جستجوی استاد راهنمای دانشگاهی

Farzad Mashayek is a Professor and Department Head of Aerospace and Mechanical Engineering at the University of Arizona, College of Engineering. He is a member of the Graduate Faculty and leads the Computational Multiphase Transport Laboratory. His research integrates high-fidelity simulations, machine learning, and experimental validation across diverse domains in fluid dynamics and energy systems. Educational Background: PhD in Mechanical Engineering, State University of New York at Buffalo, Buffalo, NY MS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran BS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran His research interests include turbulent reacting flows, plasma dynamics, electrostatic atomization, solid-ion and lithium batteries, computational fluid dynamics, and machine learning applications in engineering. He employs high-order spectral element methods, phase-field modeling, and deep neural networks to study complex multiphysics phenomena such as drop impact, battery degradation, and turbulence modeling. The recent publications reflect a strong trend toward integrating machine learning with multiphysics simulations, particularly in battery safety (thermal runaway prediction), materials characterization (STEM image analysis), and fluid dynamics (modal analysis of turbulence). His work often involves collaboration with experimental groups to validate models, especially in dental aerosol suppression and electrohydrodynamics. Scientific Awards: Sustained Service Award, American Institute of Aeronautics and Astronautics (AIAA), Spring 2022 Best Presentation Award, The 20th International Conference on Computational Mathematics, Parallel and Distributed Computing, Summer I 2018 Dr. Mashayek has secured funding from NSF (GOALI program) for controlled coating via charged droplet deposition. He advises graduate students and postdoctoral researchers in computational mechanics and energy systems, fostering interdisciplinary research. He has contributed to engineering education, particularly during the pandemic, with active learning strategies in online instruction. He leads a dynamic research team focused on advancing simulation tools and applying them to real-world challenges in energy, manufacturing, and public health.

• Turbulent Reacting Flow
• Plasma Flow
• Electrostatic Atomization
• +۹ مورد دیگر

Thomas Walz, PhD, is a Professor at The Rockefeller University and Head of the Laboratory of Molecular Electron Microscopy. Previously, he held positions as Assistant, Associate, and Professor at Harvard Medical School (1999–2015) and was an Investigator at the Howard Hughes Medical Institute (2008–2015). He earned his PhD and BS in biophysics from the University of Basel, Switzerland, and completed postdoctoral research at the University of Sheffield. Walz completed his education at the Biozentrum, University of Basel, Switzerland, where he received his Diploma in Biophysics (1992) and PhD in Biophysics (1996). He furthered his training as a postdoctoral researcher at the University of Sheffield (1996–1999). His research focuses on understanding membrane-related processes and the structural biology of membrane proteins in lipid environments. Utilizing cryo-electron microscopy and nanodisc technology, he investigates how lipid bilayers influence membrane protein structure and function. Key areas include mechanosensitive channels, T-cell receptor dynamics, and telomere maintenance mechanisms. Collaborations with the de Lange lab explore the CST-Polα/primase complex's role in telomere regulation. Walz has been recognized with the Genzyme Award for Outstanding Achievement in Biomedical Sciences (2004) and continues to contribute to advancements in structural biology and membrane protein research. While specific student advisees are not listed, Walz actively mentors through his roles in the David Rockefeller Graduate Program and Tri-Institutional programs. His research is supported by grants and institutional funding, though specific grants are not detailed here. He directs the Laboratory of Molecular Electron Microscopy at Rockefeller, a hub for innovative structural biology and membrane protein studies. The lab collaborates widely, integrating cryo-EM with electrophysiology and molecular dynamics simulations.

• Membrane Biology
• Structural Biology
• Cryo-electron Microscopy
• +۵ مورد دیگر

Sriram Subramaniam is a Professor in the Department of Biochemistry and Molecular Biology at the University of British Columbia (UBC) and holds the Gobind Khorana Canada Excellence Research Chair in Precision Cancer Drug Design. His research leverages cryo-electron microscopy (cryo-EM) to advance structural biology and drug design, focusing on protein dynamics and therapeutic target identification. Education: PhD in Physical Chemistry (1987) from Stanford University; MSc in Chemistry (1981) from Indian Institute of Technology, Kanpur. Subramaniam's interdisciplinary work combines cryo-EM with computational tools and molecular biology to study protein structures at atomic resolution. His lab has pioneered cryo-EM applications in precision medicine, including mapping small molecule drugs on patient-specific cancer mutants. Recent publications (2024-2022) highlight his contributions to understanding SARS-CoV-2 immune evasion, structural mechanisms of ATPases, and AI integration in structural biology. His research spans viral entry mechanisms, CRISPR systems, and neurodegenerative disease pathways. Scientific Awards: Gobind Khorana Canada Excellence Research Chair NIH Director’s Award for Scientific Excellence Fellow of the Biophysical Society Breakthrough Prize nomination Based at the Djavad Mowafaghian Center for Brain Health, Subramaniam leads the Program in Cryo-EM Guided Drug Design, contributing to over 177 peer-reviewed publications with a career h-index of 58 and citations exceeding 12,340.

• cryo-electron microscopy
• structural biology
• drug-design
• +۴ مورد دیگر

Vadim Cherezov, the Ester Dornsife Chair in Biological Sciences and Professor at the University of Southern California (USC), leads groundbreaking research in membrane protein structure and function. Affiliated with the Bridge Institute, Department of Chemistry, and Michelson Center for Convergent Bioscience, his work focuses on GPCRs, ion channels, and transporters—critical targets for drug discovery. His team leverages advanced techniques like Lipidic Cubic Phase (LCP) and Serial Femtosecond Crystallography (SFX) at XFEL facilities to solve high-resolution structures under physiological conditions. Institutional Affiliations: Bridge Institute, USC Michelson Center, Department of Chemistry, Department of Pharmacology and Pharmaceutical Sciences. Key Collaborations: Katritch Lab, Kuhn Lab, NIH, European XFEL. His research explores the role of lipids in modulating GPCR function, addressing diseases like Alzheimer’s, diabetes, and cancer. By solving the structure of the A 2A adenosine receptor via sulfur SAD phasing at XFEL, Cherezov’s lab demonstrated de novo phasing without heavy atoms. This breakthrough enables structural studies of previously intractable membrane proteins. Scientific Awards & Grants: NIH R01 GM108635, U54 GM094618, U54 GM094599, R01 GM095583 Science Signaling Breakthroughs of the Year (2014) Cherezov mentors a dynamic team, including postdocs (e.g., Dong-Gyun Kim), graduate students (e.g., Behnaz Davoudinasab), and alumni (e.g., Benjamin Stauch at Eli Lilly, Nairie Michaelian at Genentech). His lab’s publications span Nature , Science , and Cell , with recent work on Science Advances (2025) addressing ABEL-FRET for GPCR dynamics.

• Membrane Protein Structure and Function
• G Protein-Coupled Receptors (GPCRs)
• Lipid-Protein Interactions
• +۳ مورد دیگر

David S. Eisenberg is a Professor of Chemistry and Biochemistry and Biological Chemistry at the University of California, Los Angeles, where he also serves as Director of the UCLA-DOE Institute for Genomics and Proteomics and as an HHMI Investigator. His research focuses on protein interactions, particularly the structural basis for conversion of normal proteins to the amyloid state and conversion of prions to the infectious state. Dr. Eisenberg earned his undergraduate degree in biochemical sciences from Harvard College and his D.Phil. degree in theoretical chemistry from Oxford University on a Rhodes Scholarship. His postdoctoral research was on ice and water with Walter Kauzmann at Princeton and in protein crystallography with Richard Dickerson. He joined the UCLA faculty after his postdoctoral studies. Dr. Eisenberg and his research group focus on protein interactions in amyloid and prion diseases. These diseases involve protein aggregation where normal functional proteins convert to abnormal aggregated forms. Systemic amyloid diseases like dialysis-related amyloidosis result from fiber accumulation until organ failure, while neurodegenerative diseases like Alzheimer's, Parkinson's, ALS, and prion conditions appear to be caused by smaller oligomers. In 2005, his team determined the atomic-level structure for the amyloid fiber spine, revealing a 'steric zipper' of two parallel beta sheets packed across a dry interface. Since then, they've determined approximately 90 amyloid spines from 15 disease-related proteins. In 2010, they identified the structure of a toxic amyloid-related oligomer consisting of six anti-parallel beta strands forming a cylindrical barrel. His recent publications demonstrate continued innovation in amyloid research, with focus areas including structural prediction of amyloid formation, mechanisms of tau fibril disassembly in Alzheimer's disease, cryo-EM analysis of amyloid polymorphism, and structure-based design of inhibitors for amyloid toxicity. His work integrates computational, structural, and biochemical approaches to understand protein aggregation across multiple disease contexts. Dr. Eisenberg has received numerous prestigious awards and honors: National Academy of Sciences Member American Philosophical Society Member Institute of Medicine Member Howard Hughes Medical Institute Investigator Biophysical Society Emily M. Gray Award Harvard Westheimer Medal UCLA Seaborg Medal Technion - Israel Institute of Technology Harvey Prize in Human Health As Director of the UCLA-DOE Institute for Genomics and Proteomics and an HHMI Investigator, Dr. Eisenberg leads significant research initiatives in protein structure and aggregation. His laboratory combines X-ray crystallography, bioinformatics, and biochemical techniques to investigate protein interactions, with particular emphasis on amyloid-forming proteins and their role in disease. The Eisenberg Lab, located in Boyer Hall at UCLA, maintains an active research program investigating the structural basis of protein aggregation. The lab continues to build on its landmark discoveries of amyloid structures while exploring new frontiers in understanding protein misfolding diseases and developing potential therapeutic interventions.

• Protein Aggregation
• Amyloid Structures
• Prion Diseases
• +۵ مورد دیگر

Edoardo Charbon is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Engineering, where he leads the Advanced Quantum Architecture Lab (AQUA). He also serves on the School Council STI and is Co-Director of STI-SSIQ Administration. Previously, he was a full professor and chair at Delft University of Technology from 2008 to 2016. Charbon received his Elektrotechnik Diploma from ETH Zurich, M.S. from UC San Diego, and Ph.D. from UC Berkeley, all in electrical engineering. His career spans industry experience at Cadence Design Systems and Canesta Inc. before joining EPFL in 2002. His research focuses on ultra high-speed and 3D optical sensors, with applications in LiDAR, FLIM (Fluorescence Lifetime Imaging Microscopy), PET (Positron Emission Tomography), FCS (Fluorescence Correlation Spectroscopy), and NIROT (Near-Infrared Optical Tomography). He has pioneered deep-submicron CMOS SPAD technology, which is now mass-produced and used in smartphones, telemeters, and medical diagnostics. His recent work bridges cryo-CMOS circuits for quantum computing with advanced optical sensing techniques. Analysis of his recent publications reveals a strong trend toward integrating quantum technologies with practical imaging applications. His work spans from fundamental device development (SPAD sensors, cryo-CMOS circuits) to applied systems (LiDAR engines, medical imaging devices), with increasing integration of machine learning techniques for real-time processing. 2023 IISS Pioneering Achievement Award Fellow of the IEEE Distinguished visiting scholar, W. M. Keck Institute for Space at Caltech Fellow, Kavli Institute of Nanoscience Delft Distinguished lecturer, IEEE Photonics Society Professor Charbon has authored or co-authored over 500 papers and two books, and holds 27 patents. His research has been supported by collaborations with organizations including Bosch, X-Fab, Texas Instruments, Maxim, Sony, Agilent, and the Carlyle Group. He has driven significant innovation in CMOS SPAD technology, which is now commercially deployed in various applications. He leads the Advanced Quantum Architecture Lab (AQUA) at EPFL, which focuses on the development of advanced sensor systems combining quantum technologies with conventional electronics. The lab has been instrumental in creating SPAD-based imaging systems that push the boundaries of time-resolved optical detection.

• Ultra High-Speed Optical Sensors
• 3D Optical Sensors
• LiDAR
• +۱۰ مورد دیگر

James Van Etten is the William Allington Distinguished Professor of Plant Pathology at the University of Nebraska-Lincoln, affiliated with the School of Biological Sciences and Nebraska Center for Virology. His research focuses on chloroviruses—large dsDNA viruses infecting Chlorella-like algae—with emphasis on DNA replication, restriction systems, and membrane transport proteins. Key research themes include: Viral DNA modification systems Host-virus interactions Structural virology Evolution of organellar genomes Recent work analyzed: SMRT sequencing of viral methylation patterns Chlorovirus cryopreservation methods Potassium channel biophysics Host chemical signaling mechanisms Lab webpage: vanettenlab.unl.edu

• Virology
• Molecular Biology
• Genomics
• +۶ مورد دیگر

Amit Singer is a Professor of Mathematics at Princeton University and a member of the Program in Applied and Computational Mathematics (PACM). He joined Princeton in 2008 after serving as a Gibbs Assistant Professor at Yale University's Department of Mathematics from 2005 to 2008. His research spans theoretical and computational aspects of data science, with a focus on structural biology and methods like cryo-electron microscopy. Education : B.Sc. in Physics and Mathematics (1997), Ph.D. in Applied Mathematics (2005) from Tel Aviv University, Israel. Research Interests : Singer leads advancements in computational methods for structural biology, particularly analyzing noisy data from cryo-EM. His work integrates applied mathematics with disciplines like random graph theory, sensor networks, and diffusion processes. Recent contributions combine representation theory with network construction to extract molecular structures from 2D images. Scientific Awards : Moore Investigator in Data-Driven Discovery Award (2014) Simons Investigator Award (2012) Presidential Early Career Award for Scientists and Engineers (2010) Alfred P. Sloan Research Fellowship (2010) Haim Nessyahu Prize in Mathematics (2007) Singer collaborates extensively with interdisciplinary teams, advancing the application of mathematics to real-world scientific challenges.

• Applied Mathematics
• Data Science
• Structural Biology
• +۵ مورد دیگر

Dr. Daniel Roxbury is an Associate Professor and Graduate Director at the Department of Chemical, Biomolecular and Materials Engineering within the University of Rhode Island's College of Engineering. With expertise in nanoscience and carbon nanomaterials, his research focuses on nano-bio interactions, developing functionalized nanotubes for biomedical applications and environmental monitoring through his NanoBio Engineering Laboratory. His work spans multiple disciplines including: Biomedical nanosensors Smart wearable biomaterials Targeted drug delivery systems Environmental nanotechnology Single-molecule imaging Nanotoxicology Recent publications emphasize machine learning-enhanced spectral analysis, coral reef conservation nanotechnology, and wearable stress monitoring textiles. His 2024 ACS Nano study introduces AI-driven macrophage phenotyping, while 2023 Nature Nanotechnology work explores coral reef restoration strategies using nanomaterials. Awarded the 2019 NSF CAREER grant for cellular nanometrology, he leads multiple NIH-funded projects including: $820,000 NSF CAREER: Spectral Imaging for Sub-Cellular Nanometrology $140,000 Miriam Hospital COBRE: Cortisol Detection Textiles $700,000 NSF EAGER: Multiplexed Wound Biomarker Detection His laboratory houses state-of-the-art equipment including: Near Infrared Hyperspectral Microscope Custom NIR Fluorescence Spectrometer Jasco UV/VIS/NIR Spectrophotometer Biosafety Cabinet Cell Culture Incubator Cryo-Storage System

• Nanoscience
• Carbon Nanotubes
• Nanomaterials
• +۴ مورد دیگر

Amit Singer is a Professor of Mathematics at Princeton University, specializing in computational methods for structural biology and cryo-electron microscopy (cryo-EM). His work focuses on developing mathematical frameworks and algorithms for analyzing large-scale microscopy datasets, particularly in 3D reconstruction and heterogeneity analysis of molecular structures. He leads research in manifold learning, optimal transport, and harmonic analysis, with applications to cryo-EM, signal processing, and inverse problems. Research interests include: (1) Mathematical methods for cryo-EM, including particle alignment, density map analysis, and subspace-based reconstruction techniques; (2) Development of rotation-invariant representations for imaging problems; (3) Application of machine learning and optimization to biomedical imaging challenges. His contributions bridge pure mathematics (e.g., harmonic analysis, manifold theory) with applied computational techniques for real-world microscopy data. Key trends in his recent articles (2023–2025) include advancements in multi-reference alignment methods, Wasserstein distance-based image registration, and overcoming particle detection limitations in cryo-EM. He also explores sparsity constraints, autocorrelation analysis, and novel algorithms for handling heterogeneous datasets. These methods improve resolution and reduce computational costs in analyzing molecular structures at atomic scales. Notable contributions include the ASPiRE software package for steerable PCA, and foundational work on synchronization problems in cryo-EM orientation estimation. His research often addresses algorithmic scalability and robustness to noise in experimental setups.

• Computational Mathematics
• Structural Biology
• Cryo-Electron Microscopy
• +۳ مورد دیگر

Peter Doerschuk is a Professor in the Department of Electrical and Computer Engineering at Cornell University's College of Engineering. He joined Cornell in July 2006 after serving on the faculty at Purdue University in both Electrical and Computer Engineering and Biomedical Engineering. His educational background includes: B.S. in Electrical Engineering, MIT (1977) M.S. in Electrical Engineering, MIT (1979) Ph.D. in Electrical Engineering, MIT (1985) M.D., Harvard Medical School (1987) Peter Doerschuk's research focuses on biological and medical systems through the lens of computational nonlinear stochastic systems. His work spans biomedical imaging , signal and image processing , statistical modeling , and computational inverse problems in biophysics . He develops high-performance algorithms and software systems that integrate accurate physical models with computational efficiency. His research addresses problems across multiple spatial scales—from 3D virus reconstruction using electron microscopy to modeling whole-body ethanol pharmacokinetics. The recent publications highlight a strong trend in computational biomedical imaging and physiological modeling . Key areas include 3D reconstruction of heterogeneous biological structures, cryo-EM dynamics analysis, and physiologically based pharmacokinetic modeling. The work consistently combines advanced statistical and machine learning methods with domain-specific physical models, particularly in virology and neurovascular physiology. His scientific awards and honors include: Fellow, American Institute for Medical and Biological Engineering (AIMBE) University Faculty Scholar, Purdue University Motorola Excellence in Teaching Award Ernst A. Guillemin Thesis Prize (MIT) Department of Biomedical Engineering Faculty Service Award (Purdue) Dr. Doerschuk has advised graduate students, including Keyuan Xu, whose M.Eng. thesis at MIT received the prestigious Ernst A. Guillemin Thesis Prize. His research has been supported through academic grants and collaborations with institutions such as The Scripps Research Institute and Indiana University School of Medicine. He has developed parallel software systems for high-performance computing applications in biophysics and biomedical signal processing. His research has involved collaboration with multiple labs and teams, including work with Professor J. E. Johnson at The Scripps Research Institute on virus structure determination and with Professor S. J. O’Connor at Indiana University on ethanol pharmacokinetics modeling. These interdisciplinary teams integrate expertise in engineering, medicine, and computational science to solve complex biomedical problems.

• Biomedical Engineering
• Bioengineering
• Signal and Image Processing
• +۱۵ مورد دیگر

Prof. dr. Tessa Quax is an Associate Professor at the Faculty of Science and Engineering, University of Groningen, leading research in Molecular Microbiology . Her work focuses on archaeal virology and virus-host interactions, supported by prestigious grants including an ERC Starting Grant (2022) and NWO Vidi Grant (2023). Key Research Areas: Archaeal virus entry/egress mechanisms Cell surface dynamics and motility Extreme environment microbiology Genetic tool development for archaea Recent publications in Nature Reviews Microbiology (2025) and Current Opinion in Microbiology (2024) highlight her work on viral host recognition and structural diversity. Her lab's 44 research outputs span archaeal cell biology, viral evolution, and ecological impacts of virus-induced lysis. Scientific Recognition: KNAW Beijerinck Premium (2022) KNAW Early Career Award (2021) Hector Research Career Development Award (2021) ERC Starting Grant (2022) As Chair of the International Society for Viruses of Microbes SAB and Speaker of the German Microbiology Society's Microbial Viruses group, she coordinates global research networks including a HFSP grant (2023) with Japan/Australia/USA collaborators. Her lab currently includes PhD candidate Zaloa Aguirre Sourrouille and multiple postdoctoral researchers.

• Archaeal Virology
• Virus-Host Interactions
• Microbial Cell Biology
• +۳ مورد دیگر

Sharon Rozovsky is a Professor in the Department of Chemistry and Biochemistry at the University of Delaware's College of Arts & Sciences, where she leads research on oxidative stress response mechanisms and protein quality control pathways. Her work bridges biochemistry, chemical biology, and structural biology with direct implications for understanding neurodegenerative diseases and viral pathogenesis. Her academic foundation includes a B.S. from Tel Aviv University (1994) and a Ph.D. from Columbia University (2000), establishing her expertise in protein dynamics and redox biochemistry. These credentials underpin her innovative approaches to studying cellular stress responses. Rozovsky's research program centers on selenoproteins—proteins containing the rare amino acid selenocysteine—and their critical roles in endoplasmic reticulum (ER) stress resolution. She investigates how membrane-bound selenoproteins like Selenoprotein S and K regulate the ER-associated degradation (ERAD) pathway, with recent work revealing their surprising autoproteolytic activity and involvement in SARS-CoV-2 replication. Her lab pioneers chemical tools including expressed protein ligation and advanced 77Se NMR spectroscopy to characterize these systems at molecular resolution. Analysis of her 2021-2025 publications shows dominant themes in selenoprotein structure-function relationships, ER stress mechanisms, and viral interactions, alongside methodological innovations in cryo-EM grid technology and NMR. This body of work demonstrates consistent focus on redox biochemistry with expanding applications in virology and structural biology. No major scientific awards or fellowships were explicitly documented in the available materials, though her research impact is evident through high-impact publications and methodological contributions. She directs the active Rozovsky Research Group, mentoring graduate students and postdoctoral researchers in biochemical and biophysical techniques. Her laboratory operations are supported by competitive funding including an NSF CAREER award (2011) focused on selenoprotein reactivity, reflecting sustained recognition of her innovative research program.

• Oxidative Stress
• Protein Quality Control
• ERAD Pathway
• +۵ مورد دیگر

Aaditya Rangan is an Associate Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. He holds a Ph.D. from UC Berkeley (2003) and a B.A. from Dartmouth College (1999). His research focuses on applying numerical analysis and scientific computing to biological systems, including neuronal network dynamics in the insect olfactory system and mammalian visual cortex. He also develops computational tools for genomic data analysis, particularly biclustering methods for gene expression and SNP datasets. Rangan currently directs NYU's master's program in mathematics. Key contributions include models of synaptic depression in neural systems and algorithms for cryo-EM data processing. His work is published in journals like the Journal of Computational Neuroscience and PLoS Computational Biology , and his software tools are available on GitHub.

• Numerical Analysis
• Scientific Computing
• Neuroscience
• +۴ مورد دیگر

Jeff S Abramson is a Professor of Physiology in the David Geffen School of Medicine at the University of California Los Angeles (UCLA). His research focuses on the structural and functional characterization of membrane transport proteins, particularly sugar transporters and mitochondrial channels. He maintains an active laboratory investigating the molecular mechanisms of cellular transport processes. Dr. Abramson's primary research interests center on membrane transport proteins, with particular emphasis on sugar symporters and voltage-dependent anion channels (VDACs). His work combines structural biology, biophysics, and biochemistry to understand the molecular mechanisms of transport, including conformational changes during transport cycles, substrate recognition, and regulation by membrane potential. His research has significant implications for understanding metabolic disorders, mitochondrial function, and potential therapeutic targets. Analysis of Dr. Abramson's publication record reveals a consistent focus on membrane protein structure-function relationships over the past two decades. His work demonstrates expertise in X-ray crystallography, cryo-electron microscopy, and functional assays to characterize transport proteins. Recent publications show increasing emphasis on mitochondrial biology, particularly VDAC structure and function, while maintaining his longstanding interest in sugar transport mechanisms. His research bridges fundamental biophysical principles with potential biomedical applications in metabolic diseases. Dr. Abramson has been awarded multiple NIH grants supporting his research, including the R35GM135175 grant titled 'Deciphering molecular details of cellular sugar transport and their roles in disease' (2020-2024), R01GM124783 'Functional and structural studies of unique pathogenic transporters involved in glycobiology' (2017-2021), and R01GM078844 'Structural and functional characterization of sugar transporters in health and disease' (2006-2020). As Principal Investigator, Dr. Abramson has mentored numerous graduate students and postdoctoral researchers. His laboratory has made significant contributions to understanding the structure-function relationships of membrane transport proteins through collaborations with researchers across multiple disciplines. The lab utilizes advanced techniques including X-ray crystallography, cryo-EM, electrophysiology, and computational modeling to address fundamental questions about membrane protein mechanisms. Dr. Abramson's laboratory is part of UCLA's broader research ecosystem focused on structural biology and membrane protein research. His work intersects with several research centers at UCLA including those focused on metabolic diseases and structural biology. The lab maintains active collaborations with researchers specializing in biophysics, computational modeling, and disease mechanisms to translate basic findings into potential biomedical applications.

• Membrane Transport Proteins
• Structural Biology
• Sugar Transporters
• +۵ مورد دیگر