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
YGIndependently curated · Unclaimed
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Nanomaterials Group

Drexel University

Yury Gogotsi · Distinguished University and Charles T. and Ruth M. Bach Professor

What could electronics and energy devices do with materials only a few atomic layers thick? Yury Gogotsi leads research on MXenes, a family of two-dimensional carbides and nitrides, alongside carbon-based nanomaterials. His group discovers, synthesizes, modifies, and assembles these materials, combining them with other nanostructures to tune their properties. Research spans energy storage, healthcare, optoelectronics, and communications. The focus connects materials chemistry with processing and device possibilities, giving newcomers a concrete route into the science behind next-generation functional materials.

MXenesNanomaterialsEnergy storage
RIIndependently curated · Unclaimed
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Nanomedicines and Translational Research Laboratory

University of Nebraska Medical Center

Ram I. Mahato · Professor

Mahato investigates how a therapy reaches the tissue where it is needed. His Nanomedicines and Translational Research Laboratory develops micelles, nanoparticles, polymers, and lipid-based systems for delivering drugs and nucleic acids, including siRNA and miRNA. Projects examine cancer, liver disease, and type 1 diabetes, alongside approaches to drug resistance and disease-related signaling. The group studies how delivery-system components affect drug deposition, tumor vessels, and surrounding tissue. This connects chemistry and formulation design with biological evaluation, aiming to improve targeted delivery and reduce unwanted effects on healthy tissue.

NanomedicineDrug deliveryNucleic-acid delivery
Portrait of Naomi J. HalasIndependently curated · Unclaimed
Electrical and Computer Engineering↗

Naomi J. Halas Research Group

Rice University

Naomi J. Halas · University Professor and Stanley C. Moore Professor of Electrical and Computer Engineering

How does nanoparticle morphology control optical response and enable applications across sensing, medicine, and energy? The Halas Research Group designs and fabricates optically responsive metal nanoscale structures to control plasmonic resonances through structural control in colloidal synthesis. The group studies coupled plasmonic systems and characterizes their optical properties to pursue applications in biosensing, optoelectronics, and plasmonic photocatalysis. Researchers develop photocatalyst particles and prototype light-based chemical reactors for ambient-temperature ammonia cracking and methane reforming using particles invented in the laboratory. The laboratory pursues photothermal nanoparticle approaches to ultralocalized cancer therapies and solar steam generation for water treatment.

nanophotonicsplasmonicsoptics
NRIndependently curated · Unclaimed
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Naren Ramakrishnan Research Group

Virginia Polytechnic Institute and State University

Naren Ramakrishnan · University Distinguished Professor

How can patterns in complex data help researchers anticipate events and make better decisions? The group works on applied machine learning, data science and urban analytics. Research interests include recommender systems, computational epidemiology and visual analytics. Documented projects examine optimization of school boundaries and tools that support interactive redistricting, while related work investigates information extraction from scholarly literature. Participation in pandemic research connects data science with models of disease spread, bringing computational methods to problems that involve both technical predictions and real-world consequences.

Data scienceUrban analyticsComputational epidemiology
NMIndependently curated · Unclaimed
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Natasa Miskov-Zivanov Research Group

University of Pittsburgh-Pittsburgh campus

Natasa Miskov-Zivanov · Associate Professor

How can automated knowledge extraction produce executable mechanistic models that explain cellular behavior? The MeLoDy Lab develops computational methods and an explainable-AI tool ecosystem (BOHEME) to convert literature-derived knowledge into executable biological models. The group builds modular workflows that extract biological interactions, verify evidence across databases, reconcile heterogeneous graphs, and assemble mechanistic models for simulation and hypothesis generation. Projects include ACCORDION, CLARINET, FLUTE, and BioRECIPE for context-aware knowledge selection, reliable model recommendation, and knowledge representation. Research combines knowledge engineering, graph algorithms, mechanistic modeling, and machine learning to scale model building alongside expanding biomedical literature.

complex systemsknowledge representationcomputational biology
NSIndependently curated · Unclaimed
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Nathan Swami Research Group

University of Virginia (Main campus)

Nathan Swami · Professor of Electrical & Computer Engineering and Chemistry

Can small electrical and microfluidic devices reveal differences between cells that conventional measurements miss? The group develops microsystems for separating biological samples and detecting their characteristics. Research includes electrochemical measurements in droplets and microfluidic channels, soft-material platforms, and label-free methods that measure single-cell electrical impedance and deformability. These approaches investigate heterogeneity in stem cells, tumor cells, microbes and extracellular vesicles. The work connects biological samples with devices, circuits and signal analysis, with applications in regenerative biomanufacturing and diagnostics in settings with limited resources.

MicrofluidicsSingle-cell analysisBiosensors
NVIndependently curated · Unclaimed
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Navin Varadarajan Research Group

University of Houston

Navin Varadarajan · M.D. Anderson Professor

Immune cells can behave very differently even when they look similar. Navin Varadarajan’s group develops high-throughput assays to measure the functions of individual cells, including how T cells recognize and kill cancer targets. Its work connects single-cell profiling, microscopy, and protein engineering with therapeutic antibodies, autoimmune disease, and cancer immunotherapy. Published studies examine antitumor cell interactions and ways to improve engineered immune-cell therapies. The group’s approach emphasizes what cells actually do, creating a functional view that complements measurements of genes or molecular markers.

Single-cell analysisCancer immunotherapyT cells
NOIndependently curated · Unclaimed
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Nestor Oviedo Research Group

University of California, Merced

Nestor Oviedo · Professor of Molecular and Cell Biology

Stem cells must support tissue renewal without losing control of growth. Nestor Oviedo investigates the mechanisms regulating stem-cell behavior to understand regeneration, adult tissue maintenance, and malignant transformation. His research interests include planarian biology, tissue repair, and cancer, connecting developmental processes with the maintenance of an adult organism. Related questions span DNA damage and host-pathogen interactions. The work offers a research match for people interested in how cellular decisions balance repair and renewal with the risk of abnormal growth.

Stem cellsTissue regenerationPlanarian biology
NBIndependently curated · Unclaimed
IT, Analytics, and Operations↗

Nicholas Berente Research Group

University of Notre Dame

Nicholas Berente · James H. Sweeny III and Alicia Sweeny Collegiate Professor of IT, Analytics, and Operations

How should organizations design practices and governance to manage generative AI and its ethical challenges in workplaces? The GAMA Lab studies organizational and ethical implications of generative AI, combining empirical studies and design-oriented analyses. Researchers investigate norm-based coordination, guardrails, and managerial design to improve predictability and accountability in human-AI ecologies. The lab develops test-driven and governance-oriented methods for machine learning ethics, and studies how crowd and bot dynamics reshape online community behavior and data validity. Projects integrate computational modeling, field studies, and interdisciplinary theory to inform managerial responses to AI deployment.

generative AIAI ethicsorganizational design
Portrait of Nicholas S. HeatonIndependently curated · Unclaimed
Molecular Genetics and Microbiology↗

Nicholas S. Heaton Research Group

Duke University

Nicholas S. Heaton · Minnie Geller Distinguished Professor of Research in Genetics

How do respiratory viruses establish infection in the lung, spread locally, and trigger harmful inflammation? The laboratory studies how viruses establish infection in the respiratory tract and the resulting host immune responses. Researchers investigate how the lung returns to homeostasis after infection by measuring inflammatory and tissue-repair processes. The group aims to develop new interventions to limit viral and inflammatory lung diseases, translating findings toward therapies. Investigations draw on molecular genetics, microbiology, and integrative immunobiology through multidisciplinary experiments and analyses.

virologyrespiratory RNA virusesvirus-host interactions
CNIndependently curated · Unclaimed
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Niell Lab

University of Oregon

Cris Niell · Professor of Biology

How does a brain turn sensory input into perception and action? Cris Niell studies vision and the activity of neurons and brain regions during perception and cognition. His group develops methods to investigate these processes and has expanded its work to the octopus visual system, exploring what different nervous systems reveal about vision. Research includes classifying components of this system and developing microscope tools for active brain imaging. The work connects systems neuroscience with questions about brain development, visual processing, and neural diversity.

VisionSystems neuroscienceBrain imaging
Portrait of Noah S. DiffenbaughIndependently curated · Unclaimed
Earth System Science↗

Noah S. Diffenbaugh Research Group

Stanford University

Noah S. Diffenbaugh · William Wrigley Professor, Department of Earth System Science

What climate phenomena most directly drive impacts on people and ecosystems at regional scales? The group quantifies how fine-scale climate processes and extreme events drive impacts on water resources, agriculture, health and poverty vulnerability using numerical modeling and data analysis. Researchers combine high-resolution climate modeling, machine learning attribution, and statistical downscaling to detect and attribute recent extreme heat, precipitation, and wildfire-smoke changes. They develop integrated frameworks linking climate-driven hazards to economic and health outcomes to estimate mortality and monetized damages from wildfire smoke and extreme heat. The lab evaluates adaptation and mitigation scenarios to predict timing and probabilities of regional warming thresholds and future extremes.

climate dynamicsextreme eventsclimate impacts
CNIndependently curated · Unclaimed
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Nobile Lab

University of California, Merced

Clarissa Nobile · Professor of Molecular and Cell Biology

Microbes can build communities with properties very different from those of isolated cells. Clarissa Nobile investigates the molecular mechanisms that create, maintain, regulate, and shape the evolution of microbial biofilms. Her group studies transcriptional networks controlling gene expression during biofilm development, with much of the work focused on Candida albicans. Research also examines interactions between fungal and bacterial species. The work connects microbial community biology with persistent infections, making it relevant to interests in fungal pathogens, gene regulation, and the organization of mixed-species communities.

BiofilmsCandida albicansGene regulation
Portrait of Noorbakhsh Amiri GolilarzIndependently curated · Unclaimed
Department of Computer Science↗

Noorbakhsh Amiri Golilarz Research Group

The University of Alabama

Noorbakhsh Amiri Golilarz · Assistant Professor

Noorbakhsh Amiri Golilarz's faculty-led research profile covers Artificial Intelligence, Computer Vision, Data Analytics, and Deep Learning.

Artificial IntelligenceComputer VisionData Analytics
OAIndependently curated · Unclaimed
Cell and Developmental Biology↗

Omar Akbari Research Group

University of California, San Diego

Omar Akbari · Professor, Cell and Developmental Biology

Can engineered genetic systems be used to selectively suppress disease-vector mosquito populations while limiting ecological spread? The group develops conditional and female-lethal genetic approaches for mosquito control using CRISPR and precision genome editing. Researchers construct and test precision-guided sterile insect techniques and reciprocal chromosomal translocations to produce sterile or nonviable offspring in target mosquito species. The team deploys transcriptome engineering and synthetic viral circuitry to generate antiviral effectors and sensors that detect or disable arboviruses in mosquitoes. Experimental projects combine molecular genetics, transgenic lines, and population-level releases to evaluate confinement, inheritance bias, and operational suppression strategies.

CRISPRgenome editingmosquito control
Portrait of Omid VeisehIndependently curated · Unclaimed
Departments of Bioengineering and Chemical and Biomolecular Engineering↗

Omid Veiseh Research Group

Rice University

Omid Veiseh · Professor of Bioengineering

How can engineered biomaterials control host immune responses to enable long-term function of implanted therapeutic devices? The group develops implantable multi-scale devices and biomaterials for cell transplantation, localized controlled drug release, continuous sensing, and tissue regeneration. They combine nano-, micro-, and macro-scale fabrication with molecular engineering and cellular and molecular biology methods to tune geometry, porosity, mechanical stiffness, and surface chemistry of materials. Researchers apply synthetic biology and immunoengineering to build cell-based platforms for real-time and feedback-regulated production of biologics. The team develops tools to non-invasively track cellular and biomolecular activity in vivo to assess host responses and device performance.

BiomaterialsBiofabricationImmunoengineering
CHIndependently curated · Unclaimed
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Optical Oceanography Lab

University of South Florida

Chuanmin Hu · Distinguished University Professor

Chuanmin Hu’s Optical Oceanography Lab reads the ocean through light. The group combines underwater optical measurements, satellite remote sensing, and radiative transfer modeling to investigate harmful algal blooms, coastal pollution, carbon cycling, and connections between river water and the sea. It develops targeted satellite algorithms and integrates their products with other observations to explain changing coastal conditions. Public observing systems include Sargassum monitoring, red-tide information, and virtual buoys, linking optical oceanography with practical information for people managing marine environments.

Ocean opticsRemote sensingAlgal blooms
Portrait of Pamela J. BjorkmanIndependently curated · Unclaimed
Biology and Biological Engineering↗

Pamela J. Bjorkman Research Group

California Institute of Technology

Pamela J. Bjorkman · David Baltimore Professor of Biology and Biological Engineering; Merkin Institute Professor

What are the structural mechanisms by which broadly neutralizing antibodies recognize viral envelope glycoproteins, and how can those mechanisms be exploited to design vaccines and antibody therapeutics? Researchers use X-ray crystallography, electron microscopy, and biochemistry to study pathogen glycoproteins and host immune proteins. Researchers solve cryo-EM and crystal structures of antibody–antigen complexes and analyze conformational states of viral Env trimers. Researchers design mosaic and multivalent protein nanoparticle immunogens and test them in animal immunogenicity studies. Researchers engineer alternative antibody architectures and analyze affinity and avidity effects to increase neutralization breadth and potency.

structural immunologycryo-EMX-ray crystallography
JPIndependently curated · Unclaimed
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Papin Lab

University of Virginia (Main campus)

Jason Papin · Professor

Can maps of cellular metabolism reveal how cells respond to disease and changes in their environment? The group reconstructs and analyzes large biochemical networks, combining high-throughput experimental data with mathematical and computational models. Researchers develop methods for incorporating measurements into network reconstructions and use experiments to test and improve model predictions. Applications include infectious disease, cancer, toxicology and metabolic engineering. The work connects the activity of many biochemical reactions with the behavior of whole cellular systems, seeking mechanisms relevant to human health.

Systems biologyMetabolic modelingComputational biology
PLIndependently curated · Unclaimed
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Patricia LiWang Research Group

University of California, Merced

Patricia LiWang · Professor of Molecular and Cell Biology

A protein’s binding behavior can become a starting point for antiviral or anti-inflammatory strategies. Patricia LiWang studies protein biochemistry and structural biology, including the HIV-inhibiting protein Griffithsin and its mechanism of action. Her group also investigates silk materials for delivering proteins on different timescales and the viral protein vCCI, which binds pro-inflammatory chemokines. These projects connect protein-protein interactions with experimental delivery and inhibition strategies. The research offers a focused match for interests in structural biology, antiviral proteins, biomaterials, and molecular control of inflammation.

Protein biochemistryAntiviral proteinsChemokines
PBIndependently curated · Unclaimed
Computer Sciences↗

Paul Barford Research Group

University of Wisconsin-Madison

Paul Barford · Department Chair and Carl de Boor Professor

How can Internet traffic measurements detect and distinguish malicious attacks, fraud, and traffic anomalies in real time? The group measures and analyzes Internet data, communication protocols, and network topology to quantify normal and abnormal behaviors. Researchers develop and evaluate detection techniques for fraud, traffic anomalies, and intrusions using large-scale datasets and analytic methods to identify patterns of malicious activity. The lab operates experimental infrastructure and software for collecting network measurements and producing datasets used to test detection algorithms. Studies combine protocol-level analysis, topological measurement, and anomaly detection to improve understanding of Internet security and measurement accuracy.

computer networkinginternet measurementnetwork security
Portrait of Paul J. HergenrotherIndependently curated · Unclaimed
Professor of Chemistry↗

Paul J. Hergenrother Research Group

University of Illinois at Urbana-Champaign

Paul J. Hergenrother · Professor of Chemistry

Which small organic compounds selectively kill cancer cells or drug-resistant bacteria and by what mechanisms? Hergenrother's group designs, synthesizes, and evaluates organic molecules with novel biological properties, including enzyme modulators and anticancer and antibacterial compounds. Projects include Complexity-to-Diversity (CtD) synthesis of diverse compounds from natural products and high-throughput screening to identify biologically active molecules. Researchers apply structure-based design, medicinal chemistry, and biological assays, including tests on patient samples, to identify personalized anticancer targets such as procaspase-3 activation and NQO1-selective agents. The group develops predictive rules and synthesis strategies to produce compounds active against Gram-negative pathogens.

organic chemistrynatural productschemical biology
Portrait of Paul V. BraunIndependently curated · Unclaimed
Professor of Chemistry↗

Paul V. Braun Research Group

University of Illinois at Urbana-Champaign

Paul V. Braun · Professor of Chemistry

What materials architectures enable improved electrochemical energy storage at the nanoscale? The Braun group synthesizes and studies materials with unique optical, electrochemical, thermal, mechanical, and transport properties guided by 3D nano- and mesoscale architectures. The group focuses recent projects on materials for electrochemical energy storage, advanced optics, chemical sensing, heat and matter transport control, and self-healing materials. Researchers use synthesis, self-assembly, and fabrication of controlled nano- and mesoscale architectures to produce emergent properties such as tailored transport and optical behavior. The group measures electrochemical, optical, thermal, mechanical, and transport responses to link architecture and materials processing to function.

materials chemistrymaterials researchenergy materials
PYIndependently curated · Unclaimed
Bioengineering↗

Paul Yager Research Group

University of Washington

Paul Yager · Professor

Can low-cost, instrument-free paper-based microfluidic devices provide sensitive, sample-to-result diagnostics at the point of care? The lab develops two-dimensional paper networks (2DPNs) to create high-sensitivity paper protein-binding assays for pathogens and instrument-free nucleic acid amplification tests. Researchers combine materials science, immunoassay chemistry, microfluidics, and cell-phone imaging to detect viral and bacterial targets without laboratory infrastructure. The group designs disposable or low-cost device components and integrated sample-to-result workflows suitable for low-resource settings. They validate methods via analytical studies and publications on lateral flow, fluorescence imaging, and sample lysis compatible with point-of-care deployment.

paper microfluidicspoint-of-care diagnostics2DPN

Showing 361–384 of 541 labs