جست‌وجوی استاد و پژوهشگر

Vincent Tabard-Cossaمشاهده پروفایل

استاد

• Biophysics
• Nanopore Science
• Nanofluidics
• +۴ مورد دیگر

Dr. Vincent Tabard-Cossa is a Full Professor in the Department of Physics at the University of Ottawa and holds a University Research Chair in Nanoscale Biophysics and Nanopore Science. He is also cross-appointed with the Department of Chemistry and Biomolecular Sciences and serves as Vice-Dean Innovation & Strategic Partnerships in the Faculty of Science. His research focuses on developing novel techniques using solid-state nanopores for single-molecule analysis in biophysical systems, with applications in medical diagnostics, data storage, and biosensing. He co-founded Northern Nanopore Instruments (acquired by Oxford Nanopore Technologies) and has pioneered methods like controlled breakdown nanopore fabrication. Education: B.Sc. and Ph.D. in Physics from McGill University (2000, 2006), followed by postdoctoral work at UBC and Stanford University. Key honors include the CAP Industrial and Applied Physics Medal (2021), Royal Society of Canada membership (2019), and Ontario Early Researcher Award (2016). Research Interests: Experimental nanobiophysics, nanopore science, nanofluidics, single-molecule force spectroscopy, and interdisciplinary applications in engineering and chemistry. His lab emphasizes translating fundamental discoveries into practical tools, such as digital immunoassays and nanopore-based diagnostics. Publications highlight advancements in nanopore fabrication, DNA/protein translocation dynamics, and biomedical applications. Over 150+ students and researchers have been mentored, with active collaborations across academia and industry. The T.-Cossa Lab fosters a multidisciplinary environment, integrating physics, chemistry, and engineering to tackle complex problems in nanotechnology.

Robbert Kleerebezemمشاهده پروفایل

دانشیار

• Microbial Ecosystems
• Environmental Biotechnology
• Bioprocess Engineering
• +۳ مورد دیگر

Robbert Kleerebezem is an Associate Professor at Delft University of Technology's Faculty of Applied Sciences, Department of Biotechnology. His research focuses on microbial community engineering, particularly in anaerobic processes, bioremediation, and sustainable resource recovery. He leads projects like Unlock (syngas conversion) and FABULOUS (urban waste valorization). He teaches courses on environmental thermodynamics and microbial community engineering. His group develops bioprocesses for wastewater treatment and biopolymer production (e.g., PHA) from waste streams. Notable achievements include advancing understanding of microbial ecosystem dynamics and scaling-up PHA production. Collaborations with Wetsus and industry partners highlight applied research. Education: MSc Environmental Sciences from Wageningen University. Advised over 20 PhD students, with expertise in microbial ecology and process optimization. Active in teaching fermentation technology and environmental biotechnology at both BSc and MSc levels. His lab explores topics like anaerobic digestion, syntrophic associations, and biofilm engineering.

Niloofar Abdehaghمشاهده پروفایل

استاد مدعو

• Environmental Engineering
• Biofuel Production
• Anaerobic Digestion
• +۳ مورد دیگر

Niloofar Abdehagh is an Adjunct Professor at the University of Ottawa's Department of Civil Engineering within the Faculty of Engineering. She holds a Ph.D. in Chemical and Biological Engineering from the same institution. Her professional roles include serving as Vice President (R&D) at CH Four Biogas Inc. and a Research Participant at Agriculture and Agri-Food Canada's research branch. She has over 15 years of experience in biofuel production, environmental engineering, and anaerobic digestion technologies. Education: Ph.D. in Chemical and Biological Engineering, University of Ottawa (2016) MSc in Chemical Engineering, Polytechnic University of Technology – Tehran, Iran BSc in Chemical Engineering, Polytechnic University of Technology – Tehran, Iran Research Focus: Her work centers on advancing sustainable biogas production, anaerobic digestion optimization, nutrient recovery systems, and the conversion of organic waste into renewable energy. She specializes in ammonia removal strategies, lignocellulosic biomass pretreatment, and two-stage digestion processes. Professional Contributions: Leading R&D collaborations between industry, academia, and government, she has pioneered innovations in biogas system efficiency and biofuel separation techniques. Her research bridges theoretical modeling (e.g., ADM1jl Julia implementation) and industrial-scale applications. Labs/Teams: Engaged with interdisciplinary teams in bioprocess engineering, environmental biotechnology, and agricultural waste valorization. Partnerships include CH Four Biogas Inc., AAFC, and international academic institutions.

Marie-Odile Fortierمشاهده پروفایل

استادیار

• Sustainability
• Life Cycle Assessment (LCA)
• Renewable Energy Systems
• +۳ مورد دیگر

Marie-Odile Fortier is an Assistant Professor in the Department of Civil and Environmental Engineering and Construction at the University of Nevada, Las Vegas (UNLV). Her research focuses on sustainability, life cycle assessment (LCA), renewable energy systems, and environmental policy. She leads projects analyzing the carbon footprint of energy systems, bioenergy production, and geospatial impacts of renewable energy infrastructure. Dr. Fortier has received an NSF CAREER Award for her work on geospatial LCA of solar and ocean energy systems. Her research interests span decarbonization strategies, policy analysis, and sustainable technology development. Notable contributions include studies on energy transitions, biofuel lifecycle emissions, and geospatial carbon accounting for natural gas and solar projects. She emphasizes integrating economic feasibility and geographic factors into sustainability assessments. Dr. Fortier’s publications analyze diverse sectors including piezoelectric energy harvesting, soil remediation with ionic liquids, and stochastic modeling of bioenergy supply chains. She advocates for comprehensive climate action plans that account for full lifecycle emissions, challenging assumptions in carbon trading mechanisms and energy policy frameworks. Awards: NSF CAREER Award (2022) Key Projects: CAREER-funded solar/ocean energy LCA, biofuel production pathways in the Northeast US, and geospatial analysis of natural gas extraction impacts.

Dimitrios I Gerogiorgisمشاهده پروفایل

استاد

• Pharmaceutical Process Systems Engineering
• Biochemical Process Optimization
• Oil & Gas Systems Modelling
• +۷ مورد دیگر

Professor Dimitrios I Gerogiorgis holds the Personal Chair of Process Systems Engineering at the University of Edinburgh's School of Engineering (Institute for Materials & Processes). His research focuses on pharmaceutical manufacturing optimization, biochemical processes, oil & gas systems, and high-temperature materials processing. He has contributed to over 50 peer-reviewed publications, including seminal works on continuous pharmaceutical manufacturing (CPM), smart drilling fluids, and beer fermentation dynamics. Education: PhD/MSc in Chemical Engineering (Carnegie Mellon University) and Diplomas in Chemical Engineering (Aristotle University) and Translation (Institute of Linguists). Professional memberships include AIChE, IChemE, TMS, and ASEE. Research emphasizes multi-objective optimization, techno-economic analysis, and CFD modeling. Key projects include: (1) CPM cost-benefit analyses for ibuprofen/artemisinin, (2) nanoparticle-enhanced drilling fluid rheology, and (3) beer fermentation temperature manipulation simulations. His work bridges fundamental process modeling with industrial-scale implementation.

Juannan Zhouمشاهده پروفایل

استاد

• Quantitative Biology
• Evolutionary Biology
• Genotype-Phenotype Mapping
• +۳ مورد دیگر

Juannan Zhou is a Professor in the Department of Biology at the University of Florida , where they recently established their research lab. Their work focuses on genotype-phenotype mapping using machine learning , mathematical modeling , and wet lab experiments to understand evolutionary dynamics. Research Lab : Department of Biology, University of Florida Contact : juannanzhou@ufl.edu Key research themes include: Mapping genotype-phenotype relationships in diploid organisms Investigating protein fitness landscapes through unsupervised language models Developing machine-learning assisted directed evolution techniques Studying complex probability distributions over biological sequence spaces Exploring interactions between biochemical constraints and evolutionary outcomes Recent publications demonstrate technical innovations in: Gaussian process priors for sequence-function modeling Field-theoretic density estimation methods Higher-order epistasis analysis Nonparametric Bayesian approaches to biological sequence space Differentiable Smith-Waterman algorithms for sequence alignment The lab actively seeks postdocs, lab technicians, and graduate students interested in machine learning applications in population genetics and evolutionary modeling . Current projects include developing gpmap-tools for genotype-phenotype map visualization and implementing empirical variance component regression frameworks.

Daniel H. Cohnمشاهده پروفایل

استاد

• Genetic Skeletal Disorders
• Medical Genetics
• Molecular Biology
• +۳ مورد دیگر

Daniel H. Cohn is a Professor at the University of California Los Angeles (UCLA) in two departments: Molecular, Cell and Developmental Biology and Orthopaedic Surgery . His research focuses on the molecular mechanisms underlying genetic skeletal disorders, including osteogenesis imperfecta, chondrodysplasias, and ciliopathies. His work spans genetic mutation analysis , signaling pathway characterization , and translational studies using mouse models. Recent publications highlight his contributions to understanding FGF signaling , TGFβ/BMP modulation , and collagen biosynthesis in skeletal development. Scientific trends in his publications include genotype-phenotype correlations in skeletal dysplasias, exome sequencing applications , and therapeutic interventions for connective tissue disorders. Collaborations with international consortia like the University of Washington Center for Mendelian Genomics underscore his role in global genetic research efforts.

Abhishek Deshpandeمشاهده پروفایل

استادیار

• Dynamical systems
• Chemical reaction networks
• Biological Computation
• +۳ مورد دیگر

Dr. Abhishek Deshpande is an Assistant Professor at the Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad. His research bridges dynamical systems, chemical reaction networks, and biological computation, with emphasis on fundamental trade-offs in physical/biochemical systems. Previously, he completed his PhD at Imperial College London and served as a Van Vleck Visiting Assistant Professor at the University of Wisconsin-Madison. Research explores energy bounds in information processing and polynomial modeling of biological networks using algebraic geometry and matroid theory.

Xueyu Songمشاهده پروفایل

استاد

• Theoretical Chemistry
• Computational Chemistry
• Electron Transfer
• +۱۱ مورد دیگر

Xueyu Song is a Professor of Chemistry at Iowa State University, affiliated with the Ames Laboratory of the U.S. Department of Energy. Their research focuses on theoretical and computational tools for chemical reactions in chemical and biochemical systems. Ames Laboratory of the U.S. Department of Energy Department of Chemistry, Iowa State University Education: Postdoctoral Fellow, University of California, Berkeley (1995-1998) Ph.D., California Institute of Technology (1995) Research Interests: The group develops theories for electron transfer in solutions and inhomogeneous materials, solvent effects on chemical reactions, solvation dynamics in protein environments and ionic fluids, phase behaviors of metallic systems, nucleation kinetics, protein-protein interactions, and protein crystallization. Recent work integrates machine learning with supercooled liquids and extends the Debye-Hückel theory beyond dilute solutions. Sub-diffraction imaging using heterodyne and entangled photons is also studied. Recent Article Trends: Publications span 2019-2024, focusing on solvation dynamics in ionic fluids, nanodomain analysis via single-molecule tracking, machine learning for heterogeneities in supercooled liquids, extensions of Debye-Hückel theory, and phase behavior in metallic systems. Computational methods like density functional theory, molecular dynamics, and Bayesian inference are key tools. Contact: Email xsong@iastate.edu , Phone: 515-294-4383, Office: 303 Wilhelm, 2332 Pammel Dr, Ames, IA 50011-1025.

Ian Starkمشاهده پروفایل

مدرس ارشد

• Programming Languages
• Formal Semantics
• Process Calculi
• +۴ مورد دیگر

Ian Stark is a Senior Lecturer in Computer Science at the Laboratory for Foundations of Computer Science (LFCS) within the School of Informatics at the University of Edinburgh. His research focuses on mathematical models for programming languages and concurrent systems, particularly reasoning about name generation and secure mobile code. He also explores applications in systems biology using process calculi such as the π-calculus. Research Interests: Programming languages and formal semantics Process calculi (π-calculus, nu-calculus) Secure mobile code and proof-carrying code Systems biology and biochemical modeling Concurrency and resource management Projects: REMS: Rigorous Engineering for Mainstream Systems App Guarden: Resilient Application Stores CerCo: Certified Complexity Teaching: Current courses include Advances in Programming Languages and Informatics 1: Data & Analysis .

Magda Bienkoمشاهده پروفایل

دانشیار

• Genome organization
• 3D genome architecture
• Chromatin structure
• +۴ مورد دیگر

Magda Bienko is an Associate Professor at the Karolinska Institute and a Fellow of the Science for Life Laboratory in Stockholm, Sweden. She leads the Bienko Group, dedicated to the Quantitative Biology of the Nucleus. Her research focuses on understanding the spatial organization of the genome and its role in fundamental biological processes like DNA replication, transcription, and repair. She has pioneered methods such as BLISS, GPSeq, and iFISH to study genome architecture at single-cell resolution. Education: Bachelor's in Biotechnology, Jagiellonian University (2005) PhD in Biochemistry and Molecular Biology, Goethe University (2011) Research Interests: Chromatin structure, 3D genome architecture, DNA repair mechanisms, and their implications in cancer. Her interdisciplinary approach combines novel sequencing technologies, microscopy methods, and mathematical modeling to explore genome organization. Awards: ERC Starting Grant Advising and Grants: Supervises PhD student Mohit Virdi and has developed cutting-edge methodologies through her ERC-funded research. Her lab collaborates on open-access resources for genomic analysis. Labs/Teams: Leads the Bienko Group at HT (Human Technopole?), focusing on interdisciplinary research integrating quantitative and experimental biology.

• Hematology
• Genetics
• Erythroid Development
• +۳ مورد دیگر

Greg Myers is a Research Fellow at the University of Michigan’s Department of Physics, affiliated with the Randall Laboratory and Homer A. Neal Lab. He focuses on interdisciplinary research at the intersection of physics and biomedical science, particularly investigating molecular mechanisms of hemoglobin regulation, anemia pathogenesis, and erythroid differentiation. His work leverages CRISPR-based screening technologies, small molecule inhibitors, and cellular models to explore therapeutic strategies for genetic blood disorders. Contact him via gregmyer@umich.edu or visit his office at 450 Church Street, Ann Arbor, MI 48109-1040. His research interests include epigenetic regulation of γ-globin genes, metabolic pathways in erythropoiesis, and the role of protein complexes such as the SAGA complex in blood cell development. He employs advanced genomic and biochemical tools to uncover novel targets for diseases like sickle cell disease and Diamond-Blackfan anemia. Greg Myers has contributed to studies on LSD1 inhibitors, TR4/BCL11A transcriptional repression, and lipid metabolism defects in anemia. His findings highlight potential therapeutic avenues through epigenetic modulation and genetic intervention. No scientific awards are explicitly mentioned in the text. His advising involvement and grant details are not detailed in the provided text, though his research likely involves collaborations and funding from biomedical research institutions. The labs he is associated with specialize in both physics and applied biomedical research, fostering a unique environment for interdisciplinary studies.

Manu Prakashمشاهده پروفایل

دانشیار

• Bioengineering
• Biophysics
• Microfluidics
• +۷ مورد دیگر

Manu Prakash is an Associate Professor of Bioengineering at Stanford University, with a courtesy appointment in Oceans and Biology, and a Senior Fellow at the Woods Institute for the Environment. His research integrates physics, engineering, and biology to explore computation in biological systems, develop low-cost diagnostic tools (e.g., Foldscope), and address planetary challenges through citizen science. He leads the Prakash Lab, focusing on frugal science innovations, oceanography, and disease diagnostics. Education: Ph.D., MIT, Applied Physics (2008) M.S., MIT, Applied Physics (2004) B.Tech, Indian Institute of Technology, Computer Science (2002) Research Interests: Biological computation in single-cell organisms and non-neuronal systems Frugal science tools for global health and environmental monitoring Marine plankton behavior and ocean carbon sequestration Diagnostic technologies for malaria, tuberculosis, and other diseases His work emphasizes accessibility: projects like Foldscope ( foldscope.com ) and Planktoscope aim to democratize scientific inquiry. Advising & Collaborations: Labs: Prakash Lab, Foldscope Instruments Projects: Open-source ventilator design, N95 decontamination, and citizen science initiatives like Plankton Planet Focus areas include biophysical mechanisms of cellular motility and environmental sensors Labs & Teams: Prakash Lab: Combines engineering and biology to create affordable tools Planktoscope Initiative: Citizen-driven oceanography platform

Steven Therouxمشاهده پروفایل

استاد

• Molecular Biology
• Cell Biology
• Genetics
• +۵ مورد دیگر

Steven Theroux is a Professor of Biology at Assumption College, affiliated with the D’Amour College of Liberal Arts and Sciences. He holds a Ph.D. in Molecular and Cellular Biology from the University of Massachusetts Amherst (1989) and a B.A. in Biology/Chemistry from Rhode Island College (1984). His research focuses on molecular biology, cell signaling pathways, cancer biology, neurobiology, and evolutionary processes. Key areas include EGF receptor signaling, Raf kinase inhibitory protein functions, ZPR1-SMN protein interactions in spinal muscular atrophy, and the evolution of the universe and life. Theroux has taught undergraduate courses such as Concepts of Biology, Cancer Biology, Genetics, and Molecular and Cellular Biology. His work has been supported by grants like the NIH Academic Research Enhancement Grant. He has published widely in journals like Nature Cell Biology , Brain Research Bulletin , and Molecular Biology of the Cell , and authored the book A Most Improbable Story (2022). His awards include a Carnegie Foundation Professor of the Year nomination (2011), the Assumption College President’s Award for Excellence in Service (2013), and recognition for mentoring undergraduate researchers. His research spans molecular mechanisms in disease, protein interactions, and evolutionary biology, with contributions to understanding fundamental biological processes across multiple levels of complexity.

David Spielerمشاهده پروفایل

استاد

• Machine Learning
• Stochastic Systems
• Biochemical Systems Modeling
• +۳ مورد دیگر

David Spieler is a Professor of Machine Learning at the University of Applied Sciences Munich since September 2018. Previously, he served as a product owner for big data topics at Audi AG (2015–2018), a system developer at Bosch SoftTec (2014–2015), and completed his PhD in Modeling and Simulation at Saarland University (2009–2014). His research focuses on stochastic systems, biochemical modeling, parameter estimation, and oscillatory behavior analysis in Markovian systems. He has contributed to numerical methods for steady-state analysis, formal verification techniques, and applications in systems biology. Research interests include stochastic hybrid systems, sensitivity analysis of biochemical networks, geometric bounds for CTMC steady-state distributions, and oscillatory dynamics in chemical reaction networks. He has published extensively on topics like model checking, parameter estimation, and algorithmic solutions for stochastic processes. His work bridges theoretical computer science with practical applications in bioinformatics and engineering. Spieler has taught courses on data networks, quantitative model checking, and stochastic simulation techniques. He has reviewed manuscripts for over 20 conferences including CAV, CMSB, HSCC, and QEST, contributing to the advancement of formal methods and computational systems biology.