جست‌وجوی استاد و پژوهشگر

Barry Honigمشاهده پروفایل

استاد

• Structural Biology
• Computational Biology
• Neuroscience
• +۴ مورد دیگر

Barry Honig is a Professor of Biochemistry and Molecular Biophysics, Systems Biology, and Medicine at Columbia University's Vagelos College of Physicians and Surgeons. He serves as a Principal Investigator at Columbia's Zuckerman Mind Brain Behavior Institute and directs the Center for Computational Biology and Bioinformatics. His interdisciplinary research integrates computational, structural, and experimental approaches to study fundamental principles of molecular recognition, focusing on neuronal development, protein interactions, and cell adhesion systems. Honig's research centers on deciphering physical mechanisms underlying biological processes. Key interests include: Structural and energetic basis of protein-protein interactions Cadherin/protocadherin-mediated neuronal recognition and brain wiring Computational methods for protein interaction prediction Biophysical modeling of cell adhesion and signaling Systems biology approaches to cancer and viral infection Recent publications demonstrate strong emphasis on neural circuit formation, protein engineering, and computational biophysics, with recurring themes of molecular recognition specificity, adhesion complex dynamics, and machine-learning-enhanced structural analysis. Article keywords frequently involve neuronal self-recognition, free energy calculations, and proteome-scale interaction mapping. Major scientific honors include: National Academy of Sciences Member (2004) Alexander Hollaender Award in Biophysics (2007) American Academy of Arts and Sciences Fellow (2007) Christian B. Anfinsen Award (2012) DeLano Award in Computational Biosciences (2012) Howard Hughes Medical Institute Investigator Emeritus (2000-2019) Honig leads an interdisciplinary laboratory combining theoretical and experimental approaches to study molecular recognition. The lab develops computational tools widely used in structural biology and maintains collaborations across biochemistry, neuroscience, and biophysics disciplines.

• Molecular Neuroscience
• ALS Disease Mechanisms
• Genetic Basis of Neurological Diseases
• +۶ مورد دیگر

Dr. Tom Maniatis is the Isidore S. Edelman Professor of Biochemistry and Molecular Biophysics at Columbia University's Vagelos College of Physicians and Surgeons and a Principal Investigator at Columbia's Zuckerman Mind Brain Behavior Institute. He serves as Director of Columbia's Precision Medicine Initiative, Scientific Director and CEO of the New York Genome Center, and is a member of the Motor Neuron Center. Dr. Maniatis earned his B.A. and M.S. from the University of Colorado, his Ph.D. from Vanderbilt University, and completed postdoctoral training at Harvard University and the Laboratory of Molecular Biology in Cambridge, England. He previously held faculty positions at Caltech and Harvard University before joining Columbia. His research focuses on two major areas: molecular mechanisms of ALS and the function of clustered protocadherin (Pcdh) genes in neural circuit assembly. His pioneering work revealed how Pcdh genes generate unique molecular 'bar codes' on neurons that enable self-recognition and proper wiring of the brain. In ALS research, his lab investigates autophagy mechanisms, astrocyte/motor neuron interactions, and the role of neuroinflammation in disease progression using mouse models and human stem cells. Dr. Maniatis' recent publications demonstrate his lab's interdisciplinary approach, combining molecular biology, structural biology, and computational methods to study neural development and neurodegeneration. His work spans from fundamental protein structure studies to translational ALS research, with consistent themes of molecular recognition mechanisms and cellular heterogeneity. Lasker-Koshland Special Achievement Award in Medical Science (2012) Member, National Academy of Sciences (1985) Member, National Academy of Medicine (2012) Member, American Academy of Arts and Sciences (1985) Fellow, American Association for the Advancement of Science (1986) Eli Lilly Award in Microbiology and Immunology Dr. Maniatis' lab trains numerous graduate students and postdoctoral fellows in cutting-edge techniques spanning molecular biology, stem cell differentiation, animal behavior, and single-cell analysis. His collaborative approach, evident in partnerships with structural biologists and computational scientists, creates a rich training environment. The lab's work on protocadherins has established foundational knowledge about neural circuit assembly, while its ALS research offers promising pathways toward therapeutic interventions. The Maniatis Lab maintains strong connections with Columbia's Zuckerman Institute, providing access to state-of-the-art facilities and fostering collaborations across neuroscience disciplines. The lab's integration of basic molecular mechanisms with disease models exemplifies modern translational neuroscience research.

Eric Borguetمشاهده پروفایل

استاد

• Nanotechnology
• Plasmonics
• Nonlinear Optics
• +۵ مورد دیگر

Eric Borguet is the Hazel Tomlinson Professor of Chemistry at Temple University . His research focuses on interfacial and nanoscale phenomena, combining experimental and computational approaches in areas like Nanotechnology Plasmonics Nonlinear Optics Environmental Chemistry . His work explores fundamental questions in ultrafast dynamics , charge transport , and self-assembly processes at molecular interfaces. Recent publications highlight advancements in Vibrational sum frequency generation spectroscopy Metal-organic frameworks for catalysis Interfacial water structure Single-molecule electronics . Scientific awards include NSF-CAREER Award American Physical Society Fellow Visiting Professorships in France, India, and Japan Philadelphia Section Award from the American Chemical Society . He advises PhD students like Somaiyeh Dadashi, Eliza Madden, and Randy Espinal, with recent graduates contributing to fields such as chemical sensors and catalysis.

Caleb Hillمشاهده پروفایل

استادیار

• Electrochemistry
• Single-Entity Analysis
• Nanoparticle Spectroscopy
• +۵ مورد دیگر

Caleb Hill is an Assistant Professor in the Department of Chemistry at the University of Wyoming. His research focuses on single-entity electrochemistry and nanoscale spectroscopy , particularly for energy conversion and catalytic systems. He received his B.S. in Chemistry from Jacksonville State University (2009), a Ph.D. in Physical Chemistry from the University of Alabama (2014), and completed a postdoctoral fellowship at the University of Texas at Austin (2014–2016). Research interests include: Development of combined electrochemical and spectroscopic tools for single-particle/molecule studies Probing heterogeneous interfaces in energy conversion, catalysis, and sensing Design of single-entity microscopy methods for renewable energy materials Investigation of 2D semiconductors and plasmonic nanostructures Scientific awards include the NSF CAREER Award (Chemical Measurement and Imaging Program) for his single-entity electrocatalysis work. Students joining his lab since 2017 include Josh Hill , Partha , Md Maksudur Rahman , Chloe , and Roshni . The Hill Lab emphasizes interdisciplinary research bridging analytical chemistry, materials science, and energy technologies.

• Nanomaterials
• Biological Imaging
• Optical Sensing
• +۳ مورد دیگر

Jian Cui is a Principal Investigator at the Helmholtz Pioneer Campus (Helmholtz Munich) since 2018. He previously served as a Junior Group Leader at ETH Zürich (2017) and conducted postdoctoral research at ETH Zürich (2014). Education: B.S. in Chemistry, Stanford University Ph.D. in Physical Chemistry, MIT Research Interests: Jian Cui’s work focuses on synthesizing nanomaterials with unique chemical and optical properties to advance biological imaging and sensing. His interdisciplinary approach combines engineered nanomaterials and nano-optical detection for transdisciplinary outcomes in biomedical applications. Publications Trends: His recent publications (2025–2019) highlight expertise in nanophotonics, plasmonics, and semiconductor nanoparticles, with applications in live-cell imaging, protein interaction sensing, and energy transfer mechanisms. Scientific Awards: ETH Zurich and Marie Curie Postdoctoral Fellowship 2014 Member of USA Delegation to Lindau Meeting of Nobel Laureates 2013 Materials Research Society Graduate Student Award (Silver) 2012 National Science Foundation Graduate Research Fellowship Advising & Collaborations: Jian Cui leads the nanoPROBE lab , a diverse team exploring nanomaterials for biological systems. His research involves collaborations with institutions like ETH Zürich and Technical University of Munich. Labs & Teams: The nanoPROBE lab at Helmholtz Munich pioneers unconventional tools for biological imaging and sensing, leveraging interdisciplinary methods to transcend traditional disciplinary boundaries.

Alexander Chubykinمشاهده پروفایل

دانشیار

• Neural Circuits
• Synaptic Plasticity
• Optogenetics
• +۶ مورد دیگر

Alexander Chubykin is an Associate Professor in the Department of Biological Sciences at Purdue University, part of the College of Science. His research focuses on neural circuits in the mouse visual cortex, synaptic plasticity, and optogenetic techniques to study autism and neural circuit dysfunction. Chubykin employs advanced imaging and electrophysiological methods to investigate how neuromodulatory systems influence visual perception and reward-dependent plasticity. His work integrates in vitro and in vivo approaches, including automated patch-clamp electrophysiology and optogenetics, to dissect neural circuit mechanisms. Key research areas include the role of neuroligins and neurexins in synapse formation, and the application of adaptive optics for high-resolution microscopy in thick tissues. Chubykin has developed novel wireless neural recording devices and contributed to neurotechnology advancements such as deep learning-driven adaptive optics for single-molecule localization microscopy. Publications highlight his contributions to understanding visual cortex plasticity in autism models, potassium channel roles in zebrafish fin patterning, and interdisciplinary studies combining materials science with neurobiology. His lab’s innovations span from molecular mechanisms to translational neurotechnology, with applications in brain-inspired computing and neural circuit restoration after injury.

Jing Liuمشاهده پروفایل

دانشیار

• Biophysics
• Optical Engineering
• Computational Biology
• +۳ مورد دیگر

Jing Liu is an Associate Professor of Physics and Astronomy at Purdue University, with affiliations at Indiana University School of Medicine's Center for Computational Biology and Bioinformatics, Center for Diabetes and Metabolic Diseases, and the Indiana University Simon Comprehensive Cancer Center. His research focuses on developing advanced imaging methods and computational algorithms to study biophysical properties in live cells and nanoscale light-matter interactions. Key areas include chromatin biophysics, RNA imaging, and single-molecule spatial omics for Type 1 diabetes research. Dr. Liu holds a Ph.D. in Biological Engineering (Purdue University, 2015), M.S. in Optics (Chinese Academy of Sciences, 2010), and B.S. in Physics (Nanjing University, 2007). He has secured significant grants from NSF, NIH, and other institutions, including the 2023 NSF CAREER Award and 2022 NIH/NIGMS Maximizing Investigator’s Research Award. His research outputs include groundbreaking work on chromatin motion dynamics, deep learning in microscopy, and plasmonic nanostructures. Notable achievements include quantifying DNA damage effects on chromatin mobility and developing bioimage informatics tools for spatial transcriptomics. Grants: NSF Physics of Living Systems (2023–2028), NIH/NIDDK Spatial Transcriptomics (2022–2024), and others. Labs/Teams: Leads interdisciplinary teams at Purdue and collaborates with IU School of Medicine on diabetes and cancer research.

Jeffrey Reimersمشاهده پروفایل

استاد مدعو

• Quantum Chemistry
• Molecular Electronics
• Materials Science
• +۴ مورد دیگر

Prof. Jeffrey Reimers is an Adjunct Professor at the University of Technology Sydney (UTS) and Shanghai University, affiliated with the School of Mathematical and Physical Sciences. His research spans interdisciplinary fields including quantum chemistry, molecular electronics, materials science, and photosynthesis. He is renowned for developing computational methods to model complex systems and has made significant contributions to understanding phenomena such as single-molecule devices, defect spectroscopy in materials, and low-energy excited states in photosynthesis. Education and affiliations: Collaborates with institutions like Shanghai University, the Australian National University, and McGill University. His work is supported by grants from the Australian Research Council (ARC) and industry partnerships. Research interests include computational chemistry, molecular electronics, nanotechnology, and quantum computing applications. He has pioneered methods for simulating electronic and vibrational properties of materials and has contributed to the development of software like the INDO package. Recent articles highlight advancements in piezoresistive devices, polytopal rearrangement models, and novel materials for energy applications. His work is widely cited, with impactful contributions to materials spectroscopy and defect engineering. Awards: Fellow of the Australian Academy of Science (2010) David Craig Medal for Chemistry (2016) Fellowship of the Royal Society of New South Wales Supervision: Open to mentoring students in computational chemistry, materials science, and molecular electronics through UTS and Shanghai University collaborations. Labs/Teams: Leads interdisciplinary projects at UTS and Shanghai University, focusing on quantum chemistry, molecular electronics, and energy materials.

Jason Lavinderمشاهده پروفایل

عضو هیئت علمی

• Antibody Repertoire Analysis
• Vaccinology
• Immunology
• +۳ مورد دیگر

Jason Lavinder is a Research Assistant Professor in the Department of Chemical Engineering at the University of Texas at Austin. His research focuses on high-throughput profiling of antibody repertoires using BCR-Seq and Ig-Seq technologies to study adaptive immune responses against pathogens like SARS-CoV-2, influenza, HIV, and malaria. He holds a Ph.D. in Biochemistry from The Ohio State University (2009). His work emphasizes understanding antibody lineage dynamics and their role in protective immunity. Key research areas include: Antibody structure-function relationships Vaccine efficacy evaluation through antibody repertoire analysis Mechanisms of immune imprinting in viral infections Development of novel antibody discovery platforms Recent studies highlight his team’s contributions to SARS-CoV-2 immunity, including hybrid immunity mechanisms and antibody recognition of non-RBD spike epitopes. Collaborations with institutions like the Baric Lab and McLellan Lab have advanced vaccine design and pathogen-specific immune profiling. Lavinder’s lab is affiliated with the Georgiou group, focusing on antibody engineering and proteomic approaches. His work bridges chemical engineering principles with immunology, enabling quantitative insights into humoral immune responses.

Gaurav Chopraمشاهده پروفایل

استاد

• Artificial Intelligence
• Immunology
• Neurodegeneration
• +۷ مورد دیگر

Gaurav Chopra is the James Tarpo Jr. and Margaret Tarpo Professor of Chemistry at Purdue University, part of the College of Science's Department of Chemistry. His research integrates artificial intelligence (AI), experimental chemistry, and immunology to develop novel therapies for cancer and neurodegenerative diseases, with a focus on lipidomics and immunomodulation. His lab pioneered AI-driven drug discovery platforms, including the MINT virtual reality game for molecular visualization and the 'AI co-pilot' infrastructure for automated experiments. Education: Ph.D. in Computational Mathematics, Stanford University (2010) M.S. in Scientific Computing, Stanford University (2005) B.Tech in Mechanical Engineering, Indian Institute of Technology Delhi (2002) Research interests include AI in drug discovery, lipidomics, immunotherapy, and neuroimmunology. Chopra’s lab has developed tools such as single-cell lipidomics, targeted drug design, and AI-enhanced mass spectrometry. His work emphasizes translational research, bridging basic science with clinical applications in cancer and Alzheimer’s disease. Notable achievements include the 2024 Scialog Fellowship, leadership in the Merck-Purdue Center, and multiple NIH awards. He has mentored over 20 students and postdocs, fostering a diverse, inclusive lab environment. Chopra’s outreach initiatives include K-12 science education through virtual reality games and open-source software like GitHub repositories for AI-driven drug discovery. Grants and collaborations include partnerships with Indiana companies (via AnalytiXIN Fellowships) and federal funding through the NIH HEAL Initiative. His lab’s infrastructure includes advanced facilities for molecular modeling, high-throughput screening, and AI integration.

Paige Brooksمشاهده پروفایل

دانشیار

• Machine Learning
• Probabilistic Programming
• Generative Models
• +۵ مورد دیگر

Paige Brooks is an Associate Professor at the University College London AI Centre and a Turing Fellow at the Alan Turing Institute. She specializes in interpretable machine learning, probabilistic programming, and generative models with applications in environmental science and chemistry. Her work includes seasonal Arctic sea ice forecasting and molecular synthesis pathway modeling. Brooks holds a DPhil from the University of Oxford and has contributed to foundational research in Bayesian inference and sequential Monte Carlo methods. Research highlights include collaborations on Arctic ice prediction with the British Antarctic Survey and development of the Molecule Chef framework for generating novel chemical compounds. She is also a statistical ambassador for the Royal Statistical Society, emphasizing ethical and transparent AI practices. Education: DPhil in Machine Learning at University of Oxford (under Frank Wood) Key Contributions: Probabilistic programming frameworks, interpretable ML, environmental AI Affiliations: Alan Turing Institute (Turing Fellow), Royal Statistical Society Her research spans theoretical advances in generative models and practical applications in domains like climate science and drug discovery. Recent work emphasizes model reliability and generalization in dynamic environments. Scientific Awards: Turing Fellowship, Royal Statistical Society Statistical Ambassador Labs/Teams: UCL AI Centre, Turing Institute's Environmental AI group

• Biomedical imaging
• Biophotonics
• Computational bioengineering
• +۳ مورد دیگر

Hongqiang Ma is a Research Assistant Professor in the Department of Bioengineering at the University of Illinois Urbana-Champaign (UIUC), part of the Grainger College of Engineering. He holds a B.S. (2009) and Ph.D. (2014) in Biomedical Engineering from Huazhong University of Science and Technology in Wuhan, China. Prior to UIUC, he served as a Research Assistant Professor at the University of Pittsburgh (2017–2023). His research focuses on biomedical imaging , biophotonics , and computational bioengineering , with specialties in super-resolution microscopy, single-molecule imaging, and quantitative phase imaging. He has developed innovative imaging platforms for high-throughput analysis of cellular dynamics, chromatin structure, and tissue microenvironments. His work emphasizes drift-free imaging methods, artifact minimization, and multimodal integration of optical systems. Notable contributions include the Omni-Mesoscope for multiscale imaging and WindSTORM for real-time nanoscopy processing. His research has applications in cancer pathogenesis, immunology, and spatial biology. Ma’s lab is based in the Everitt Lab at UIUC, where he collaborates on advancing biomedical imaging technologies for clinical and research applications. Ma has published extensively in top journals such as Nature Biomedical Engineering and Light: Science & Applications , focusing on imaging systems, algorithm development, and biomedical applications. Though no formal awards are listed, his work reflects impactful contributions to microscopy innovation. He currently advises no recorded students but collaborates on grant-funded projects related to imaging technology development.

• Semiconductor Nanostructures
• Exciton Dynamics
• Single-Molecule Spectroscopy
• +۳ مورد دیگر

Richard Loomis is Professor of Chemistry at Washington University in St. Louis, where his research focuses on molecular-level interrogation of reaction dynamics and quantum effects in nanomaterials. His laboratory combines advanced spectroscopic methods with materials synthesis to investigate fundamental processes in semiconductor nanostructures and bimolecular interactions. Research thrusts include: Charge carrier and exciton dynamics in quantum-confined semiconductors Ultrafast spectroscopy of nanostructures with varying dimensionality Bimolecular reaction dynamics in van der Waals complexes Coherent control of photochemical processes He has received notable awards including the Packard Fellowship and ACS Saint Louis Section Award. His group develops innovative characterization tools including single-nanostructure microscopy and velocity-map imaging of reaction products.

Peter Rosskyمشاهده پروفایل

استاد

• Theory & Computation
• Spectroscopy & Imaging
• Chemical Dynamics
• +۳ مورد دیگر

Peter Rossky is the Harry C. & Olga K. Wiess Chair in Natural Sciences and a Professor of Chemistry at Rice University. He is a Member of the National Academy of Sciences (NAS). His research focuses on theory and computation, spectroscopy and imaging, with a strong emphasis on chemical dynamics in condensed phases. Rossky’s work spans molecular-level studies of nanomaterials, quantum mechanical processes, and the development of novel computational methods for predicting material properties and spectroscopic behavior. His recent contributions include advancements in machine learning models for molecular dynamics, nanocrystal ligand configurations, and structural disorder effects in organic photovoltaic materials. His research interests include the interplay between molecular structure and function, particularly in contexts such as solvation dynamics, plasmon-induced electron transfer, and the design of optoelectronic polymers. Rossky has pioneered methods to bridge quantum mechanics and classical simulations for studying complex systems. His recent publications highlight innovations in spectroscopic prediction, nanomaterial characterization, and the theoretical underpinnings of energy transfer mechanisms in organic semiconductors. Key Themes in Publications: Machine learning-driven models for material property prediction Nanocrystal surface chemistry and ligand dynamics Singlet fission and exciton dynamics in organic materials Plasmon-generated electron dynamics in nanoscale systems Interfacial phenomena in hydrophobic and hydrophilic environments Rossky’s awards reflect his scientific impact, including NAS membership and sustained contributions to theoretical and computational chemistry. His work bridges fundamental science and applied materials research, addressing challenges in energy, nanotechnology, and biophysics.

Boris Yakobsonمشاهده پروفایل

استاد

• Nanotechnology
• Quantum Materials
• Condensed Matter Physics
• +۷ مورد دیگر

Boris Yakobson is the Karl F. Hasselmann Chair in Engineering at Rice University, holding joint appointments in the Department of Materials Science and NanoEngineering and the Department of Chemistry within the George R. Brown School of Engineering. His research focuses on theoretical and computational studies of nanomaterials, including carbon nanotubes, graphene, and 2D materials, with applications in energy, electronics, and quantum systems. Education: Ph.D. in Chemical Physics (1982, Russian Academy of Sciences) and B.S. in Physics & Applied Mathematics (1976, Novosibirsk University). Research interests include nanotube mechanics, quantum materials, ferroelectric 2D materials, and corrosion science. Notable contributions include pioneering work on nanotube properties and the discovery of novel 2D materials like borophene. Awards include the 2019 Outstanding Faculty Research Award from Rice University and the 2008 Nano 50 Innovator Award. Advising and grants: Advised doctoral students like Nicholas Tjahjono, whose work supports NASA’s Artemis mission. Collaborates on projects funded by agencies such as NASA and the Department of Energy. Labs/Teams: Leads the Yakobson Research Group, conducting computational and theoretical studies on nanomaterials. Active in editorial roles, including the Journal of Nanoparticle Research.