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University research directory
Research labs at
University of Arizona.
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 · UnclaimedAndrea Achilli Research Group
University of ArizonaAndrea Achilli · Associate Professor of Chemical and Environmental Engineering
How can membrane processes be integrated and optimized to enable water reuse and desalination with energy recovery? The Achilli Research and Teaching (ART) Lab studies membrane processes for water reuse, desalination, and energy recovery from water and wastewater. Research projects use process integration, modeling, and optimization to design advanced water and wastewater treatments. The group develops and evaluates system-level solutions for water resiliency and self-sufficiency in arid regions through applied experiments and programmatic research. Researchers combine modeling, experimental membrane testing, and techno-economic analysis to improve treatment performance and energy efficiency.
Independently curated · UnclaimedBrian J. Enquist Research Group
University of ArizonaBrian J. Enquist · Professor, Ecology and Evolutionary Biology
How do organismal form and function scale to influence biodiversity and ecosystem functioning under climate change? The lab develops general models of biological scaling laws and empirically measures organismal traits to explain form, function, and diversity. Researchers apply scaling theory, physiological and trait-based techniques, and big data analyses to assess macroecological drivers of diversity across biogeographic gradients. Projects integrate theory, informatics infrastructure, and field measurements to forecast how climate change alters forest distribution, biodiversity, and ecosystem functioning. The group uses integrative computation and visualization tools to analyze large ecological datasets and to build predictive frameworks for community and large-scale ecology.
Independently curated · UnclaimedCristian Román-Palacios Research Group
University of ArizonaCristian Román-Palacios · Assistant Professor
How do lineage relationships explain patterns of species richness across regions and time? The group constructs and analyzes large phylogenetic trees to test drivers of biodiversity using species-level datasets and comparative methods. Researchers develop statistical and machine-learning workflows to infer paleoclimatic variables from proxy datasets and to reconstruct past climates for testing species’ responses. The lab applies data mining and biostatistical pipelines to quantify how historical and recent climate change affect species survival probabilities across taxa. The team implements open-source computational tools and reproducible workflows to run large-scale biodiversity and paleoclimate analyses efficiently.
Independently curated · UnclaimedNan-kuei Chen Research Group
University of ArizonaNan-kuei Chen · Professor of Biomedical Engineering
How can MRI acquisition and reconstruction be improved to deliver high-resolution, artifact-free scans for challenging patients within clinical time limits? The research develops novel acquisition and reconstruction approaches, including multiplexed sensitivity encoded (MUSE) MRI, to map human brain connectivity at high spatial resolution. Projects focus on artifact characterization and correction for EPI distortions, susceptibility-induced signal loss, Nyquist and motion-induced phase errors using pulse sequence design and signal processing. Researchers combine fast image acquisition, denoising, and algorithm development to enable multi-contrast and quantitative MRI in clinically-feasible timeframes. The lab implements and validates methods through applied studies, NIH-funded projects, and collaborations on diffusion and functional MRI.
Independently curated · UnclaimedPeter A. Troch Research Group
University of ArizonaPeter A. Troch · Professor and Department Head
What controls hydrological partitioning across scales in catchments and how can that inform water predictions in ungauged basins? The Surface Water Hydrology Group conducts in-situ data collection and field and laboratory experimentation to characterize hillslope and catchment hydrology. The group applies remote sensing and data assimilation to develop physically-based models for predicting seasonal to decadal water availability in semi-arid basins. Researchers use process-based modeling and analysis of hydrological similarity to improve mountain block recharge estimates and catchment classification in ungauged areas. The team works on improving the physical basis of operational flash flood forecasting through measurement, modeling, and synthesis methods.
Showing 1–5 of 5 labs