competence, and SARS-CoV-2 transmission dynamics. Her research employs multi-tiered approaches including bioinformatics, computational comparisons, molecular biology, classical virology, mosquito infections, and high-throughput sequencing technologies. Dr. Sexton leads the Sexton Lab at the University of Nebraska-Lincoln, which investigates mechanisms of efficient spread by arboviruses and virus traits associated with host preferences. The lab utilizes various approaches to study host-virus interactions, with a particular focus on how viruses maintain genetic robustness while adapting to alternating host environments.

André O. Hudsonمشاهده پروفایل

استاد

• Biochemistry
• Enzymology
• Amino Acid Metabolism
• +۷ مورد دیگر

André O. Hudson serves as Dean of the College of Science and is a Program Faculty member in the School of Chemistry and Materials Science at the Rochester Institute of Technology (RIT). He joined RIT in 2008 after completing a post-doctoral fellowship at Rutgers University and was appointed Dean of the College of Science in April 2023, having served as interim dean since August 2022. Education: B.S. in Biology, Virginia Union University (2000) Ph.D. in Plant Biochemistry, Rutgers University (2006) Dr. Hudson is trained as a biochemist with research focused on amino acid metabolism, structural analyses of enzymes involved in amino acid and bacterial peptidoglycan metabolism, and the isolation, identification and genomic characterization of plant-associated bacteria. His laboratory specifically targets the problem of antibiotic resistance by identifying and characterizing novel antibiotic lead compounds using techniques from biochemistry, molecular biology, bioinformatics, genomics, and microbiology. Additional research areas include amino acid metabolism, microbial genomics, and plastic degradation. His publication record spans multiple disciplines within microbiology and biochemistry, with particular emphasis on bacterial genomics, enzyme structure-function relationships, and antibiotic development. The research shows a clear progression from fundamental biochemical studies toward applied microbiology and antibiotic discovery, with numerous publications on endophytic bacteria, genome sequencing, and metabolic pathways relevant to antibiotic development. Dr. Hudson has secured approximately $1.3 million in federally funded grants and contracts as PI or CoPI from the NIH, NSF, Bayer Corporation, Sweetwater Energy, and Natcore Technology. He has published 43 peer-reviewed articles and presented more than 28 conference presentations in addition to 29 invited talks. As an educator, he has mentored numerous students in research and has published with many of them. He has served on numerous School, College, and Institute Committees, including chairing the College of Science Faculty Evaluation and Development Committee since 2014 and the RIT Isaac L. Jordan Faculty Pluralism Award Selection Committee since 2013. The Hudson Lab trains and mentors the next generation of scientists to solve today's problems while preparing them to tackle emerging scientific challenges. The lab is dedicated to addressing antibiotic resistance through biochemical, genomic, and microbiological approaches.

Khalique Newazمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Computational Biology
• Network Science
• +۳ مورد دیگر

Dr. Khalique Newaz is a Postdoc researcher at Cosy.Bio and a member of the Computational Systems Biology (CDL3) group at the Center for Data Science and Computing, University of Hamburg. His work focuses on developing data and network science approaches to understand biological systems, particularly the impact of alternative splicing on protein interactions. He holds a Ph.D. in Computer Science from the University of Notre Dame, USA, where he specialized in network-based computational methods for protein 3D structure analysis. Education: Ph.D. in Computer Science , University of Notre Dame, USA (Thesis: Network-based computational methods for comparing protein 3D structures) Research Interests: Dr. Newaz’s research integrates computational biology, network science, and machine learning to address complex biological questions. Key areas include: - Protein structure prediction and classification - Systems biology approaches to aging and cancer - Network analysis of genetic and epigenetic mechanisms - Development of alignment-free computational methods for biological data. Advising & Grants: No formal advisees or grants explicitly mentioned in the provided text. Labs/Teams: He collaborates closely with the Computational Systems Biology group and is affiliated with Cosy.Bio, leveraging interdisciplinary approaches to advance systems biology.

Jianzhi Zhangمشاهده پروفایل

استاد

• Molecular Evolution
• Genome Evolution
• Gene Expression Evolution
• +۶ مورد دیگر

Jianzhi Zhang serves as the Marshall W. Nirenberg Collegiate Professor and Professor of Ecology & Evolutionary Biology at the University of Michigan's College of Literature, Science, and the Arts. His laboratory conducts cutting-edge research at the intersection of molecular evolution, genomics, and RNA biology. Dr. Zhang's research focuses on evolution of gene expression and expression noise, RNA modification, and translation regulation . His work explores the fundamental question of "the relative roles of chance and necessity in genotype and phenotype evolution." Key areas include molecular and genome evolution, adaptive and nonadaptive RNA processing, and translational control mechanisms. His lab employs both computational and experimental approaches to investigate evolutionary dynamics. Analysis of his recent publications reveals consistent focus on synonymous mutations, fitness landscapes, dosage compensation, and evolutionary constraints . His work frequently challenges neutral theory assumptions while examining the interplay between genetic drift and selection across diverse biological systems from yeast to mammals. Scientific Recognition: Marshall W. Nirenberg Collegiate Professor (prestigious endowed chair) Dr. Zhang actively mentors graduate students and postdocs, with documented thesis defenses through 2025. His lab culture emphasizes strong logical reasoning and comprehensive research skill development including experimental design, data analysis, and scientific communication. While specific grants aren't listed, his sustained publication record and lab operations indicate significant research funding. The Zhang Lab maintains an active presence through regular group meetings, lab celebrations, and collaborative projects as evidenced by photos documenting activities from 2005 through 2025.

• Fungal Genomics
• Plant Pathology
• Evolutionary Biology
• +۳ مورد دیگر

Prof. Dr. Eva Stukenbrock leads the Max Planck Fellow Group Environmental Genomics at the Max Planck Institute for Evolutionary Biology in Plön, Germany. Her research focuses on the genomic evolution of plant-pathogenic fungi, particularly Zymoseptoria tritici , using population genomics and comparative approaches to unravel mechanisms of host specialization, virulence, and genome plasticity. Key Research Areas: Fungal plant pathogens, evolutionary genomics, population genetics, host-pathogen interactions, and microbiome dynamics Academic Leadership: Supervised 15+ PhD, Master’s, and Bachelor’s students in fungal pathogenesis and genomics Technical Innovation: Developed confocal microscopy pipelines for plant-fungal interaction analysis Her recent work reveals how domestication history shaped pathogen emergence, with studies on barley net blotch and oat crown rust in 2024. She has also uncovered roles of horizontal chromosome transfer in asexual pathogens and accessory chromosome loss leading to endophytic lifestyle shifts. Current projects include AI-assisted infection dynamics and tRNA composition analyses in fungal adaptation. Selected scientific trends from her 15 most recent articles include: Host specialization linked to vernalization requirements Segmental duplications driving accessory genome evolution Hybrid incompatibilities as speciation drivers Seed microbiome differences between wild and domesticated wheat Her lab collaborates with institutions like Christian-Albrechts-Universität zu Kiel and CRC Press , focusing on fungal effector biology , chromatin regulation , and agricultural disease management .

Abigail Leavitt LaBellaمشاهده پروفایل

استادیار

• Genomics
• Computational Biology
• Evolutionary Biology
• +۳ مورد دیگر

Dr. Abigail Leavitt LaBella is an Assistant Professor in the Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte. She holds a Ph.D. in Genetics and Genomics from Duke University (2017) and completed postdoctoral research at Vanderbilt University under Dr. Antonis Rokas, focusing on large-scale genomic datasets to study complex trait evolution in humans and fungi. Education: Ph.D., University Program in Genetics and Genomics, Duke University (2017) Research Interests : The LaBella Lab investigates patterns encoded in DNA, particularly focusing on the role of synonymous genomic variation in evolution and its implications for complex traits. Her work bridges computational methods with evolutionary biology to decode genetic information related to organismal history, present phenotypes, and future adaptability. Laboratory Focus : The lab utilizes computational approaches to analyze genomic sequences, with an emphasis on budding yeasts as a model clade for evolutionary studies, and explores how codon usage biases inform gene expression, ecology, and evolutionary mechanisms.

Alejandro Manzano Marínمشاهده پروفایل

پژوهشگر ارشد

• Host-Microbe Symbioses
• Evolutionary Genomics
• Comparative Genomics
• +۵ مورد دیگر

Alejandro Manzano Marín is a Senior Scientist at the University of Vienna 's Centre for Microbiology and Environmental Systems Science , specifically the Department of Microbiology and Ecosystem Science . His career bridges host-microbe symbioses , evolutionary genomics , and bioinformatics . Education: PhD in Biotechnology (University of Valencia, 2016), MSc in Molecular, Cell Biology and Genetics (University of Valencia, 2011), Bachelor in Genomic Sciences (UNAM, 2010) Previous Positions: Postdoctoral Researcher at INRA, France (2016-2019) Research Focus: Investigates obligate nutritional endosymbionts in aphids and blood-feeding leeches , analyzing genome reduction , symbiont replacement , and metabolic complementation . Key projects include SymBirth (artificial symbiont development) and studies on Haementeria officinalis leech symbioses. Scientific Contributions: Published 30+ articles, including 2025 studies on Sodalis nezarae symbiosis and Discoba codon usage mismatches. His work integrates whole-genome sequencing , microscopy , and phylogenetic analysis . Major Awards: CONACyT PhD Fellowship (2014) Marie Curie COFUND Postdoctoral Fellowship (2016) Marie Curie ITN PhD Fellowship (2011) Outreach: Active in science communication through Bluesky and Twitter , with media coverage on European Medicinal Leech Genome projects. Invited speaker at international conferences on symbiont turnover (2025) and evolutionary impacts (2025).

Michael Francis Wanglerمشاهده پروفایل

دانشیار

• Pediatric genetics
• Peroxisomal disorders
• Medical genetics
• +۴ مورد دیگر

Dr. Michael Francis Wangler is an Associate Professor at Baylor College of Medicine within the Graduate School of Biomedical Sciences and Department of Molecular & Human Genetics . His research focuses on pediatric genetics and peroxisomal disorders , using Drosophila models and genomics to study Mendelian disease mechanisms. Co-Director of Model Organisms Screening Center (MOSC) for Undiagnosed Diseases Network Active in clinical genetics at Texas Children's Hospital Research interests include: Deciphering molecular pathogenesis of rare diseases Genomics and metabolomics in peroxisome biogenesis disorders Functional validation of de novo variants Model organism applications in clinical genetics Recent publications highlight work on: DDX39B , RBBP5 , and DNMT3A variant-associated syndromes Biomarker discovery in peroxisomal diseases Neurodevelopmental disorder mechanisms via Drosophila Laboratory: Duncan Neurological Research Institute (Room DNRI-1050, Houston, TX)

Alisa Yurovskyمشاهده پروفایل

مدرس

• Computational Biology
• Computer Science
• Genetics
• +۵ مورد دیگر

Alisa Yurovsky is a Lecturer and IDEA Fellow at the Department of Biomedical Informatics at Stony Brook University. Her research focuses on computational biology at the intersection of computer science, genetics, and statistics to advance precision medicine. She earned her PhD in Computer Science from Stony Brook University under Steven Skiena, an M.S. in Computational Biology from EPFL under Bernard Moret, and a B.S. in Computer Science with a Mathematics minor from Carnegie Mellon University. Research Interests: Alisa develops computational algorithms for precision medicine applications, particularly addressing racial disparities in health data. Her current projects include compartment deconvolution in mixed tissue samples, spatial transcriptomics analysis, small-size differential expression studies, and machine learning in biomedical informatics. Publications Trends: Her recent work spans spatial transcriptomics, survival analysis, and machine learning applications in genomics. She has contributed to algorithms for cell-cycle phase detection, ribosomal frameshift identification, and non-negative matrix factorization. Scientific Awards: 2023 IDEA Fellowship 2020 NSF/CRA/CCC Computing Innovation Postdoctoral Fellow 2017 CEWIT Best Poster Award 2016 NSF Graduate Research Fellowship 2010 Prix Annaheim-Mattille for Master’s Thesis 2007 Cadence Design Systems Award Advising and Grants: She mentors undergraduate and high school students through Stony Brook’s VIP Webgen team and Simons Summer Research Program. Her research has received support from NSF and institutional grants.

Erik van Nimwegenمشاهده پروفایل

استاد

• Gene Regulatory Networks
• Genome Evolution
• Computational Biology
• +۵ مورد دیگر

Prof. Dr. Erik van Nimwegen is a Professor at the Biozentrum of the University of Basel, where he leads a research group focused on computational and systems biology. His laboratory is housed in Room 08.012 at the Biozentrum, with contact information including phone number +41 61 207 15 76 and email erik.vannimwegen@unibas.ch. His administrative support is provided by Rita Ruppen and Jonila Vladi. Van Nimwegen's research centers on understanding the function and evolution of genome-wide regulatory networks. His group investigates how cells control gene expression using both theoretical and experimental methods, with particular interest in deciphering the genome's regulatory code, analyzing gene expression dynamics from single cells to genome-wide regulatory programs, and uncovering quantitative laws of genome evolution. His interdisciplinary approach combines computational predictions with experimental data to model regulatory networks across organisms from E. coli to humans. His work has significant implications for understanding cellular behavior, developing evolutionary theory based on measurable quantities, and potential applications ranging from taming pathogens to engineering human tissue. Analysis of his recent publications reveals a consistent focus on gene regulatory networks, with increasing emphasis on single-cell analysis, computational modeling of biological systems, and the evolutionary aspects of gene regulation. His work spans bacterial systems (particularly E. coli) to higher eukaryotes, with recent publications showing expansion into visualization techniques for single-cell data, cancer research related to RNA processing, and even virology with work on COVID-19 origins. A notable trend is the integration of multiple data types (multiomics) and the development of sophisticated computational tools for analyzing complex biological systems. Van Nimwegen's group has developed numerous software tools and web services for regulatory and comparative genomics, including ISMARA (Integrated System for Motif Activity Response Analysis), CRUNCH (for ChIP-seq data analysis), SwissRegulon database, Phylogibbs, and others. These resources reflect his commitment to creating practical tools that advance the field of computational biology. His laboratory operates as an interdisciplinary team with researchers from diverse backgrounds including theoretical physics, computer science, and molecular biology. The group actively recruits postdocs and engineers, as evidenced by a 2018 posting seeking researchers for computational analysis of bioimages. His work has established important theoretical frameworks for understanding gene regulatory networks and their evolution, with significant contributions to the field of systems biology.

Ana Llopartمشاهده پروفایل

دانشیار

• Evolution
• Genetics
• Speciation
• +۲ مورد دیگر

Ana Llopart is an Associate Professor in the Department of Biology at the University of Iowa with expertise in speciation genetics, utilizing the Drosophila yakuba and D. santomea hybrid system endemic to São Tomé island where natural hybrids occur at 3% frequency. Education PhD, The University of Barcelona Research Interests Her laboratory investigates the genetic architecture of reproductive isolation through three integrated approaches: (1) cytoplasmic-nuclear incompatibilities causing hybrid female sterility, (2) natural introgression patterns revealing genomic regions under selection, and (3) cis-regulatory breakdown in hybrid gene expression. This work combines classical genetics with cutting-edge genomic and population genetic methodologies to dissect speciation mechanisms. Publication Trends Analysis of her 15 most recent publications (2006-2024) reveals consistent focus on Drosophila speciation genomics, with recurring themes including Faster-X evolution dynamics, cytonuclear coevolution, and the genomic architecture of reproductive barriers. Her research frequently employs comparative analyses of closely related species pairs, particularly D. yakuba/D. santomea, to identify loci involved in hybrid dysfunction and adaptive introgression. Scientific Awards No scientific awards are documented in the provided source material. Advising and Grants Information regarding graduate student advising and research grant funding is not specified in the available documentation. Laboratory and Research Team Dr. Llopart directs a research laboratory studying speciation in the unique D. yakuba/D. santomea system, characterized by an altitudinal hybrid zone on Pico de São Tomé. Her team employs genetic mapping, genomic sequencing, and population genetic analyses to investigate the molecular basis of hybrid sterility and the evolutionary consequences of natural hybridization.

Anton A. Komarمشاهده پروفایل

استاد

• Protein Synthesis
• Co-translational Protein Folding
• Translational Control of Gene Expression
• +۵ مورد دیگر

Anton A. Komar is a Professor and Director of the Center for Gene Regulation in Health and Disease (GRHD) at Cleveland State University's College of Arts and Sciences. His research focuses on protein synthesis, co-translational protein folding, and translational control of gene expression in eukaryotic cells. He maintains an active laboratory investigating the structure and function of eukaryotic initiation factors and the impact of synonymous mutations on protein function. Dr. Komar's research interests center on understanding how translation initiation works in eukaryotic cells, particularly focusing on eukaryotic initiation factor eIF2A. His work explores how synonymous codon usage along mRNA modulates protein translation kinetics, providing an active mechanism for coordinating the synthesis, maturation and folding of nascent polypeptides. This research has significant implications for understanding human diseases including diabetes and cancer. His recent publications demonstrate consistent research activity in protein translation mechanisms, with a particular focus on how ribosome function shapes protein folding. His work spans from fundamental molecular mechanisms to applications in viral genomics and hemophilia research. Dr. Komar has maintained a strong publication record throughout his career, with significant contributions to understanding the relationship between codon usage and protein folding. As Director of GRHD, Dr. Komar oversees a research center that facilitates collaborative work across disciplines, supporting both basic and translational research in gene regulation. His leadership role indicates his standing within the university's research community. Dr. Komar mentors several graduate students and postdoctoral fellows, maintaining an active laboratory focused on eukaryotic translation mechanisms. His work has contributed significantly to understanding how translational control plays a pivotal role in development, differentiation, cell cycle progression, cell growth, apoptosis, and stress responses.

Uladzimir Karniychukمشاهده پروفایل

استاد مدعو

• Emerging and Re-emerging Infectious Diseases
• Viral Pathogenesis
• Animal Models of Viral Diseases
• +۳ مورد دیگر

Uladzimir Karniychuk is an Adjunct Professor in the Department of Veterinary Microbiology at Ohio State University and leads Zika virus research at VIDO-Intervac (University of Saskatchewan). He holds a DVM from Vitebsk State Academy of Veterinary Medicine (2005) and a PhD in Veterinary Medicine from Ghent University (2012), focusing on porcine reproductive and respiratory syndrome virus (PRRSV) pathogenesis. His research spans emerging infectious diseases, viral host interactions, and vaccine development using animal models. Key areas include: Design and validation of humanized mouse and ferret models for HIV-1 and influenza Mechanisms of Zika virus infection in utero and fetal outcomes Development of CpG-recoded Zika virus vaccine candidates Pathogen persistence in reproductive tissues Publications highlight innovative strategies in viral attenuation, molecular footprints of persistent infections, and cross-species transmission dynamics. His work bridges basic virology with translational applications in veterinary and human medicine.