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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.
About listings, corrections, and removal ↗541 research-led lab profiles
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Independently curated · UnclaimedDavid C. Parkes Research Group
Harvard University
David C. Parkes · George F. Colony Professor of Computer Science
How can algorithms, mechanism design, and multi-agent learning produce reliable collective decisions when agents are strategic or learn from data? Research addresses market and auction design, preference elicitation, bounded-rationality models, multi-agent reinforcement learning, and computational experiments. The group develops theoretical mechanism-design analyses and runs large-scale computational experiments and empirical studies to test mechanisms and learning-driven preference elicitation. Researchers lead the EconCS research group and connect with Harvard Data Science and Laboratory for Innovation Science resources. Contact details and teaching responsibilities are listed on the SEAS and lab pages.
David Campbell Research Group
Boston University
David Campbell · Professor (Physics, ECE, and MSE); Director of Graduate Studies
How do nonlinear excitations and correlated electronic interactions produce emergent behavior in low-dimensional materials and lattices? Research explores correlated electronic systems in reduced spatial dimensions including conducting polymers and graphene to understand correlation-driven phenomena. The group developed and applies a version of the functional Renormalization Group to analyze interacting one-dimensional and two-dimensional electronic systems. Work on intrinsic localized modes investigates nonlinear excitations (solitons, ILMs) in solids and Bose–Einstein condensates trapped in optical lattices to characterize localized energy modes. Collaborations study Fermi–Pasta–Ulam–Tsingou metastable states to probe non-equilibrium approaches to thermodynamic equilibrium.
David Carroll Research Group
Wake Forest University
David Carroll · Professor
Carroll investigates how dimension, topology, and symmetry shape the behavior of quantum materials. His group studies low-dimensional condensed-matter systems and explores quantum-computing architectures, including topologically stabilized qubits and neuromorphic approaches. A September 2026 Wake Forest report describes his leadership of the NanoteQ research effort and work toward silicon-based qubits and processors that operate at room temperature. These are research directions rather than a promise of a finished computing product. The appeal is a close connection between fundamental materials physics and the design of possible future quantum information technologies.
David Dunand Research Group
Northwestern University
David Dunand · Professor of Materials Science and Engineering
How can 3D printing and sintering produce load-bearing porous metal scaffolds with controlled microstructure and mechanical properties? The group develops 3D ink-extrusion and ink casting methods to fabricate metallic scaffolds and micro-lattices for high-temperature and biomedical applications. Researchers investigate hydrogen reduction of black mass from spent lithium-ion batteries to form Ni-Co-Mn master alloys that can be combined with Fe and Cr to produce stainless steel. The group uses neutron and synchrotron X-ray radiation to measure in situ strains, phase composition and perform tomography during processing and testing. Projects probe sintering resistance and microstructural evolution of porous iron and Fe–W systems under cyclic steam oxidation and hydrogen reduction to understand durability.
David Green Research Group
Stony Brook University
David Green · Associate Professor and AMS Graduate Program Director
Proteins recognize particular partners, and understanding that specificity can help researchers design new interactions. Green uses computational methods to investigate protein binding and interaction networks. His research includes biomolecular simulations, algorithms for designing binding interfaces, and tools for examining interactions between proteins and carbohydrates. A particular application concerns the glycobiology of HIV-1 infection. By combining applied mathematics with models from biophysical chemistry, the work connects molecular recognition with biological and medical questions about how proteins interact and how those interactions might be redesigned.
David Haussler Research Group
University of California, Santa Cruz
David Haussler · Distinguished Professor
What genomic changes underlie human neural development differences and disease-associated variants? The Computational Genomics / Haussler Lab develops statistical and algorithmic methods to analyze genome, transcriptome, and comparative genomics data to study gene regulation and molecular evolution. Researchers apply hidden Markov models, stochastic grammars, and discriminative kernel methods to detect genomic patterns and cancer biomarkers across genomes. The lab uses CRISPR, human cerebral cortex organoids, and single-cell RNA-seq to functionally characterize neurodevelopmental genes altered in human evolution. They build and maintain web tools (UCSC Genome Browser, Xena) for large-scale genomic data sharing and comparative analysis across species.
David Nielsen Research Group
Arizona State University (Tempe)David Nielsen · Professor
Can engineered microbes be reprogrammed to convert renewable feedstocks into fuels and chemicals efficiently at scale? The Nielsen Lab engineers microbial biocatalysts and bioprocesses to convert renewable resources into fuels, chemicals and bioplastics using metabolic engineering and synthetic biology approaches. Projects include pathway engineering, strain optimization, product tolerance enhancement and co-culture systems to improve production from mixed sugars. Methods include heterologous expression, transporter characterization, adaptive laboratory evolution, and integrated bioprocess/product separation designs to enhance yields and robustness. Current projects reported on the lab site highlight applications to CO2 fixation, bicarbonate transporter studies, and bioproduction process integration.
Independently curated · UnclaimedDavid R. Liu Research Group
Harvard UniversityDavid R. Liu · Thomas Dudley Cabot Professor of the Natural Sciences
Can precision genome edits and evolved macromolecules be engineered without double-strand breaks to study and treat disease? The group develops genome-editing proteins such as base editors and prime editors and evaluates their specificity, targeting scope, and deliverability for therapeutic applications. Researchers harness phage-assisted continuous evolution (PACE) and DNA-templated synthesis to evolve proteins and discover bioactive small molecules. The lab integrates molecular engineering, high-throughput selections, and delivery studies to improve editing efficiency and reduce byproducts. The group is led by the Thomas Dudley Cabot Professor of the Natural Sciences and HHMI investigator and documents technologies such as base editing and prime editing pioneered in the laboratory.
David Shean Research Group
University of WashingtonDavid Shean · Associate Professor
How can satellite, airborne, UAV, and terrestrial remote sensing be combined to quantify glacier and snow dynamics across mountain and polar regions? The group develops SlideRule Earth, a cloud-based on-demand framework to process ICESat-2 laser altimetry data into high-level elevation point-cloud products for rapid algorithm development. Researchers design and evaluate stereo+lidar fusion algorithms and on-board pointing/information systems to improve precision of stereo and lidar datasets for NASA STV mission requirements. The lab applies multi-sensor deep learning fusion, radiative transfer simulations (DART), and joint optimization routines to increase vertical accuracy and uncertainty characterization in stereo+lidar products. The group evaluates commercial smallsat, Planet, SkySat, BlackSky, and Capella datasets to capture high-resolution cryosphere dynamics and map snow and glacier changes.
Independently curated · UnclaimedDavid W. Pfennig Research Group
University of North Carolina at Chapel Hill
David W. Pfennig · Bland Simpson Distinguished Professor
How does environmentally induced developmental plasticity influence evolutionary diversification and innovation? The lab investigates causes and consequences of developmental (phenotypic) plasticity and its genetic and developmental bases. Researchers test how competition drives trait evolution and whether such evolution facilitates speciation using empirical ecological and evolutionary approaches. The group studies Batesian mimicry to measure natural selection’s role in promoting adaptive resemblance between palatable and dangerous species. They integrate field and laboratory experiments to connect plastic developmental responses with longer-term evolutionary outcomes.
Independently curated · UnclaimedDavid Zuckerman Research Group
University of Texas at Austin
David Zuckerman · Professor and Regents Chair
Can computation achieve the advantages of randomized algorithms when high-quality randomness is unavailable? Zuckerman's research designs and analyzes randomness extractors and pseudorandom generators to produce high-quality randomness from weak sources. He develops two-source extractor algorithms that combine two defective randomness sources to create robust randomness for algorithms. The group studies conversions of randomized algorithms into deterministic or robust randomized forms, using extractor constructions and pseudorandomness tools. Researchers apply these techniques to complexity theory, coding, network constructions, and hardness-of-approximation questions to understand randomness's role in computation.
Debashish Bhattacharya Research Group
Rutgers University–New Brunswick
Debashish Bhattacharya · Distinguished Professor
How did algae acquire their photosynthetic machinery, and how do marine organisms adapt to demanding environments? Bhattacharya studies these questions through genomics, bioinformatics, and evolutionary biology. His research examines endosymbiosis and the integration of plastids into host cells. Other projects investigate salt tolerance in Picochlorum algae and use single cell genomics to examine marine organisms that are difficult to culture. Coral research addresses genome evolution, mineralization, and symbiosis, connecting molecular changes to the biology of reef organisms and their responses to environmental stress.
Debi Fadool Laboratory
Florida State UniversityDebra Ann Fadool · Nancy Marcus Professor of Biological Science
Smell may help the brain sense internal metabolic conditions as well as external odors. The Debi Fadool Laboratory investigates this possibility through studies of ion channels and neural signaling. Research examines how insulin, GLP-1, and other signaling molecules change electrical activity, and how diet induced obesity affects the olfactory system. Methods include electrophysiology, nanotechnology, and optogenetics. The group connects sensory neuroscience with questions about diabetes, obesity, and energy regulation. The official neuroscience directory currently lists Fadool as accepting graduate students.
Deborah A. Hall Research Group
Rush University
Deborah A. Hall · Professor
Deborah Hall’s research connects genetics, epidemiology, and clinical studies to movement disorders. Her Parkinson’s disease work examines genomic contributors, early interventions such as exercise and neurotrophic factors, and complications including falls. A second focus investigates fragile X-associated ataxia through its frequency, movement and balance features, and possible interventions. She also directs resources such as a movement-disorder DNA repository and a fragile X-associated tremor/ataxia clinic. The program connects patient observations and molecular questions with carefully measured outcomes relevant to mobility and everyday function.
Independently curated · UnclaimedDeji Akinwande Research Group
University of Texas at AustinDeji Akinwande · Professor
Can atomically thin materials enable ultra-low-power wearable sensing and memory devices for continuous health monitoring? The group demonstrated continuous cuffless monitoring using graphene bioimpedance tattoos for arterial blood pressure measurement. Researchers develop nonvolatile resistance switching devices called Atomristors in transition metal dichalcogenide atomic sheets to provide atomic-scale memory. The lab reported the first silicene field-effect transistors operating at room temperature to explore new two-dimensional semiconductor device platforms. The team advances flexible graphene-based electronics and wearable sensors, including a clinically accurate wearable blood pressure monitor and graphene electronic tattoo sensors.
Independently curated · UnclaimedDemian M. Saffer Research Group
University of Texas at AustinDemian M. Saffer · Professor, Department of Earth and Planetary Sciences
How do fluids and deformation at subduction plate boundaries control slow earthquakes and seismic behavior? Demian Saffer's research examines subduction zones using scientific drilling and borehole monitoring to observe slow slip and related processes. The group conducts ocean-drilling expeditions as co‑chief scientists to install observatories and collect in situ data on fault zones. Laboratory and field studies probe fault and sediment mechanics and pore‑fluid interactions to infer frictional behavior of plate interfaces. Researchers integrate geophysical observations, borehole measurements, and experimental petrophysics to relate hydrological and mechanical processes to earthquake occurrence.
Independently curated · UnclaimedDev Niyogi Research Group
University of Texas at AustinDev Niyogi · Professor, Department of Earth and Planetary Sciences
How can urban design and land‑surface processes reduce risks from extreme heat, heavy rain, and urban storms? Niyogi leads the TExUS Lab to study extreme weather and urban sustainability, combining observations and modeling to improve prediction of heavy rainfall, urban thunderstorms, hurricanes, and heat extremes. The group develops and evaluates land‑surface and urban parameterizations to assess how urban and agricultural landscapes modify local hydroclimate. Researchers translate scientific analyses into decision tools and portals to support climate‑ready planning for coastal cities and agricultural systems. The lab combines observational, modeling, and applied decision‑support work to mitigate weather hazards.
Dibakar Bhattacharyya Research Group
University of KentuckyDibakar Bhattacharyya · UK Alumni Professor
Dibakar Bhattacharyya investigates membranes that do more than act as passive filters. His research develops tunable and functionalized materials for water purification, pollutant removal, and useful chemical transformations. Projects include reactive nanostructured membranes, heavy-metal capture, and modifications that improve selective separation. Current research records also describe dissolved-mercury removal and membrane purification for continuous virus-particle biomanufacturing. The work connects environmental engineering and membrane chemistry with practical separation challenges, exploring how carefully chosen surface functions and nanoscale structures can improve treatment, reuse, and manufacturing processes.
Dimitris Metaxas Research Group
Rutgers University–New BrunswickDimitris Metaxas · Board of Governors Professor
Metaxas investigates how artificial intelligence can combine learned patterns with knowledge about the world. His research connects machine learning with physical principles, dynamical systems, and other domain knowledge. Projects span computer vision, biomedical image analysis, and computer graphics, alongside image and text generation using generative models. Additional interests include language and vision language models, explainable AI, and learning with limited supervision. These directions connect the mathematical design of intelligent systems with applications where understanding images and interpreting complex data are central research challenges.
Independently curated · UnclaimedDina Katabi Research Group
Massachusetts Institute of Technology
Dina Katabi · Professor
Can wireless signals and AI produce noninvasive biomarkers for health, sleep, and neurological conditions? The Katabi Lab develops wireless sensors and machine-learning systems for contactless monitoring of vital signs, activity, sleep, and emotion recognition. Researchers build RF-based systems such as EQ-Radio to infer emotional state and analyze reflections of RF signals to extract physiological signals. The group advances ML for limited supervision and imbalanced biomedical data to enable robust in-home and clinical monitoring. Work emphasizes signal-processing, self-supervision, and clinical-scale validation for digital-health deployment.
Dipak Ghosal Research Group
University of California, Davis
Dipak Ghosal · Professor and Chair, Department of Computer Science
What practical latency and throughput limits arise when scaling high-speed networks under realistic traffic workloads? The group develops performance evaluation models and simulations for high-speed networks to quantify bottlenecks and guide protocol design. The group designs wireless network protocols and radio resource mechanisms to improve throughput and reliability in mobile deployments. The group implements traffic signal control algorithms and sensor network coordination strategies to integrate sensing with communication for urban traffic management. The group evaluates network security mechanisms and intrusion-detection approaches using experimental and analytical methods to measure resilience and performance.
Independently curated · UnclaimedDivyakant Agrawal Research Group
University of California, Santa Barbara
Divyakant Agrawal · Distinguished Professor & Chair
How can distributed databases remain available and correct under failures and scale to cloud settings? His research focuses on distributed databases and fault-tolerance for cloud and data-centric services. Work addresses design and analysis of data-aware services, multimedia and spatial databases, and workflow systems for large-scale data management. The group investigates mechanisms for fault tolerance and distributed transactions to ensure data integrity across cloud environments. Methods include systems design and theoretical analysis of distributed algorithms and data structures for high-performance data management.
Independently curated · UnclaimedDonald Yessick Research Group
The University of Alabama
Donald Yessick · Teaching Assistant Professor
Donald Yessick's faculty profile is ready for the lab to add a research mission, team information, and current opportunities.
Dorian Abbot Research Group
The University of ChicagoDorian Abbot · Professor
What do mathematical and computational models reveal about climate, paleoclimate, and planetary habitability? Research uses mathematical and computational models to understand fundamental problems in Earth and planetary science, with current focus areas including rare event sampling and machine learning in weather and climate. The group works on climate dynamics, glaciology, geophysical fluid dynamics, and planetary sciences using theory, high-performance numerical simulation, and data analysis. Researchers collaborate within the department and with external partners to study extreme events and planetary habitability across theoretical and computational approaches. Ongoing projects emphasize rare event sampling methods and AI-boosted techniques to characterize extreme weather.
Showing 121–144 of 541 labs