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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 · UnclaimedVipin Chaudhary Research Group
Case Western Reserve UniversityVipin Chaudhary · Kevin J. Kranzusch Professor in Computer & Data Science
How can high-performance computing accelerate machine learning on very large scientific datasets to enable faster discoveries? The group pursues projects in high performance computing and machine learning, applying compiler and network expertise to scale algorithms for large data processing. Researchers develop methods in artificial intelligence and quantum computing to explore new computation paradigms and improve performance of scientific applications. The lab uses computer-aided diagnosis and digital image processing techniques to analyze biomedical data and support intervention research. The group secures and manages large externally funded projects to translate scalable computing methods into deployed research infrastructure.
Virginia W. Cornish Research Group
Columbia University
Virginia W. Cornish · Helena Rubinstein Professor, Department of Chemistry
How can living cells be reprogrammed to synthesize nonstandard oligomers and enable in vivo directed evolution? The Cornish Laboratory combines organic chemistry and DNA technology to expand cellular synthetic capabilities and harness the ribosome for unnatural oligomer synthesis. The laboratory engineers yeast to enable directed evolution of molecules and metabolic pathways directly in living cells for evolving new functions. Researchers apply these synthetic biology methods to create tools for bioimaging, molecular diagnostics, and therapeutic molecule generation. The group integrates chemical and genetic strategies to incorporate synthetic amino acid building blocks into biological polymers.
Viviana Gradinaru Research Group
California Institute of Technology
Viviana Gradinaru · Lois and Victor Troendle Professor of Neuroscience and Biological Engineering; Investigator, Howard Hughes Medical Institute; Allen V. C. Davis and Lenabelle Davis Leadership Chair, Richard N. Merkin Institute for Translational Research
What noninvasive methods can enable functional and anatomical access to the vertebrate nervous system for cell-type specific delivery and optical control? The Gradinaru Research Laboratory engineers viral vectors and performs in vivo selection to generate AAV capsids that cross the blood–brain barrier and target distinct brain cell types. The group uses directed evolution and machine learning to develop high-fluxing opsins and trafficking strategies for safer, distant-light optical modulation. Researchers apply tissue clearing and whole-body clearing via vasculature perfusion to map neural circuitry and assess reagent distribution without sectioning. The lab performs multi-species directed evolution and receptor-discovery to identify primate-conserved factors such as carbonic anhydrase IV that enable BBB crossing by engineered AAVs.
Wagner Lab
University of KansasMaggie Wagner · Associate Professor of Ecology and Evolutionary Biology
A plant’s environment includes an entire community of microbial neighbors. Maggie Wagner studies the genetic basis of plant interactions with that environment in both natural and agricultural systems. Her research combines quantitative genetics and evolutionary ecology to investigate links among plant genotypes, traits, and microbiomes. The broader goal is to understand and improve the health of crops and wild plants under environmental challenges. This offers a research match for interests in plant-microbe relationships, complex traits, evolution, and the biological foundations of agricultural resilience.
Independently curated · UnclaimedWei Liao Research Group
Michigan State University
Wei Liao · Professor
How can organic residues be biologically converted into usable bioenergy and chemical products at practical scales? The Liao Research Group cultivates freshwater algae with animal waste to remove nutrients and accumulate biomass for downstream uses. The group evaluates co-digestion strategies at commercial dairy anaerobic digesters to improve methane recovery and waste stabilization. Researchers assess solid digestate from anaerobic digestion as a potential feedstock for ethanol production using biochemical conversion methods. The center integrates solar, biological, and electrochemical technologies to develop novel waste utilization systems that combine capture, conversion, and product synthesis.
Welsh Lab
University of Iowa
Michael J. Welsh · Professor, Roy J. Carver Chair in Biomedical Research
How does a defect in one ion channel leave the lungs vulnerable to disease? Michael Welsh investigates the structure and function of CFTR and how its disruption in cystic fibrosis changes airway defenses. His research uses porcine models of cystic fibrosis to connect molecular defects with the development of lung disease and to support the search for therapies. The work brings together ion-channel biology, innate immunity, and disease modeling, making it relevant to researchers interested in the mechanisms behind inherited pulmonary disorders.
Independently curated · UnclaimedWenbin Lin Research Group
The University of ChicagoWenbin Lin · James Franck Professor of Chemistry
Can functional porous and nanoscale materials be engineered to enable sustainable energy and targeted cancer therapies? The group’s ongoing projects include metal-organic frameworks, catalysis, renewable energy, nanomedicine, and cancer therapy. Researchers design and study metal-organic frameworks as single-site solid asymmetric catalysts, gas storage/separation media, and light-harvesting/photocatalytic materials. The group develops hybrid nanoscale materials for biomedical imaging, targeted drug delivery, and nanoparticle radiosensitizers to enhance chemotherapy, radiotherapy, and immunotherapy and to enable preclinical-to-clinic translation. Current work integrates light-harvesting, water oxidation, and proton reduction expertise to pursue artificial photosynthesis and biofuel catalytic conversions.
Wendy Kohrt Research Group
University of Colorado Denver/Anschutz Medical Campus
Wendy Kohrt · Distinguished Professor of Medicine
Aging and menopause change more than a number on a scale. Wendy Kohrt studies age-related shifts in metabolism, sex hormones, and body composition, emphasizing the changes associated with the menopausal transition. Her research also examines factors that shape musculoskeletal health and physical function in aging. She participates in the Molecular Transducers of Physical Activity Consortium, connecting exercise with its biological effects. The work offers an intersection of geriatric medicine, exercise physiology, and sex differences research for understanding how bodies change across adulthood.
Whelan Research Group
University of KansasRebecca J. Whelan · Professor of Chemistry
A cancer biomarker is useful only if researchers understand what they are measuring. Rebecca Whelan studies the ovarian cancer marker CA125, including its structure and the sites recognized by antibodies. Her lab combines proteomics, microscale separations, bioinformatics, and affinity-reagent development to characterize biomarkers and improve recognition strategies. Research also develops aptamers against proteins and whole-cell targets, with potential uses in targeted delivery and simple detection devices. This connects analytical chemistry with the molecular details needed for better cancer measurement.
Independently curated · UnclaimedWilkins Aquino, Ph.D. Research Group
Duke University
Wilkins Aquino, Ph.D. · Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
How can computational inverse methods reveal material properties and sources from measured acoustic and vibration data in engineering systems? The group develops finite element and inverse-problem formulations to identify viscoelastic and structural material properties from vibroacoustic experiments. Researchers construct reduced-order models and adaptive sampling methods to enable efficient uncertainty quantification for PDE-constrained inverse problems. The lab couples chemo-mechanics and electrochemistry-mechanics models to study stress–reaction interactions in materials and corrosion processes. They apply computational acoustics and acoustics–structure interaction simulations to design diffuse acoustic fields and to support sensor placement and active source identification.
William M. Berelson Research Group
University of Southern California
William M. Berelson · Paxson H. Offield Professor in Coastal and Marine Systems and Professor of Earth Sciences, Environmental Studies and Spatial Sciences
How do biogenic material fluxes and reactions across the seafloor link oceanographic biogeochemistry to the sedimentary record? The Berelson Lab measures particle fluxes through the water column using sediment traps and profiles of solutes and suspended particles to quantify transport and sources. The group uses benthic chambers and pore-water diagenetic models to determine fluxes and reactions across the seafloor. Researchers analyze solid-phase composition and isotopes to connect modern geochemical cycles with sedimentary records and past environments. Field work frequently includes oceanographic research cruises to sites such as the Eastern Tropical Pacific and Santa Monica Basin to collect samples for these analyses.
Wimley Lab
Tulane UniversityWilliam C. Wimley · George A. Adrouny Endowed Professor
How can a short peptide be designed to interact with a cell membrane in a useful way? William Wimley investigates the structure, folding, and design of membrane proteins using peptide models. His lab combines traditional and combinatorial chemistry with high-throughput screening to develop membrane-spanning pores and peptides that recognize receptors associated with cancer. Potential applications include antibiotic design, drug delivery, and biosensors. The work connects fundamental membrane biophysics with the engineering of molecules that control or exploit interactions at cellular boundaries.
Independently curated · UnclaimedWireless, Mobile and Networking Research Lab
The University of Alabama
Xiaoyan Hong · Associate Professor
The Wireless, Mobile and Networking Research Lab studies mobile and wireless networks, distributed systems, vehicular computing, and Internet of Things systems.
Wittkopp Lab
University of Michigan-Ann Arbor
Patricia Wittkopp · Deborah E. Goldberg Distinguished University Professor
Which genetic changes explain why related organisms develop different visible traits? The group investigates how the regulation of gene expression evolves within and between species. Research combines molecular, developmental and quantitative genetics to connect changes in DNA regulation with differences in development. One focus examines the evolution of pigmentation in Drosophila, while another considers patterns of regulatory change across whole genomes. The work links particular genetic changes to broader evolutionary processes, examining how variation in gene activity contributes to differences among organisms.
Independently curated · UnclaimedWojciech Matusik Research Group
Massachusetts Institute of Technology
Wojciech Matusik · Cadence Design Systems Professor of Electrical Engineering and Computer Science
How can machines write domain-specific design programs that guarantee manufacturable physical artifacts under complex physics constraints? The group builds domain-specific design languages and solver-checked programs to generate correct-by-construction artifacts for digital manufacturing. They develop neural physics surrogates and learned simulators that preserve physical structure to accelerate or replace classical solvers while retaining invariants for trustworthiness. The group constructs closed-loop AI-for-discovery systems that propose candidates, run experiments on real instruments, and learn from outcomes to accelerate materials and device discovery. They implement differentiable simulators and inverse-design pipelines applied to cloth, multimaterial 3D printing, robotics, and composite jetting to enable practical inverse fabrication.
Xiaodong Qu Research Group
George Washington UniversityXiaodong Qu · Assistant Professor of Practice
Can machine learning remain reliable and interpretable across diverse human neural and behavioral data? The group develops machine-learning methods for noisy, temporal EEG and multimodal human data to improve generalization across people and sessions. Researchers build human-in-the-loop and interactive EEG/BCI systems, including real-time personalization and accessible EEG game control, to study model behavior under user adaptation. The lab evaluates temporal and multimodal modeling techniques (convolutional and transformer approaches) for EEG tasks such as gaze prediction and motor imagery. Projects examine AI for learning by measuring EEG markers during learning and testing generative-AI effects on higher-education tasks.
Xiaojun Tian Research Group
Arizona State University (Tempe)Xiaojun Tian · Associate Professor
How do gene regulatory circuits and host growth interactions determine robust cellular behavior in synthetic systems? The Tian Lab combines quantitative experiments, synthetic biology, systems biology, and mathematical modeling to uncover design principles of gene regulatory circuits and engineer programmable cellular behaviors. The group studies mechanisms such as growth-mediated dilution, phase separation, and feedback/feedforward control to stabilize synthetic circuits under host growth conditions. Researchers use experimental molecular biology, synthetic circuit design, and computational nonlinear-dynamics modeling to quantify circuit-host interactions and predict circuit behavior across contexts. Ongoing projects document multi-scale engineering of heterogeneity and host-aware synthetic gene circuits supported by recent NIH and NSF awards.
Independently curated · UnclaimedXin Bi Research Group
University of Rochester
Xin Bi · Professor
How do silencers and chromatin elements determine the spatial limits of gene silencing and expression in yeast models? The group investigates whether silencers act in an orientation-dependent fashion by examining cis-acting DNA elements and trans-acting protein factors using genetic and biochemical assays. Researchers study how barrier elements restrict Sir complex spreading by characterizing identified barrier sequences and testing their ability to block silent chromatin propagation. The lab tests whether histone hypoacetylation rather than chromatin compaction is the primary mechanism of repression by manipulating targeted histone acetyltransferases and measuring nucleosome acetylation and transcription. Ongoing projects include DNA damage tolerance and chromatin boundary element studies reported in the group's selected publications.
Xueju Wang Research Group
University of Connecticut
Xueju Wang · Associate Professor of Materials Science & Engineering
Materials that change shape or respond to their surroundings can become building blocks for new devices. Wang’s group combines mechanics, materials science, electronics, and chemistry to study soft responsive materials and multifunctional structures. Projects examine magnetically responsive structures with multiple stable configurations, flexible and pressure tolerant electronics, and systems designed to integrate with biological environments. Soft robotics is another central direction. This research connects the physical behavior of materials with functional structures relevant to robotics, human health, and flexible electronic technologies.
Xuesong Zhou Research Group
Arizona State University (Tempe)Xuesong Zhou · Professor
How can multimodal transportation planning algorithms be made scalable, accurate, and deployable for large metropolitan systems? The ASU Transportation+AI Lab develops methods for dynamic traffic assignment, traffic estimation and prediction, large-scale routing, and rail scheduling, and implements open-source packages like DTALite, NEXTA, and OSM2GMNS. Projects couple differentiable programming, layered computational graphs, and cross-resolution performance models to integrate traffic state estimation with queue and routing models. Researchers use optimization, nonlinear programming, integer programming, and distributed computing to solve time-dependent routing and timetabling problems for transit and rail. The lab documents deployments and downloads of its open-source tools used by metropolitan planning agencies and state DOTs.
Independently curated · UnclaimedYang Xiao Research Group
The University of AlabamaYang Xiao · Professor
Yang Xiao's faculty-led research profile covers Cyber Security, Embedded Systems, Internet of Medical Things (IoMT), and Internet of Things (IoT).
Yoseph Barash Research Group
University of PennsylvaniaYoseph Barash · Professor of Genetics
How do sequence features and cellular context determine mechanisms of alternative splicing and post‑transcriptional isoform regulation in human tissues? The lab develops machine learning algorithms that integrate high‑throughput data such as RNASeq and CLIPSeq to infer RNA biogenesis and function. They build probabilistic graphical models and other computational methods to predict effects of genetic variation on RNA processing, including splicing QTLs. Predictions from computational models are followed by experimental verifications using high‑throughput sequencing assays to test inferred regulatory mechanisms. Ongoing projects include integrating long‑read 3′ and 5′ assays and polyA site annotation to resolve isoform diversity and variant effects on transcript ends.
Independently curated · UnclaimedYoung-Hui Chang Research Group
Georgia Institute of TechnologyYoung-Hui Chang · Professor of Biological Sciences
How do animals use neural control and biomechanics to produce stable locomotion across varied terrains and perturbations? The Comparative Neuromechanics Laboratory measures neuromechanical interactions during locomotion in humans and other animals to identify control strategies and environment coupling. The group performs comparative experiments across species to link biomechanics, neural signaling, and motor control mechanisms. Researchers integrate physiological, biomechanical, and environmental measurements to study adaptation and motor learning after acute and chronic changes. The team studies motor learning processes relevant to clinical rehabilitation and elite sports performance.
Yu Sun Research Group
University of South FloridaYu Sun · Professor
Yu Sun’s research brings together robotics, deep learning, computer vision, haptics, and human-computer interaction. His work in robotic hands, grasping, and manipulation examines how robots can handle objects and carry out useful tasks, while medical applications connect intelligent systems with human needs. He also directs USF’s Center for Innovation, Technology, and Aging. The program links perception, physical interaction, and AI rather than treating them as separate problems, offering a research setting at the intersection of robotic capability, interactive technology, and applications involving people.
Showing 505–528 of 541 labs