Connected Science Community Physics PhD Program

The Social Urban Networks (SUN) Lab research lies in the intersection of big data and computational social science, with special attention to human dynamics, collective intelligence, social networks and urban mobility in problems like viral marketing, natural disaster management, or economical segregation in cities.

The Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE) works on the the conception and implementation of machine learning analytics tools aimed at characterizing the dynamics of complex systems to anticipate and predict unobserved events in epidemiology, healthcare, and environmental sciences.

Work at the Complexity & Society Lab, or the “And Lab”, is centered around theoretical and methodological advances in Complex Systems science, with focus areas in network dynamics, learning and inference, network generative models of AI architectures, and graph comparison.

The Mass Spectrometry Facility is a 2,200 sq. ft laboratory space that houses state-of-the-art liquid chromatography and mass spectrometry instrumentation. The lab is operated as a “fee-for-service” resource for Northeastern University and external research investigators. The Facility provides support for mass spectrometry-based molecular profiling applications, including proteomics single cell proteomics, small molecule characterization and quantification.

The time-domain high-energy astrophysics group studies a large variety of high energy transient phenomena related to black holes of mass across all mass scale and neutron stars. This group focuses on tidal disruption of stars by massive black holes (tidal disruption events), the hunt for the rare intermediate-mass black holes, and multi-messenger astronomy (search for the electromagnetic counterparts to gravitational wave events from binary compact object mergers). The group used both the traditional method and the more advanced machine learning technique.

The Center’s objective is simple: think networks. Research focuses on how networks emerge/evolve, how they look, and how they impact our understanding of complex systems. CCNR’s research has developed to unexpected areas, including the topology of the World Wide Web; complex networks inside the cell, and the Internet’s Achilles’ Heel.

The Institute develops imaging tools to highlight chemical processes – enabling clinicians to better diagnose and treat disease.

The Laboratory for the Modeling of Biological and Socio-technical Systems (MOBS) is home to research projects aiming at developing innovative mathematical models and computational tools to better understand large-scale complex networks and systems.