NYU Research Projects
Intro explaining how research centers across NYU are involved in data science and here are some examples. Intro explaining how research centers across NYU are involved in data science and here are some examples.
Cosmological Measurement and Exoplanet Discovery
Hogg’s main research interests are in observational cosmology, especially approaches that use galaxies (including our own Milky Way) to infer the physical properties of the Universe. He is also interested in developing the engineering systems that make these projects possible.
Sampling Techniques for Rare Events
Vanden-Eijnden and colleagues have developed theoretical tools and their numerical counterparts to identify the pathways of rare events in complex systems and estimate their rate of occurrence and associated free energy.
Inference of Gene Regulatory Networks
Bonneau and colleagues have developed the cMonkey and the Inferelator algorithms that integrate large multi-level systems biology data-sets to learn dynamic models of how cells make decisions. The Bonneau lab is developing these methods as part of larger efforts to understand the immune system and make more drought tolerant rice.
Simoncelli’s computational vision research aims to answer questions about how sensory systems work, and how we can use the principles of sensory systems to design better man-made systems for processing sensory signals.
Genomics and the Rice Stress Response
Among the projects of the Purugganan Laboratory at the Center for Genomics and Systems Biology is the Environmental Gene Regulatory Interaction Network (EGRINs), which aims to characterize gene regulatory networks involved in the rice stress response.
Medical Artificial Intelligence
Sontag is working with Beth Israel Deaconess Medical Center to integrate all available demographic, laboratory, radiographic, and continuous hemodynamic data to more effectively monitor patients and alert clinicians to patients at risk of sepsis.