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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
Browse labs by their listed college affiliationJacob Adler Research Group
Arizona State University (Tempe)Jacob Adler · Research Assistant Professor
What surface processes and histories on Earth, Mars, and the Moon reveal past habitability and planetary evolution? The Adler Lab applies remote sensing, laboratory experimentation, modeling, and field-based geological analysis to study planetary surface processes and histories relevant to astrobiology. Current projects span comparative planetary geology, experimental simulation of surface processes, and development of remote-sensing methods to infer mineralogy and geomorphology. Researchers combine geologic mapping, GIS/remote-sensing datasets, and numerical modeling to interpret depositional and erosional records across planetary surfaces. The lab maintains a public website summarizing experimental workflows, field studies, and publications in planetary science.
Independently curated · UnclaimedJacob D. Durrant Research Group
University of Pittsburgh-Pittsburgh campusJacob D. Durrant · Associate Professor
Can computer-aided methods reliably identify small molecules that bind and modulate disease-relevant proteins in silico? The Durrant lab develops broadly applicable computer-aided drug design (CADD) techniques to identify small-molecule ligands that bind protein grooves and pockets. The group integrates computer docking, molecular dynamics simulations, and big-data/machine-learning to improve ligand-identification workflows and prioritize compounds for experimental testing. Petascale, GPU, and cloud computing are used to scale simulations and accelerate virtual screening across many targets. The lab also builds molecular-visualization tools, including ProteinVR, to explore protein structures and communicate virtual-experiment results.
Independently curated · UnclaimedJacob Jones Research Group
North Carolina State University
Jacob Jones · Kobe Steel Distinguished Professor
How does the arrangement of atoms determine how materials respond to electricity and convert mechanical motion into electrical energy? The group studies piezoelectric materials with X-ray diffraction, connecting changes in crystal structure to their behavior under electric fields. Researchers investigate how moving domain walls, defects and grain size influence the properties used in ultrasound and energy-harvesting devices. Neutron, X-ray and electron scattering help reveal atomic structures in lead-free alternatives to conventional piezoelectric compounds. The work also develops statistical approaches to crystallographic analysis and examines materials for energy storage and nutrient recovery from water.
James H. Henderson Research Group
Syracuse University
James H. Henderson · Professor
James Henderson studies how material environments influence cell behavior, with musculoskeletal repair and regeneration as important goals. His research examines mechanical, biochemical, and topological signals that regulate cell differentiation and function. Programmable materials allow researchers to change features such as surface patterns or mechanical properties during cell culture and observe the response. The work combines biomaterials, cell experiments, and quantitative analysis to understand how engineered surroundings can guide living cells. These questions connect fundamental tissue biology with possible cell-based approaches to repairing damaged musculoskeletal tissues.
Independently curated · UnclaimedJames Hahn Research Group
George Washington UniversityJames Hahn · Professor
What concrete three-dimensional motion and virtual-reality problems improve medical training and body-surface assessment? The Motion Capture and Analysis Laboratory develops optical motion-capture hardware and software to analyze full-body motion for healthcare research. The group builds virtual-reality simulators — for example, a neonatal endotracheal intubation simulator — combining physics-based models and interactive VR for procedural training. The lab develops optical scanning and machine-learning pipelines to assess physiological features in highly obese subjects, targeting hepatic steatosis and fibrosis. Researchers run interdisciplinary projects that pair motion capture with clinical collaborators to translate sensing and ML into health-focused studies.
James Monaghan Research Group
Northeastern University, US
James Monaghan · Professor
Why can an axolotl regrow complex tissues that many other animals cannot replace? The lab uses this salamander to investigate the cellular and molecular basis of regeneration. Research examines the development and regrowth of limbs and the nervous system, including interactions between these organ systems. A central question asks why nerves are necessary for complex tissue regeneration. Another investigates which cellular properties permit limb and spinal-cord regrowth, connecting the biology of this regenerative animal with broader questions about tissue maintenance and repair.
James Walsh Research Group
University of Massachusetts
James Walsh · Associate Professor
How does extreme pressure create new bonding and enable synthesis of exotic solid-state materials with unusual properties? The Walsh Lab investigates chemical reactivity under extreme pressure to target synthesis of novel solid-state compounds. The group integrates dynamic compression techniques and high-pressure synthesis to access kinetically-stabilized non-equilibrium phases. Researchers apply X-ray crystallography and magnetic, spectroscopic, and bulk property measurements to characterize newly discovered materials. The team targets properties including superhardness, ultrahigh density, chemical and heat resistance, superconductivity, and permanent magnetism through controlled high-pressure chemistries.
Janardhan Rao Doppa Research Group
Washington State University
Janardhan Rao Doppa · Professor
Doppa develops artificial intelligence methods that help decide what to design or test next. His research connects structured machine learning and adaptive experimental design with scientific discovery and engineering optimization. WSU describes applications in hardware design, nanoporous materials, drug discovery, three-dimensional printing, cybersecurity, and agriculture. His faculty site also discusses theory-guided learning for managing system performance, power, and temperature. The distinctive opportunity is working on AI that guides expensive research and design choices, where learning algorithms must account for objectives and constraints beyond predictive accuracy alone.
Jane Reusch Research Group
University of Colorado Denver/Anschutz Medical Campus
Jane Reusch · Professor of Medicine
Why can people with diabetes experience reduced exercise capacity even without obvious complications? Jane Reusch investigates the molecular basis of impaired physical function in youth and adults with type 1 and type 2 diabetes. Her research includes interventions that test whether medications improve exercise function, alongside studies of sex differences and responses to exercise training. Collaborations use advanced cardiac and vascular imaging to investigate these questions. This connects metabolic biology with clinical physiology and the measurable ability to be physically active.
Janet Richmond Research Group
University of Illinois Chicago
Janet Richmond · Professor
How do nerve cells organize the molecular machinery that releases chemical messages at precisely the right moment? The lab investigates synaptic transmission, including the proteins that prepare vesicles for neurotransmitter release. Research uses the small worm C. elegans as a model for understanding the nervous system. Work on the protein clarinet examined how its activity organizes other proteins at the presynaptic active zone. These studies connect genetic and molecular mechanisms with the assembly and function of the machinery responsible for communication between neurons.
Independently curated · UnclaimedJared Bard Research Group
Texas A&M University
Jared Bard · Assistant Professor
How do cells read the molecular grammar of mRNA to produce specific, regulatable proteins during stress? The Bard Lab studies stress-induced translational reprogramming and stress-induced biomolecular condensation in cells. The group uses infection by human pathogenic viruses such as Chikungunya virus as a model to study how viruses disperse and co-opt stress granules. Researchers investigate molecular mechanisms by which viral reorganization affects host and viral translation using integrative biophysical, biochemical, and high-throughput tools. The lab applies these methods to cancer cell stress-resistance models to understand how stress granules contribute to resistance to chemotherapy.
Jawdat M. Al-Bassam Research Group
University of California, Davis
Jawdat M. Al-Bassam · Professor, Molecular and Cellular Biology
How do tubulin cofactors and regulatory pathways control the availability and assembly of alpha/beta tubulin dimers inside cells? The group investigates regulatory mechanisms for tubulin biogenesis and polymerization using biochemical and structural approaches to link tubulin pools to microtubule function. The group determines cryo-EM and other structural states of tubulin cofactors to reveal molecular mechanisms of tubulin assembly and degradation. The group reconstitutes microtubule polymerization and depolymerization with purified TOG-domain proteins to map mechanisms of plus-end tracking and polymerase activity. The group combines genetics, biochemistry, and microscopy to test how microtubule-associated proteins tune dynamics during cell division.
Independently curated · UnclaimedJeff Foster Research Group
Tufts University
Jeff Foster · Professor and Chair
How can programming languages and program analysis make software more reliable and secure? The group develops new ways to build more reliable, secure software using programming languages, software engineering, and security research. Researchers work on program analysis, verification, and synthesis methods such as static and dynamic typing, symbolic execution, and framework synthesis to improve program understanding and tooling. Projects include types and contracts for dynamic languages (e.g., RDL) and interaction-based security for mobile apps to detect and prevent vulnerabilities. The group mentors PhD and postdoctoral researchers in building language-based tools and evaluations for real-world software.
Independently curated · UnclaimedJeff Gray Research Group
The University of Alabama
Jeff Gray · University Distinguished Professor
Jeff Gray's faculty-led research profile covers Computer Science Education, Engineering Education and Pedagogy, Human-Computer Interaction, and Software Engineering.
Jeffrey Skolnick Research Group
Georgia Institute of TechnologyJeffrey Skolnick · Regents' Professor; Mary and Maisie Gibson Chair & GRA Eminent Scholar in Computational Systems Biology
How can protein structure prediction and systems-level models be used to predict cellular behavior and identify druggable targets? The CE lab develops computational methods to predict protein tertiary and quaternary structure and assign enzyme functions from sequence. Researchers build tools for functional genomics, metabolic pathway assignment, and drug discovery by predicting small-molecule ligands and druggable protein targets. Methods include large-scale simulation, bioinformatics pipelines, and equilibrium/dynamic modeling of membranes and assemblies. Projects extend to cancer metabolomics and simulation of virtual cells using computational systems-biology approaches.
Jenna Wiens Research Group
University of Michigan-Ann Arbor
Jenna Wiens · Professor
How can hospital data support useful clinical decisions when measurements are incomplete and model predictions can be unreliable? The group develops machine-learning approaches using patient images, laboratory tests and vital signs. Research includes predicting infections and other patient outcomes, learning treatment policies with causal inference and offline reinforcement learning, and evaluating how clinicians respond to AI recommendations. Another direction investigates selective prediction: withholding potentially unreliable outputs to reduce automation bias. The work connects algorithm design with the practical effects of deploying models in clinical workflows.
Jennifer Bernhard Research Group
University of Illinois at Urbana-Champaign
Jennifer Bernhard · Donald Biggar Willett Professor in Electrical and Computer Engineering
How can reconfigurable antenna structures and electromagnetic design improve wireless communication and sensing? The research group develops reconfigurable active and passive antennas using MEMS, microwave switches, ferroelectric materials, and mechanical actuation to tune frequency, bandwidth, and radiation patterns. Researchers investigate electromagnetics for wireless communication, including packaging effects on internal antenna performance and synthesis approaches for embedded and IoT antennas. Methods combine theoretical electromagnetic analysis, experimental fabrication, measurements in anechoic chambers, and design-oriented modeling to optimize antenna systems for data-rate, exposure, and battery performance.
Independently curated · UnclaimedJennifer Rexford Research Group
Princeton UniversityJennifer Rexford · Gordon Y.S. Wu Professor of Engineering
How can network-wide control architectures and programmable data planes be designed to enforce network-level objectives across enterprise, data-center, and Internet-scale networks? The group pursues software-defined networking and network virtualization projects such as SDX, RCP/4D, and SoftCell to explore scalable control and virtualization for operators. Researchers develop data-plane mechanisms and compact on-switch data structures for telemetry and traffic engineering, including programmable-switch sketches and Δ-sketches, to enable in-network measurement. Researchers build and evaluate prototypes on testbeds and campus/backbone deployments and document results in conference publications and technical reports. Researchers study interdomain routing, traffic engineering, and measurement to evaluate routing, policy mechanisms, and network-wide control strategies.
Jennifer Ross Research Group
Syracuse UniversityJennifer Ross · Professor
How do cells organize their interiors without a central manager? Jennifer Ross investigates cellular self-organization and materials inspired by living systems. Her biophysics research uses fluorescence microscopy, including total internal reflection fluorescence techniques, to track molecules and examine microtubule organization. Experiments connect the behavior of proteins and microscopic structures with the physical processes that create larger patterns. The work includes building and adapting optical instruments, bringing experimental physics into cell biology and the design of materials that can organize or respond like biological systems.
Jennifer Sinclair Curtis Research Group
University of California, DavisJennifer Sinclair Curtis · Distinguished Professor
How do particle–fluid interactions determine flow behavior in industrial multiphase systems, and how can models predict them reliably? The group develops fundamental model development for predicting particulate flow phenomena using multiphase computational fluid dynamics for process design and optimization. Researchers implement particulate flow models in commercial CFD software by partnering with industry codes to expand multiphase simulation capability for industrial users. The group integrates its particulate flow models into both commercial and open-source CFD packages, including incorporation into OpenFOAM and MFIX. They apply fluid flow simulations across energy, pharmaceutical, aerospace, chemical and agricultural industries to aid process design and optimization.
Jenny Hsieh Research Group
The University of Texas at San Antonio
Jenny Hsieh · Professor
Jenny Hsieh’s laboratory investigates how neural stem cells and newly generated neurons influence brain function and disease. The group studies adult neurogenesis in the hippocampus using mouse models, circuit tools such as optogenetics and chemogenetics, and patient-derived induced pluripotent stem cells. Its disease-in-a-dish work examines genetic changes associated with epilepsy and neurodegenerative disorders. Connecting cellular mechanisms with circuit behavior helps investigate why some neurons become abnormally excitable. The research aims to inform future neurological interventions through experimental models of acquired and genetic disease.
Jeremy Palmer Research Group
University of Houston
Jeremy Palmer · Ernest J. and Barbara M. Henley Professor
Jeremy Palmer’s group uses molecular simulation to uncover how materials behave where direct observation is difficult. Its computational research spans crystalline materials, soft and complex media, glasses, and metastable liquids, with energy and environmental applications motivating material design. Physics-based calculations and machine learning help investigate molecular transport, nanoparticle dispersion, and the structure of challenging liquids. The group also contributes simulation software and reproducible workflows. This research connects chemical engineering and statistical physics with the practical task of predicting material properties from microscopic interactions.
Independently curated · UnclaimedJessica L. Oster Research Group
Vanderbilt University
Jessica L. Oster · Professor and Department Chair
How did regional climate and wildfire regimes change over the last millennia as recorded in cave mineral chemistry? The Oster lab measures chemical signals preserved in cave minerals such as stalagmites to reconstruct past climates using geochemical proxies. The group uses precise radiometric dating and isotope analyses on stalagmite layers to build high-resolution chronologies and infer past precipitation and temperature variability. The lab leads an international NSF–SNSF project that combines radiocarbon and organic-molecule analyses to link cave records with wildfire history and ecosystem responses. Researchers deploy in‑cave monitoring instruments to capture rapid post-fire geochemical changes and provide preliminary data for larger comparative studies.
Jiang Research Lab
University of Illinois ChicagoNan Jiang · Professor
How can researchers observe chemical behavior at the scale of individual molecules and atoms? The group develops scanning-probe approaches for designing and investigating nanomaterials. A hybrid analytical technique combines nanoscale imaging with spectroscopy to obtain both surface structure and chemical information. Research examines charge transfer, electron localization, light absorption and light emission at very small length scales. The work aims to follow chemical systems dynamically at the single-molecule level and visualize electronic and vibrational behavior within molecules, connecting instrumental development with fundamental surface science.
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