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University research directory
Research labs at
Stony Brook 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 affiliationAmy Cook Research Group
Stony Brook UniversityAmy Cook · Professor of English, Vice Provost for Academic Affairs
What can theatre reveal about cognition, and what can cognitive science bring to performance? Cook’s scholarship examines this intersection, with particular attention to Shakespeare and contemporary theatre. Her work addresses casting, character, bodies, and the relationships between dramatic texts and performance. Books examine the art and science of casting and how Shakespeare’s stages can represent future possibilities. This research connects literary and theatrical study with questions about the mind, offering an interdisciplinary approach to understanding how performance creates meaning.
Arie Kaufman Research Group
Stony Brook UniversityArie Kaufman · Distinguished Professor
Complex data become easier to investigate when researchers can see and interact with their structure. Kaufman works in computer graphics and visualization, including methods for displaying volumetric and scientific data. His interests extend to interfaces, virtual reality, multimedia, and medical imaging. Current university research profiles highlight work combining virtual reality and machine learning with three dimensional virtual pancreatography for pancreatic cancer research. As director of the Center of Visual Computing, he connects visual computing methods with applications that help researchers examine and interpret complex information.
Benjamin S. Hsiao Research Group
Stony Brook UniversityBenjamin S. Hsiao · Distinguished Professor
Water purification can depend on the architecture of a material at very small scales. Hsiao studies polymers and nanostructured materials, investigating how preparation and processing influence their structure. His group develops nanofibrous membranes for removing pathogens and contaminants from water, including approaches that use gravity or solar heat. Broader research considers fibers, films, and bulk soft materials, with applications in water and energy. These projects connect polymer structure and manufacturing with efforts to develop accessible, sustainable methods for supplying cleaner water.
David Green Research Group
Stony Brook UniversityDavid 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.
Laboratory for Computational Neurodiagnostics
Stony Brook UniversityLilianne R. Mujica-Parodi · Professor of Biomedical Engineering, Baszucki Endowed Chair for Metabolic Neuroscience
The brain operates within a body whose metabolism, hormones, immune responses, and autonomic activity are continually changing. Mujica-Parodi’s Laboratory for Computational Neurodiagnostics investigates how neural circuits regulate themselves and interact with these physiological systems in health and disease. Research extends control theory to these regulatory processes. The group combines basic, clinical, and computational neuroscience, alongside software and instrumentation development. This interdisciplinary approach connects mathematical descriptions of regulation with questions about the relationships between brain function and the wider physiological environment.
Showing 1–5 of 5 labs