جست‌وجوی استاد و پژوهشگر

Onn Brandmanمشاهده پروفایل

دانشیار

• Cellular Stress Response
• Ribosome-associated Quality Control (RQC)
• Systems Biology
• +۹ مورد دیگر

Onn Brandman is an Associate Professor at Stanford University in the Department of Biochemistry and by courtesy in Chemical and Systems Biology. He investigates how cells sense and respond to stress, integrating single-cell analysis, mathematical modeling, genomics, structural studies, and in vitro assays. He is a member of Bio-X and the Stanford Cancer Institute. Ph.D. in Chemical and Systems Biology (2008), Stanford University M.S. in Computer Science (2000), Stanford University B.S. in Computer Science (1998), University of California, San Diego His research spans cellular stress response mechanisms, ribosome-associated quality control (RQC), nucleolar dynamics, and mitochondrial stress pathways. Key methods include computational modeling and high-throughput genetic screens like ReporterSeq. Recent work explores CAT tailing regulation, diffusive lensing in cytoplasmic compartmentalization, and ZNF598's role in tissue homeostasis. Publications emphasize proteotoxic stress, neurodegenerative disease models, and biophysical mechanisms in cancer therapies. Kathy Le Angel Madero Rincon Jacob Schwartz Eduardo Tassoni Tsuchida Ananya Vinayak

Vartan Kurtcuogluمشاهده پروفایل

استاد

• Biomedical Engineering
• Computational Modeling
• Cerebrospinal Fluid Dynamics
• +۷ مورد دیگر

Prof. Dr. Vartan Kurtcuoglu is a leading researcher at the University of Zurich , affiliated with both the Faculty of Medicine and Faculty of Science . His work at the Institute of Physiology combines computational modeling and experimental approaches to study fluid dynamics in human organ systems, particularly focusing on the brain-kidney-heart axis . Biomedical Engineering Neurofluid Dynamics Medical Imaging (MRI, Synchrotron Tomography) Intracranial Pressure Monitoring Recent publications highlight his contributions to synchrotron-based neuroimaging , CSF pressure dynamics , and data-intensive biomedical workflows . His team develops novel methods for terabyte-scale brain imaging, non-invasive ICP monitoring, and data organization using Git/Quarto frameworks. Technical Innovations : Design of polymeric contrast agents Reduced-order flow modeling 3D particle tracking velocimetry Non-invasive compliance biomarkers

• Operations Research
• Optimization
• Healthcare Operations
• +۳ مورد دیگر

Farbod Farhadi is a researcher at Roger Williams University , affiliated with the School of Business . His work bridges operations research, optimization, and healthcare logistics, with a focus on solving complex scheduling problems in clinical and industrial settings. His research spans multiple domains: Healthcare operations (hemodialysis center scheduling) Lean manufacturing (U-shaped cells, human factors) Air traffic scheduling (branch-and-price algorithms) Metaheuristics for runway and facility location problems Recent publications emphasize exact optimization models, predictive analysis, and practitioner-oriented solutions for technician cost reduction.

Frederick R. Adlerمشاهده پروفایل

استاد

• Mathematical Biology
• Viral Epidemiology
• Evolutionary Ecology
• +۴ مورد دیگر

Frederick R. Adler is Professor of Biology and Mathematics at the University of Utah, where he serves as Director of the School of Biological Sciences. With a Ph.D. from Cornell University, he maintains a joint appointment bridging mathematical theory with empirical biological research. His work spans multiple scales from cellular processes to ecosystem dynamics, focusing on extracting simplicity from complex biological systems. Dr. Adler's research encompasses several interconnected domains: Viral epidemiology (rhinoviruses, SARS-CoV-2, influenza) Cancer systems biology and evolutionary ecology Cystic fibrosis progression modeling Ant behavioral ecology and social insect dynamics Urban ecosystems and biodiversity theory His approach consistently applies mathematical frameworks to understand the intersections of ecology, evolution, and immunology. Recent work shows increasing integration of clinical data with theoretical models, particularly in cancer and cystic fibrosis research. His publications reveal a trajectory toward multi-scale models connecting cellular, individual, and population-level dynamics. Dr. Adler mentors numerous graduate students across diverse projects including: Eric Sodja (parasite aggregation dynamics) Zoe Plzak (Darwin's finches and parasitic flies) Jiyeon Park (cancer-immune interactions) Montana Ferita (natural killer cell dynamics) Brendan O'Fallon (cystic fibrosis) The Adler Lab operates on the principle that 'we neither fear complexity nor embrace it for its own sake, but rather face it with the faith that simplicity and understanding are within reach.' This philosophy drives their collaborative research connecting mathematical theory with empirical biological investigation.

Ádám Kunمشاهده پروفایل

دانشیار

• Evolution of cooperation
• Origin of life
• RNA world
• +۶ مورد دیگر

Ádám Kun is a Senior Research Fellow at the Centre for Ecological Research in Tihany, Hungary, and a Research Associate Professor at the MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group at Eötvös Loránd University in Budapest, Hungary. He holds both positions on a part-time basis, reflecting his active engagement in multiple research institutions across Europe while maintaining his primary academic affiliation. Ph.D. in Evolutionary Biology and Ecology from Eötvös Loránd University (2003, summa cum laude) M.Sc. in Chemistry (2004) and Biology (2000) with thesis work on RNA world modeling and clonal plant systems B.Sc. in Computer Science (1996) providing foundational computational skills for his research Dr. Kun's research spans theoretical ecology, molecular evolution, and spatial modeling, with particular expertise in clonal plant systems and prebiotic evolution. His work integrates mathematical modeling with empirical ecological research to address fundamental questions about how organisms adapt to heterogeneous environments. He has made significant contributions to understanding the error threshold concept in prebiotic systems and the ecological consequences of clonal integration in plants. His publication record includes 30 international scientific papers with a cumulative impact factor of 140.553 and 530 independent citations. His research has been influential across multiple domains, particularly in theoretical ecology where his spatial models of clonal plant behavior have provided important insights into plant adaptation strategies. He has also authored a university textbook on evolutionary biology and co-authored one on ecology, in addition to writing 4 popular science papers. János Bolyai Research Fellowship (2012-2015) Multiple fellowships at Collegium Budapest and IIASA Organizer of international conferences including SysChem 2017 and the 4th International Conference on Code Biology Dr. Kun teaches advanced courses in Evolutionary Biology, General Ecology, Biostatistics, and Computational Methods for Biologists, emphasizing the integration of theoretical concepts with practical computational approaches. His teaching reflects his interdisciplinary background and commitment to training the next generation of theoretically-informed ecologists.

Amy Herrمشاهده پروفایل

استاد

• microfluidics
• bioanalytical separations
• diagnostics
• +۷ مورد دیگر

Amy Herr is the John D. & Catherine T. MacArthur Professor in the Department of Bioengineering at the University of California, Berkeley. She leads the Herr Lab, affiliated with the Biological Systems & Engineering Division at Lawrence Berkeley National Laboratory, the Chan Zuckerberg Biohub, QB3, and the Jacobs Institute of Design Innovation. Research Interests: The Herr Lab focuses on engineering tools for single-cell and sub-cellular analysis, combining bioengineering, chemical engineering, and analytical chemistry to address challenges in clinical diagnostics, proteomics, and bioanalytical separations. Their work emphasizes scale-dependent physics, "mathematization" of biology, and AI-driven biomedical innovation. Scientific Awards: Visionary of the Year award (Berkeley Chamber of Commerce) National Academy of Inventors Fellow Grants & Collaborations: Herr is a Chan Zuckerberg Biohub Investigator, receiving unrestricted funding for biomedical research. She co-leads the Bakar BioEnginuity Hub, a campus-wide initiative for STEM entrepreneurship, and contributes to N95Decon research consortium on mask decontamination.

Jonas Paulsenمشاهده پروفایل

استاد

• 3D Genome Organization
• Computational Genomics
• Bioinformatics
• +۵ مورد دیگر

Jonas Paulsen is a Professor in the Department of Biosciences at the University of Oslo, Faculty of Mathematics and Natural Sciences. He leads the Paulsen group, established in early 2020, which is affiliated with the Centre for Bioinformatics and the Section for Genetics and Evolutionary Biology. His research focuses on the three-dimensional organization of DNA within the cell nucleus and its relationship to critical cellular functions including epigenetic regulation of gene expression. Paulsen's research interests center on computational 3D genomics, with an emphasis on understanding how nuclear architecture relates to cellular functions. His work involves developing computational tools and bioinformatics software to explore comparative 3D genomics across cell types, tissues, and species. The Paulsen group utilizes the Hi-C technique as a central technology, building computational tools to analyze these and related data to increase understanding of eukaryotic genome organization. Key projects include Chrom3D (a genome 3D modeling platform), statistical models of genome contact frequency maps, and research on genome domains and their functional and evolutionary basis. His publication record shows consistent output in top computational biology and genomics journals, with a clear trend toward increasingly sophisticated modeling of 3D genome organization. His work spans multiple subfields including chromatin architecture, computational modeling, bioinformatics tool development, epigenetics, and the relationship between genome architecture and disease processes like cancer. The research demonstrates strong interdisciplinary collaboration, particularly with Philippe Collas and other computational biologists. Paulsen teaches Bioinformatics (BIOS3010) and Bioinformatics for Molecular Biology (MBV-INF4410), continuing his commitment to training the next generation of computational biologists. His group's work has significant implications for understanding fundamental biological processes and disease mechanisms through the lens of spatial genome organization.

• Bioinformatics
• Scientific Workflows
• Biomedical Natural Language Processing
• +۳ مورد دیگر

Prof. Dr. Ulf Leser serves as Professor and Deputy Director at the Institute of Computer Science within Humboldt University of Berlin's Faculty of Mathematics and Natural Sciences. His work bridges computer science and life sciences through bioinformatics and knowledge management systems, with significant contributions to scientific workflow optimization and biomedical text mining. His research spans multiple high-impact areas: Bioinformatics and precision oncology tool development (e.g., OncoTagger for cancer gene curation) Scientific workflow systems with focus on carbon-aware execution and energy efficiency Biomedical natural language processing for relation extraction and knowledge base curation Advanced time series analysis methods (e.g., ClaSP for segmentation) Environmental monitoring through satellite data analysis He actively develops infrastructure for reproducible scientific computing while addressing sustainability challenges in HPC environments. Recent publications (2023-2026) reveal three dominant trends: (1) Integration of explainable AI in healthcare assessment systems, (2) Sustainable computing approaches for scientific workflows including carbon-aware scheduling, and (3) Advancement of biomedical text mining through knowledge-augmented language models. His work consistently targets real-world applications in precision medicine and environmental science. Prof. Leser currently supervises students including Michael Piechotta (Diplom in Bioinformatics, defense scheduled September 2025). As Deputy Director and Faculty Council member, he shapes institutional research strategy while leading projects at the intersection of computer science and life sciences. His group maintains active collaborations with biomedical research institutions and contributes to community standards in scientific workflow systems.

• Cell Biology
• Biophysics
• Molecular Biology
• +۳ مورد دیگر

Andrew Kennard is a Postdoctoral Researcher in the Department of Biology at the University of Massachusetts Amherst. His work bridges experimental and computational approaches to investigate fundamental biological processes. His research focuses on: Cellular mechanics and wound healing dynamics Cytoskeletal evolution and microtubule regulation Biophysical modeling of cellular processes Electrophysiological responses to injury Developmental biology using zebrafish models Computational analysis of growth-division laws Recent publications highlight his expertise in integrating molecular biology with physical modeling, particularly in cytoskeletal dynamics and injury response mechanisms. Dr. Kennard also contributes to science education initiatives at the high school level. Contact: akennard@umass.edu

Christoph Schmalمشاهده پروفایل

پژوهشگر

• Circadian Rhythms
• Biological Clocks
• Computational Biology
• +۲ مورد دیگر

Dr. Christoph Schmal is a Principal Investigator at the Institute for Theoretical Biology, Humboldt University of Berlin. His research integrates bioinformatics, mathematical modeling, and computational simulations to investigate biological rhythms, focusing on circadian clock mechanisms, entrainment, and oscillator networks. Education: PhD in Physics (summa cum laude), Bielefeld University Current Position: Principal Investigator, Institute for Theoretical Biology, Berlin Research interests include design principles of intracellular rhythm generation, coupling mechanisms in biological clocks, and applications of nonlinear dynamics to circadian systems. His work spans computational biology, systems biology, and interdisciplinary approaches to biological timekeeping. Recent publications highlight his theoretical and data-driven studies on circadian amplitude-period relationships, redox rhythm robustness, and clock gene regulation in mammals and plants. He develops analytical tools like pyBOAT for biological time series. Scientific Awards DFG Sachbeihilfe grants (2022, 2018) JSPS BRIDGE (2020) and Postdoctoral Fellowships (2017) Joachim Herz Stiftung Add-On Fellowship (2015) Teaching activities include courses on Functional Genomics and Mathematical Modeling in Quantitative Biology. He works within the Institute for Theoretical Biology, leveraging spatial statistics and dynamical systems theory.

Alain Garnierمشاهده پروفایل

استاد

• Biocatalysis
• Fermentation Biotechnology
• Industrial Biotechnologies
• +۷ مورد دیگر

Alain Garnier is a Full Professor in the Department of Chemical Engineering at Laval University, affiliated with the Faculty of Science and Engineering. He leads research in biocatalysis, fermentation biotechnology, and industrial bioprocesses through labs like the Bioprocess Optimization Laboratory (BOL) and PROTEO Research Center. His work bridges academic and industrial applications, focusing on sustainable biomanufacturing and cell therapy development. Education: Ph.D. in Chemical Engineering (Polytechnique Montréal, 1992). Awards include multiple Teaching Star recognitions from Laval University's Faculty of Science and Engineering (2005, 2012-2014, 2017). Research Interests: Innovates in enzyme technology, bioconversion processes, and CO₂ capture systems. Develops serum-free culture media for cell therapies and advanced bioreactor designs. Active in vaccine production, particularly using vesicular stomatitis virus (VSV) vectors. Recent Research Trends: Articles emphasize biocatalyst optimization (e.g., P450BM3 enzymes), CO₂ sequestration via immobilized enzymes, and scalable viral vector manufacturing. Highlights include green flotation processes using bioactive peptides and CRISPR delivery systems for hard-to-transfect cells. Awards: Teaching excellence awards (2005, 2012-2017). Advising & Grants: Supervised 10+ graduate students in chemical engineering. Leads funded projects including C$2.5M+ programs for biologics production under pandemic conditions and Quebec's Protein Research strategic network. Recent grants focus on carbon capture bioreactors and cell therapy technologies. Labs/Teams: Directs PROTEO-ULaval (protein research hub) and collaborates with networks like STEMCELLNET (Canadian Stem Cell Network) and Cell and Tissue Therapy Network (ThéCell).

Andrew Charles Oatesمشاهده پروفایل

استاد

• Developmental Biology
• Embryology
• Genetic Oscillators
• +۷ مورد دیگر

Andrew Charles Oates is a Full Professor and Dean of the School of Life Sciences (SV) at EPFL. He leads the Timing, Oscillation, Patterns Laboratory, which studies genetic oscillators in vertebrate embryos, particularly the segmentation clock driving somite formation in zebrafish. His research integrates molecular genetics, quantitative imaging, and theoretical modeling to understand spatiotemporal pattern formation. Education: BSc (Honours) in Biochemistry from the University of Adelaide, PhD in Molecular Biology from the Ludwig Institute for Cancer Research and University of Melbourne. Postdoctoral work at Princeton University, University of Chicago, and the Max Planck Institute for Molecular Cell Biology and Genetics. Previously held positions at University College London and the Francis Crick Institute before joining EPFL in 2016. Roles: Dean of SV School, Director of the Institute of Bioengineering (2018–2021), President of the SV School Council, and member of the EPFL Academic Strategic Committee. Teaches courses in cell and developmental biology for engineers at EPFL. Research Interests: Segmentation clock dynamics, genetic oscillators, embryonic timing mechanisms, morphogenesis, and the interplay between genetics and biophysics in developmental processes. Current funding includes a Swiss National Science Foundation project on heat-shock effects in segmentation. Lab Team: Includes scientists, engineers, and biologists such as Feyza Arslan, Lucas Firouzi, and Laurel Rohde. Collaborations with institutions like UC Berkeley, Max Planck Institute Dresden, and the Francis Crick Institute.

Andrés I. Ávilaمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Numerical methods for PDEs
• High Performance Computing
• +۱ مورد دیگر

Andrés I. Ávila is an Associate Professor in the Department of Mathematical Engineering at the University of La Frontera, Chile. He holds a Ph.D. in Mathematics (1999) and a postdoctoral fellowship (1999) from the University of Missouri. His research focuses on Partial Differential Equations , Numerical Methods for PDEs , High Performance Computing , and Mathematical Modeling . Education Ph.D. in Mathematics (1999), University of Missouri Postdoctoral Fellow (1999–2000), Universidade Estadual de Campinas His work spans nonlinear PDEs (e.g., Schrödinger systems, combustion theory), high-performance computing (Xeon Phi coprocessors, agent-based models), and environmental modeling (floods, wildfires, crop optimization). Articles highlight interdisciplinary applications in physics, biology, and engineering. He has supervised 8 Master’s and 2 Ph.D. students, advised national projects (e.g., Corfo Innovation , Fondef grants), and co-led the National Laboratory for High-Performance Computing (EMC-02) . Collaborations include institutions in Germany, Brazil, and France.

Patrice Tankamمشاهده پروفایل

دانشیار

• Corneal Imaging
• Biomedical Optics
• Optical Metrology
• +۵ مورد دیگر

Dr. Patrice Tankam is an Associate Professor at the Indiana University School of Optometry, specializing in biomedical optics and corneal imaging. He holds a Ph.D. in Optical Sciences from Université du Maine, France, and has conducted postdoctoral research at Institut d’Optique Rhone-Alpes and the University of Rochester's Institute of Optics. His work focuses on developing advanced optical techniques like optical coherence tomography (OCT) and microscopy for corneal disease diagnosis and ophthalmic applications. Educations: Bachelor in Mathematics & Physics (2004) - University of Yaoundé I, Cameroon M.S. in Optical Engineering (2007) - Université du Maine, France Ph.D. in Optical Sciences (2010) - Université du Maine, France Research Interests: Corneal imaging, optical metrology, interferometry, light-tissue interaction, OCT advancements, and fluorescence microscopy. His work bridges optical engineering with clinical ophthalmology to improve diagnostic tools for corneal diseases and ocular surface analysis. Articles & Contributions: His recent work explores polarization effects in OCT (2024), non-invasive corneal imaging (2023), and high-speed multimodal microscopy systems (2022). These studies advance cellular-resolution imaging for corneal disease pathways and clinical applications. Awards & Memberships: Active member of The Optical Society (OSA) and Association for Research in Vision and Ophthalmology (ARVO). Serves as a reviewer for journals like Optics Letters and Biomedical Optics Express. Labs & Teams: Leads the Tankam Lab at Indiana University, focusing on optical instrumentation and corneal disease imaging. Collaborates on projects involving MEMS-based probes and Gabor-domain OCT systems.

• Statistics
• Mathematics
• Probability Theory
• +۳ مورد دیگر

Al F. Ulam is an Instructor in the Statistics department, active since 2011. His interdisciplinary work spans mathematics, statistics, medicine, and materials science, as evidenced by publications in journals like Acta Mathematica, Journal of the American Statistical Association, and New England Journal of Medicine. His research interests focus on statistical methodologies with applications across multiple scientific domains. Dr. Ulam's work demonstrates strong connections between theoretical mathematics and practical applications in biology, medicine, and environmental science. His publications show consistent output over decades, with significant contributions in 2010-2017. His recent publications reveal a trend toward interdisciplinary research, particularly at the intersection of statistics with biological sciences and materials engineering. The work spans theoretical mathematics, ecological modeling, medical research, and advanced materials analysis, demonstrating remarkable breadth across scientific disciplines. Dr. Ulam maintains an active scholarly presence with publications in high-impact journals across multiple fields. His collaborative network extends across various departments and research areas, reflecting the interdisciplinary nature of his work.