Research labs across colleges and universities

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Browse faculty research, publications, teams, and contact details. Unclaimed listings are independently curated from public sources and do not imply endorsement or recruiting availability.

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541 research-led lab profiles

Browse labs by their listed college affiliation
Portrait of Marc A. SommerIndependently curated · Unclaimed
Neurobiology↗

Marc A. Sommer Research Group

Duke University

Marc A. Sommer · Professor of Biomedical Engineering

How do frontal cortex circuits coordinate with other brain areas to enable stable visual perception and behavior? The lab studies circuits for corollary discharge and their impact on visual processing using psychophysics, neural recordings, and computational robotics. Researchers apply single-neuron and population-level electrophysiology, optogenetics and genetic methods to dissect circuit function in behaving animals. The group tests and improves viral vector technologies for reliable gene delivery in non-human primates using directed evolution and serotype comparisons. The lab studies effects of transcranial magnetic stimulation on single neurons and circuits to establish principles for rational clinical design.

systems neurosciencesensorimotor circuitscomputational modeling
Portrait of Marc H. CaffeeIndependently curated · Unclaimed
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Marc H. Caffee Research Group

Purdue University West Lafayette

Marc H. Caffee · Professor of Physics

What can cosmogenic and radiogenic nuclide measurements reveal about surface exposure, erosion, and planetary histories? The research applies stable- and radio-nuclide measurements to Quaternary landform evolution, cosmochronology, hydrology, and atmospheric processes. The group develops and improves techniques to measure new cosmogenic nuclides and enables expanded geochronologic constraints. Researchers operate and direct the PRIME Lab to produce cosmogenic nuclide data used for exposure dating and erosion-rate studies. Laboratory measurement development is combined with field sampling campaigns to address timescales of surface and planetary processes.

radiogenic isotopescosmogenic nuclidesplanetary science
MDIndependently curated · Unclaimed
Department of Mechanical and Aerospace Engineering↗

Marcelo Dapino Research Group

Ohio State University (Main campus)

Marcelo Dapino · Professor, Mechanical and Aerospace Engineering

How can smart materials and structures be designed and integrated to improve vehicle systems and add manufacturing capabilities? The Smart Materials and Structures Lab conducts experimental and theoretical studies in smart materials, system dynamics, ultrasonic additive manufacturing, and hybrid smart structure applications to develop component- and system-level solutions. Projects focus on integrating smart materials into transportation applications through NSF IUCRC Smart Vehicle Concepts Center collaborations and on ultrasonic additive manufacturing process development. The lab combines experiments, theory, and translational center activities to train PhD-level researchers and advance smart-structure incorporation in vehicles.

smart materialssystem dynamicsultrasonic additive manufacturing
RTIndependently curated · Unclaimed
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Marconi Laboratory

Virginia Commonwealth University

Richard T. Marconi · Professor

Marconi investigates how tick-borne pathogens cause disease and how their biology can support better vaccines and tests. His laboratory studies pathogenic spirochetes, including the organisms associated with Lyme disease, alongside virulence and gene regulation. A VCU research update describes work on Babesiosis diagnostics using selected regions of surface proteins combined into a chimeric peptide antigen. The aim is to support antibody detection in formats such as ELISA and lateral-flow tests. This group connects molecular mechanisms of infection with practical diagnostic design and vaccine research for human and veterinary health.

Tick-borne diseaseVaccine developmentDiagnostics
MBIndependently curated · Unclaimed
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Marguerite Butler Research Group

University of Hawai’i at Mānoa

Marguerite Butler · Professor

Why do animals take different forms, and what do those differences allow them to do? Butler studies the relationship between body design, environmental demands, and evolutionary history. A particular focus is sexual dimorphism: differences between females and males that affect function or ecology. Examining these differences offers a way to investigate the biological meaning of variation in form. Her research connects animal functional morphology with adaptive evolution, asking how the shapes organisms inherit and the pressures they encounter together influence their ecological roles.

Functional morphologyAdaptive evolutionSexual dimorphism
MZIndependently curated · Unclaimed
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Marija Zanic Research Group

Vanderbilt University

Marija Zanic · Professor of Cell and Developmental Biology

How do groups of regulatory proteins control microtubule switching between growth and shrinkage in cells? The group performs biochemical in vitro reconstitution to test molecular-level polymer dynamics in controlled assays. Researchers combine single molecule studies and quantitative image analysis to measure mechanisms of microtubule regulation by associated protein complexes. The lab develops quantitative, predictive models of molecular-level polymer dynamics and tests them experimentally to reveal emergent collective behaviors. The group pairs in vitro reconstitution with structural biology and live-cell studies to connect molecular mechanisms to large-scale dynamic cellular structures.

microtubulesmicrotubule dynamicsbiophysical reconstitution
MCIndependently curated · Unclaimed
Earth Sciences↗

Marisa C. Palucis Research Group

Dartmouth College

Marisa C. Palucis · Associate Professor of Earth Sciences

What was the timing and duration of water flow on Mars? The research group measures timing and duration of past aqueous flows on Mars by integrating field sedimentology with crater and stratigraphic constraints. The research group combines sedimentological, topographic, and climatic datasets with physical experiments to bridge particle- to landscape-scale processes. The research group conducts physical experiments and modeling to test mechanisms controlling channel morphology and sediment transport rates in steep streams. The research group investigates how and where debris flows initiate to constrain hazard processes and paleoenvironmental interpretation.

planetary geologyMarssedimentology
MAIndependently curated · Unclaimed
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Mark A. Peifer Research Group

University of North Carolina at Chapel Hill

Mark A. Peifer · Michael Hooker Distinguished Professor

How does the cell adhesion–cytoskeleton machinery coordinate tissue architecture during development and tumor formation? The lab uses Drosophila genetics and cultured human colon cells to dissect how APC regulates Wnt signaling and the cytoskeleton. Researchers combine confocal live-imaging and fluorescently-tagged proteins to visualize junction–cytoskeleton dynamics during morphogenetic events such as dorsal closure. The group interrogates destruction-complex assembly and APC’s catalytic cycle to explain regulated ß-catenin stability in Wnt signaling. They investigate centrosome functions, mitotic fidelity regulators, checkpoints and apoptosis to understand genome stability mechanisms in epithelial cells.

cell adhesioncytoskeletonWnt signaling
MDIndependently curated · Unclaimed
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Mark Dredze Research Group

Johns Hopkins University

Mark Dredze · John C. Malone Professor

How can natural language processing of social media and clinical text detect and monitor public health outcomes in real time? The group develops artificial intelligence systems that apply statistical models of language to social media analysis for public health surveillance. Researchers design and evaluate statistical methods for information extraction addressing syntax, semantics, sentiment, and spoken language processing tasks. They build new clinical natural language processing methods to analyze medical records for applications in clinical informatics and medicine. Applications studied include tobacco control, vaccinations, infectious disease surveillance, mental health, drug use, and gun violence prevention using AI-based language models.

natural language processingmachine learningpublic health informatics
Portrait of Mark F. BockoIndependently curated · Unclaimed
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Mark F. Bocko Research Group

University of Rochester

Mark F. Bocko · Professor

How can signal processing and device design improve audio displays, sensing, and low-noise detection of weak signals? The group develops flat-panel loudspeakers, spatial audio displays, and models for room impulse responses using acoustic signal processing and modal analysis. Researchers create sensitive sensors and transducers including capacitive displacement sensors and non-contact ECG electrodes by combining analog readout with direct-to-digital conversion techniques. The team investigates superconducting digital electronics and Josephson junction circuits for high-frequency digital signal processing and quantum-coherent measurements. Ongoing projects include audio source separation, music transcription, and model-based musical sound synthesis reported in recent publications.

Audio and acoustic signal processingSensors and transducersSuperconductivity
MTIndependently curated · Unclaimed
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Mark T. Swihart Research Group

University at Buffalo

Mark T. Swihart · SUNY Distinguished Professor

Nanoparticles can perform useful functions, but their properties depend on how they are made and modified. Swihart’s group studies nanoparticle synthesis, functionalization, and applications, using chemical engineering to understand preparation processes. Research connects chemical kinetics, thermodynamics, and transport phenomena with the behavior of reacting flows. These interests link the chemistry of materials to methods for controlling their production. The group investigates nanoscale materials through both process understanding and application development, connecting fundamental engineering descriptions with the challenge of preparing useful particle systems.

Nanoparticle synthesisChemical kineticsReacting flows
Portrait of Marsha BergerIndependently curated · Unclaimed
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Marsha Berger Research Group

New York University (NYU)

Marsha Berger · Silver Professor of Computer Science and Mathematics

How can adaptive discretization and parallel computing efficiently resolve complex fluid dynamics across scales? The group develops adaptive mesh and solution-refinement techniques for computational fluid dynamics to capture multiscale flow features. Researchers design and analyze adaptive numerical methods that reduce discretization error while concentrating computational effort where needed. The team implements parallel scientific computing frameworks and domain-decomposition strategies to scale adaptive solvers on high-performance systems. They study algorithmic mechanisms that combine adaptivity with parallelization to accelerate convergence and enable large-scale CFD simulations.

computational fluid dynamicsadaptive methodsparallel scientific computing
MBIndependently curated · Unclaimed
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Mary Barbe Research Group

Temple University

Mary Barbe · Professor

Repetitive work can change tissues long before an injury becomes easy to see. Mary Barbe studies how repetition and force affect musculoskeletal and nervous systems, using a rat model of work-related overuse injury. Her research examines inflammation, fibrosis, tissue degeneration, and sensorimotor dysfunction, alongside possible interventions. A separate line of work investigates surgical approaches to bladder and urethral sphincter reinnervation after spinal root injury. These projects connect anatomy, neuroscience, and tissue pathology with specific questions about injury mechanisms and functional recovery.

Overuse injuryFibrosisSensorimotor function
Portrait of Matt KociIndependently curated · Unclaimed
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Matt Koci Research Group

North Carolina State University

Matt Koci · Professor

How does the gut immune system distinguish helpful microbes from pathogens and build resistance to infection? The group investigates cellular and molecular aspects of immune responses, including how animals recognize, respond to and eliminate infectious organisms. One research direction examines innate immune responses involved in astrovirus-associated intestinal disease and its resolution in turkey poults and humans. Another studies how inherited variation in innate immune genes changes susceptibility or resistance to infection. The lab also examines relationships between intestinal microbes, gut physiology and mucosal immunity to understand their contribution to animal health.

VirologyInnate immunityGut microbiome
MHIndependently curated · Unclaimed
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Matthew Hahn Research Group

Indiana University

Matthew Hahn · Distinguished Professor, Biology

How do natural selection and chance shape the differences recorded in genomes? The group uses genomic data to study organismal function and evolution within and between species. Research examines variation in DNA sequences, gene families and gene expression, considering the respective roles of selection and genetic drift. The program also develops approaches for detecting introgression and distinguishing its effects from differences in selection among genomic regions. Combining sequence information with expression data helps investigate how regulatory variation originates and which evolutionary forces influence it.

Evolutionary genomicsNatural selectionGene expression
MTIndependently curated · Unclaimed
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Maya Trotz Research Group

University of South Florida

Maya Trotz · Professor

How can coastal protection strengthen communities as well as ecosystems? Maya Trotz’s research connects environmental engineering, water quality, and community participation. Her coastal resilience work investigates equitable nature-based solutions, including coral reef and mangrove restoration, and how those ecosystems can work alongside built infrastructure. Projects consider physical protection from environmental hazards together with social and economic benefits for coastal communities. Her broader interests include protecting water sources and providing sustainable water systems, making the research a bridge between engineering design, environmental processes, and community priorities.

Coastal resilienceNature-based solutionsWater quality
DMIndependently curated · Unclaimed
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McCormick Lab

University of Oregon

David McCormick · Professor, Presidential Chair

What makes a brain ready to perform well at a particular moment? David McCormick investigates how animals gather sensory information, make decisions, and translate those decisions into action. His lab measures electrical brain activity and pupil size to examine how arousal relates to performance, and studies the circuits supporting efficient cortical responses. The research connects neural signaling with behavior and attention. The official lab page currently states that the group is not accepting new graduate students, a useful distinction when exploring possible advisors.

Brain statesDecision makingNeural circuits
JMIndependently curated · Unclaimed
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McLachlan Lab

Tulane University

James McLachlan · Associate Professor of Microbiology and Immunology

Why can immunity hold an infection in check without clearing it completely? James McLachlan studies antigen-specific CD4 helper T-cell responses during persistent bacterial infection, including a mouse model of chronic Salmonella. His group investigates antigen presentation and immunological memory, and uses peptide-MHC tetramers to follow rare T-cell populations. Related research examines how biological sex affects responses to infections and vaccines. These projects connect cellular immunology with the design of interventions that generate the right response in the right anatomical location.

T-cell immunitySalmonellaImmunological memory
Portrait of Md Rayhanur RahmanIndependently curated · Unclaimed
Department of Computer Science↗

Md Rayhanur Rahman Research Group

The University of Alabama

Md Rayhanur Rahman · Assistant Professor

Md Rayhanur Rahman's faculty-led research profile covers Artificial Intelligence, Cyber Security, Deep Learning, and Generative AI & LLMs.

Artificial IntelligenceCyber SecurityDeep Learning
MYIndependently curated · Unclaimed
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Miao Yu Research Group

University at Buffalo

Miao Yu · Professor, SUNY Empire Innovation Professor

Separating molecules is a central industrial task that can consume substantial energy. Yu studies nanostructures, zeolites, and membranes to develop separation technologies. His research record includes membranes for carbon dioxide capture, recovery of ammonia, and membrane reactors associated with methanol production. Recent work also examines ways to manufacture ultrathin zeolite membranes and improve gas separation performance. These projects connect the structure of nanoscale channels with practical processing questions, investigating how membrane design and fabrication can support more efficient chemical and material production.

Membrane separationsZeolitesCarbon capture
MAIndependently curated · Unclaimed
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Michael A. Hollingsworth Research Group

University of Nebraska Medical Center

Michael A. Hollingsworth · Professor

Hollingsworth investigates pancreatic disease through the biology of epithelial cells and mucin-associated molecules. His laboratory studies MUC1, including its expression and processing in normal cells compared with pancreatic cancer and other disease conditions. Research combines molecular biology, biochemistry, cell biology, and immunology, while developing antibodies and tumor-vaccine reagents that target tumor-associated mucin antigens. Other work supports discovery and validation of biomarkers for early pancreatic disease. The group connects detailed molecular mechanisms with diagnostic and immunotherapy research, making the transition from normal tissue biology to tumor behavior a central question.

Pancreatic cancerMUC1Cancer biomarkers
Portrait of Michael B. ElowitzIndependently curated · Unclaimed
Biology and Bioengineering↗

Michael B. Elowitz Research Group

California Institute of Technology

Michael B. Elowitz · Roscoe Gilkey Dickinson Professor of Biology and Bioengineering

How can engineered gene circuits and quantitative single-cell analysis reveal design principles that control cell fate, communication, and memory in multicellular mammalian systems? Researchers create and analyze fully synthetic molecular circuits to provide new cellular capabilities and test circuit designs. Researchers reconstitute core pathways in minimal cell culture systems and quantitatively analyze their behavior at the single cell level. Researchers combine synthetic biology and mathematical modeling to measure dynamical variability and noise in developmental and cell–cell signaling pathways. Researchers focus on intercellular communication, computation, and memory needed to bring synthetic biology to multicellular systems.

synthetic biologygene circuitssingle-cell imaging
MBIndependently curated · Unclaimed
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Michael Bevis Research Group

Ohio State University (Main campus)

Michael Bevis · Professor, Ohio Eminent Scholar

How can space geodesy be used to quantify Earth system dynamics such as crustal motion, sea-level change, and water vapor variations? The Geodesy & Geodynamics (G2) group uses GPS, terrestrial gravity, and geodetic networks to study crustal motion geodesy, GPS meteorology, and realization of geometric reference frames. Projects include building geodetic networks in the South Pacific, Andes, Greenland, and Antarctica to measure tectonics, postglacial rebound, and loading phenomena. The group applies geodetic observations to earthquake deformation cycles, mountain building, and climate-related sea-level and water vapor studies.

geodesyGPS meteorologycrustal motion
Portrait of Michael BeyelerIndependently curated · Unclaimed
BioEngineering↗

Michael Beyeler Research Group

University of California, Santa Barbara

Michael Beyeler · Associate Professor

Can machine learning models explain and predict human-centered perceptual behavior in visual computing tasks? Research uses machine learning and data-mining methods to study perception and interaction within human-centered computing. Projects investigate algorithmic approaches to pattern recognition and intelligent systems applied to visual computing and human-computer interaction. The group employs computational modeling and data analysis to evaluate algorithms for multimodal perception and interaction. Methods combine experimental data with machine-learning algorithms to probe perceptual and behavioral phenomena in visual tasks.

computational neuroscienceneuroengineeringvisual prosthetics

Showing 313–336 of 541 labs