جست‌وجوی استاد و پژوهشگر

David Murrugarraمشاهده پروفایل

دانشیار

• Mathematical Biology
• Systems Biology
• Computational Biology
• +۳ مورد دیگر

David Murrugarra is an Associate Professor in the Department of Mathematics at the University of Kentucky, within the College of Arts & Sciences. His research focuses on Mathematical Biology, with emphasis on Systems Biology and Computational Biology. He holds a PhD in Mathematics from Virginia Tech and completed a postdoctoral fellowship at the School of Mathematics at Georgia Tech before joining UK in 2014. His contact information includes murrugarra@uky.edu and an office at 771 Patterson Office Tower. Education: PhD in Mathematics, Virginia Tech Postdoctoral Research, School of Mathematics, Georgia Tech Research Interests: Dr. Murrugarra develops theoretical and computational tools for modeling gene regulatory networks, optimal control of probabilistic models using Markov decision processes, and RNA secondary structure prediction via machine learning. His funded projects include an NSF grant on modularity in biological systems and a UK Pilot Grant on RNA structure predictability. Recent Research Trends: His work bridges abstract mathematical frameworks with biological applications, emphasizing modularity, network control, and systems-level analysis. Key themes include modular decomposition of biological networks, intervention strategies for cancer systems, and the integration of machine learning into biological modeling. Grants & Projects: NSF grant: Mathematical Theory of Biological Modularity UK Pilot Grant: RNA Secondary Structure Prediction Labs & Collaborations: He leads a weekly Applied and Computational Mathematics seminar and co-organizes the Mathematics Community and Ethics (MCE) Working Group at UK. His research group actively engages in interdisciplinary projects combining mathematics, biology, and computational science.

Michael Wuمشاهده پروفایل

دانشیار

• Environmental Toxicology
• Molecular Genetics
• Stress Biology
• +۳ مورد دیگر

Michael Wu is an Associate Professor in the Department of Veterinary Biomedical Sciences at the University of Saskatchewan. His research focuses on molecular mechanisms of cellular responses to environmental stress, particularly using the nematode Caenorhabditis elegans . He holds a BSc and PhD in Biology from Carleton University and completed postdoctoral training at the University of Florida's Biology and Genetics Institute. His lab investigates how genetic factors interact with environmental stressors to influence development, aging, and stress resistance. Key research areas include environmental toxicology, molecular genetics, stress biology, and aging. Techniques employed include classical genetics, molecular biology, and animal physiology. Recent work highlights advancements in understanding RNA processing errors, stress response pathways, and toxicity of environmental chemicals. His lab's website is www.usaskwormlab.ca . Publications span topics such as mTOR signaling in metabolic stress adaptation, oxidative stress-inducing chemicals, and neuron-specific toxicity of acrylamide. While no scientific awards are listed, his research contributes to toxicology, aging, and environmental health. He mentors students at undergraduate, graduate, and postdoctoral levels, emphasizing hands-on training in stress biology and molecular genetics.

Ulrike Stegeمشاهده پروفایل

دانشیار

• Computational Biology
• Parameterized Complexity
• Design of Heuristics
• +۴ مورد دیگر

Ulrike Stege is an Associate Professor and Director of the Master of Engineering in Applied Data Science (MADS) at the University of Victoria's Faculty of Engineering and Computer Science. She holds a PhD from the Swiss Federal Institute of Technology (ETH Zurich). Her research spans computational biology, parameterized complexity, algorithm design, graph theory, and cognitive psychology. She leads initiatives in quantum computing frameworks and educational tools, including projects like SCOOP (quantum optimization) and QGrover (quantum algorithm visualization). Her work also addresses RNA pseudoknot structure prediction and the integration of quantum computing into combinatorial optimization software. Key educational contributions include developing browser-based quantum learning tools (e.g., QNotation and QuantumCrypto) and promoting computational thinking in K-12 education. Her research bridges theoretical computer science with practical applications in biology and quantum systems, emphasizing algorithmic innovation and interdisciplinary collaboration. Her publications focus on advancing quantum computing frameworks, optimizing bioinformatics algorithms, and creating accessible educational resources. Recent work addresses quantum annealing for constrained optimization, structural biochemistry of viral RNA, and hybrid quantum-classical problem-solving methods.

Marta Biagioliمشاهده پروفایل

پژوهشگر

• Neurodegenerative Diseases
• Genetics
• RNA Biology
• +۲ مورد دیگر

Marta Biagioli is a Researcher in Genetics at the Department of Cellular, Computational and Integrative Biology (CIBIO) , University of Trento. Her work focuses on Huntington's disease and neurodevelopmental disorders , combining molecular genetics , RNA biology , and translational research . Her research investigates RNA biogenesis defects in Huntington’s disease, including circular RNAs (circHTT) and SINEUP antisense RNAs . She explores how CAG repeat expansions alter splicing dynamics and neuronal vulnerability , with implications for biomarker development and RNA-based therapies . Key trends in her publications reveal expertise in non-coding RNA , neurogenetic mechanisms , and epigenetic regulation . Her work spans model systems , transcriptomic analysis , and therapeutic design for diseases like Huntington’s and autism. Marta’s laboratory at CIBIO integrates interdisciplinary approaches to decode complex disease phenotypes. She actively engages in science communication , bridging academic research with public understanding through platforms like #UniTrentoStories.

Song Wuمشاهده پروفایل

دانشیار

• Statistical Genomics
• Next-Generation Sequencing
• Bioinformatics
• +۲ مورد دیگر

Song Wu is Associate Professor in Applied Mathematics and Statistics at Stony Brook University, leading the Wu Lab focused on statistical genomics and bioinformatics. His research integrates statistics with genetics to analyze complex traits using next-generation sequencing data, microarray technologies, and longitudinal analysis methods. His recent publications highlight research in: Statistical methods for RNA-seq and isoform expression analysis Cancer risk modeling and biomarker discovery Neurovascular regulation of hippocampal neurogenesis High-throughput barcode clustering algorithms Multi-locus genetic mapping approaches

Azmy Acklehمشاهده پروفایل

استاد

• Mathematical Ecology
• Mathematical Epidemiology
• Computational Mathematics
• +۳ مورد دیگر

Azmy S. Ackleh is a Professor of Mathematics and Dean of the Ray P. Authement College of Sciences at the University of Louisiana at Lafayette. He holds the R.P. Authement Endowed Chair in Computational Mathematics. His research focuses on Mathematical Ecology and Epidemiology, with expertise in structured population models, computational methods, and parameter estimation. He has authored over 160 peer-reviewed articles and a graduate-level textbook. Education: Ph.D. (1993), M.S. (1990), and B.S. (1988) in Mathematics from the University of Tennessee-Knoxville, University of the Cumberlands. Research Interests: Development of deterministic/stochastic population models, age/size-structured populations, invasive species, phenotypic selection-mutation, epidemiological models. Tools include PDEs, difference equations, and Markov chain models. He has directed 18 Ph.D. students and secured over $9M in grants from NSF, NIH, and GoMRI. Awards: Rollie Lamberson Research Award (2019), Distinguished Professor (2007), and multiple summer research awards. His work integrates mathematical modeling with ecological and biomedical applications.

• Developmental Biology
• Systems Biology
• Cell Signaling
• +۵ مورد دیگر

Nate Lord, PhD, is an Assistant Professor at the University of Pittsburgh. He holds a PhD in Systems Biology from Harvard University. His research focuses on understanding the robustness of embryonic development, particularly how embryos maintain precise patterning and correct errors despite genetic and environmental challenges. Lord employs optogenetic manipulation, quantitative microscopy, computational modeling, and classical embryology to explore signaling dynamics and cell behavior across scales. His work bridges molecular mechanisms and tissue-level morphogenesis, aiming to uncover principles of developmental reliability. Education: PhD in Systems Biology, Harvard University Research Interests: Lord’s lab investigates how developing systems achieve robustness through multi-scale mechanisms. Key themes include Nodal signaling dynamics, optogenetic control of developmental processes, and stochastic regulation of cell fate decisions. By combining synthetic biology tools with quantitative analysis, his work addresses fundamental questions about error tolerance in embryogenesis, such as how signaling gradients stabilize patterns and how morphogenetic movements are coordinated despite perturbations. Publications: Recent work (2025–2013) highlights Lord’s focus on Nodal signaling pathways, optogenetic regulation of developmental processes, and stochastic mechanisms in microbial systems. His studies on human retinal organoids (e.g., DIO3’s role in photoreceptor development) demonstrate translational potential in modeling human tissue formation. Older studies (e.g., bacterial cell fate switching) reveal foundational insights into stochastic processes in cellular decision-making. Lab & Future Work: Lord’s lab integrates experimental and computational approaches to engineer synthetic systems that mimic developmental reliability. Ongoing projects aim to map feedback mechanisms that stabilize morphogen gradients and to design optogenetic tools for real-time embryonic signaling control.

Michela Fagioliniمشاهده پروفایل

پژوهشگر

• Neurodevelopmental Disorders
• Critical Period Plasticity
• Neuroscience
• +۷ مورد دیگر

Michela Fagiolini, PhD, is a researcher affiliated with Boston Children's Hospital and Harvard Medical School. She holds academic appointments in the Department of Neurology and the F.M. Kirby Neurobiology Center, focusing on neurodevelopmental disorders. Her work bridges molecular, electrophysiological, and behavioral analyses to study cortical plasticity mechanisms in conditions like Rett Syndrome and autism spectrum disorders (ASD). Education: She earned her M.S. in Biological Sciences from the University of Pisa, Italy, and her Ph.D. in Neurobiology from Scuola Normale Superiore, Italy. After a postdoctoral fellowship at UCSF under Dr. Michael P. Stryker, she joined the Laboratory for Neuronal Circuit Development at Japan's Brain Science Institute, collaborating with Dr. Takao K. Hensch. Research Interests: Dr. Fagiolini explores how sensory experiences shape early brain development and critical periods. Her lab investigates Excitatory/Inhibitory (E/I) circuit dysregulation in neurodevelopmental disorders, leveraging mouse models and human cerebral organoids. Recent studies emphasize therapeutic strategies to restore cortical function by targeting E/I circuit imbalances. She also develops novel biomarkers like fNIRS and transparent microelectrode arrays to assess neural deficits non-invasively. Publications Trends: Her work spans 30+ years, with recent focus on Rett Syndrome biomarkers, autism subtypes via fMRI, and CDKL5 deficiency mechanisms. Earlier contributions include foundational studies on NMDA receptor regulation, critical period plasticity in visual cortex, and the role of epigenetic factors in neurodevelopmental processes. Advising & Grants: While no formal advisees are listed, her research has been supported by grants exploring therapeutic interventions and biomarker development. She collaborates widely, including with the FANTOM consortium for large-scale transcriptomic studies. Labs & Teams: She leads projects within the Intellectual and Developmental Disabilities Research Center and F.M. Kirby Neurobiology Center, which integrate multidisciplinary approaches to neurodevelopmental disorder research.

• Software Testing
• Autonomous Systems
• Robotics

Rob Hierons is Professor and Chair in Testing at the University of Sheffield's School of Computer Science. His research develops automated testing techniques for software systems, focusing on model-based testing, distributed systems, and recently autonomous robotics. He aims to enhance software quality through efficient test generation from specifications and code. His work spans theoretical foundations and practical applications, including CSP-based testing models and diversity-based test optimization. Current interests include verification of robotic systems and causal testing frameworks. He has published extensively in software engineering venues and serves in editorial roles for major testing journals.

Satya Prakashمشاهده پروفایل

استاد

• DNA Replication
• DNA Repair
• Translesion Synthesis
• +۳ مورد دیگر

Satya Prakash, PhD, is a Professor in the Department of Biochemistry & Molecular Biology at the University of Texas Medical Branch (UTMB). He holds a BSc in Biology and Chemistry from Meerut College, an MVSC in Genetics from the Indian Veterinary Research Institute, and a PhD in Genetics from Washington University. His postdoctoral training was at the University of Chicago. Dr. Prakash's research focuses on DNA replication and repair mechanisms, particularly translesion synthesis (TLS) and their role in cancer. His work has been recognized with awards such as the Merit Award from NCI, the Distinguished Faculty Research Award, and Fellowships from AAAS and the American Academy of Microbiology. His research interests include understanding how TLS polymerases facilitate replication through DNA lesions, the interplay between DNA repair and cancer evolution, and mechanisms underlying genome instability. Key findings include the discovery of Pol η's role in XPV syndrome and the elucidation of TLS's role in preventing tumorigenesis. Current studies aim to target error-prone DNA repair pathways for cancer therapy. Dr. Prakash has an extensive publication record spanning DNA repair, TLS mechanisms, and cancer biology. His work bridges biochemical, genetic, and structural approaches to uncover fundamental biological processes and their clinical implications.

• Population Genetics
• Medical Genetics
• Statistical Genetics
• +۳ مورد دیگر

Alan Stark is an academic staff member at The University of Sydney, contributing to research in population genetics, statistical genetics, and genetic epidemiology. His work often intersects mathematical modeling with biological systems, particularly focusing on Hardy-Weinberg equilibrium, X-linked disorders, and rare heritable traits. He has published extensively in journals like Twin Research and Human Genetics and Genetics and Molecular Biology , collaborating with scholars such as Eugene Seneta on foundational genetic theories. His research addresses both theoretical and applied aspects of genetics, including mutation rates, disease prevalence modeling, and historical perspectives on genetic theories. Education details are not explicitly stated in the available text. His research interests span population structure analysis, random mating models, and the application of statistical methods to genetic problems. Recent studies include simulations of hemophilia B mutation rates and investigations into the X-linked analog of Hardy-Weinberg principles. Stark’s work also honors key figures in genetics like C. C. Li and E. M. Nicholls, contextualizing their contributions within modern genetic frameworks. No awards or current grants are listed in the profile. His research has implications for understanding genetic disorders such as neurofibromatosis, retinoblastoma, and microcephaly, leveraging interdisciplinary approaches between statistics and biology.

Holly Kennardمشاهده پروفایل

مدرس

• Morphophonology
• Breton Language
• Loanwords
• +۵ مورد دیگر

Dr Holly Kennard is a Departmental Lecturer in Phonetics and Phonology at the University of Oxford, with additional roles as Retained Lecturer at Pembroke College and affiliation with Somerville College through her British Academy Postdoctoral Fellowship. She holds dual academic affiliations within the Clarendon Institute and the Faculty of Linguistics, Philology & Phonetics. Teaching: Undergraduate Phonetics/Phonology, Graduate Phonology, Psycholinguistics, and Historical Linguistics Research: Focuses on Breton morphophonology, French loanword integration, language endangerment and revival impacts, bilingual stress perception, and intonation patterns Her current John Fell Fund-supported project investigates Breton intonation through speech recordings, analyzing generational differences in prosodic systems. Research interests also span broader topics in prosody, language contact phenomena, and syntactic typology. Scientific Recognition: Holder of British Academy Postdoctoral Fellowship Supervises doctoral theses and undergraduate projects in phonology and related fields. Active in multiple research groups including the Phonetics Lab, Language & Brain Lab, and Romance Linguistics Department. Collaborates with institutions like the University of Cambridge and Indiana University through co-authorships.

• Nucleic Acid Structures
• DNA Repair
• RNA-Protein Interactions
• +۳ مورد دیگر

Prof. Katrin Paeschke is a Professor at the Institute of Clinical Chemistry and Clinical Pharmacology within the Medical Faculty of the University of Bonn. Her research focuses on nucleic acid structures and their roles in cellular processes, including DNA repair, genome stability, and immune regulation. She leads the Paeschke Lab, which investigates G-quadruplex structures in DNA and RNA, their interactions with proteins, and implications for diseases such as cancer and autoimmune conditions. Notable contributions include studies on UV-induced DNA damage repair mechanisms involving ZRF1 and the role of G4 structures in viral biology and antiviral strategies. Her work bridges molecular mechanisms with translational applications in therapy development. Selected research interests include: Mechanisms of G-quadruplex formation and resolution Impact of nucleic acid secondary structures on genome integrity Interplay between DNA damage and immune responses Therapeutic targeting of G-quadruplex structures in cancer Publications highlight interdisciplinary approaches, combining biochemistry, cell biology, and genetics to address fundamental questions in nucleic acid biology. Collaborations span virology, immunology, and oncology, reflecting her transdisciplinary research in TRA-Matter at the University of Bonn.

Klemens J. Hertelمشاهده پروفایل

استاد

• Alternative Splicing
• RNA Processing
• Molecular Genetics
• +۳ مورد دیگر

Klemens J. Hertel is a Professor and Chair of the Department of Microbiology & Molecular Genetics at the University of California, Irvine School of Medicine. His research focuses on the molecular mechanisms of RNA splicing, particularly the regulation of alternative splicing events such as NAGNAG splicing and their implications in cancer and cellular processes. He has contributed extensively to understanding spliceosome dynamics, RNA processing, and the interplay between splicing and gene regulation. Key research areas include the influence of genetic and epigenetic factors on splicing efficiency, the role of RNA-binding proteins in splice site selection, and the impact of metabolic signals on alternative splicing. His work integrates biochemical assays, high-throughput sequencing, and computational modeling to uncover fundamental mechanisms in molecular genetics. Recent studies highlight his exploration of splicing defects in cancer progression, the regulatory networks governing spliceosome assembly, and the functional consequences of alternative polyadenylation. He has published over 50 peer-reviewed articles, with notable contributions to journals like Nucleic Acids Research and Molecular and Cellular Biology. Dr. Hertel’s grants include NIH funding (R01 GM062287, R21 CA149548) for projects on splicing regulation and cancer biology. His lab is at the forefront of developing in vitro splicing systems and tools for studying RNA processing. Mentorship of students and postdocs in molecular genetics and biochemistry underscores his commitment to training future scientists.

Matthew Wascherمشاهده پروفایل

استادیار

• Infectious Disease Modeling
• Interacting Particle Systems
• Phylogenetics
• +۳ مورد دیگر

Matthew Wascher is an Assistant Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University. He is affiliated with the College of Arts and Sciences and holds office locations at 2145 Adelbert Rd. and Sears 5th Floor. His research focuses on infectious disease modeling , interacting particle systems , phylogenetics , and mathematical biology , with applications to epidemiology, ecology, and evolutionary biology. His work spans theoretical and applied domains, including projections of pandemic impacts, freeze tolerance mechanisms in organisms, and statistical methods for disease transmission analysis. Notable contributions include frameworks for environmental pathogen surveillance and methods to correct biases in disease prevalence estimates. His research also addresses vaccination group dynamics and survival analysis in epidemics. Wascher’s articles highlight interdisciplinary approaches, combining mathematical modeling with biological systems to address challenges in public health, organismal physiology, and evolutionary genetics. Despite prolific output, no scientific awards or grants are explicitly mentioned in the provided materials. He currently advises no listed students but collaborates on projects involving university outbreaks, species tree inference, and integrative biochemical studies. His lab or team affiliations are not detailed here, though his work suggests involvement in collaborative networks focused on mathematical biology and infectious disease systems.