University research directory

Research labs at
Rutgers University–New Brunswick.

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
DBIndependently curated · Unclaimed
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Debashish Bhattacharya Research Group

Rutgers University–New Brunswick

Debashish Bhattacharya · Distinguished Professor

How did algae acquire their photosynthetic machinery, and how do marine organisms adapt to demanding environments? Bhattacharya studies these questions through genomics, bioinformatics, and evolutionary biology. His research examines endosymbiosis and the integration of plastids into host cells. Other projects investigate salt tolerance in Picochlorum algae and use single cell genomics to examine marine organisms that are difficult to culture. Coral research addresses genome evolution, mineralization, and symbiosis, connecting molecular changes to the biology of reef organisms and their responses to environmental stress.

Algal evolutionEndosymbiosisMarine genomics
DMIndependently curated · Unclaimed
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Dimitris Metaxas Research Group

Rutgers University–New Brunswick

Dimitris Metaxas · Board of Governors Professor

Metaxas investigates how artificial intelligence can combine learned patterns with knowledge about the world. His research connects machine learning with physical principles, dynamical systems, and other domain knowledge. Projects span computer vision, biomedical image analysis, and computer graphics, alongside image and text generation using generative models. Additional interests include language and vision language models, explainable AI, and learning with limited supervision. These directions connect the mathematical design of intelligent systems with applications where understanding images and interpreting complex data are central research challenges.

Computer visionMedical image analysisGenerative AI
MDIndependently curated · Unclaimed
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Monica Driscoll Research Group

Rutgers University–New Brunswick

Monica Driscoll · Distinguished Professor

What allows an organism to stay healthy as it ages? Driscoll’s laboratory uses the nematode Caenorhabditis elegans to investigate mechanisms that maintain health and protect neurons. Research examines strategies involving genetics, chemicals, and exercise that might extend the period of healthy function. The group combines genetics, cell biology, genetic engineering, and imaging to study aging across molecular, cellular, and tissue scales. Its interests include neuronal protein maintenance and resistance to neurodegeneration, using an experimentally accessible animal to explore how biological systems manage age related decline.

Aging biologyC. elegansNeurodegeneration
VNIndependently curated · Unclaimed
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Nanda Lab

Rutgers University–New Brunswick

Vikas Nanda · Professor

Can proteins be designed to perform functions that natural evolution has not supplied? The Nanda Lab develops computational tools for protein design, structure prediction, and molecular docking. Its projects include designing collagen based extracellular matrices, studying how nonnatural amino acids affect peptide stability, and investigating the relationship between protein digestion and food allergy. Designed matrices are characterized experimentally to examine how their chemical and spatial organization influences cells. The work links structural biology and molecular evolution to biomaterials and possible biomedical applications.

Computational protein designCollagenBiomaterials
KBIndependently curated · Unclaimed
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PRACSYS Lab

Rutgers University–New Brunswick

Kostas Bekris · Professor, Department Chair

Robots must connect what they perceive with actions they can actually execute. Bekris’s PRACSYS Lab develops planning methods that bring perception, learning, and motion together. Research includes manipulating objects in clutter, coordinating multiple robotic arms, and addressing the dynamics of compliant or underactuated robots. Soft hands and tensegrity systems provide examples where physical behavior complicates control. The group investigates both practical performance and the conditions under which algorithms have useful properties, with applications spanning logistics, manufacturing, and service robotics.

Robot motion planningManipulationSoft robotics

Showing 1–5 of 5 labs