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University research directory
Research labs at
Princeton University.
Compare 5 listed faculty-led profiles, explore their research interests, and follow the evidence in their selected work. These listings are a starting point for discovery and do not establish recruiting availability.
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Review each lab’s official website and recent publications. Compare the methods used, the questions being asked, and the practical requirements of any published opening. Unclaimed profiles are independently curated; the university has not approved or endorsed them.
How to compare research labs ↗Official university website ↗5 research-led lab profiles
Browse labs by their listed college affiliation
Independently curated · UnclaimedClaire F. Gmachl Research Group
Princeton UniversityClaire F. Gmachl · Eugene Higgins Professor of Electrical and Computer Engineering
How can compact mid-infrared lasers be engineered to detect trace gases and biomarkers for environmental and health monitoring? The group develops high-performance quantum cascade lasers with innovative cavity and active-region designs that expand output power, spectral coverage, and tunability. Researchers design and fabricate novel semiconductor devices and semiconductor metamaterials to tailor emission properties and enhance detector selectivity in the mid-infrared. Experimental projects use optical emission spectroscopy and other characterization methods to quantify ion concentrations and validate device performance in sensing applications. By integrating lasers, materials engineering, and detection systems the group targets mid-infrared sensing applications in environment, health, and security contexts.
Independently curated · UnclaimedElad Hazan Research Group
Princeton UniversityElad Hazan · Professor
How can algorithms be designed with provable efficiency and robustness for large-scale learning, online decision-making, and control? The group researches the design and analysis of algorithms for machine learning and optimization, including adaptive gradient methods like AdaGrad and first sublinear-time algorithms for convex optimization. Researchers develop and analyze projection-free and fast semidefinite programming solvers and online Newton-style methods to obtain logarithmic regret guarantees for online convex optimization. Work also introduces nonstochastic control theory linking optimization and control, with implementations and theoretical analysis to enable provable performance.
Independently curated · UnclaimedEmily A. Carter Research Group
Princeton UniversityEmily A. Carter · Gerhard R. Andlinger ’52 Professor in Energy and the Environment
How can quantum-mechanical simulation techniques be developed to discover and design molecules and materials for sustainable energy and carbon dioxide utilization? The group develops and applies quantum mechanical tools to analyze the behavior of large numbers of atoms and electrons in materials to enable atomistic understanding. Researchers pursue discovery and design of materials for generating electricity from sunlight, fuel-cell materials, and making fuels and chemicals from carbon dioxide, water, and air. The group uses validated large-scale quantum simulations that are validated against measurements to scale atomic-scale findings to much larger systems. The team studies lightweight metal alloys and materials relevant to fusion reactor walls to inform materials selection and design.
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.
Independently curated · UnclaimedLeonard Lab
Princeton UniversityNaomi Ehrich Leonard · Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering; Department Chair
How do many individuals coordinate without a single leader? Naomi Ehrich Leonard’s lab studies the dynamics, control, and learning behind networked systems, from robot teams to collective animal behavior. Projects include decentralized robot task allocation, nonlinear models of opinion formation, and learning three-dimensional rotational dynamics from images. The work combines mathematical models, feedback control, and computational experiments to explain how local interactions produce group-level behavior. Its selected papers offer two entry points: predicting rigid-body motion with physics-based learning, and tuning how a network reaches agreement or maintains disagreement.
Showing 1–5 of 5 labs