جست‌وجوی استاد و پژوهشگر

Eric Mayمشاهده پروفایل

دانشیار

• Computational Biophysics
• Theoretical Biophysics
• Biochemistry
• +۷ مورد دیگر

Eric May is an Associate Professor in the Department of Molecular and Cell Biology at the University of Connecticut, with research focused on computational and theoretical biophysics and biochemistry. His work bridges physical mechanisms in biology with applications in nanotechnology and biomedical engineering, particularly studying conformational transitions and mechanical properties of biological materials. May's research explores structural changes in non-enveloped viruses during infection, membrane disruption, protein folding, structural prediction, and mitochondrial peptide interactions. His group utilizes advanced molecular dynamics simulations to connect single-molecule and ensemble experimental data, developing tools like BUMPy for lipid bilayer modeling. Recent computational studies highlight his expertise in pH-dependent viral capsid behavior, mitochondria-targeted peptides, and lipid bilayer interactions. He has published extensively on topics including viral lytic peptides, cardiolipin dynamics, and nanotube architecture, though no specific awards or student advisement details are mentioned in available records. His lab at UConn (maylab.uconn.edu) investigates how environmental stimuli affect viral structures and biomedical systems, combining theoretical approaches with experimental correlations to advance understanding of biological and synthetic material behavior.

Jens Bochمشاهده پروفایل

استاد

• Genome Editing
• Plant Biotechnology
• Bacterial Pathogens
• +۳ مورد دیگر

Prof. Jens Boch is a Professor at Leibniz University Hannover's Institute of Plant Genetics, specializing in plant biotechnology and genome editing. He leads the Boch group, focusing on developing crops with improved traits using TALEN and CRISPR tools. His research investigates plant pathogens like Xanthomonas , particularly their TALE effectors that manipulate host genes. Key roles include Chair of the Biology Examination Board and membership in external committees such as the Konferenz Biologischer Fachbereiche (KBF). Education & Affiliations: No explicit education details provided; affiliated with Leibniz University Hannover's Faculty of Natural Sciences. Research Interests: Genome editing applications in agriculture, bacterial pathogen strategies (e.g., Xanthomonas TALE effectors), plant defense mechanisms, and crop improvement. Recent work includes base editor developments for mitochondrial disease modeling (2025), allergen reduction in mustard (2022), and TALE-based tools for gene activation (2022). His group collaborates on projects like removing allergens and enhancing cattle heat resistance via embryo editing. Media contributions include podcasts and discussions on genome editing ethics and applications.

• Visual Perception
• Cognitive Neuroscience
• Neuroscience
• +۳ مورد دیگر

Zijiang J He, PhD, is a Professor and Distinguished University Scholar in the Department of Psychological and Brain Sciences at the University of Louisville. His research focuses on visual perception, particularly the mechanisms underlying 3D depth perception and middle-level vision. He holds a B.S. in Biophysics from the University of Science and Technology of China (1983), M.S. in Neurobiology from Shanghai Institute of Physiology (1986), and Ph.D. in Physiological Optics & Neuroscience from the University of Alabama at Birmingham (1990). Postdoctoral training was completed at Harvard University (1994). Research interests include space vision mechanisms and middle-level vision processes. His lab explores how the brain integrates 2D retinal images into 3D spatial perception, leveraging virtual reality and psychophysical methods. Key contributions include studies on sensory eye dominance, binocular rivalry, and perceptual learning protocols for amblyopia. He leads the Visual Perception and Cognition Lab, emphasizing interdisciplinary approaches combining neuroscience, computational modeling, and behavioral experiments. Notable achievements include the Distinguished University Scholar title and impactful publications in *Nature*, *Science Advances*, and *Proceedings of the National Academy of Sciences*. His work bridges ecological regularities and neural processing, advancing understanding of visual system adaptations to spatial environments.

Sergei Fedotovمشاهده پروفایل

استاد

• Random Walk Theory
• Reaction-Diffusion Systems
• Non-Markovian Processes
• +۳ مورد دیگر

Professor Sergei Fedotov is a Professor of Applied Mathematics in the Department of Mathematics at the University of Manchester. He holds a PhD from Ural Federal University (1986) and has held academic positions in London, Aachen, Wuppertal, and Berlin before joining Manchester in 1998. His research focuses on random walk theory, reaction-transport systems, and anomalous transport phenomena with applications to biophysics, nanotechnology, and cancer biology. His expertise includes non-Markovian models, fractional calculus, and interdisciplinary collaborations in areas such as intracellular transport, nanoparticle dynamics, and DNA repair. Fedotov has led major grants, including EPSRC-funded projects on nanoparticle transport in radiotherapy and FAPESP-UoM collaborations on correlated memory in biological systems. He has supervised PhD students including Anna Gavrilova, Daniel Han, and Helena Stage, and collaborates with institutions globally, such as Universitat Autònoma de Barcelona and The Christie Hospital. Key research themes include stochastic models of subdiffusion/superdiffusion, fractional partial differential equations, and the application of statistical mechanics to biological systems. His work contributes to sustainable development goals through advancements in medical physics and environmental modeling. Recent publications explore heterogeneous transport in C. elegans, stochastic water flow dynamics, and the modeling of radiation-induced DNA damage. Fedotov’s team develops novel frameworks to bridge theoretical mathematics with experimental biology, emphasizing the role of memory effects and non-equilibrium processes. Grants managed include the EPSRC £702k project on improving radiotherapy via nanoparticle transport modeling (2021–2025) and the FAPESP-UoM study on correlated memory in biological systems (2018–2022). His work integrates mathematical rigor with experimental validation, addressing challenges in cellular logistics and disease mechanisms.

Yujia Zhangمشاهده پروفایل

استادیار

• Bioiontronics
• Microengineering
• Synthetic tissues
• +۳ مورد دیگر

Yujia Zhang is a Tenure Track Assistant Professor at the School of Engineering , École Polytechnique Fédérale de Lausanne (EPFL), leading the Laboratory for Bio-Iontronics (BION) since January 2025. His work focuses on developing iontronic biointerfaces and hybrid intelligent systems for biomedical applications. Academic Affiliations: EPFL School of Engineering, STI-SMT SMT-ENS PhD program committee Research Themes: Droplet-based iontronics, synthetic tissues, advanced manufacturing Research Trends from his publications emphasize microscale droplet iontronics , soft energy systems , and biohybrid interfaces , with applications in neurostimulation , tumor modeling , and biomedical devices . Scientific Awards : 2023: Early-career Research Scientist Representative, UK Parliamentary & Scientific Committee 2022: Excellent Doctoral Dissertation, Chinese Academy of Sciences 2021: Outstanding Doctoral Thesis, Chinese Institute of Electronics 2020: Special Prize for President Scholarship, Chinese Academy of Sciences Academic Contributions include mentoring PhD students and teaching microfabrication technologies. His lab develops 3D-printed synthetic tissues and droplet networks for interactive biological communication.

Peter Z. Qinمشاهده پروفایل

استاد

• Physical Chemistry
• Biochemistry
• CRISPR Technology
• +۳ مورد دیگر

Professor Peter Z. Qin is a faculty member in the Department of Chemistry at the University of Southern California (USC), affiliated with the USC Dornsife College of Letters, Arts and Sciences. His research focuses on understanding nucleic acid recognition mechanisms, genome engineering, and CRISPR-Cas systems, employing advanced techniques like Site-Directed Spin Labeling (SDSL) and electron paramagnetic resonance (EPR) spectroscopy. Qin earned his Ph.D. from Columbia University (1999) and B.S. from Peking University (1991). Research interests include structural dynamics of nucleic acids, protein-nucleic acid interactions, and CRISPR-mediated DNA cleavage mechanisms. His work bridges physical chemistry and biochemistry, with applications in diagnostics, therapeutics, and gene editing. Notable contributions involve elucidating CRISPR-Cas9 and Cas12a mechanisms, DNA-unwinding checkpoints, and the role of bridge helices in target discrimination. Recent publications (2021–2025) emphasize CRISPR-Cas systems, DNA dynamics, EPR-based instrumentation, and molecular mechanisms of genome editing. His group develops tools like dual-mode EPR spectrometers and phosphorothioate-based RNA labeling techniques. The lab actively publishes in high-impact journals and collaborates on translational projects like CRISPR-engineered mouse models. Prof. Qin’s work is supported by grants and collaborations, though specific funding details are not listed. His lab maintains a dedicated website detailing ongoing research and methodologies.

• Mathematical Biology
• Biophysics
• Stochastic Processes
• +۳ مورد دیگر

Professor Kenneth A Lindsay is an Honorary Senior Research Fellow at the University of Glasgow's School of Mathematics & Statistics. His work bridges mathematical biology, biophysics, and financial econometrics, with a focus on stochastic processes and computational modeling. Key contributions include advancements in compartmental modeling of neurons, Fokker-Planck equation solutions for stochastic differential equations, and applications in energy market forecasting. He has authored/co-authored over 25 peer-reviewed articles and edited the influential 2005 book Modeling in the Neurosciences . Collaborations with researchers like David Brillinger, Adrian Hurn, and Jonathan Rosenberg highlight interdisciplinary expertise. His research addresses topics ranging from dendritic branching patterns to econometric optimization techniques. Publications span journals such as Biological Cybernetics , Journal of Financial Econometrics , and European Journal of Heart Failure . Notable work includes modeling electricity price spikes and analyzing magnetic field effects on nerve excitability. Lindsay's edited volumes and book chapters further underscore his role in advancing neuroscience and quantitative finance methodologies. His academic contributions reflect a commitment to mathematical rigor applied to real-world systems, with applications in biomedical engineering, energy economics, and computational neuroscience.

Juan Carlos Cuevasمشاهده پروفایل

استاد

• Theoretical Physics
• Nanophysics
• Molecular Electronics
• +۴ مورد دیگر

Prof. Juan Carlos Cuevas is a Professor of Theoretical Nanophysics at the Universidad Autónoma de Madrid (UAM). He holds a PhD in Physics from UAM (1999) and has led research groups in molecular electronics and nanoscience. His work focuses on superconductivity, quantum transport, and radiative heat transfer at the nanoscale. Key areas of research include: theoretical analysis of molecular junctions, superconducting nanostructures, and near-field thermal phenomena. Cuevas has co-authored influential books such as *Molecular Electronics* (World Scientific, 2017) and pioneered studies on single-molecule conductance and quantum interference effects. Recent contributions include discoveries on phonon interference in molecular junctions (2025), thermodynamic uncertainty relations in superconductors (2025), and advanced machine learning approaches for radiative heat optimization (2024). His work bridges theoretical models with experimental insights from scanning tunneling microscopy and nanofabrication techniques.

Alex Mogilnerمشاهده پروفایل

استاد

• Computational Biology
• Cell Biophysics
• Mathematical Biology
• +۵ مورد دیگر

Alex Mogilner is a Professor of Mathematics and Biology at New York University's Courant Institute and Department of Biology. His research focuses on computational and mathematical modeling of cellular processes, including cell motility, mitosis, actin dynamics, and galvanotaxis. He collaborates closely with experimentalists to bridge theoretical and empirical cell biology. Education: Ph.D., Applied Mathematics, University of British Columbia, Canada (1995) Ph.D., Physics, USSR Academy of Sciences (1990) M.Eng., Engineering Physics, Ural Polytechnic Institute, USSR (1985) Research Interests: Mathematical modeling of molecular machines in cells Mitotic spindle dynamics and chromosome segregation Actin-myosin contraction mechanisms Galvanotaxis and electrotaxis in cell migration Cellular biophysics and mechanochemical processes Selected Publications Highlights: Developed models for mitotic spindle assembly and error correction Investigated mechanisms of cell polarization and turning Studied actin network contraction and cytoskeletal dynamics Explored galvanotactic cell migration in electric fields Labs/Teams: Leads a computational modeling lab at NYU, collaborating with experimental groups globally in cell biology, biophysics, and systems biology.

Zhou Zhouمشاهده پروفایل

استادیار

• Neurotrauma Prevention
• Biomechanical Modeling
• Medical Imaging
• +۵ مورد دیگر

Zhou Zhou is an Assistant Professor (tenure track) in Neuronic Engineering at KTH Royal Institute of Technology's Department of Biomedical Engineering and Health Systems. He is affiliated with the Digital Futures Faculty, a cross-disciplinary research center focusing on digital technologies for societal challenges. His research focuses on neurotrauma prevention, prediction, and protection through computational modeling, machine learning, and biomechanical validation. Dr. Zhou holds a PhD from KTH (2019) and completed postdoctoral training at Stanford University, specializing in sports safety and concussion prevention. His work is supported by VINNOVA, Swedish Research Council, and others. He received the 2025 Göran Gustafsson Prize for young researchers. Research interests include in silico modeling, fluid mechanics, and safety standardization for helmets. Zhou teaches courses such as Biomechanics and Neuronics (HL2035/CH213V) and leads labs in human and animal neurotrauma modeling. He seeks postdoctoral candidates for rat neurotrauma research. Education: PhD in Biomedical Engineering, KTH (2019); Postdoc at Stanford University (Sports Safety) Key Projects: InSilicoHealth ITN, helmet evaluation via virtual testing Labs/Teams: Neuronic Engineering Division, Digital Futures Collaboratory

Brandon Karchewskiمشاهده پروفایل

استاد آموزشی

• Computational Geoscience
• Engineering Geology
• Natural Hazards
• +۲ مورد دیگر

Brandon Karchewski is an Associate Head (Undergraduate) and Teaching Professor in the Department of Earth, Energy and Environment at the University of Calgary. He earned his PhD in Civil Engineering from McMaster University and teaches courses including Engineering Geology, Computational Methods, and Natural Disasters. His research program focuses on: Computational methods in geophysics and geomechanics Geoscience education innovation Climate change impacts on frozen soils Inverse modeling applications Karchewski has pioneered virtual field experiences and developed open-source tools for modeling climate impacts on permafrost. His educational research examines metaphor use in geoscience communication and field pedagogy. Recent computational work includes Python-based permafrost modeling and stochastic inversion methods for biogeochemical transport. He leads the geophysics field school program emphasizing team-based learning. Award recognition includes: Geoscience Teaching Award (2019) Best Poster Award for teaching innovation research (2018) Team Teaching Excellence award (2016) Multiple teaching assistant awards

Luke Adamsمشاهده پروفایل

پژوهشگر ارشد

• Structural Biology
• Medicinal Chemistry
• Chemical Biology
• +۴ مورد دیگر

Luke Adams is a Research Fellow in Medicinal Chemistry at Monash University's Faculty of Pharmacy and Pharmaceutical Sciences. His academic profile indicates active research spanning structural biology, chemical biology, and drug discovery with a focus on advanced spectroscopic techniques. His research interests center on NMR spectroscopy and protein-ligand interactions , with significant contributions to unnatural amino acid engineering and fragment-based drug design . Key methodologies include genetic encoding of silylated lysines, gadolinium-based EPR distance measurements, and photocaged probes for spatiotemporal control of protein function. His work bridges structural characterization with therapeutic development, particularly in epigenetic targets and enzyme mechanisms. Analysis of his publication record (2002-2025) reveals consistent output in high-impact journals including Nature Communications , Journal of the American Chemical Society , and Journal of Medicinal Chemistry . His research demonstrates strong interdisciplinary integration across biophysics , medicinal chemistry , and chemical biology , with recent emphasis on neuroinflammatory targets and bromodomain inhibitors. The work contributes to UN Sustainable Development Goals related to health and well-being. Laboratory work appears centered on protein engineering and spectroscopic methodology development, with collaborations spanning biochemistry, pharmacology, and structural biology groups at Monash University.

Sharon Lubkinمشاهده پروفایل

استاد

• Biological Modeling
• Continuum Mechanics of Tissues
• Morphogenesis
• +۴ مورد دیگر

Sharon Lubkin is a Professor in the Department of Mathematics at North Carolina State University (NCSU). Her research focuses on modeling biological systems, continuum mechanics of tissues, and morphogenesis. She is affiliated with the Quantitative and Computational Developmental Biology research cluster and the NCSU/UNC Department of Biomedical Engineering. Dr. Lubkin holds roles such as SIAM representative to the Joint Committee on Women in Mathematics (2017-23) and former Publications Chair of the Society for Mathematical Biology (2004-2016). Education: Ph.D. in Applied Mathematics from Cornell University (1992). Research Interests: Modeling biological systems Continuum mechanics of soft tissues Mechanobiology and drug delivery Biomechanics of morphogenesis Collaborations with experimental biologists and engineers Funding: Supported by the Simons Foundation, NSF, and NIH. Advises students in Biomathematics, Applied Mathematics, Biomedical Engineering, and Mechanical Engineering. Professional Activities: National SIAM committee roles Leadership in mathematical biology organizations Active in promoting interdisciplinary collaborations

Arieh Warshelمشاهده پروفایل

استاد

• Theoretical Chemistry
• Biophysics
• Enzyme Catalysis
• +۷ مورد دیگر

Arieh Warshel is a Distinguished Professor of Chemistry and Biochemistry at the University of Southern California’s Dornsife College of Letters, Arts and Sciences. He holds the Dana and David Dornsife Chair in Chemistry and is a Nobel Laureate in Chemistry (2013) for pioneering multiscale simulation methods for biological molecules. His work integrates quantum mechanics and molecular mechanics (QM/MM) to model enzymatic reactions and biological processes. Warshel earned a B.S. from the Technion in Israel (1966), M.S. and Ph.D. from the Weizmann Institute (1967, 1969). He joined USC in 1976 and has since led groundbreaking research in theoretical chemistry, including studies of enzyme catalysis, molecular motors, ion channels, and drug design. His research focuses on computational modeling of biological systems, emphasizing electrostatic effects, proton/electron transfer, and protein dynamics. Key contributions include the EVB (Empirical Valence Bond) method and the QM/MM approach, which revolutionized simulations of enzymatic reactions. Current projects involve multiscale modeling of G-proteins, ion pumps, and molecular machines. Warshel has authored over 500 publications, including seminal works on enzyme catalysis, electrostatic interactions, and molecular dynamics. His honors include membership in the U.S. National Academy of Sciences, the Royal Society of Chemistry’s Honorary Fellowship, and the Biophysical Society’s Founders Award. He oversees a research group with expertise in computational chemistry, mentoring postdocs like Ashim Nandi (plastic-degrading enzymes) and graduate students (e.g., Aoxuan Zhang, Lingfeng Hu). His lab uses advanced computing resources, including 38 dedicated nodes on USC’s HPC cluster, to simulate biological systems at unprecedented scales.

Michael N. Smolkaمشاهده پروفایل

استاد

• Addictive Behavior
• Neuroscience
• Psychiatry
• +۷ مورد دیگر

Prof. Michael N. Smolka is a Professor in the Department of Psychiatry and Psychotherapy, focusing on neuro-cognitive mechanisms underlying addictive behaviors. His research employs longitudinal approaches to study addiction development, maintenance, and recovery, integrating computational modeling of behavior with functional MRI to map brain systems. Key areas include executive functions, decision-making, learning, and motivation. He contributes to research consortia such as SFB 940 and TRR 265. Research interests emphasize brain-behavior interactions in mental health, with studies on genetic risk factors, environmental influences, and neuroimaging correlates of psychiatric disorders. His work bridges clinical psychiatry with cutting-edge computational methods, aiming to develop diagnostic tools and personalized interventions. Recent studies explore machine learning applications for predicting substance use disorders and eating disorders, alongside investigations into developmental trajectories of brain morphology and cognitive control mechanisms. Publications highlight interdisciplinary approaches, linking genetic, environmental, and neurobiological factors to addictive behaviors and mental health outcomes. His contributions to frameworks like brain-derived nosology and diathesis-stress models reflect his commitment to advancing translational research in psychiatry.