جست‌وجوی استاد و پژوهشگر

Leslie Satinمشاهده پروفایل

استاد

• Pancreatic islet biology
• Beta cell physiology
• Stimulus-secretion coupling
• +۷ مورد دیگر

Leslie Satin is a Professor of Pharmacology and Internal Medicine at the University of Michigan Medical School. He serves as the Joanne I. Moore Endowed Research Professor and is affiliated with the Brehm Diabetes Research Center, Caswell Diabetes Institute, and MEND program in Internal Medicine. His research focuses on pancreatic islet biology and beta cell physiology. Research interests include: Beta cell stimulus-secretion coupling Calcium signaling in organelles and cytosol Oscillations in biological systems Mathematical modeling of cellular processes Genetically encoded sensors for live cell imaging Recent publications highlight his work on glucose-mediated insulin secretion dynamics, KATP channel regulation, and endoplasmic reticulum homeostasis in beta cells. His scientific awards include prestigious fellowships and endowed professorships. Scientific awards: Joanne I. Moore Endowed Research Professor Investigator at Brehm Diabetes Research Center Investigator at Caswell Diabetes Institute VA Medical Center fellowship SUNY Stony Brook postdoctoral fellowship Leslie Satin is available to mentor students and maintains an active research program focused on diabetes-related cellular mechanisms.

Patricia Wittkoppمشاهده پروفایل

استاد

• Evolutionary Biology
• Molecular Genetics
• Gene Regulation
• +۴ مورد دیگر

Patricia Wittkopp is a Professor at the University of Michigan's College of Literature, Science, and the Arts, with dual appointments in Ecology & Evolutionary Biology and Molecular, Cellular & Developmental Biology. Her research focuses on understanding genetic and molecular mechanisms underlying phenotypic differences within and between species, particularly through gene expression regulation. Education: University of Michigan (undergraduate), University of Wisconsin-Madison (PhD), Cornell University (postdoc) Research Areas: Transcriptional regulation, cis/trans-regulatory evolution, gene network divergence, and evolutionary processes Her lab combines molecular biology, developmental genetics, and computational approaches to study Drosophila and Saccharomyces cerevisiae. Recent work explores mutation-selection dynamics, chromatin accessibility, and microRNA-driven adaptations across species. Scientific Awards: Arthur F. Thurnau Professor Sally L. Allen Collegiate Professor

Isabella Cattadoriمشاهده پروفایل

استاد

• Immuno-epidemiology
• Co-infection Dynamics
• Host-Parasite Interactions
• +۷ مورد دیگر

Isabella Cattadori is a Professor of Biology at Penn State University, affiliated with the Huck Institutes of the Life Sciences (Center for Infectious Disease Dynamics, Ecology, and Molecular, Cellular, and Integrative Biosciences programs). Her research focuses on immuno-epidemiology of co-infections, specifically how host immunity modulates parasite interactions and transmission, and how molecular host processes influence population-level infection dynamics. Research Interests: Co-infection dynamics, climate change impacts on parasitic infections, vector biology, microbiome interactions, and mathematical modeling of host-parasite systems. Scientific Contributions: Key publications include theoretical and empirical studies on myxoma virus evolution, helminth transmission under climate change, PPRV epidemiology, and immune-mediated parasite facilitation. Collaborations: Works with interdisciplinary teams across ecology, microbiology, and computational biology, particularly in East African and Australian disease systems.

• Wireless Communications
• Information Theory
• Quantum Communications
• +۳ مورد دیگر

Mahdi Bayanifar serves as a Postdoctoral Researcher in the Department of Information and Communications Engineering at Aalto University, Finland, operating within the Communications Theory research group. His work bridges theoretical and applied communications engineering with emerging quantum information systems. His research focuses on Wireless Communications, Information Theory, and Quantum Communications, with significant contributions to non-coherent signal processing using binary chirps, quantum error correction for repeaters, and RIS-enhanced mmWave networks. Recent work integrates classical random access protocols with quantum communication frameworks to address scalability challenges in next-generation networks. Analysis of his 2022-2025 publications reveals a strategic pivot toward quantum-classical hybrid systems, particularly in quantum repeater architectures and error correction, while maintaining strong contributions to 5G/6G wireless protocols through unsourced random access and chirp-based non-coherent communications. Scientific Awards: No awards, fellowships, or medals are documented in the provided materials. Advising and Grants: No information regarding student supervision, grant funding, or collaborative projects is available in the source text. Labs and Teams: He actively participates in Aalto University's Communications Theory research group, which specializes in mathematical modeling of communication systems, quantum information theory, and advanced wireless protocol design.

Sarah Kostinskiمشاهده پروفایل

استادیار

• Theoretical Physics
• Soft Condensed Matter Physics
• Biological Physics
• +۳ مورد دیگر

Sarah Kostinski is an Assistant Professor in the Department of Physics at New York University, specializing in theoretical soft condensed matter and biological physics. Education : B.S. in Physics and Music from University of Michigan–Ann Arbor; Ph.D. in Physics from Harvard University. Previous Appointments : Postdoctoral researcher at Tel Aviv University and Kavli Institute for Theoretical Physics, UC Santa Barbara. Her research explores the intersection of theoretical physics and biology, focusing on: Quantitative relationships between molecular composition and growth rates in unicellular organisms like E. coli and S. cerevisiae . Theoretical frameworks for intracellular kinetics and non-equilibrium systems. Applications of stochastic processes and random walks to cellular dynamics. Soft matter physics and its implications for biological systems. Computational modeling of biophysical phenomena. Statistical mechanics approaches to cellular optimization. Her recent publications highlight trends in theoretical physics, with a focus on stochastic dynamics, computational biology, and soft matter systems. She is affiliated with NYU's Center for Soft Matter Research , contributing to interdisciplinary studies of biological and soft condensed matter physics.

• Biosensors
• Synthetic Biology
• Bioinformatics
• +۶ مورد دیگر

Kaustubh Bhalerao is an Adjunct Associate Professor in the Department of Agricultural and Biological Engineering at the University of Illinois at Urbana-Champaign. His work bridges engineering, biology, and computation with applications in agricultural systems and microbiome analysis. Current Position: Adjunct Associate Professor, Agricultural and Biological Engineering, University of Illinois (since 2011) Prior Position: Assistant Professor, Agricultural and Biological Engineering, University of Illinois (2005-2011) Education: Postdoctoral Associate, Ohio State University (2004-2005) Research Interests: Biosensors , Synthetic Biology , and Nanotechnology applied to agricultural challenges. He develops computational models for microbial systems and explores virus-based biocontrol strategies. Recent publications highlight his work in Environmental Biotechnology (antibiotic impacts on biogas systems), Biomedical Engineering (mastitis diagnostics), and Synthetic Biology (gene circuit amplifiers). His lab employs machine learning and flow cytometry for microbiome analysis. Teaching includes courses on biological nanoengineering (ABE 446) and agricultural principles (ABE 141).

• Mathematical Biology
• Computational Biology
• Biophysics
• +۴ مورد دیگر

Brittany Bannish Laverty is a Professor at the University of Central Oklahoma in the Department of Mathematics & Statistics . She specializes in interdisciplinary research combining mathematical modeling with biomedical applications. Ph.D., Mathematics, University of Utah, 2012 M.S., Mathematics, University of Utah, 2008 B.A., Mathematics and History, Mount Holyoke College, 2006 Her research focuses on: Mathematical modeling of fibrinolysis and thrombus formation Computational analysis of actin polymer dynamics Nonlinear dynamics in biological systems Development of multiscale models for biomedical processes Application of stochastic modeling to cellular mechanics Quantitative analysis of blood clot degradation Recent publications emphasize: Biomechanical interactions in fibrin networks Computational methods for studying clot lysis Mathematical frameworks for actin network analysis Validation of multiscale biological models Impact of microstructural properties on thrombosis Integration of experimental and theoretical approaches Her teaching portfolio includes advanced mathematics courses such as: Calculus series (I-IV) Differential Equations History of Mathematics Nonlinear Dynamics and Chaos Partial Differential Equations

• Cell and tissue biomechanics
• Developmental biomechanics
• Optical coherence tomography
• +۲ مورد دیگر

Gang Xu serves as Interim Associate Dean of the College of Mathematics and Science and Professor in the School of Engineering at the University of Central Oklahoma. He joined UCO in 2012 as Assistant Professor, progressing to Associate Professor (2017) and Professor (2022), while holding administrative roles including Assistant Director of the School of Engineering and Interim Assistant Dean positions. His educational background includes: D.Sc. (2006) and M.S. (2004) in Biomedical Engineering from Washington University in St. Louis B.S. (1998) in Mechanics and M.S. (2001) in Fluid Mechanics from Fudan University, China Dr. Xu's research centers on biomechanics with emphasis on cell/tissue mechanics, developmental processes, and advanced imaging techniques. His work integrates optical coherence tomography, micropipette aspiration, and computational fluid dynamics to investigate mechanical forces in embryonic morphogenesis, cardiac development, and neural tube formation. Key contributions include quantifying tissue mechanics in chick embryos and modeling cortical folding mechanisms. Analysis of his 15 publications (2004-2019) reveals persistent focus on mechanical drivers of biological form, spanning cardiac looping, brain morphogenesis, and fibroblast-collagen interactions. His methodology consistently combines experimental biomechanics with computational modeling, demonstrating evolution from cellular-scale techniques to organ-level morphogenetic analysis. His honors include: Vanderford Distinguished Teacher Award (2023) Faculty Merit Credit Awards for Research (2015, 2017) Herbert S. Dordick Outstanding Mentor Award (2014) College of Math and Science Outstanding Spirit Award (2016) Dr. Xu teaches core engineering courses including Biomechanics, Fluid Mechanics, and Biomedical Engineering labs. His visiting faculty roles at Lawrence Berkeley National Laboratory (2019-2024) indicate active collaboration in computational science, though specific grants aren't detailed. His lab work likely involves optical imaging and mechanical testing setups supporting his tissue mechanics research.

Miklós Abértمشاهده پروفایل

استاد

• Measured group theory
• Asymptotic group theory
• Spectral theory of graphs and groups
• +۷ مورد دیگر

Miklós Abért is a Professor at the MTA Alfréd Rényi Institute of Mathematics. His research focuses on measured and asymptotic group theory, with specific interests in spectral theory of graphs and groups, Benjamini-Schramm convergence, invariant random subgroups, homology growth, sofic entropy, and cellular automata. He leads the ERC Consolidator Grant research group "Asymptotic invariants of discrete groups, sparse graphs and locally symmetric spaces" (2015–present). Award of the Academy (2023) Rényi Prize (2017) János Bolyai Research Fellowship (2011) Erdős Pál Prize (2010) Grünwald Géza Memorial Medal (2003) His recent work explores the interplay between physical network structures, stochastic processes, and group-theoretic invariants, with applications to spectral radius analysis, torsion growth, and unimodular random trees. He has organized major conferences on measured group theory and collaborated extensively with leading mathematicians.

• Mathematical Modeling
• Statistics
• Data Analysis
• +۵ مورد دیگر

Yerly Florence is an Associate Professor at the Fribourg School of Engineering and Architecture , affiliated with the ChemTech Institute . Her work bridges mathematical modeling , statistics , and data analysis across diverse domains including plant biology, systems biology, and computational methods. Education : PhD in Systems Biology (2015, University of Fribourg) Her research focuses on quantitative plant growth analysis (e.g., auxin transport modeling in Arabidopsis hypocotyls), machine learning applications (e.g., melting point prediction for ionic liquids), and interdisciplinary projects like Beyond Bézier , which reimagines digital typography through mathematical and robotic approaches. She contributes to both academic and professional publications, emphasizing computational tools and biophysical insights. The Beyond Bézier project (2023–2025), funded by the Réseau de Compétences Design et Arts Visuels , exemplifies her innovative spirit, combining mathematics, robotics, and design. Her publications span topics from gene transfer mechanisms to computational biology, reflecting her interdisciplinary expertise.

• Microbiology
• Applied Microbiology
• Microbial Biotechnology
• +۳ مورد دیگر

George Aggelis is a Professor at the Department of Biology , University of Patras, Greece. His research focuses on microbial lipid biotechnology, bioconversion of waste materials, and oleaginous microorganisms. Academic Rank: Professor Department: Cell & Developmental Biology Contact: George.Aggelis@upatras.gr Research Interests Lipid metabolism in oleaginous microorganisms Biotechnological applications of microbial oils Environmental valorization of agroindustrial waste Polyunsaturated fatty acid (PUFA) production Mathematical modeling of microbial metabolic pathways Sustainable bioprocesses using aquaculture effluents Publications Trends Recent work emphasizes adaptive evolution of Yarrowia lipolytica for lipid overproduction Focus on bioconversion of lignocellulosic biomass and phenolic waste Applications in aquaculture feed and biofuel production Integration of metabolic modeling with experimental bioprocess optimization

• Mathematical Biology
• Computational Biology
• Stochastic Modeling
• +۱۲ مورد دیگر

Tomás Alarcón is an ICREA Research Professor at the Centre de Recerca Matemàtica (CRM) in Barcelona, Spain. He leads the Cancer Modeling Group and serves as Deputy Director of CRM since 2016. His work bridges mathematical biology, computational modeling, and biomedical applications. PhD in Theoretical Physics from the University of Barcelona (2000) Postdoctoral appointments at University of Oxford, University College London, and Imperial College London ICREA Research Professorship at CRM (2015–present) Research Interests: Dr. Alarcón specializes in multiscale modeling of tumor growth, stochastic processes in cell reprogramming, hybrid simulation methods , and microfluidic biophysics . His work integrates mathematical frameworks with biological complexity across spatial and temporal scales. Article Trends: Recent publications focus on chromatin folding , epigenetic landscapes , and angiogenesis mechanisms . Key themes include metabolic-cancer interactions , stochastic bistability , and computational immunology . Collaborations span institutions like the University of Oxford, UCL, and Heidelberg University. Scientific Leadership: As Deputy Director of CRM and member of the Catalan Mathematical Society's Scientific Committee, he has shaped mathematical biology research agendas. His advisory role extends to 15+ PhD/MSc students , now active across global institutions.

Salil Gargمشاهده پروفایل

استادیار

• Non-genetic heterogeneity
• Stem cell biology
• Cancer biology
• +۷ مورد دیگر

Dr. Salil Garg is an Assistant Professor in the Department of Laboratory Medicine and Pathology at Yale School of Medicine. He leads the Garg Lab which moved to Yale University in fall 2022 after his postdoctoral fellowship with Phillip Sharp at MIT. His research focuses on understanding how cell systems with identical genetic material generate heterogeneity in development and cancer. Dr. Garg's educational background includes: BS/MS in Biochemistry/Chemistry, University of Chicago (2003) PhD in Immunology and MD from Harvard Medical School (2012) Clinical training in Laboratory Medicine and Molecular Genetic Pathology Postdoctoral fellowship at MIT His research explores how non-genetic changes arise naturally in cell populations, particularly in development and cancer. The Garg Lab investigates how small RNAs and other gene regulatory events contribute to non-genetic differences between cells, using approaches from RNA biology, cell biology, genomics, machine learning, and data science. They aim to apply this knowledge to build novel cancer diagnostics. Analysis of Dr. Garg's recent publications reveals a consistent focus on cellular heterogeneity mechanisms across developmental and cancer contexts. His work bridges stem cell biology with cancer diagnostics, increasingly incorporating machine learning approaches. Key themes include transcription factor networks, enhancer biology, microRNA regulation, and developmental deconvolution techniques for cancer classification. Scientific recognition includes: NIH High-Risk, High-Reward Award (2024) Dr. Garg actively mentors a diverse team of researchers including postdoctoral associates, MD-PhD students, PhD students, and undergraduate researchers. His lab has successfully placed alumni in prestigious positions at institutions including Memorial Sloan Kettering Cancer Center, Stanford University, and Bluebird Bio. Current research is supported by NIH funding and focuses on generative AI models for understanding heterogeneity, deconstructing tumor heterogeneity, and genomic encoding of cellular variation. The Garg Lab maintains active collaborations across Yale, including with the Center for RNA Science and Medicine, Computational Biology and Biomedical Informatics, Genomics, Genetics, and Epigenetics programs, and the Yale Cancer Center.

• Structural Biology
• Dairy Science
• Biophysics
• +۳ مورد دیگر

Dr. Carl Holt is an Honorary Senior Research Fellow at the School of Molecular Biosciences , University of Glasgow. His research focuses on structural biology, biophysics, and biochemistry, particularly in dairy science and protein-mineral interactions. Research Interests: Structural biology of casein micelles and milk stability Calcium phosphate nanoclusters and phosphoprotein function Protein aggregation mechanisms in biological fluids Biomimetic systems for biomineralization studies Role of intrinsically disordered proteins in evolutionary adaptation Collagen mineralization and extracellular matrix dynamics Scientific Trends: Analysis of 15 most recent publications reveals expertise in casein micelle modeling (2024), calcium phosphate sequestration (2020-2016), protein aggregation regulation (2018), osteopontin function (2017), and evolutionary transformations of milk proteins (2012-2022).

John Towerمشاهده پروفایل

استاد

• Aging
• Development Biology
• DNA replication
• +۹ مورد دیگر

John Tower is a Professor of Biological Sciences at the University of Southern California's Dornsife College of Letters, Arts and Sciences. His research focuses on the molecular genetics of aging in Drosophila melanogaster, with particular interest in gene expression changes during aging, oxidative stress responses, and sex-specific differences in aging processes. Dr. Tower received his Ph.D. in Biochemistry, Cellular and Molecular Biology from The Johns Hopkins University School of Medicine in 1988. He completed postdoctoral training at The Carnegie Institution of Washington, Department of Embryology in Baltimore from 1988 to 1991. His academic career at USC began in 1991 as an Assistant Professor, progressing to Associate Professor in 1999, and to his current position as Professor in 2010. Dr. Tower's research examines how gene expression changes during normal aging, with a focus on heat shock protein genes (Hsp22 and Hsp70), innate immune response genes, and mitochondrial function. His work has identified key roles for p53, sexual differentiation, and steroid hormones in regulating life span. He investigates how post-mitotic cells maintain function during aging and how stem cell populations are maintained in the ovary, with particular interest in the trade-offs between reproduction and longevity. His recent publications demonstrate a strong focus on the effects of mifepristone (RU486) on life span, the role of sex-specific hormones in aging, and the molecular mechanisms underlying sex differences in aging processes. His research often employs Drosophila melanogaster as a model organism to understand fundamental aging mechanisms that may be conserved across species. Dr. Tower's laboratory, the Tower Lab, develops and utilizes advanced techniques including transgenic reporter constructs, micro-array analyses, RNAseq, and 3D fluorescence video tracking to study aging processes in freely moving flies.