جست‌وجوی استاد و پژوهشگر

David K. Cortezمشاهده پروفایل

استاد

• DNA Damage Response
• Genome Integrity
• DNA Repair
• +۷ مورد دیگر

David K. Cortez is Professor of Biochemistry and Chair of the Department of Biochemistry at Vanderbilt University School of Medicine. He also holds the Richard N. Armstrong Ph.D. Chair for Innovation in Biochemistry and serves as Associate Director for Basic Science Research at the Vanderbilt-Ingram Cancer Center. His research is centered on genome maintenance, DNA damage response, and replication stress mechanisms. Institution: Vanderbilt University School: School of Medicine Department: Department of Biochemistry Leadership: Chair of Biochemistry, Associate Director (Basic Science), VICC Contact: david.cortez@vanderbilt.edu | 615-322-8547 | 613 Light Hall, Nashville, TN Dr. Cortez's research focuses on understanding how cells maintain genome integrity during DNA replication and in response to DNA damage. His work integrates genetics, biochemistry, cell biology, proteomics, and structural biology to dissect mechanisms involving ATR kinase signaling, replication fork remodeling, BRCA-related pathways, abasic site repair, and proteolysis . These processes are crucial for preventing cancer, developmental disorders, and aging. The 15 most recent publications highlight a consistent focus on DNA damage signaling, replication fork dynamics, and repair mechanisms . Key themes include the use of iPOND for proteomic mapping , fork regression and protection , ATR-mediated checkpoint control , and therapeutic targeting of DNA repair pathways in cancer. Subfields span molecular oncology, signal transduction, and structural enzymology. Scientific recognition includes: Richard N. Armstrong Ph.D. Chair for Innovation in Biochemistry Dr. Cortez leads an active research program with ongoing postdoctoral recruitment, indicating strong grant support and mentoring activity. His lab is embedded in multiple interdisciplinary centers, including the Genome Maintenance Program (Vanderbilt-Ingram Cancer Center), Vanderbilt Institute of Chemical Biology, and Center in Molecular Toxicology , reflecting broad collaborative and funding networks. He advises graduate and postdoctoral researchers in molecular cancer biology and DNA repair. Future work continues to explore therapeutic vulnerabilities in DNA repair-deficient cancers. The Cortez Lab maintains a strong presence in both basic and translational research, with ongoing projects aimed at identifying novel repair proteins, characterizing fork protection mechanisms, and developing cancer therapies targeting the DNA damage response. The lab utilizes cutting-edge techniques such as genetic screens, iPOND, structural biology, and preclinical models.

Malcolm Perryمشاهده پروفایل

استاد

• Black Hole Physics
• Quantum Gravity
• String Theory
• +۴ مورد دیگر

Malcolm Perry is a Professor of Theoretical Physics at Queen Mary University of London, previously holding a professorship at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics. He is a Fellow of Trinity College, Cambridge, and a member of the Centre for Fundamental Physics and the Relativity and Gravitation research group. His research focuses on black hole physics, quantum gravity, string theory, and cosmology. Perry's work includes the Myers-Perry metric (with Robert Myers) and significant contributions to resolving the black hole information paradox with Stephen Hawking and Andrew Strominger. He has received awards from the Gravity Research Foundation and the Sloan Research Fellowship. Education: King Edward’s School, Birmingham Bachelor's in Physics, St John’s College, Oxford PhD in Theoretical Physics (supervised by Stephen Hawking), King’s College, Cambridge Research Interests: Perry advances understanding of black hole thermodynamics, gravitational waves, and the interplay between quantum mechanics and general relativity. His work spans Euclidean quantum gravity, soft hair conjectures, and higher-dimensional spacetime models in string theory. Grants & Collaborations: Perry co-leads the Amplitudes, Strings and Duality grants (STFC-funded), collaborating with experts like Andreas Brandhuber and David Berman. These projects explore string theory and gauge/gravity dualities. Awards: Gravity Research Foundation Award Sloan Research Fellowship Labs/Teams: Perry contributes to Queen Mary's Centre for Fundamental Physics and the Relativity and Gravitation group, advancing interdisciplinary research in theoretical physics.

Eileen K. Bridgeمشاهده پروفایل

دانشیار

• Virology
• Molecular Biology
• Cell Biology
• +۷ مورد دیگر

Eileen K. Bridge is an Associate Professor in the Department of Microbiology at Miami University, where she is affiliated with the Cell, Molecular and Structural Biology Graduate Program. Her research and teaching are centered on virology, molecular biology, and host-pathogen interactions. Ph.D. in Biology, Johns Hopkins University (1990) B.A. in Natural Science, Bennington College (1981) Her research interests lie at the intersection of virology and cellular molecular mechanisms, focusing on how adenovirus manipulates the host's DNA damage response to facilitate replication. This work has implications for cancer biology, particularly in developing strategies to sensitize cancer cells to chemotherapy and radiation. She investigates viral regulation of ATM and DNA-PK pathways, viral DNA replication, and the role of early viral proteins in gene expression and cell cycle control. The analysis of her recent publications (2022–2000) reveals a sustained focus on adenovirus early region 4 (E4) mutants and their impact on host DNA damage responses, cell cycle arrest, and viral gene expression. The studies employ molecular, cellular, and imaging techniques to dissect kinase signaling (ATM, DNA-PK), viral replication centers, and nuclear organization of RNA and splicing factors. These works collectively contribute to understanding viral hijacking of cellular machinery and potential oncolytic applications. Her scientific contributions are reflected in numerous peer-reviewed publications in journals such as Virology , Journal of Virology , and Experimental Cell Research . While specific awards are not listed, her long-standing research program and publication record indicate significant scholarly impact. Dr. Bridge has advised numerous students and researchers, as evidenced by her collaborative publications. She teaches a wide range of courses including MBI 255 (Modern Microbiology Applications), MBI111 (Microorganisms and Human Disease), and advanced seminars in molecular biology and virology. She also contributes to graduate training through seminars in microbiology and molecular biology. Her laboratory appears to focus on viral-host interactions using adenovirus as a model system, with an emphasis on DNA damage response modulation, nuclear organization of viral replication, and RNA processing. The team employs techniques such as fluorescence in situ hybridization, immunostaining, and molecular virology assays.

Jim Halversonمشاهده پروفایل

دانشیار

• String Theory
• Particle Physics
• Cosmology
• +۲ مورد دیگر

Jim Halverson is an Associate Professor of Physics at Northeastern University in Boston, Massachusetts. His research bridges string theory , particle physics , cosmology , mathematical geometry , and deep learning . He serves as a co-PI and Board Member of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) and co-organizes Physics ∩ ML . Halverson holds a PhD in Physics from the University of Pennsylvania (2012) and completed postdoctoral work at the Kavli Institute for Theoretical Physics (2012-2015). His research focuses on the string landscape and its implications for physics beyond the Standard Model, particularly through the lens of extra-dimensional geometries . He has pioneered the integration of deep learning into theoretical physics, applying it to problems in quantum field theory , knot theory , and cosmological model inference . Halverson has organized numerous workshops, including String Phenomenology and IAIFI Summer Schools , and serves on the editorial board of Machine Learning: Science and Technology . Halverson’s recent publications highlight neural network applications to conformal symmetry , Kolmogorov-Arnold networks , and geometric problems in string theory . His work intersects physics , mathematics , and machine learning to explore fundamental questions in cosmology and quantum gravity. He has received the NSF CAREER Grant and DOE Graduate Fellowship , underscoring his contributions to both research and education. Halverson teaches graduate courses in quantum mechanics and quantum field theory at Northeastern University.

Scott Schaeferمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Mesh Processing
• +۴ مورد دیگر

Scott Schaefer is a Professor and Department Head of the Department of Computer Science & Engineering at Texas A&M University, holding the Lynn '84 and Bill Crane '83 Department Head Chair. He leads research in computer graphics, geometric modeling, and computational geometry, with significant contributions to mesh processing, parameterization, and barycentric coordinates. Education: B.S. in Computer Science and Mathematics from Trinity University (2000) M.S. in Computer Science from Rice University (2003) Ph.D. in Computer Science from Rice University (2006) Dr. Schaefer's research focuses on geometric modeling, computer graphics, and computational geometry. His work primarily addresses mesh processing, surface parameterization, barycentric coordinates, and curve design. He has developed innovative techniques for mesh denoising, point cloud processing, texture filtering, and bijective parameterization. His research often combines theoretical foundations with practical applications in computer graphics and visualization. His work has significant implications for 3D modeling, animation, and geometric data processing. His recent publications demonstrate a strong focus on geometric processing using optimization techniques like L0 minimization, advanced parameterization methods, and novel barycentric coordinate systems. His work spans from theoretical foundations of geometric representations to practical applications in mesh processing and texture mapping. A consistent theme is developing mathematically sound methods that preserve geometric features while optimizing for computational efficiency. Scientific Awards: Best Paper Award at SGP for "A Family of Barycentric Coordinates for Co-Dimension 1 Manifolds with Simplicial Facets" Third Best Paper Award for "Isometry-Aware Preconditioning for Mesh Parameterization" Best Paper Award for "Wavelet Rasterization" NSF CAREER Award TEES Research Impact Award Associate of Former Students Distinguished Achievement Award in Teaching SEC Academic Leadership Development Program Fellow Dr. Schaefer has advised numerous graduate students including Anshul Mendiratta (current), and former students such as Zhipei Yan (Nvidia), Jason Smith (Schlumberger), Lei He (Microsoft), Josiah Manson (Activision Research), Eric Landreneau (Blizzard Entertainment), Mayank Singh (University of Wisconsin La Crosse), and Kuiyu Li (Intel). His research has been supported by significant grants including the NSF CAREER Award, which represents the National Science Foundation's most prestigious award in support of early-career faculty. While specific lab information isn't detailed in the provided text, Dr. Schaefer appears to lead a research group focused on geometric modeling and computer graphics at Texas A&M University, with collaborations across institutions as evidenced by his co-authored publications with researchers from various organizations.

Daniel Plattمشاهده پروفایل

پژوهشگر ارشد

• Geometric Analysis
• Machine Learning
• Differential Geometry
• +۲ مورد دیگر

Daniel Platt is an Imperial College Research Fellow in Pure Mathematics at Imperial College London, based in the Huxley Building (room 608). His research bridges geometric analysis and machine learning, with affiliations to the geometry group and London Geometric Analysis Reading Seminar. He completed his PhD at Imperial under Jason Lotay (University of Oxford) and Sir Simon Donaldson, following prior postdoctoral work at King's College London under Richard Thomas and Toby Wiseman. Platt's educational background includes: PhD in Mathematics from Imperial College London supervised by Jason Lotay and Sir Simon Donaldson His research focuses on geometric structures in theoretical physics and machine learning. Key areas include G2/Spin(7) instantons, K3 surfaces, black hole uniqueness theorems, and group-invariant learning architectures. This interdisciplinary work combines differential geometry with computational methods to solve problems in mathematical physics and data science. Platt's 13 publications (2020-2025) reveal a dual trajectory: geometric analysis dominates (8 papers on G2/Spin(7) geometry, K3 surfaces, and black holes), while machine learning contributions (3 papers) emphasize symmetry-preserving architectures. Collaborative work spans institutions including Oxford, King's College London, and international partners, with publications in Communications in Mathematical Physics and NeurIPS. Scientific recognition: Imperial College Research Fellowship (prestigious competitive award) Platt supervises undergraduate research projects (UROP) and master's theses (MSc, M2R, M3R, M4R), currently advising one MSc student for 2024-25. His research is fully funded by the Imperial College Research Fellowship, eliminating grant application requirements. Teaching includes the Complex Manifolds course with detailed online materials. Platt actively participates in the geometry group at Imperial College London, collaborating with Richard Thomas, Toby Wiseman, and Anthea Monod. His research website hosts expository materials on differential geometry and machine learning for mathematicians, reflecting his commitment to interdisciplinary knowledge transfer.

• Quantum Computing
• Machine Learning
• Theoretical Computer Science
• +۳ مورد دیگر

Daattavya Aggarwal is a Research Fellow at the University of Cambridge's Department of Computer Science and Technology. His work focuses on interdisciplinary research spanning quantum computing, machine learning, and theoretical computer science. He explores applications of topology in computational frameworks and quantum algorithm development. Key areas include quantum circuit optimization, quantum information processing, and foundational studies in quantum systems. His recent publications (2018–2025) highlight contributions to quantum scrambling dynamics, topological machine learning, and IBM quantum computing architectures. Collaborative work with industry partners like IBM underscores his applied research focus. Aggarwal maintains an active presence in the academic community through publishing and contributes to advancing quantum technologies and their ethical implications. No scientific awards or grants are explicitly listed in the provided materials. He advises no current students but is likely involved in supervision given his research profile. His office is located in Room FE08 of the William Gates Building.

• Analytical Chemistry
• Mass Spectrometry
• Protein Chemistry
• +۲ مورد دیگر

Kenneth R. Hess is a Professor of Chemistry currently affiliated with an unspecified institution. His research focuses on the application of liquid chromatography–mass spectrometry (LC-MS) to solve analytical chemistry problems, including verification of unnatural amino acid incorporation in proteins, intact protein analysis, and small molecule confirmation. He collaborates with the Clinic for Special Children in Strasburg, PA, on clinical aspects of GM3 synthase deficiency, a rare genetic disorder. Education : B.A. from Gettysburg College, Ph.D. from the University of Virginia Research Interests : Dr. Hess specializes in developing advanced LC-MS methods for protein and clinical research, utilizing a Waters Acquity H series UHPLC coupled to a Xevo G2-S Q-TOF mass spectrometer. His work bridges analytical chemistry, biochemistry, and clinical diagnostics through innovative collaborations. Publications : His research spans protein engineering, environmental chemistry, and educational tools. Key trends include fluorescence spectroscopy, FRET analysis, and acid rain impact studies. Teaching : He teaches foundational courses such as General Chemistry I (CHM 111), General Chemistry II (CHM 112), and Chemical Analysis (CHM 221), integrating practical lab experiences with theoretical concepts.

Kevin Giovanettiمشاهده پروفایل

استاد

• Particle Physics
• Nuclear Physics
• Experimental Physics
• +۳ مورد دیگر

Kevin Giovanetti is a Professor in the Department of Physics & Astronomy at James Madison University (JMU), where he has been since 1989. His research focuses on fundamental physics, including nucleon structure, muon properties, and particle interactions through collaborations like CLAS, MuLan, and g2. He leads experimental efforts to explore quark-gluon dynamics and weak interaction phenomena. Education: PhD in Experimental Physics, 1982, College of William and Mary MS in Physics, 1976, College of William and Mary BS in Physics, 1974, Lowell Technological Institute Research interests emphasize precision measurements of particle properties, such as the muon lifetime (MuLan collaboration) and nucleon structure (CLAS collaboration). Recent work includes studies on high-momentum protons in neutron-rich nuclei and advanced detector technologies like PbF2 Cherenkov crystals with SiPM readout. His contributions include groundbreaking findings published in Physical Review Letters and Nature . He is affiliated with JMU’s Madison Accelerator Lab and John C. Wells Planetarium, leveraging these facilities for cutting-edge experiments and public outreach.

Beverly S. Chiltonمشاهده پروفایل

استاد

• Transcription factors
• Reproductive biology
• Colon cancer
• +۳ مورد دیگر

Beverly S. Chilton is a Professor in the Department of Cell Biology and Biochemistry at Texas Tech University Health Sciences Center. With a Ph.D. in Zoology from the University of Tennessee, Knoxville, her research focuses on the role of helicase-like transcription factors (HLTF/Hltf) in reproduction and colon cancer. Education: Ph.D. in Zoology, University of Tennessee, Knoxville Her work explores: Mechanistic roles of Hltf in extracellular matrix regulation and tumor suppression Transcriptional networks in placental development and fetal pancreas function Jak/RUSH signaling pathways as alternatives to canonical Jak/STAT mechanisms Recent publications highlight Hltf's functions in: Collagen biogenesis and cardiac development G2/M cell cycle transition regulation Progesterone-prolactin synergistic effects on gene expression Her laboratory employs techniques including: Cyclic amplification and selection of targets (CASTing) Chromatin immunoprecipitation (ChIP) Electrophoretic mobility shift assays (EMSA)

Martin H. Weissmanمشاهده پروفایل

استاد

• Mathematics
• Number Theory
• Algebraic Number Theory
• +۵ مورد دیگر

Martin H. Weissman is a Professor in the Department of Mathematics at UC Santa Cruz. His work bridges pure mathematics with interdisciplinary applications, earning him recognition as a Guggenheim Fellow in 2020. Teaching roles include graduate and remote courses in Advanced Linear Algebra, Calculus with Applications, and Algebraic Number Theory. He has contributed to course design for Programming for Mathematics and coordinated Scientific Inquiry courses with team teaching. Research focuses on Number Theory, Representation Theory, Modular Forms, and Automorphic Representations. His recent work explores metaplectic groups, Coxeter arrangements, and mathematical biology. Scientific awards include the prestigious Guggenheim Fellowship (2020). His publications span algebraic structures, automorphic forms, and interdisciplinary collaborations. Weissman has engaged in academic service through course coordination, remote teaching, and educational outreach. His unpublished correspondence with Deligne and computational projects highlight his collaborative and experimental approach to mathematics.

John C. DiCesareمشاهده پروفایل

استاد

• Organic Chemistry
• Medicinal Chemistry
• Materials Chemistry
• +۷ مورد دیگر

John C. DiCesare is an Associate Department Chair and Professor in the Department of Chemistry at Georgia Southern University, with affiliations to the Center for Advanced Materials Science and the Sustainable Fuels Research Network. Previously, he served as Department Chair at Georgia Southern University and held roles at The University of Tulsa and Research Triangle Institute. Education: B.S. in Chemistry from University of Central Florida (1987) Ph.D. in Organic Chemistry from Georgia Institute of Technology (1992) Postdoctoral Fellowship in Medicinal Chemistry at Research Triangle Institute (1993) Dr. DiCesare's research spans three decades, focusing on Organic, Medicinal, and Materials Chemistry. His work includes synthesizing anti-cancer compounds, developing molecularly imprinted polymers for nerve agent detection, and creating TiO2/SiO2 catalysts for NASA's water purification systems. Current projects explore carbon nanotube functionalization and titanium reagents in asymmetric synthesis. Recent publications highlight interdisciplinary impacts in Polymer Science, Biochemistry, and Environmental Chemistry. Key trends include the development of visible-light photocatalysts, studies on bioluminescence inhibition, and novel educational resource initiatives in organic chemistry. Collaborations extend to Iowa State University and institutions across multiple scientific disciplines. Grants & Projects: NASA-funded environmental catalyst development Army-sponsored nerve agent sensor research Multiple industry software grants (CambridgeSoft, Teledyne Isco) Merck-funded biological metabolite analysis

• Structural Biology
• Biophysics
• Cell Adhesion
• +۳ مورد دیگر

Oliver J. Harrison is a dedicated researcher specializing in structural biology and cell adhesion mechanisms, with affiliations to Biochemistry departments. His work focuses on understanding the molecular and biophysical principles governing cadherin interactions, protein glycosylation pathways, and intercellular adhesion dynamics. Education: PhD from Cambridge University/Babraham Institute; BSc (Hons) from Durham University. Research interests include: Structural analysis of classical and non-classical cadherins Computational modeling of adhesion under mechanical stress O-mannosylation mechanisms in cell adhesion proteins Biophysical characterization of protein-binding specificity Role of adhesion molecules in tissue morphogenesis Intercellular cargo transfer via nectins His publications from 2005-2021 demonstrate expertise across structural biology, computational modeling, and biochemical pathways. Notable collaborations include labs working on cell adhesion, neurobiology, and vascular biology. Despite no explicit awards listed, his high-impact publications in journals like Cell Reports , Biophysical Journal , and Nature Structural & Molecular Biology indicate significant scientific contributions.

Larry A. Curtissمشاهده پروفایل

استاد پژوهشی

• Computational Chemistry
• Quantum Chemical Methods
• Battery Research
• +۶ مورد دیگر

Larry A. Curtiss is an Argonne Distinguished Fellow in the Materials Science Division at Argonne National Laboratory, operated by UChicago Argonne, LLC under contract with the University of Chicago. With over 540 publications spanning five decades, his research has profoundly impacted computational chemistry and energy storage technologies. His career began with a PhD from Carnegie-Mellon University in 1973 under Nobel laureate John Pople, followed by positions at Battelle Memorial Institute (1973-1976) before joining Argonne in 1977. Curtiss's research focuses on computational chemistry, particularly the development of quantum chemical methods (G1, G2, G3, and G4 theories) and their application to materials science problems. His work has significantly advanced understanding of battery systems, especially lithium-ion, lithium-oxygen, and lithium-sulfur technologies. Recent research emphasizes computational studies of electrolyte design, anode materials, and reaction mechanisms in next-generation energy storage systems. His publication record shows consistent productivity through 2025, with recent work exploring superoxide-based batteries, liquid organic hydrogen carriers, and multiscale modeling approaches. Curtiss has received significant recognition including being named an Argonne Distinguished Fellow and listed as a Highly Cited Researcher in Chemistry by ISI. His work has practical applications with more than 5 patents to his name. He has made substantial contributions to understanding fundamental reaction mechanisms in catalysis and energy storage, with particular emphasis on computational approaches that bridge molecular-level understanding with macroscopic battery performance.

William Gillilandمشاهده پروفایل

استاد

• Genetics
• Meiosis
• Chromosome Biology
• +۳ مورد دیگر

William Gilliland is a Professor of Genetics in the Department of Biological Sciences at DePaul University's College of Science and Health. He joined the DePaul faculty in Fall 2009 and has established himself as a prominent researcher in the field of Drosophila genetics and meiosis. Dr. Gilliland's research focuses on chromosome segregation during female meiosis in Drosophila melanogaster. He investigates how homologous chromosomes coorient prior to the reductional first meiotic division, using genetic and cytological techniques to determine how often errors occur during meiosis and to identify what events cause those errors. His laboratory specifically studies the mechanisms of chromosome movement during prometaphase and the effects of mutants in the cell cycle control protein altered disjunction (ald), the fly homolog of the yeast protein mps1. His research program combines experimental matings and progeny analysis with tissue fixation, labeling, and fluorescent microscopy techniques, utilizing the department's confocal microscope for advanced imaging. His extensive publication record from 2005-2015 demonstrates consistent focus on meiosis, chromosome segregation, and Drosophila genetics. His most recent work examines fine-scale heterogeneity in crossover rates, behavior of aberrant chromosome configurations, and the segregation of foreign-species chromosomes during female meiosis. His research has been published in high-impact journals including Genetics, PLoS Genetics, and G3: Genes, Genomes, Genetics, often in collaboration with researchers like R.S. Hawley. Dr. Gilliland teaches several courses including General Biology (Bio 191) in Fall Quarter, Genetics (Bio 260) in Winter Quarter, Advanced Genetic Analysis (Bio 362) in Spring Quarter, and The Science of Beekeeping (Bio 140) in Spring Quarter. His laboratory maintains an online presence at http://condor.depaul.edu/wgillila/Gilliland_Lab/Lab_Home.html where additional resources about Drosophila genetics, marker images, and laboratory protocols are available. His notable work on gynandromorphs (individuals with both male and female tissues) provides unique insights into sex determination mechanisms in Drosophila.